| 00 | Dev Environment | Build | Python | complete |
| 00 | Git & Collaboration | Learn | — | complete |
| 00 | GPU Setup & Cloud | Build | Python | complete |
| 00 | APIs & Keys | Build | Python | complete |
| 00 | Jupyter Notebooks | Build | Python | complete |
| 00 | Python Environments | Build | Shell | complete |
| 00 | Docker for AI | Build | Docker | complete |
| 00 | Editor Setup | Build | — | complete |
| 00 | Data Management | Build | Python | complete |
| 00 | Terminal & Shell | Learn | — | complete |
| 00 | Linux for AI | Learn | — | complete |
| 00 | Debugging and Profiling | Build | Python | complete |
| 01 | Linear Algebra Intuition | Learn | Python, Julia | complete |
| 01 | Vectors, Matrices & Operations | Build | Python, Julia | complete |
| 01 | Matrix Transformations | Build | Python, Julia | complete |
| 01 | Calculus for Machine Learning | Learn | Python | complete |
| 01 | Chain Rule & Automatic Differentiation | Build | Python | complete |
| 01 | Probability and Distributions | Learn | Python | complete |
| 01 | Bayes' Theorem | Build | Python | complete |
| 01 | Optimization | Build | Python | complete |
| 01 | Information Theory | Learn | Python | complete |
| 01 | Dimensionality Reduction | Build | Python | complete |
| 01 | Singular Value Decomposition | Build | Python, Julia | complete |
| 01 | Tensor Operations | Build | Python | complete |
| 01 | Numerical Stability | Build | Python | complete |
| 01 | Norms and Distances | Build | Python | complete |
| 01 | Statistics for Machine Learning | Build | Python | complete |
| 01 | Sampling Methods | Build | Python | complete |
| 01 | Linear Systems | Build | Python | complete |
| 01 | Convex Optimization | Build | Python | complete |
| 01 | Complex Numbers for AI | Learn | Python | complete |
| 01 | The Fourier Transform | Build | Python | complete |
| 01 | Graph Theory for Machine Learning | Build | Python | complete |
| 01 | Stochastic Processes | Learn | Python | complete |
| 02 | What Is Machine Learning | Learn | Python | complete |
| 02 | Linear Regression | Build | Python | complete |
| 02 | Logistic Regression | Build | Python | complete |
| 02 | Decision Trees and Random Forests | Build | Python | complete |
| 02 | Support Vector Machines | Build | Python | complete |
| 02 | K-Nearest Neighbors and Distances | Build | Python | complete |
| 02 | Unsupervised Learning | Build | Python | complete |
| 02 | Feature Engineering & Selection | Build | Python | complete |
| 02 | Model Evaluation | Build | Python | complete |
| 02 | Bias-Variance Tradeoff | Learn | Python | complete |
| 02 | Ensemble Methods | Build | Python | complete |
| 02 | Hyperparameter Tuning | Build | Python | complete |
| 02 | ML Pipelines | Build | Python | complete |
| 02 | Naive Bayes | Build | Python | complete |
| 02 | Time Series Fundamentals | Build | Python | complete |
| 02 | Anomaly Detection | Build | Python | complete |
| 02 | Handling Imbalanced Data | Build | Python | complete |
| 02 | Feature Selection | Build | Python | complete |
| 03 | The Perceptron | Build | Python | complete |
| 03 | Multi-Layer Networks and Forward Pass | Build | Python | complete |
| 03 | Backpropagation from Scratch | Build | Python | complete |
| 03 | Activation Functions | Build | Python | complete |
| 03 | Loss Functions | Build | Python | complete |
| 03 | Optimizers | Build | Python | complete |
| 03 | Regularization | Build | Python | complete |
| 03 | Weight Initialization and Training Stability | Build | Python | complete |
| 03 | Learning Rate Schedules and Warmup | Build | Python | complete |
| 03 | Build Your Own Mini Framework | Build | Python | complete |
| 03 | Introduction to PyTorch | Build | Python | complete |
| 03 | Introduction to JAX | Build | Python | complete |
| 03 | Debugging Neural Networks | Build | Python | complete |
| 04 | Image Fundamentals — Pixels, Channels, Color Spaces | Learn | Python | complete |
| 04 | Convolutions from Scratch | Build | Python | complete |
| 04 | CNNs — LeNet to ResNet | Build | Python | complete |
| 04 | Image Classification | Build | Python | complete |
| 04 | Transfer Learning & Fine-Tuning | Build | Python | complete |
| 04 | Object Detection — YOLO from Scratch | Build | Python | complete |
| 04 | Semantic Segmentation — U-Net | Build | Python | complete |
| 04 | Instance Segmentation — Mask R-CNN | Build | Python | complete |
| 04 | Image Generation — GANs | Build | Python | complete |
| 04 | Image Generation — Diffusion Models | Build | Python | complete |
| 04 | Stable Diffusion — Architecture & Fine-Tuning | Build | Python | complete |
| 04 | Video Understanding — Temporal Modeling | Build | Python | complete |
| 04 | 3D Vision — Point Clouds & NeRFs | Build | Python | complete |
| 04 | Vision Transformers (ViT) | Build | Python | complete |
| 04 | Real-Time Vision — Edge Deployment | Build | Python | complete |
| 04 | Build a Complete Vision Pipeline — Capstone | Build | Python | complete |
| 04 | Self-Supervised Vision — SimCLR, DINO, MAE | Build | Python | complete |
