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rohitg00/ai-engineering-from-scratch

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★ 47.1k

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⑂ 8.3k

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Python

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AI Tools

License

MIT

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15d ago

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Top 21 contributors to rohitg00/ai-engineering-from-scratch

Skill	What it does
`/start-learning`	One-time onboarding: why you're learning, placement quiz, personalized plan saved to `LEARNING.md`.
`/learn`	The tutor loop. Warm-up recall, then the next lesson taught interactively, then its quiz; records progress and a review queue.
`/course-guide`	Topic router. "Where do I learn attention?" or "my loss is NaN" → the exact lessons, with links.
`/claude-certification`	Certification tutor. Chooses CCAO-F, CCDV-F, CCAR-F, or CCAR-P; teaches each lesson; runs labs; reviews artifacts; administers diagnostics and mocks; saves progress.
`/find-your-level`	Ten-question placement quiz. Maps your knowledge to a starting phase and produces a personalized path with hour estimates.
`/check-understanding <phase>`	Per-phase quiz, eight questions, with feedback and specific lessons to review.

Vol	Title	Phases	Download
1	Foundations · Math, Tooling, and Classical Machine Learning	00-02	EPUB · PDF
2	Deep Learning · Networks, Vision, and Speech	03, 04, 06	EPUB · PDF
3	Language · NLP Foundations and the Transformer	05, 07	EPUB · PDF
4	Large Language Models · Generation, Reinforcement, Pretraining, and Engineering	08-11	EPUB · PDF
5	Agents · Multimodality, Protocols, Autonomy, and Swarms	12-16	EPUB · PDF
6	Production · Infrastructure, Safety, and Capstones	17-19	EPUB · PDF

_{FIG_001 · A} PROMPTS	_{FIG_001 · B} SKILLS	_{FIG_001 · C} AGENTS	_{FIG_001 · D} MCP SERVERS
Paste into any AI assistant for expert-level help on a narrow task.	Drop into Claude, Cursor, Codex, OpenClaw, Hermes, or any agent that reads `SKILL.md`.	Deploy as autonomous workers — you wrote the loop yourself in Phase 14.	Plug into any MCP-compatible client. Built end-to-end in Phase 13.

#	Lesson	Type	Lang
01	Dev Environment	Build	Python
02	Git & Collaboration	Learn	—
03	GPU Setup & Cloud	Build	Python
04	APIs & Keys	Build	Python
05	Jupyter Notebooks	Build	Python
06	Python Environments	Build	Shell
07	Docker for AI	Build	Docker
08	Editor Setup	Build	—
09	Data Management	Build	Python
10	Terminal & Shell	Learn	—
11	Linux for AI	Learn	—
12	Debugging & Profiling	Build	Python

#	Lesson	Type	Lang
01	Linear Algebra Intuition	Learn	Python, Julia
02	Vectors, Matrices & Operations	Build	Python, Julia
03	Matrix Transformations & Eigenvalues	Build	Python, Julia
04	Calculus for ML: Derivatives & Gradients	Learn	Python
05	Chain Rule & Automatic Differentiation	Build	Python
06	Probability & Distributions	Learn	Python
07	Bayes' Theorem & Statistical Thinking	Build	Python
08	Optimization: Gradient Descent Family	Build	Python
09	Information Theory: Entropy, KL Divergence	Learn	Python
10	Dimensionality Reduction: PCA, t-SNE, UMAP	Build	Python
11	Singular Value Decomposition	Build	Python, Julia
12	Tensor Operations	Build	Python
13	Numerical Stability	Build	Python
14	Norms & Distances	Build	Python
15	Statistics for ML	Build	Python
16	Sampling Methods	Build	Python
17	Linear Systems	Build	Python
18	Convex Optimization	Build	Python
19	Complex Numbers for AI	Learn	Python
20	The Fourier Transform	Build	Python
21	Graph Theory for ML	Build	Python
22	Stochastic Processes	Learn	Python

