AI Data Analyzer
Systematic computation + integration map.
Fixed descriptions, research-grade pipelines, and dynamic integration connections across the most computational foundations in the vault.
Evidence-first
Connects math → physics → systems → AI.
Designed for rigorous, computational workflows.
Analyzer map
Foundational systems
Each module defines the compute pipeline and integration links.
AI
AI
18 resources
Foundation models, reasoning loops, and tool orchestration.
Compute pipeline
Retrieval pipelines with ranking and citations.
Model routing for speed vs accuracy.
Guardrails, evals, and hallucination checks.
Integration connections
Machine Learning — Provides model backbones and training.
Systems — Deploy reliable multi-model stacks.
Neuroscience — Translate cognitive models into AI behavior.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
DeepLearning.AI - Generative AI with LLMs
· DeepLearning.AI · Intermediate
AI Marketing
AI Marketing
19 resources
Computational system map for AI Marketing: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Autonomous Marketing Agents
· YouTube · All levels
AI Chatbots for Sales and Support
· YouTube · All levels
Predictive Customer Analytics
· YouTube · All levels
AI Funnels and CRO
· YouTube · All levels
AI Training Data
AI Training Data
16 resources
Computational system map for AI Training Data: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Data Analysis — Quality checks and statistical validity.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
arXiv Bulk Data Access
· arXiv · Advanced
Advertising
Advertising
14 resources
Computational system map for Advertising: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Privacy-First Advertising
· YouTube · All levels
Ad Attribution Models
· YouTube · All levels
Media Buying for Scale
· YouTube · All levels
Ad Creative Testing
· YouTube · All levels
Aerospace
Aerospace
31 resources
Computational system map for Aerospace: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Robotics — Integrate sensing, control, and actuation.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Re-entry and Hypersonic Flight
· YouTube · All levels
Space Environment and Radiation
· YouTube · All levels
Space Mission Design
· YouTube · All levels
Interplanetary Trajectories
· YouTube · All levels
Aerospace Flight
Aerospace Flight
49 resources
Computational system map for Aerospace Flight: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Robotics — Integrate sensing, control, and actuation.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
BVLOS and Regulatory Engineering
· YouTube · All levels
Drone Simulation (Gazebo / JSBSim)
· YouTube · All levels
Autonomous Landing Systems
· YouTube · All levels
Sense-and-Avoid Systems
· YouTube · All levels
Ai
Ai
6 resources
Computational system map for Ai: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
scikit-learn_scikit-learn
· GitHub · All levels
Ai Ml Core
Ai Ml Core
17 resources
Computational system map for Ai Ml Core: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
huggingface · accelerate
· GitHub · All levels
All Math And Future
All Math And Future
4 resources
Computational system map for All Math And Future: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Khan Academy (YouTube)
· Khan Academy · All levels
3Blue1Brown (YouTube)
· 3Blue1Brown · All levels
sindresorhus_awesome
· GitHub · All levels
EbookFoundation_free-programming-books
· GitHub · All levels
Arduino
Arduino
4 resources
Computational system map for Arduino: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Nandland (YouTube)
· Nandland · All levels
Phil's Lab (YouTube)
· Phil's Lab · All levels
DigiKey (YouTube)
· DigiKey · All levels
arduino_ArduinoCore-API
· GitHub · All levels
Assembly
Assembly
9 resources
Computational system map for Assembly: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
GNU Assembler Manual
· GNU · Intermediate
Audio Data
Audio Data
5 resources
Computational system map for Audio Data: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Data Analysis — Quality checks and statistical validity.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
Mozilla Common Voice
· Mozilla · Intermediate
BCI
BCI
5 resources
Computational system map for BCI: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
BCI Foundations Lecture (YouTube)
· YouTube · Foundational
BCI/EEG
BCI/EEG
5 resources
Computational system map for BCI/EEG: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