| 04 | Open-Vocabulary Vision — CLIP | Build | Python | complete |
| 04 | OCR & Document Understanding | Build | Python | complete |
| 04 | Image Retrieval & Metric Learning | Build | Python | complete |
| 04 | Keypoint Detection & Pose Estimation | Build | Python | complete |
| 04 | 3D Gaussian Splatting from Scratch | Build | Python | complete |
| 04 | Diffusion Transformers & Rectified Flow | Build | Python | complete |
| 04 | SAM 3 & Open-Vocabulary Segmentation | Build | Python | complete |
| 04 | Vision-Language Models — The ViT-MLP-LLM Pattern | Build | Python | complete |
| 04 | Monocular Depth & Geometry Estimation | Build | Python | complete |
| 04 | Multi-Object Tracking & Video Memory | Build | Python | complete |
| 04 | World Models & Video Diffusion | Build | Python | complete |
| 05 | Text Processing — Tokenization, Stemming, Lemmatization | Build | Python | complete |
| 05 | Bag of Words, TF-IDF, and Text Representation | Build | Python | complete |
| 05 | Word Embeddings — Word2Vec from Scratch | Build | Python | complete |
| 05 | GloVe, FastText, and Subword Embeddings | Build | Python | complete |
| 05 | Sentiment Analysis | Build | Python | complete |
| 05 | Named Entity Recognition | Build | Python | complete |
| 05 | POS Tagging and Syntactic Parsing | Build | Python | complete |
| 05 | CNNs and RNNs for Text | Build | Python | complete |
| 05 | Sequence-to-Sequence Models | Build | Python | complete |
| 05 | Attention Mechanism — The Breakthrough | Build | Python | complete |
| 05 | Machine Translation | Build | Python | complete |
| 05 | Text Summarization | Build | Python | complete |
| 05 | Question Answering Systems | Build | Python | complete |
| 05 | Information Retrieval and Search | Build | Python | complete |
| 05 | Topic Modeling — LDA and BERTopic | Build | Python | complete |
| 05 | Text Generation Before Transformers — N-gram Language Models | Build | Python | complete |
| 05 | Chatbots — Rule-Based to Neural to LLM Agents | Build | Python | complete |
| 05 | Multilingual NLP | Build | Python | complete |
| 05 | Subword Tokenization — BPE, WordPiece, Unigram, SentencePiece | Learn | Python | complete |
| 05 | Structured Outputs & Constrained Decoding | Build | Python | complete |
| 05 | Natural Language Inference — Textual Entailment | Learn | Python | complete |
| 05 | Embedding Models — The 2026 Deep Dive | Learn | Python | complete |
| 05 | Chunking Strategies for RAG | Build | Python | complete |
| 05 | Coreference Resolution | Learn | Python | complete |
| 05 | Entity Linking & Disambiguation | Build | Python | complete |
| 05 | Relation Extraction & Knowledge Graph Construction | Build | Python | complete |
| 05 | LLM Evaluation — RAGAS, DeepEval, G-Eval | Build | Python | complete |
| 05 | Long-Context Evaluation — NIAH, RULER, LongBench, MRCR | Learn | Python | complete |
| 05 | Dialogue State Tracking | Build | Python | complete |
| 06 | Audio Fundamentals — Waveforms, Sampling, Fourier Transform | Learn | Python | complete |
| 06 | Spectrograms, Mel Scale & Audio Features | Build | Python | complete |
| 06 | Audio Classification — From k-NN on MFCCs to AST and BEATs | Build | Python | complete |
| 06 | Speech Recognition (ASR) — CTC, RNN-T, Attention | Build | Python | complete |
| 06 | Whisper — Architecture & Fine-Tuning | Build | Python | complete |
| 06 | Speaker Recognition & Verification | Build | Python | complete |
| 06 | Text-to-Speech (TTS) — From Tacotron to F5 and Kokoro | Build | Python | complete |
| 06 | Voice Cloning & Voice Conversion | Build | Python | complete |
| 06 | Music Generation — MusicGen, Stable Audio, Suno, and the Licensing Earthquake | Build | Python | complete |
| 06 | Audio-Language Models — Qwen2.5-Omni, Audio Flamingo, GPT-4o Audio | Build | Python | complete |
| 06 | Real-Time Audio Processing | Build | Python | complete |
| 06 | Build a Voice Assistant Pipeline — The Phase 6 Capstone | Build | Python | complete |
| 06 | Neural Audio Codecs — EnCodec, SNAC, Mimi, DAC and the Semantic-Acoustic Split | Learn | Python | complete |
| 06 | Voice Activity Detection & Turn-Taking — Silero, Cobra, and the Flush Trick | Build | Python | complete |
| 06 | Streaming Speech-to-Speech — Moshi, Hibiki, and Full-Duplex Dialogue | Learn | Python | complete |
| 06 | Voice Anti-Spoofing & Audio Watermarking — ASVspoof 5, AudioSeal, WaveVerify | Build | Python | complete |
| 06 | Audio Evaluation — WER, MOS, UTMOS, MMAU, FAD, and the Open Leaderboards | Learn | Python | complete |
| 07 | Why Transformers — The Problems with RNNs | Learn | Python | complete |
| 07 | Self-Attention from Scratch | Build | Python | complete |
| 07 | Multi-Head Attention | Build | Python | complete |
| 07 | Positional Encoding — Sinusoidal, RoPE, ALiBi | Build | Python | complete |
| 07 | The Full Transformer — Encoder + Decoder | Build | Python | complete |
| 07 | BERT — Masked Language Modeling | Build | Python | complete |
| 07 | GPT — Causal Language Modeling | Build | Python | complete |