#	Lesson	Type	Lang
01	What Is Machine Learning	Learn	Python
02	Linear Regression from Scratch	Build	Python
03	Logistic Regression & Classification	Build	Python
04	Decision Trees & Random Forests	Build	Python
05	Support Vector Machines	Build	Python
06	KNN & Distance Metrics	Build	Python
07	Unsupervised Learning: K-Means, DBSCAN	Build	Python
08	Feature Engineering & Selection	Build	Python
09	Model Evaluation: Metrics, Cross-Validation	Build	Python
10	Bias, Variance & the Learning Curve	Learn	Python
11	Ensemble Methods: Boosting, Bagging, Stacking	Build	Python
12	Hyperparameter Tuning	Build	Python
13	ML Pipelines & Experiment Tracking	Build	Python
14	Naive Bayes	Build	Python
15	Time Series Fundamentals	Build	Python
16	Anomaly Detection	Build	Python
17	Handling Imbalanced Data	Build	Python
18	Feature Selection	Build	Python

#	Lesson	Type	Lang
01	The Perceptron: Where It All Started	Build	Python
02	Multi-Layer Networks & Forward Pass	Build	Python
03	Backpropagation from Scratch	Build	Python
04	Activation Functions: ReLU, Sigmoid, GELU & Why	Build	Python
05	Loss Functions: MSE, Cross-Entropy, Contrastive	Build	Python
06	Optimizers: SGD, Momentum, Adam, AdamW	Build	Python
07	Regularization: Dropout, Weight Decay, BatchNorm	Build	Python
08	Weight Initialization & Training Stability	Build	Python
09	Learning Rate Schedules & Warmup	Build	Python
10	Build Your Own Mini Framework	Build	Python
11	Introduction to PyTorch	Build	Python
12	Introduction to JAX	Build	Python
13	Debugging Neural Networks	Build	Python

#	Lesson	Type	Lang
01	Image Fundamentals: Pixels, Channels, Color Spaces	Learn	Python
02	Convolutions from Scratch	Build	Python
03	CNNs: LeNet to ResNet	Build	Python
04	Image Classification	Build	Python
05	Transfer Learning & Fine-Tuning	Build	Python
06	Object Detection — YOLO from Scratch	Build	Python
07	Semantic Segmentation — U-Net	Build	Python
08	Instance Segmentation — Mask R-CNN	Build	Python
09	Image Generation — GANs	Build	Python
10	Image Generation — Diffusion Models	Build	Python
11	Stable Diffusion — Architecture & Fine-Tuning	Build	Python
12	Video Understanding — Temporal Modeling	Build	Python
13	3D Vision: Point Clouds, NeRFs	Build	Python
14	Vision Transformers (ViT)	Build	Python
15	Real-Time Vision: Edge Deployment	Build	Python
16	Build a Complete Vision Pipeline	Build	Python
17	Self-Supervised Vision — SimCLR, DINO, MAE	Build	Python
18	Open-Vocabulary Vision — CLIP	Build	Python
19	OCR & Document Understanding	Build	Python
20	Image Retrieval & Metric Learning	Build	Python
21	Keypoint Detection & Pose Estimation	Build	Python
22	3D Gaussian Splatting from Scratch	Build	Python
23	Diffusion Transformers & Rectified Flow	Build	Python
24	SAM 3 & Open-Vocabulary Segmentation	Build	Python
25	Vision-Language Models (ViT-MLP-LLM)	Build	Python
26	Monocular Depth & Geometry Estimation	Build	Python
27	Multi-Object Tracking & Video Memory	Build	Python
28	World Models & Video Diffusion	Build	Python

#	Lesson	Type	Lang
01	Text Processing: Tokenization, Stemming, Lemmatization	Build	Python
02	Bag of Words, TF-IDF & Text Representation	Build	Python
03	Word Embeddings: Word2Vec from Scratch	Build	Python
04	GloVe, FastText & Subword Embeddings	Build	Python
05	Sentiment Analysis	Build	Python
06	Named Entity Recognition (NER)	Build	Python
07	POS Tagging & Syntactic Parsing	Build	Python
08	Text Classification — CNNs & RNNs for Text	Build	Python
09	Sequence-to-Sequence Models	Build	Python
10	Attention Mechanism — The Breakthrough	Build	Python
11	Machine Translation	Build	Python
12	Text Summarization	Build	Python
13	Question Answering Systems	Build	Python
14	Information Retrieval & Search	Build	Python
15	Topic Modeling: LDA, BERTopic	Build	Python
16	Text Generation	Build	Python
17	Chatbots: Rule-Based to Neural	Build	Python
18	Multilingual NLP	Build	Python
19	Subword Tokenization: BPE, WordPiece, Unigram, SentencePiece	Learn	Python
20	Structured Outputs & Constrained Decoding	Build	Python
21	NLI & Textual Entailment	Learn	Python
22	Embedding Models Deep Dive	Learn	Python
23	Chunking Strategies for RAG	Build	Python
24	Coreference Resolution	Learn	Python
25	Entity Linking & Disambiguation	Build	Python
26	Relation Extraction & Knowledge Graph Construction	Build	Python
27	LLM Evaluation: RAGAS, DeepEval, G-Eval	Build	Python
28	Long-Context Evaluation: NIAH, RULER, LongBench, MRCR	Learn	Python
29	Dialogue State Tracking	Build	Python