BCI Competition Datasets
· BCI Competition · Intermediate
BCI/Neurotech
BCI/Neurotech
13 resources
Computational system map for BCI/Neurotech: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
OpenVIBE
· OpenVIBE · Intermediate
Bci
Bci
4 resources
Computational system map for Bci: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
OpenBCI_OpenBCI_GUI
· GitHub · All levels
Bio Computation
Bio Computation
13 resources
Computational system map for Bio Computation: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
openmm · openmm
· GitHub · All levels
Bioengineering
Bioengineering
8 resources
Computational system map for Bioengineering: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
Real Engineering (YouTube)
· Real Engineering · All levels
Bioengineering Lecture Notes
· UC Davis · Intermediate
Bioinformatics
Bioinformatics
13 resources
Computational system map for Bioinformatics: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
WGLab (GitHub Organization)
· GitHub · Intermediate
Biomedical
Biomedical
15 resources
Computational system map for Biomedical: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
Bioelectromagnetics Tutorial
· WHO · Foundational
Bionics
Bionics
4 resources
Computational system map for Bionics: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
Bionics Institute
· Bionics Institute · Intermediate
Biophysics
Biophysics
5 resources
Computational system map for Biophysics: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
MIT OCW - Biophysics
· MIT OCW · Intermediate
C Cpp
C Cpp
4 resources
Computational system map for C Cpp: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
fffaraz_awesome-cpp
· GitHub · All levels
Code Data
Code Data
5 resources
Computational system map for Code Data: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Data Analysis — Quality checks and statistical validity.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
The Stack (BigCode)
· BigCode · Advanced
Computer Architecture
Computer Architecture
9 resources
Computational system map for Computer Architecture: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
Digital Design (Nandland)
· Nandland · Foundational
Computer Engineering
Computer Engineering
4 resources
Computational system map for Computer Engineering: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
Real Engineering (YouTube)
· Real Engineering · All levels
NVIDIA CUDA C Programming Guide
· NVIDIA · Advanced
Computer Science
Computer Science
10 resources
Algorithms, complexity, and formal reasoning for computation.
Compute pipeline
Algorithmic complexity and tractability.
Data structures for efficient search and retrieval.
Formal methods for correctness.
Integration connections
Programming Systems — Build reliable software from formal specs.
AI — Design search and inference pipelines.
Systems — Optimize distributed computation.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
NPTEL Computer Science (YouTube)
· NPTEL · All levels
Computer Vision
Computer Vision
10 resources
Computational system map for Computer Vision: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
CS231n: Convolutional Neural Networks for Visual Recognition
· Stanford · Intermediate
Cryptography
Cryptography
14 resources
Computational system map for Cryptography: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Cryptography Attacks and Failures
· YouTube · All levels
Hardware Security Modules (HSM/TPM)
· YouTube · All levels
Secure Key Management
· YouTube · All levels
Blockchain Security
· YouTube · All levels
Csharp
Csharp
4 resources
Computational system map for Csharp: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
uhub_awesome-c-sharp
· GitHub · All levels
Cybersecurity
Cybersecurity
38 resources
Computational system map for Cybersecurity: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Autonomous Cyber Defense with AI
· YouTube · All levels
Red Teaming AI Systems
· YouTube · All levels
Model Watermarking and IP Protection
· YouTube · All levels
Privacy-Preserving ML (FL/DP)
· YouTube · All levels
Data Analysis
Data Analysis
15 resources
Signal and dataset interrogation for evidence-first decisions.
Compute pipeline
Feature extraction, normalization, and error tracking.
Statistical tests and confidence intervals.
Data quality scoring and anomaly detection.
Integration connections
Machine Learning — Provide cleaned, validated training inputs.
AI — Support evaluation and monitoring.