| 07 | T5, BART — Encoder-Decoder Models | Learn | Python | complete |
| 07 | Vision Transformers (ViT) | Build | Python | complete |
| 07 | Audio Transformers — Whisper Architecture | Learn | Python | complete |
| 07 | Mixture of Experts (MoE) | Build | Python | complete |
| 07 | KV Cache, Flash Attention & Inference Optimization | Build | Python | complete |
| 07 | Scaling Laws | Learn | Python | complete |
| 07 | Build a Transformer from Scratch — The Capstone | Build | Python | complete |
| 07 | Attention Variants — Sliding Window, Sparse, Differential | Build | Python | complete |
| 07 | Speculative Decoding — Draft, Verify, Repeat | Build | Python | complete |
| 08 | Generative Models — Taxonomy & History | Learn | Python | complete |
| 08 | Autoencoders & Variational Autoencoders (VAE) | Build | Python | complete |
| 08 | GANs — Generator vs Discriminator | Build | Python | complete |
| 08 | Conditional GANs & Pix2Pix | Build | Python | complete |
| 08 | StyleGAN | Build | Python | complete |
| 08 | Diffusion Models — DDPM from Scratch | Build | Python | complete |
| 08 | Latent Diffusion & Stable Diffusion | Build | Python | complete |
| 08 | ControlNet, LoRA & Conditioning | Build | Python | complete |
| 08 | Inpainting, Outpainting & Image Editing | Build | Python | complete |
| 08 | Video Generation | Build | Python | complete |
| 08 | Audio Generation | Build | Python | complete |
| 08 | 3D Generation | Build | Python | complete |
| 08 | Flow Matching & Rectified Flows | Build | Python | complete |
| 08 | Evaluation — FID, CLIP Score, Human Preference | Build | Python | complete |
| 08 | Visual Autoregressive Modeling (VAR): Next-Scale Prediction | Build | Python | complete |
| 09 | MDPs, States, Actions & Rewards | Learn | Python | complete |
| 09 | Dynamic Programming — Policy Iteration & Value Iteration | Build | Python | complete |
| 09 | Monte Carlo Methods — Learning from Complete Episodes | Build | Python | complete |
| 09 | Temporal Difference — Q-Learning & SARSA | Build | Python | complete |
| 09 | Deep Q-Networks (DQN) | Build | Python | complete |
| 09 | Policy Gradient — REINFORCE from Scratch | Build | Python | complete |
| 09 | Actor-Critic — A2C and A3C | Build | Python | complete |
| 09 | Proximal Policy Optimization (PPO) | Build | Python | complete |
| 09 | Reward Modeling & RLHF | Build | Python | complete |
| 09 | Multi-Agent RL | Build | Python | complete |
| 09 | Sim-to-Real Transfer | Build | Python | complete |
| 09 | RL for Games — AlphaZero, MuZero, and the LLM-Reasoning Era | Build | Python | complete |
| 10 | Tokenizers: BPE, WordPiece, SentencePiece | Build | Python, Rust | complete |
| 10 | Building a Tokenizer from Scratch | Build | Python | complete |
| 10 | Data Pipelines for Pre-Training | Build | Python | complete |
| 10 | Pre-Training a Mini GPT (124M Parameters) | Build | Python | complete |
| 10 | Scaling: Distributed Training, FSDP, DeepSpeed | Build | Python | complete |
| 10 | Instruction Tuning (SFT) | Build | Python | complete |
| 10 | RLHF: Reward Model + PPO | Build | Python | complete |
| 10 | DPO: Direct Preference Optimization | Build | Python | complete |
| 10 | Constitutional AI and Self-Improvement | Build | Python | complete |
| 10 | Evaluation: Benchmarks, Evals, LM Harness | Build | Python | complete |
| 10 | Quantization: Making Models Fit | Build | Python | complete |
| 10 | Inference Optimization | Build | Python | complete |
| 10 | Building a Complete LLM Pipeline | Build | Python | complete |
| 10 | Open Models: Architecture Walkthroughs | Learn | Python | complete |
| 10 | Speculative Decoding and EAGLE-3 | Build | Python | complete |
| 10 | Differential Attention (V2) | Build | Python | complete |
| 10 | Native Sparse Attention (DeepSeek NSA) | Build | Python | complete |
| 10 | Multi-Token Prediction (MTP) | Build | Python | complete |
| 10 | DualPipe Parallelism | Learn | Python | complete |
| 10 | DeepSeek-V3 Architecture Walkthrough | Learn | Python | complete |
| 10 | Jamba — Hybrid SSM-Transformer | Learn | Python | complete |
| 10 | Async and Hogwild! Inference | Build | Python | complete |
| 10 | Speculative Decoding and EAGLE | Build | Python | complete |
| 10 | Gradient Checkpointing and Activation Recomputation | Build | Python | complete |
| 11 | Prompt Engineering: Techniques & Patterns | Build | Python | complete |
| 11 | Few-Shot, Chain-of-Thought, Tree-of-Thought | Build | Python | complete |
| 11 | Structured Outputs: JSON, Schema Validation, Constrained Decoding | Build | Python | complete |
| 11 | Embeddings & Vector Representations | Build | Python | complete |
| 11 | Context Engineering: Windows, Budgets, Memory, and Retrieval | Build | Python | complete |
| 11 | RAG (Retrieval-Augmented Generation) | Build | Python | complete |
| 11 | Advanced RAG (Chunking, Reranking, Hybrid Search) | Build | Python | complete |
| 11 | Fine-Tuning with LoRA & QLoRA | Build | Python | complete |
| 11 | Function Calling & Tool Use | Build | Python | complete |
| 11 | Evaluation & Testing LLM Applications | Build | Python | complete |