#	Lesson	Type	Lang
01	Audio Fundamentals: Waveforms, Sampling, FFT	Learn	Python
02	Spectrograms, Mel Scale & Audio Features	Build	Python
03	Audio Classification	Build	Python
04	Speech Recognition (ASR)	Build	Python
05	Whisper: Architecture & Fine-Tuning	Build	Python
06	Speaker Recognition & Verification	Build	Python
07	Text-to-Speech (TTS)	Build	Python
08	Voice Cloning & Voice Conversion	Build	Python
09	Music Generation	Build	Python
10	Audio-Language Models	Build	Python
11	Real-Time Audio Processing	Build	Python
12	Build a Voice Assistant Pipeline	Build	Python
13	Neural Audio Codecs — EnCodec, SNAC, Mimi, DAC	Learn	Python
14	Voice Activity Detection & Turn-Taking	Build	Python
15	Streaming Speech-to-Speech — Moshi, Hibiki	Learn	Python
16	Voice Anti-Spoofing & Audio Watermarking	Build	Python
17	Audio Evaluation — WER, MOS, MMAU, Leaderboards	Learn	Python

#	Lesson	Type	Lang
01	Why Transformers: The Problems with RNNs	Learn	Python
02	Self-Attention from Scratch	Build	Python
03	Multi-Head Attention	Build	Python
04	Positional Encoding: Sinusoidal, RoPE, ALiBi	Build	Python
05	The Full Transformer: Encoder + Decoder	Build	Python
06	BERT — Masked Language Modeling	Build	Python
07	GPT — Causal Language Modeling	Build	Python
08	T5, BART — Encoder-Decoder Models	Learn	Python
09	Vision Transformers (ViT)	Build	Python
10	Audio Transformers — Whisper Architecture	Learn	Python
11	Mixture of Experts (MoE)	Build	Python
12	KV Cache, Flash Attention & Inference Optimization	Build	Python
13	Scaling Laws	Learn	Python
14	Build a Transformer from Scratch	Build	Python
15	Attention Variants — Sliding Window, Sparse, Differential	Build	Python
16	Speculative Decoding — Draft, Verify, Repeat	Build	Python

#	Lesson	Type	Lang
01	Generative Models: Taxonomy & History	Learn	Python
02	Autoencoders & VAE	Build	Python
03	GANs: Generator vs Discriminator	Build	Python
04	Conditional GANs & Pix2Pix	Build	Python
05	StyleGAN	Build	Python
06	Diffusion Models — DDPM from Scratch	Build	Python
07	Latent Diffusion & Stable Diffusion	Build	Python
08	ControlNet, LoRA & Conditioning	Build	Python
09	Inpainting, Outpainting & Editing	Build	Python
10	Video Generation	Build	Python
11	Audio Generation	Build	Python
12	3D Generation	Build	Python
13	Flow Matching & Rectified Flows	Build	Python
14	Evaluation: FID, CLIP Score	Build	Python
19	Visual Autoregressive Modeling (VAR): Next-Scale Prediction	Build	Python

#	Lesson	Type	Lang
01	MDPs, States, Actions & Rewards	Learn	Python
02	Dynamic Programming	Build	Python
03	Monte Carlo Methods	Build	Python
04	Q-Learning, SARSA	Build	Python
05	Deep Q-Networks (DQN)	Build	Python
06	Policy Gradients — REINFORCE	Build	Python
07	Actor-Critic — A2C, A3C	Build	Python
08	PPO	Build	Python
09	Reward Modeling & RLHF	Build	Python
10	Multi-Agent RL	Build	Python
11	Sim-to-Real Transfer	Build	Python
12	RL for Games	Build	Python