Neuroscience — Interpret biosignal data.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
Jupyter Notebook Documentation
· Jupyter · Foundational
Education Technology
Education Technology
6 resources
Computational system map for Education Technology: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
Khan Academy (YouTube)
· Khan Academy · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
Learning How to Learn
· Coursera · Foundational
Embedded
Embedded
16 resources
Computational system map for Embedded: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Embedded Systems — Match compute to hardware constraints.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Edge AI System Architecture
· YouTube · All levels
Edge Computer Vision
· YouTube · All levels
Low-Power Edge AI
· YouTube · All levels
Real-Time AI Constraints
· YouTube · All levels
Embedded Rtos
Embedded Rtos
14 resources
Computational system map for Embedded Rtos: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Embedded Systems — Match compute to hardware constraints.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Nandland (YouTube)
· Nandland · All levels
Phil's Lab (YouTube)
· Phil's Lab · All levels
DigiKey (YouTube)
· DigiKey · All levels
raspberrypi · pico-sdk
· GitHub · All levels
Embedded Systems
Embedded Systems
23 resources
Real-time computation on constrained devices and sensors.
Compute pipeline
Timing analysis for control loops.
Power management and duty cycling.
Firmware validation and logging.
Integration connections
Robotics — Enable onboard control and sensing.
Systems — Coordinate networked devices.
AI — Run edge inference pipelines.
Top resources
Embedded Systems Projects (full course)
· YouTube · All levels
Low Power Embedded Design
· YouTube · All levels
Embedded Debugging (JTAG / SWD)
· YouTube · All levels
Embedded Drivers and HAL Design
· YouTube · All levels
Engineering
Engineering
12 resources
Practical design loops for physical and cyber-physical systems.
Compute pipeline
Design constraints, safety margins, and optimization.
Signal integrity and power budgets.
Reliability analysis and testing plans.
Integration connections
Embedded Systems — Implement designs on constrained hardware.
RF/Microwave — Bridge signal physics to hardware.
Robotics — Integrate mechanics, sensors, and control.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
Real Engineering (YouTube)
· Real Engineering · All levels
drom_awesome-hdl
· GitHub · All levels
Esp32
Esp32
10 resources
Computational system map for Esp32: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
ESP32 FreeRTOS Internals
· YouTube · All levels
ESP32 Edge AI
· YouTube · All levels
ESP32 Low Power / Deep Sleep
· YouTube · All levels
ESP32 WiFi + BLE Internals
· YouTube · All levels
Ethical Hacking
Ethical Hacking
18 resources
Computational system map for Ethical Hacking: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Bug Bounty Methodologies
· YouTube · All levels
Reverse Engineering and Malware Analysis
· YouTube · All levels
Exploit Development (intro)
· YouTube · All levels
Red Team Operations
· YouTube · All levels
FPGA/HDL
FPGA/HDL
27 resources
Computational system map for FPGA/HDL: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Open-Source HDL (Yosys, Verilator)
· YouTube · All levels
Hardware Acceleration for AI (FPGA)
· YouTube · All levels
EDA Tools (Synthesis, P&R)
· YouTube · All levels
ASIC vs FPGA Design
· YouTube · All levels
Fpga Hdl Vlsi Eda
Fpga Hdl Vlsi Eda
18 resources
Computational system map for Fpga Hdl Vlsi Eda: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Nandland (YouTube)
· Nandland · All levels
Phil's Lab (YouTube)
· Phil's Lab · All levels
DigiKey (YouTube)
· DigiKey · All levels
chipsalliance · verible
· GitHub · All levels
Fungi Networks
Fungi Networks
8 resources
Computational system map for Fungi Networks: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
milamartyna · Fungal-Growth
· GitHub · All levels
Instruction Data
Instruction Data
5 resources
Computational system map for Instruction Data: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Data Analysis — Quality checks and statistical validity.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
OpenAssistant OASST1
· OpenAssistant · Intermediate
Json
Json
4 resources
Computational system map for Json: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
Khan Academy (YouTube)
· Khan Academy · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
burningtree_awesome-json
· GitHub · All levels
Local AI
Local AI
8 resources
Computational system map for Local AI: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
OpenWebUI
· Open WebUI · Intermediate
Low Level Tooling
Low Level Tooling
13 resources
Computational system map for Low Level Tooling: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
ARM-software · arm-trusted-firmware
· GitHub · All levels
Machine Learning
Machine Learning
5 resources
Statistical learning pipelines for prediction and control.
Compute pipeline
Model training, validation, and calibration.
Feature importance and explainability.