| 11 | Caching, Rate Limiting & Cost Optimization | Build | Python | complete |
| 11 | Guardrails, Safety & Content Filtering | Build | Python | complete |
| 11 | Building a Production LLM Application | Build | Python | complete |
| 11 | Model Context Protocol (MCP) | Build | Python | complete |
| 11 | Prompt Caching and Context Caching | Build | Python | complete |
| 11 | Agent State Machines — Graphs, Nodes, Checkpoints | Build | Python | complete |
| 11 | Agent Framework Tradeoffs — Graph, Role, and Actor Orchestration | Learn | Python | complete |
| 12 | Vision Transformers and the Patch-Token Primitive | Learn | Python | complete |
| 12 | CLIP and Contrastive Vision-Language Pretraining | Build | Python | complete |
| 12 | From CLIP to BLIP-2 — Q-Former as Modality Bridge | Build | Python | complete |
| 12 | Flamingo and Gated Cross-Attention for Few-Shot VLMs | Learn | Python | complete |
| 12 | LLaVA and Visual Instruction Tuning | Build | Python | complete |
| 12 | Any-Resolution Vision: Patch-n'-Pack and NaFlex | Build | Python | complete |
| 12 | Open-Weight VLM Recipes: What Actually Matters | Learn | Python | complete |
| 12 | LLaVA-OneVision: Single-Image, Multi-Image, Video in One Model | Build | Python | complete |
| 12 | Qwen-VL Family and Dynamic-FPS Video | Learn | Python | complete |
| 12 | InternVL3: Native Multimodal Pretraining | Learn | Python | complete |
| 12 | Chameleon and Early-Fusion Token-Only Multimodal Models | Build | Python | complete |
| 12 | Emu3: Next-Token Prediction for Image and Video Generation | Learn | Python | complete |
| 12 | Transfusion: Autoregressive Text + Diffusion Image in One Transformer | Build | Python | complete |
| 12 | Show-o and Discrete-Diffusion Unified Models | Learn | Python | complete |
| 12 | Janus-Pro: Decoupled Encoders for Unified Multimodal Models | Build | Python | complete |
| 12 | MIO and Any-to-Any Streaming Multimodal Models | Learn | Python | complete |
| 12 | Video-Language Models: Temporal Tokens and Grounding | Build | Python | complete |
| 12 | Long-Video Understanding at Million-Token Context | Build | Python | complete |
| 12 | Audio-Language Models: the Whisper to Audio Flamingo 3 Arc | Build | Python | complete |
| 12 | Omni Models: Qwen2.5-Omni and the Thinker-Talker Split | Build | Python | complete |
| 12 | Embodied VLAs: RT-2, OpenVLA, π0, GR00T | Learn | Python | complete |
| 12 | Document and Diagram Understanding | Build | Python | complete |
| 12 | ColPali and Vision-Native Document RAG | Build | Python | complete |
| 12 | Multimodal RAG and Cross-Modal Retrieval | Build | Python | complete |
| 12 | Multimodal Agents and Computer-Use (Capstone) | Build | Python | complete |
| 13 | The Tool Interface — Why Agents Need Structured I/O | Learn | Python | complete |
| 13 | Function Calling Deep Dive — OpenAI, Anthropic, Gemini | Build | Python | complete |
| 13 | Parallel Tool Calls and Streaming with Tools | Build | Python | complete |
| 13 | Structured Output — JSON Schema, Pydantic, Zod, Constrained Decoding | Build | Python | complete |
| 13 | Tool Schema Design — Naming, Descriptions, Parameter Constraints | Learn | Python | complete |
| 13 | MCP Fundamentals: Stateless Requests and JSON-RPC | Learn | Python | complete |
| 13 | Building an MCP Server: Stateless Python and TypeScript | Build | Python, TypeScript | complete |
| 13 | Building an MCP Client: Discovery, Routing, and Dual-Era Fallback | Build | Python | complete |
| 13 | MCP Transports: stdio and Stateless Streamable HTTP | Learn | Python | complete |
| 13 | MCP Resources and Prompts: Addressable Context for Stateless Servers | Build | Python | complete |
| 13 | MCP Model Input: Sampling Migration and Stateless MRTR | Build | Python | complete |
| 13 | Explicit Scope and Stateless Elicitation | Build | Python | complete |
| 13 | MCP Tasks Extension: Durable Work on a Stateless Core | Build | Python | complete |
| 13 | MCP Apps on the Stateless Protocol | Build | Python | complete |
| 13 | MCP Security: Poisoned Metadata, Routing, and MRTR State | Learn | Python | complete |
| 13 | MCP Authorization: CIMD, Issuer Binding, PKCE, and Step-Up | Build | Python | complete |
| 13 | Stateless MCP Gateways and Registry Admission | Learn | Python | complete |
| 13 | MCP Auth in Production: Issuer-Bound Enrollment and Tokens | Build | Python | complete |
| 13 | A2A — Agent-to-Agent Protocol | Build | Python | complete |
| 13 | OpenTelemetry GenAI — Tracing Tool Calls End-to-End | Build | Python | complete |
| 13 | LLM Routing Layer — LiteLLM, OpenRouter, Portkey | Learn | Python | complete |
| 13 | Agent Skills: Portable Contract and Runtime Boundary | Build | Python | complete |
| 13 | Capstone: Stateless Tool Ecosystem | Build | Python | complete |
| 13 | Skill Discovery and Progressive Disclosure | Build | Python | complete |
| 13 | Skill Invocation and Routing | Build | Python | complete |
| 13 | Skill Permissions, Sandboxes, and Trust | Build | Python | complete |