#	Lesson	Type	Lang
01	Tokenizers: BPE, WordPiece, SentencePiece	Build	Python, Rust
02	Building a Tokenizer from Scratch	Build	Python
03	Data Pipelines for Pre-Training	Build	Python
04	Pre-Training a Mini GPT (124M)	Build	Python
05	Distributed Training, FSDP, DeepSpeed	Build	Python
06	Instruction Tuning — SFT	Build	Python
07	RLHF — Reward Model + PPO	Build	Python
08	DPO — Direct Preference Optimization	Build	Python
09	Constitutional AI & Self-Improvement	Build	Python
10	Evaluation — Benchmarks, Evals	Build	Python
11	Quantization: INT8, GPTQ, AWQ, GGUF	Build	Python
12	Inference Optimization	Build	Python
13	Building a Complete LLM Pipeline	Build	Python
14	Open Models: Architecture Walkthroughs	Learn	Python
15	Speculative Decoding and EAGLE-3	Build	Python
16	Differential Attention (V2)	Build	Python
17	Native Sparse Attention (DeepSeek NSA)	Build	Python
18	Multi-Token Prediction (MTP)	Build	Python
19	DualPipe Parallelism	Learn	Python
20	DeepSeek-V3 Architecture Walkthrough	Learn	Python
21	Jamba — Hybrid SSM-Transformer	Learn	Python
22	Async and Hogwild! Inference	Build	Python
25	Speculative Decoding and EAGLE	Build	Python
34	Gradient Checkpointing and Activation Recomputation	Build	Python

#	Lesson	Type	Lang
01	Prompt Engineering: Techniques & Patterns	Build	Python
02	Few-Shot, CoT, Tree-of-Thought	Build	Python
03	Structured Outputs	Build	Python
04	Embeddings & Vector Representations	Build	Python
05	Context Engineering	Build	Python
06	RAG: Retrieval-Augmented Generation	Build	Python
07	Advanced RAG: Chunking, Reranking	Build	Python
08	Fine-Tuning with LoRA & QLoRA	Build	Python
09	Function Calling & Tool Use	Build	Python
10	Evaluation & Testing	Build	Python
11	Caching, Rate Limiting & Cost	Build	Python
12	Guardrails & Safety	Build	Python
13	Building a Production LLM App	Build	Python
14	Model Context Protocol (MCP)	Build	Python
15	Prompt Caching & Context Caching	Build	Python
16	Agent State Machines — Graphs, Nodes, Checkpoints	Build	Python
17	Agent Framework Tradeoffs	Learn	Python

#	Lesson	Type	Lang
01	Vision Transformers and the Patch-Token Primitive	Learn	Python
02	CLIP and Contrastive Vision-Language Pretraining	Build	Python
03	BLIP-2 Q-Former as Modality Bridge	Build	Python
04	Flamingo and Gated Cross-Attention	Learn	Python
05	LLaVA and Visual Instruction Tuning	Build	Python
06	Any-Resolution Vision — Patch-n'-Pack and NaFlex	Build	Python
07	Open-Weight VLM Recipes: What Actually Matters	Learn	Python
08	LLaVA-OneVision: Single, Multi, Video	Build	Python
09	Qwen-VL Family and Dynamic-FPS Video	Learn	Python
10	InternVL3 Native Multimodal Pretraining	Learn	Python
11	Chameleon Early-Fusion Token-Only	Build	Python
12	Emu3 Next-Token Prediction for Generation	Learn	Python
13	Transfusion Autoregressive + Diffusion	Build	Python
14	Show-o Discrete-Diffusion Unified	Learn	Python
15	Janus-Pro Decoupled Encoders	Build	Python
16	MIO Any-to-Any Streaming	Learn	Python
17	Video-Language Temporal Grounding	Build	Python
18	Long-Video at Million-Token Context	Build	Python
19	Audio-Language Models: Whisper to AF3	Build	Python
20	Omni Models: Thinker-Talker Streaming	Build	Python
21	Embodied VLAs: RT-2, OpenVLA, π0, GR00T	Learn	Python
22	Document and Diagram Understanding	Build	Python
23	ColPali Vision-Native Document RAG	Build	Python
24	Multimodal RAG and Cross-Modal Retrieval	Build	Python
25	Multimodal Agents and Computer-Use (Capstone)	Build	Python