Bias/variance trade-offs and performance limits.
Integration connections
AI — Power higher-level reasoning systems.
Robotics — Enable perception and policy learning.
Embedded Systems — Edge inference for real-time signals.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
The Elements of Statistical Learning (free PDF)
· Hastie/Tibshirani/Friedman · Advanced
Marketing
Marketing
24 resources
Computational system map for Marketing: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Global and Multi-Channel Strategy
· YouTube · All levels
Affiliate and Partner Programs
· YouTube · All levels
Pricing and Monetization Strategy
· YouTube · All levels
Community-Driven Growth
· YouTube · All levels
Marketing Analytics
Marketing Analytics
19 resources
Computational system map for Marketing Analytics: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Privacy and Consent Analytics
· YouTube · All levels
Revenue Analytics (LTV/CAC)
· YouTube · All levels
Dashboards and KPI Design
· YouTube · All levels
A/B Testing and Experimentation
· YouTube · All levels
Marketing Data
Marketing Data
21 resources
Computational system map for Marketing Data: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Data Analysis — Quality checks and statistical validity.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Server-Side Tracking
· YouTube · All levels
Marketing Data Governance
· YouTube · All levels
First-Party Data Strategies
· YouTube · All levels
Identity Resolution
· YouTube · All levels
Materials
Materials
4 resources
Computational system map for Materials: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
Real Engineering (YouTube)
· Real Engineering · All levels
NIST Material Measurement Lab
· NIST · Intermediate
Math Numeric
Math Numeric
12 resources
Computational system map for Math Numeric: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Khan Academy (YouTube)
· Khan Academy · All levels
3Blue1Brown (YouTube)
· 3Blue1Brown · All levels
leanprover-community · mathlib4
· GitHub · All levels
networkx · networkx
· GitHub · All levels
Mathematics
Mathematics
22 resources
Formal foundations for models, optimization, and stability analysis.
Compute pipeline
Linear algebra operators, eigen spectra, and condition numbers.
Probability models, entropy, and uncertainty bounds.
Optimization landscapes and convergence guarantees.
Integration connections
Physics — Translate equations into measurable dynamics.
Machine Learning — Define loss surfaces and generalization bounds.
Data Analysis — Quantify error and sampling limits.
Top resources
Khan Academy (YouTube)
· Khan Academy · All levels
3Blue1Brown (YouTube)
· 3Blue1Brown · All levels
OpenStax - Linear Algebra
· OpenStax · Intermediate
StatQuest (YouTube)
· StatQuest · Intermediate
Meta Indexes
Meta Indexes
31 resources
Computational system map for Meta Indexes: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Closed-Loop Growth Systems
· YouTube · All levels
Market Sensing with AI
· YouTube · All levels
Competitive Intelligence
· YouTube · All levels
Revenue Intelligence Platforms
· YouTube · All levels
Microcontrollers
Microcontrollers
21 resources
Computational system map for Microcontrollers: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Embedded Systems — Match compute to hardware constraints.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
MCU Security Basics
· YouTube · All levels
MCU Bootloaders
· YouTube · All levels
MCU Sensor Interfacing
· YouTube · All levels
MCU Communication Protocols
· YouTube · All levels
Micropython
Micropython
4 resources
Computational system map for Micropython: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Embedded Systems — Match compute to hardware constraints.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Nandland (YouTube)
· Nandland · All levels
Phil's Lab (YouTube)
· Phil's Lab · All levels
DigiKey (YouTube)
· DigiKey · All levels
micropython_micropython
· GitHub · All levels
Microwave Engineering
Microwave Engineering
4 resources
Computational system map for Microwave Engineering: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Engineering — Translate signals into hardware limits.