| 13 | Skill Evals, Packaging, and Portability | Build | Python | complete |
| 13 | MCP Tool Contracts and Content | Build | Python | complete |
| 13 | MCP Reliability, Cancellation, and Flow Control | Build | Python | complete |
| 13 | MCP Registry Supply Chain: Admission, Drift, and Rollback | Build | Python | complete |
| 13 | MCP Conformance Engineering: Versioning, Evidence, and Operations | Build | Python | complete |
| 14 | The Agent Loop: Observe, Think, Act | Build | Python | complete |
| 14 | ReWOO and Plan-and-Execute: Decoupled Planning | Build | Python | complete |
| 14 | Reflexion: Verbal Reinforcement Learning | Build | Python | complete |
| 14 | Tree of Thoughts and LATS: Deliberate Search | Build | Python | complete |
| 14 | Self-Refine and CRITIC: Iterative Output Improvement | Build | Python | complete |
| 14 | Tool Use and Function Calling | Build | Python | complete |
| 14 | Agent Memory — Virtual Context and Memory Paging | Build | Python | complete |
| 14 | Memory Blocks and Sleep-Time Compute | Build | Python | complete |
| 14 | Hybrid Memory: Vector + Graph + KV | Build | Python | complete |
| 14 | Skill Libraries and Lifelong Learning (Voyager) | Build | Python | complete |
| 14 | Planning with HTN and Evolutionary Search | Build | Python | complete |
| 14 | Anthropic's Workflow Patterns: Simple Over Complex | Build | Python | complete |
| 14 | Stateful Graph Orchestration — Durable Execution and Checkpoints | Build | Python | complete |
| 14 | The Actor Model for Agents — Async Messages and Typed Runtimes | Build | Python | complete |
| 14 | Role-Based Agent Teams — Roles, Tasks, Processes | Build | Python | complete |
| 14 | OpenAI Agents SDK: Handoffs, Guardrails, Tracing | Build | Python | complete |
| 14 | The Harness as a Library — Subagents and Session Store | Build | Python | complete |
| 14 | Production Agent Runtimes — Fast Instantiation and Typed Workflows | Learn | Python | complete |
| 14 | Benchmarks: SWE-bench, GAIA, AgentBench | Learn | Python | complete |
| 14 | Benchmarks: WebArena and OSWorld | Learn | Python | complete |
| 14 | Computer Use: Claude, OpenAI CUA, Gemini | Build | Python | complete |
| 14 | Voice Agents: Pipecat and LiveKit | Build | Python | complete |
| 14 | OpenTelemetry GenAI Semantic Conventions | Build | Python | complete |
| 14 | Agent Observability: Langfuse, Phoenix, Opik | Learn | Python | complete |
| 14 | Multi-Agent Debate and Collaboration | Build | Python | complete |
| 14 | Failure Modes: Why Agents Break | Build | Python | complete |
| 14 | Prompt Injection and the PVE Defense | Build | Python | complete |
| 14 | Orchestration Patterns: Supervisor, Swarm, Hierarchical | Build | Python | complete |
| 14 | Production Runtimes: Queue, Event, Cron | Learn | Python | complete |
| 14 | Eval-Driven Agent Development | Build | Python | complete |
| 14 | Agent Workbench Engineering: Why Capable Models Still Fail | Learn | Python | complete |
| 14 | The Minimal Agent Workbench | Build | Python | complete |
| 14 | Agent Instructions as Executable Constraints | Build | Python | complete |
| 14 | Repo Memory and Durable State | Build | Python | complete |
| 14 | Initialization Scripts for Agents | Build | Python | complete |
| 14 | Scope Contracts and Task Boundaries | Build | Python | complete |
| 14 | Runtime Feedback Loops | Build | Python | complete |
| 14 | Verification Gates | Build | Python | complete |
| 14 | Reviewer Agent: Separate Builder from Marker | Build | Python | complete |
| 14 | Multi-Session Handoff | Build | Python | complete |
| 14 | The Workbench on a Real Repo | Build | Python | complete |
| 14 | Capstone: Ship a Reusable Agent Workbench Pack | Build | Python | complete |
| 14 | Frame the Task Before the Agent Writes Code | Build | Python | complete |
| 14 | Build an Evidence-Backed Execution Plan | Build | Python | complete |
| 14 | Delegate Agent Work with Isolation and Merge Contracts | Build | Python | complete |
| 14 | Turn Every Agent Correction into a System Improvement | Build | Python | complete |
| 14 | Define the Outcome Before You Choose the Output | Build | Python | complete |
| 14 | Discover the Workflow People Actually Perform | Build | Python | complete |
| 14 | Map Assumptions and Resolve the Riskiest One First | Build | Python | complete |
| 14 | Choose the Smallest Slice That Can Change the Decision | Build | Python | complete |
| 14 | Write Specifications That Preserve Judgment | Build | Python | complete |
| 14 | Design Success Metrics Before the Result Exists | Build | Python | complete |
| 14 | Choose Prototype, Pilot, or Production Deliberately | Build | Python | complete |
| 14 | Build a Feedback Ratchet with Ownership and Retirement | Build | Python | complete |
| 15 | The Shift from Chatbots to Long-Horizon Agents | Learn | Python | complete |
| 15 | STaR, V-STaR, Quiet-STaR — Self-Taught Reasoning | Learn | Python | complete |
| 15 | AlphaEvolve — Evolutionary Coding Agents | Learn | Python | complete |
| 15 | Darwin Godel Machine — Open-Ended Self-Modifying Agents | Learn | Python | complete |
| 15 | AI Scientist v2 — Workshop-Level Autonomous Research | Learn | Python | complete |
| 15 | Automated Alignment Research (Anthropic AAR) | Learn | Python | complete |
| 15 | Recursive Self-Improvement — Capability vs Alignment | Learn | Python | complete |
| 15 | Bounded Self-Improvement Designs | Learn | Python | complete |
| 15 | The Autonomous Coding Agent Landscape (2026) | Learn | Python | complete |
| 15 | Permission Modes for Autonomous Agents | Learn | Python | complete |
| 15 | Browser Agents and Long-Horizon Web Tasks | Learn | Python | complete |
| 15 | Long-Running Background Agents: Durable Execution | Learn | Python | complete |
| 15 | Action Budgets, Iteration Caps, and Cost Governors | Learn | Python | complete |
| 15 | Kill Switches, Circuit Breakers, and Canary Tokens | Learn | Python | complete |
| 15 | Human-in-the-Loop: Propose-Then-Commit | Learn | Python | complete |
| 15 | Checkpoints and Rollback | Learn | Python | complete |
| 15 | Constitutional AI and Rule Overrides | Learn | Python | complete |
| 15 | Llama Guard and Input/Output Classification | Learn | Python | complete |
| 15 | Anthropic Responsible Scaling Policy v3.0 | Learn | Python | complete |
| 15 | OpenAI Preparedness Framework and DeepMind Frontier Safety Framework | Learn | Python | complete |
| 15 | METR Time Horizons and External Capability Evaluation | Learn | Python | complete |
| 15 | CAIS, CAISI, and Societal-Scale Risk | Learn | Python | complete |
| 16 | Why Multi-Agent? | Learn | TypeScript | complete |
| 16 | Heritage of FIPA-ACL and Speech Acts | Learn | Python | complete |
| 16 | Communication Protocols | Build | TypeScript | complete |
| 16 | The Multi-Agent Primitive Model | Learn | Python | complete |
| 16 | Supervisor / Orchestrator-Worker Pattern | Build | Python | complete |
| 16 | Hierarchical Architecture and Its Failure Mode | Learn | Python | complete |
| 16 | Society of Mind and Multi-Agent Debate | Build | Python | complete |
| 16 | Role Specialization — Planner, Critic, Executor, Verifier | Build | Python | complete |
| 16 | Parallel / Swarm / Networked Architectures | Build | Python | complete |
| 16 | Group Chat and Speaker Selection | Build | Python | complete |
| 16 | Handoffs and Routines — Stateless Orchestration | Build | Python | complete |
| 16 | A2A — The Agent-to-Agent Protocol | Build | Python | complete |
| 16 | Shared Memory and Blackboard Patterns | Build | Python | complete |
| 16 | Consensus and Byzantine Fault Tolerance for Agents | Build | Python | complete |
| 16 | Voting, Self-Consistency, and Debate Topology | Build | Python | complete |
| 16 | Negotiation and Bargaining | Build | Python | complete |
| 16 | Generative Agents and Emergent Simulation | Build | Python | complete |
| 16 | Theory of Mind and Emergent Coordination | Build | Python | complete |
| 16 | Swarm Optimization for LLMs (PSO, ACO) | Build | Python | complete |
| 16 | MARL — MADDPG, QMIX, MAPPO | Learn | Python | complete |
| 16 | Agent Economies, Token Incentives, Reputation | Learn | Python | complete |
| 16 | Production Scaling — Queues, Checkpoints, Durability | Build | Python | complete |
| 16 | Failure Modes — MAST, Groupthink, Monoculture, Cascading Errors | Learn | Python | complete |
| 16 | Evaluation and Coordination Benchmarks | Learn | Python | complete |
| 16 | Case Studies and the 2026 State of the Art | Learn | Python | complete |
| 17 | Managed LLM Platforms — Bedrock, Vertex AI, Azure OpenAI | Learn | Python | complete |
| 17 | Inference Platform Economics — Fireworks, Together, Baseten, Modal, Replicate, Anyscale | Learn | Python | complete |
| 17 | GPU Autoscaling on Kubernetes — Karpenter, KAI Scheduler, Gang Scheduling | Learn | Python | complete |
| 17 | Serving Engine Internals — PagedAttention, Continuous Batching, Chunked Prefill | Learn | Python | complete |
| 17 | EAGLE-3 Speculative Decoding in Production | Learn | Python | complete |
| 17 | Prefix-Cache Serving — RadixAttention and KV Reuse | Learn | Python | complete |
| 17 | Hardware-Specialized Inference Compilation — FP8 and NVFP4 on Blackwell | Learn | Python | complete |
| 17 | Inference Metrics — TTFT, TPOT, ITL, Goodput, P99 | Learn | Python | complete |
| 17 | Production Quantization — AWQ, GPTQ, GGUF K-quants, FP8, MXFP4/NVFP4 | Learn | Python | complete |
| 17 | Cold Start Mitigation for Serverless LLMs | Learn | Python | complete |
| 17 | Multi-Region LLM Serving and KV Cache Locality | Learn | Python | complete |
| 17 | Edge Inference — Apple Neural Engine, Qualcomm Hexagon, WebGPU/WebLLM, Jetson | Learn | Python | complete |
| 17 | LLM Observability Stack Selection | Learn | Python | complete |
| 17 | Prompt Caching and Semantic Caching Economics | Learn | Python | complete |
| 17 | Batch APIs — the 50% Discount as Industry Standard | Learn | Python | complete |
| 17 | Model Routing as a Cost-Reduction Primitive | Learn | Python | complete |
| 17 | Disaggregated Prefill/Decode — NVIDIA Dynamo and llm-d | Learn | Python | complete |