Embedded Systems — Match compute to hardware constraints.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
Real Engineering (YouTube)
· Real Engineering · All levels
Microwaves101
· Microwaves101 · Intermediate
Multimodal Data
Multimodal Data
5 resources
Computational system map for Multimodal Data: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Data Analysis — Quality checks and statistical validity.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
LAION-5B
· LAION · Advanced
Networking
Networking
14 resources
Computational system map for Networking: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Satellite and Aerospace Networking
· YouTube · All levels
Edge and IoT Networking
· YouTube · All levels
Network Performance and QoS
· YouTube · All levels
Software Defined Networking (SDN)
· YouTube · All levels
Neuro Bci Biomedical
Neuro Bci Biomedical
14 resources
Computational system map for Neuro Bci Biomedical: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
labstreaminglayer · liblsl
· GitHub · All levels
Neuromorphic Computing
Neuromorphic Computing
11 resources
Computational system map for Neuromorphic Computing: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
SpiNNaker Documentation
· SpiNNaker · Advanced
Neuromorphic Photonic
Neuromorphic Photonic
15 resources
Computational system map for Neuromorphic Photonic: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Photonic Accelerators vs GPUs
· YouTube · All levels
Integrated Photonics for AI
· YouTube · All levels
Optical Reservoir Computing
· YouTube · All levels
Neuromorphic Photonics Research Talks
· YouTube · All levels
Neuroscience
Neuroscience
13 resources
Neural systems modeling, brain signals, and cognition.
Compute pipeline
Signal preprocessing and feature extraction.
Neural coding models and interpretability.
Safety constraints for stimulation research.
Integration connections
BCI/Neurotech — Apply signal models to devices.
AI — Align cognitive models with AI behavior.
Data Analysis — Validate biosignal pipelines.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
Neural Data Science
· Neuromatch · Intermediate
Neurostimulation
Neurostimulation
4 resources
Computational system map for Neurostimulation: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Robotics — Integrate sensing, control, and actuation.
Neuroscience — Map signals to biological dynamics.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
Top resources
NeuroTechX (YouTube)
· NeuroTechX · All levels
Huberman Lab (YouTube)
· Huberman Lab · All levels
BCI Guys (YouTube)
· BCI Guys · All levels
OpenNIBS
· SimNIBS · Intermediate
Open Data
Open Data
70 resources
Computational system map for Open Data: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Data Analysis — Quality checks and statistical validity.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Autoware Foundation
· github.com · All levels
Robotics Book Notes
· github.com · All levels
StatQuest Datasets
· github.com · All levels
NeuroTechX · awesome-neurotech
· GitHub · All levels
PCB Design
PCB Design
21 resources
Computational system map for PCB Design: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
PCB Debugging
· YouTube · All levels
PCB Manufacturing and Assembly
· YouTube · All levels
EMI / EMC PCB Design
· YouTube · All levels
Mixed-Signal PCB Design
· YouTube · All levels
Pcb Electronics
Pcb Electronics
7 resources
Computational system map for Pcb Electronics: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Nandland (YouTube)
· Nandland · All levels
Phil's Lab (YouTube)
· Phil's Lab · All levels
DigiKey (YouTube)
· DigiKey · All levels
KiCad · kicad-source-mirror
· GitHub · All levels
Photonics
Photonics
19 resources
Computational system map for Photonics: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Quantum Photonics
· YouTube · All levels
Photonic Sensors and Imaging
· YouTube · All levels
Optical Communications
· YouTube · All levels
Integrated Photonic Circuits
· YouTube · All levels
Physics
Physics
15 resources
Mechanistic models for energy, signals, and system constraints.
Compute pipeline
Energy balances and transport equations.
Signal propagation, resonance, and stability.
Scaling laws and dimensional analysis.
Integration connections
Engineering — Turn physical laws into design constraints.
Systems — Model feedback, control, and stability.
Quantum Computing — Define quantum state evolution and limits.
Top resources
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
PBS Space Time (YouTube)
· PBS Space Time · All levels
MIT OCW - Quantum Physics I
· MIT OCW · Intermediate
Crash Course Physics (YouTube)
· Crash Course · Foundational
Physics Simulation
Physics Simulation
25 resources
Computational system map for Physics Simulation: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
High-Performance Scientific Computing
· YouTube · All levels
Computational Physics with Python
· YouTube · All levels
Numerical PDE Solvers
· YouTube · All levels
Quantum System Simulation
· YouTube · All levels
Programming
Programming
22 resources
Computational system map for Programming: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
freeCodeCamp YouTube
· freeCodeCamp · All levels
Programming Systems
Programming Systems
13 resources
Runtime, compilers, and infrastructure for high-performance compute.