| 17 | Production Serving Stack — KV Offloading and Cache-Aware Routing | Learn | Python | complete |
| 17 | AI Gateways — LiteLLM, Portkey, Kong AI Gateway, Bifrost | Learn | Python | complete |
| 17 | Shadow Traffic, Canary Rollout, and Progressive Deployment for LLMs | Learn | Python | complete |
| 17 | A/B Testing LLM Features — GrowthBook, Statsig, and the Vibes Problem | Learn | Python | complete |
| 17 | Load Testing LLM APIs — Why k6 and Locust Lie | Build | Python | complete |
| 17 | SRE for AI — Multi-Agent Incident Response, Runbooks, Predictive Detection | Learn | Python | complete |
| 17 | Chaos Engineering for LLM Production | Learn | Python | complete |
| 17 | Security — Secrets, API Key Rotation, Audit Logs, Guardrails | Learn | Python | complete |
| 17 | Compliance — SOC 2, HIPAA, GDPR, PCI-DSS, EU AI Act, ISO 42001 | Learn | Python | complete |
| 17 | FinOps for LLMs — Unit Economics and Multi-Tenant Attribution | Learn | Python | complete |
| 17 | Self-Hosted Serving Selection — Matching Engine to Hardware and Scale | Learn | Python | complete |
| 18 | Instruction-Following as Alignment Signal | Learn | Python | complete |
| 18 | Reward Hacking and Goodhart's Law | Learn | Python | complete |
| 18 | The Direct Preference Optimization Family | Learn | Python | complete |
| 18 | Sycophancy as RLHF Amplification | Learn | Python | complete |
| 18 | Constitutional AI and RLAIF | Learn | Python | complete |
| 18 | Mesa-Optimization and Deceptive Alignment | Learn | Python | complete |
| 18 | Sleeper Agents — Persistent Deception | Learn | Python | complete |
| 18 | In-Context Scheming in Frontier Models | Learn | Python | complete |
| 18 | Alignment Faking | Learn | Python | complete |
| 18 | AI Control — Safety Despite Subversion | Learn | Python | complete |
| 18 | Scalable Oversight and Weak-to-Strong Generalization | Learn | Python | complete |
| 18 | Red-Teaming: PAIR and Automated Attacks | Build | Python | complete |
| 18 | Many-Shot Jailbreaking | Learn | Python | complete |
| 18 | ASCII Art and Visual Jailbreaks | Build | Python | complete |
| 18 | Indirect Prompt Injection — Production Attack Surface | Build | Python | complete |
| 18 | Red-Team Tooling — Garak, Llama Guard, PyRIT | Build | Python | complete |
| 18 | WMDP and Dual-Use Capability Evaluation | Learn | Python | complete |
| 18 | Frontier Safety Frameworks — RSP, PF, FSF | Learn | Python | complete |
| 18 | Anthropic's Model Welfare Program | Learn | Python | complete |
| 18 | Bias and Representational Harm in LLMs | Build | Python | complete |
| 18 | Fairness Criteria — Group, Individual, Counterfactual | Learn | Python | complete |
| 18 | Differential Privacy for LLMs | Build | Python | complete |
| 18 | Watermarking — SynthID, Stable Signature, C2PA | Build | Python | complete |
| 18 | Regulatory Frameworks — EU, US, UK, Korea | Learn | Python | complete |
| 18 | EchoLeak and the Emergence of CVEs for AI | Learn | Python | complete |
| 18 | Model, System, and Dataset Cards | Build | Python | complete |
| 18 | Data Provenance and Training-Data Governance | Learn | Python | complete |
| 18 | Alignment Research Ecosystem — MATS, Redwood, Apollo, METR | Learn | Python | complete |
| 18 | Moderation Systems — OpenAI, Perspective, Llama Guard | Build | Python | complete |
| 18 | Dual-Use Risk — Cyber, Bio, Chem, Nuclear Uplift | Learn | Python | complete |
| 19 | Capstone 01 — Terminal-Native Coding Agent | Capstone | Python | complete |
| 19 | Capstone 02 — RAG over Codebase (Cross-Repo Semantic Search) | Capstone | Python | complete |
| 19 | Capstone 03 — Real-Time Voice Assistant (ASR to LLM to TTS) | Capstone | Python | complete |
| 19 | Capstone 04 — Multimodal Document QA (Vision-First PDF, Tables, Charts) | Capstone | Python | complete |
| 19 | Capstone 05 — Autonomous Research Agent (AI-Scientist Class) | Capstone | Python | complete |
| 19 | Capstone 06 — DevOps Troubleshooting Agent for Kubernetes | Capstone | Python | complete |
| 19 | Capstone 07 — End-to-End Fine-Tuning Pipeline (Data to SFT to DPO to Serve) | Capstone | Python | complete |
| 19 | Capstone 08 — Production RAG Chatbot for a Regulated Vertical | Capstone | Python | complete |
| 19 | Capstone 09 — Code Migration Agent (Repo-Level Language / Runtime Upgrade) | Capstone | Python | complete |
| 19 | Capstone 10 — Multi-Agent Software Engineering Team | Capstone | Python | complete |
| 19 | Capstone 11 — LLM Observability & Eval Dashboard | Capstone | Python | complete |
| 19 | Capstone 12 — Video Understanding Pipeline (Scene, QA, Search) | Capstone | Python | complete |
| 19 | Capstone 13: Stateless MCP Server with Registry and Governance | Capstone | Python | complete |
| 19 | Capstone 14 — Speculative-Decoding Inference Server | Capstone | Python | complete |
| 19 | Capstone 15 — Constitutional Safety Harness + Red-Team Range | Capstone | Python | complete |
| 19 | Capstone 16 — GitHub Issue-to-PR Autonomous Agent | Capstone | Python | complete |
| 19 | Capstone 17 — Personal AI Tutor (Adaptive, Multimodal, with Memory) | Capstone | Python | complete |
| 19 | Agent Harness Loop Contract | Capstone | Python | complete |
| 19 | Tool Registry with Schema Validation | Capstone | Python | complete |
| 19 | JSON-RPC 2.0 Over Newline-Delimited Stdio | Capstone | Python | complete |
| 19 | Function Call Dispatcher | Capstone | Python | complete |
| 19 | Plan-Execute Control Flow | Capstone | Python | complete |
| 19 | Capstone Lesson 25: Verification Gates and the Observation Budget | Capstone | Python | complete |
| 19 | Capstone Lesson 26: Sandbox Runner with Denylist and Path Jail | Capstone | Python | complete |
| 19 | Capstone Lesson 27: Eval Harness with Fixture Tasks | Capstone | Python | complete |
| 19 | Capstone Lesson 28: Observability with OTel GenAI Spans and Prometheus Metrics | Capstone | Python | complete |
| 19 | Capstone Lesson 29: End-to-End Coding Agent on the Harness | Capstone | Python | complete |
| 19 | BPE Tokenizer From Scratch | Capstone | Python | complete |
| 19 | Tokenized Dataset with Sliding Window | Capstone | Python | complete |
| 19 | Token and Positional Embeddings | Capstone | Python | complete |
| 19 | Multi-Head Self-Attention | Capstone | Python | complete |
| 19 | Transformer Block from Scratch | Capstone | Python | complete |
| 19 | GPT Model Assembly | Capstone | Python | complete |
| 19 | Training Loop and Evaluation | Capstone | Python | complete |
| 19 | Loading Pretrained Weights | Capstone | Python | complete |
| 19 | Capstone Lesson 38: Classifier Fine-Tuning by Head Swap | Capstone | Python | complete |
| 19 | Capstone Lesson 39: Instruction Tuning by Supervised Fine-Tuning | Capstone | Python | complete |
| 19 | Capstone Lesson 40: Direct Preference Optimization from Scratch | Capstone | Python | complete |
| 19 | Capstone Lesson 41: Full Evaluation Pipeline | Capstone | Python | complete |
| 19 | Large Corpus Downloader | Capstone | Python | complete |
| 19 | HDF5 Tokenized Corpus | Capstone | Python | complete |
| 19 | Cosine LR with Linear Warmup | Capstone | Python | complete |
| 19 | Gradient Clipping and Mixed Precision | Capstone | Python | complete |
| 19 | Gradient Accumulation | Capstone | Python | complete |
| 19 | Checkpoint Save and Resume | Capstone | Python | complete |
| 19 | Distributed Data Parallel and FSDP from Scratch | Capstone | Python | complete |
| 19 | Language Model Evaluation Harness | Capstone | Python | complete |
| 19 | Hypothesis Generator | Capstone | Python | complete |
| 19 | Literature Retrieval | Capstone | Python | complete |
| 19 | Experiment Runner | Capstone | Python | complete |
| 19 | Result Evaluator | Capstone | Python | complete |
| 19 | Paper Writer | Capstone | Python | complete |
| 19 | Critic Loop | Capstone | Python | complete |
| 19 | Iteration Scheduler | Capstone | Python | complete |
| 19 | End-to-End Research Demo | Capstone | Python | complete |
| 19 | Vision Encoder Patches | Capstone | Python | complete |
| 19 | Vision Transformer Encoder | Capstone | Python | complete |
| 19 | Projection Layer for Modality Alignment | Capstone | Python | complete |
| 19 | Cross-Attention Fusion | Capstone | Python | complete |
| 19 | Vision-Language Pretraining | Capstone | Python | complete |
| 19 | Multimodal Evaluation | Capstone | Python | complete |
| 19 | Chunking Strategies, Compared | Capstone | Python | complete |
| 19 | Hybrid Retrieval with BM25 and Dense Embeddings | Capstone | Python | complete |
| 19 | Cross-Encoder Reranker | Capstone | Python | complete |
| 19 | Query Rewriting: HyDE, Multi-Query, and Decomposition | Capstone | Python | complete |
| 19 | RAG Evaluation: Precision, Recall, MRR, nDCG, Faithfulness, Answer Relevance | Capstone | Python | complete |
| 19 | End-to-End RAG System | Capstone | Python | complete |
| 19 | Task Spec Format | Capstone | Python | complete |
| 19 | Classical Metrics | Capstone | Python | complete |
| 19 | Code Exec Metric | Capstone | Python | complete |
| 19 | Perplexity and Calibration | Capstone | Python | complete |
| 19 | Leaderboard Aggregation | Capstone | Python | complete |
| 19 | End-to-End Eval Runner | Capstone | Python | complete |
| 19 | Collective Ops From Scratch | Capstone | Python | complete |
| 19 | Data Parallel DDP From Scratch | Capstone | Python | complete |
| 19 | ZeRO Optimizer State Sharding | Capstone | Python | complete |
| 19 | Pipeline Parallel and Bubble Analysis | Capstone | Python | complete |
| 19 | Sharded Checkpoint and Atomic Resume | Capstone | Python | complete |
| 19 | End-to-End Distributed Training | Capstone | Python | complete |
| 19 | Capstone 82 — Jailbreak Taxonomy | Capstone | Python | complete |
| 19 | Capstone 83 — Prompt Injection Detector | Capstone | Python | complete |
| 19 | Capstone 84 — Refusal Evaluation | Capstone | Python | complete |
| 19 | Capstone 85 — Content Classifier Integration | Capstone | Python | complete |
| 19 | Capstone 86 — Constitutional Rules Engine | Capstone | Python, YAML | complete |
| 19 | Capstone 87 — End-to-End Safety Gate | Capstone | Python | complete |