Compute pipeline
Memory models, concurrency, and scheduling.
Compiler pipelines and optimization passes.
Distributed systems coordination.
Integration connections
Embedded Systems — Constrain execution for real-time hardware.
Robotics — Ensure deterministic control loops.
AI — Serve models with low latency.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
Real Engineering (YouTube)
· Real Engineering · All levels
JetBrains · kotlin
· GitHub · All levels
Python
Python
7 resources
Computational system map for Python: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
josephmisiti_awesome-machine-learning
· GitHub · All levels
Quantum Computing
Quantum Computing
34 resources
Quantum information theory and algorithmic speedups.
Compute pipeline
Gate counts, circuit depth, and error budgets.
Noise models and fidelity estimates.
Resource scaling across architectures.
Integration connections
Physics — Ground algorithms in quantum mechanics.
Computer Science — Analyze complexity improvements.
AI — Explore hybrid quantum-classical workflows.
Top resources
Quantum Information Processing (QIP/APS talks)
· YouTube · All levels
Quantum Complexity Theory
· YouTube · All levels
NISQ Era Quantum Computing
· YouTube · All levels
Quantum Error Correction
· YouTube · All levels
Quantum Physics
Quantum Physics
19 resources
Computational system map for Quantum Physics: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Physics — Ground computations in physical laws.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Foundations of Quantum Theory
· YouTube · All levels
Quantum Thermodynamics
· YouTube · All levels
Atomic, Molecular, Optical (AMO) Physics
· YouTube · All levels
Solid-State Quantum Physics
· YouTube · All levels
RAG
RAG
4 resources
Computational system map for RAG: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
LlamaIndex
· LlamaIndex · Intermediate
RF/Microwave
RF/Microwave
8 resources
Computational system map for RF/Microwave: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Engineering — Translate signals into hardware limits.
Embedded Systems — Match compute to hardware constraints.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
Top resources
Nandland (YouTube)
· Nandland · All levels
Phil's Lab (YouTube)
· Phil's Lab · All levels
DigiKey (YouTube)
· DigiKey · All levels
SDR Academy
· SDR Academy · Foundational
RTOS
RTOS
25 resources
Computational system map for RTOS: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Embedded Systems — Match compute to hardware constraints.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Safety-Critical RTOS
· YouTube · All levels
RTOS Networking (CAN, UART, SPI)
· YouTube · All levels
Multicore RTOS Systems
· YouTube · All levels
RTOS for Robotics
· YouTube · All levels
Rag Vector Search
Rag Vector Search
14 resources
Computational system map for Rag Vector Search: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
spotify · annoy
· GitHub · All levels
Research
Research
9 resources
Computational system map for Research: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
Khan Academy (YouTube)
· Khan Academy · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
CORE Open Research
· CORE · All levels
Reverse Engineering
Reverse Engineering
4 resources
Computational system map for Reverse Engineering: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
Real Engineering (YouTube)
· Real Engineering · All levels
Ghidra Documentation
· NSA · Intermediate
Rf Sdr Microwave
Rf Sdr Microwave
8 resources
Computational system map for Rf Sdr Microwave: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Engineering — Translate signals into hardware limits.
Embedded Systems — Match compute to hardware constraints.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
Top resources
Nandland (YouTube)
· Nandland · All levels
Phil's Lab (YouTube)
· Phil's Lab · All levels
DigiKey (YouTube)
· DigiKey · All levels
gnuradio · gnuradio
· GitHub · All levels
Robotics
Robotics
83 resources
Sensing, planning, and control for autonomous systems.
Compute pipeline
State estimation, SLAM, and sensor fusion.
Control policies and safety constraints.
Simulation-to-real transfer metrics.
Integration connections
Embedded Systems — Run control loops at the edge.
Machine Learning — Learn policies and perception.
Systems — Coordinate multi-robot fleets.
Top resources
Robotics Benchmarking and Evaluation
· YouTube · All levels
Robot Software Architecture
· YouTube · All levels
Simulation-to-Real (Sim2Real)
· YouTube · All levels
Hardware-in-the-Loop (HIL)
· YouTube · All levels
Robotics Ros
Robotics Ros
15 resources
Computational system map for Robotics Ros: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Robotics — Integrate sensing, control, and actuation.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Gazebo / Ignition Simulation
· YouTube · All levels
ROS / ROS2 Full Course
· YouTube · All levels
Articulated Robotics (YouTube)
· Articulated Robotics · All levels
The Construct (YouTube)
· The Construct · All levels
Ros
Ros
3 resources
Computational system map for Ros: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Robotics — Integrate sensing, control, and actuation.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Articulated Robotics (YouTube)
· Articulated Robotics · All levels
The Construct (YouTube)
· The Construct · All levels
ros_ros
· GitHub · All levels
Ros2
Ros2
3 resources
Computational system map for Ros2: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Robotics — Integrate sensing, control, and actuation.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Articulated Robotics (YouTube)
· Articulated Robotics · All levels
The Construct (YouTube)
· The Construct · All levels
ros2_ros2
· GitHub · All levels
Science
Science
8 resources
Computational system map for Science: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
PBS Space Time (YouTube)
· PBS Space Time · All levels
Google Dataset Search
· Google · All levels
NASA Earthdata
· NASA · All levels
Systems
Systems
4 resources
End-to-end architecture, reliability, and control across stacks.
Compute pipeline
Latency budgets and throughput targets.
Fault tolerance and redundancy modeling.
Monitoring metrics and alert thresholds.
Integration connections
Programming Systems — Implement scalable runtimes.
AI — Deploy inference stacks reliably.
Robotics — Maintain safety across subsystems.
Top resources
Stanford Online (YouTube)
· Stanford Online · All levels
MIT OpenCourseWare (YouTube)
· MIT OpenCourseWare · All levels
Real Engineering (YouTube)
· Real Engineering · All levels
MIT OCW - Operating System Engineering
· MIT OCW · Advanced
Tabular Data
Tabular Data
4 resources
Computational system map for Tabular Data: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Data Analysis — Quality checks and statistical validity.
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
OpenML
· OpenML · Intermediate
VLSI
VLSI
10 resources
Computational system map for VLSI: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Nandland (YouTube)
· Nandland · All levels
Phil's Lab (YouTube)
· Phil's Lab · All levels
DigiKey (YouTube)
· DigiKey · All levels
OpenPDKs
· OpenPDKs · Advanced
Vector DB
Vector DB
7 resources
Computational system map for Vector DB: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Sentdex (YouTube)
· Sentdex · All levels
Andrej Karpathy (YouTube)
· Andrej Karpathy · All levels
DeepLearning.AI (YouTube)
· DeepLearning.AI · All levels
Milvus
· Milvus · Advanced
Web
Web
4 resources
Computational system map for Web: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
diegocard_awesome-html5
· GitHub · All levels
Web Development
Web Development
14 resources
Computational system map for Web Development: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
Eloquent JavaScript
· Eloquent JavaScript · Foundational
Web Full Stack
Web Full Stack
17 resources
Computational system map for Web Full Stack: data, models, and validation loops.
Compute pipeline
Define measurable targets, constraints, and evaluation metrics.
Build data → model → validation pipeline with reproducible baselines.
Track error, drift, and reliability across deployments.
Integration connections
Mathematics — Provide formal models and bounds.
Systems — Ensure reliability and throughput.
AI — Apply reasoning + retrieval workflows.
Top resources
Harvard CS50 (YouTube)
· Harvard CS50 · All levels
The Cherno (YouTube)
· The Cherno · All levels
freeCodeCamp (YouTube)
· freeCodeCamp · All levels
encode · starlette
· GitHub · All levels
Related hubs
Jump into the resources, pipeline, and evidence layers connected to each analyzer module.