#	Lesson	Type	Lang
01	The Tool Interface	Learn	Python
02	Function Calling Deep Dive	Build	Python
03	Parallel and Streaming Tool Calls	Build	Python
04	Structured Output	Build	Python
05	Tool Schema Design	Learn	Python
06	MCP Fundamentals	Learn	Python
07	Building an MCP Server	Build	Python
08	Building an MCP Client	Build	Python
09	MCP Transports	Learn	Python
10	MCP Resources and Prompts	Build	Python
11	MCP Sampling	Build	Python
12	MCP Roots and Elicitation	Build	Python
13	MCP Async Tasks	Build	Python
14	MCP Apps	Build	Python
15	MCP Security I — Tool Poisoning	Learn	Python
16	MCP Security II — OAuth 2.1	Build	Python
17	MCP Gateways and Registries	Learn	Python
18	MCP Auth in Production — Enrollment, JWKS Refresh, Audience Pinning	Build	Python
19	A2A Protocol	Build	Python
20	OpenTelemetry GenAI	Build	Python
21	LLM Routing Layer	Learn	Python
22	Skills and Agent SDKs	Learn	Python
23	Capstone — Tool Ecosystem	Build	Python

#	Lesson	Type	Lang
01	The Agent Loop	Build	Python
02	ReWOO and Plan-and-Execute	Build	Python
03	Reflexion and Verbal Reinforcement Learning	Build	Python
04	Tree of Thoughts and LATS	Build	Python
05	Self-Refine and CRITIC	Build	Python
06	Tool Use and Function Calling	Build	Python
07	Agent Memory — Virtual Context and Memory Paging	Build	Python
08	Memory Blocks and Sleep-Time Compute	Build	Python
09	Hybrid Memory — Vector + Graph + KV	Build	Python
10	Skill Libraries and Lifelong Learning (Voyager)	Build	Python
11	Planning with HTN and Evolutionary Search	Build	Python
12	Anthropic's Workflow Patterns	Build	Python
13	Stateful Graph Orchestration — Durable Execution and Checkpoints	Build	Python
14	The Actor Model for Agents	Build	Python
15	Role-Based Agent Teams — Roles, Tasks, Processes	Build	Python
16	OpenAI Agents SDK — Handoffs, Guardrails, Tracing	Build	Python
17	The Harness as a Library — Subagents and Session Store	Build	Python
18	Production Agent Runtimes	Learn	Python
19	Benchmarks — SWE-bench, GAIA, AgentBench	Learn	Python
20	Benchmarks — WebArena and OSWorld	Learn	Python
21	Computer Use — Claude, OpenAI CUA, Gemini	Build	Python
22	Voice Agents — Pipecat and LiveKit	Build	Python
23	OpenTelemetry GenAI Semantic Conventions	Build	Python
24	Agent Observability — Langfuse, Phoenix, Opik	Learn	Python
25	Multi-Agent Debate and Collaboration	Build	Python
26	Failure Modes — Why Agents Break	Build	Python
27	Prompt Injection and the PVE Defense	Build	Python
28	Orchestration Patterns — Supervisor, Swarm, Hierarchical	Build	Python
29	Production Runtimes — Queue, Event, Cron	Learn	Python
30	Eval-Driven Agent Development	Build	Python
31	Agent Workbench: Why Capable Models Still Fail	Learn	Python
32	The Minimal Agent Workbench	Build	Python
33	Agent Instructions as Executable Constraints	Build	Python
34	Repo Memory and Durable State	Build	Python
35	Initialization Scripts for Agents	Build	Python
36	Scope Contracts and Task Boundaries	Build	Python
37	Runtime Feedback Loops	Build	Python
38	Verification Gates	Build	Python
39	Reviewer Agent: Separate Builder from Marker	Build	Python
40	Multi-Session Handoff	Build	Python
41	The Workbench on a Real Repo	Build	Python
42	Capstone: Ship a Reusable Agent Workbench Pack	Build	Python

#	Lesson	Type	Lang
01	From Chatbots to Long-Horizon Agents (METR)	Learn	Python
02	STaR, V-STaR, Quiet-STaR: Self-Taught Reasoning	Learn	Python
03	AlphaEvolve: Evolutionary Coding Agents	Learn	Python
04	Darwin Gödel Machine: Self-Modifying Agents	Learn	Python
05	AI Scientist v2: Workshop-Level Research	Learn	Python
06	Automated Alignment Research (Anthropic AAR)	Learn	Python
07	Recursive Self-Improvement: Capability vs Alignment	Learn	Python
08	Bounded Self-Improvement Designs	Learn	Python
09	Autonomous Coding Agent Landscape (SWE-bench, CodeAct)	Learn	Python
10	Permission Modes for Autonomous Agents	Learn	Python
11	Browser Agents and Indirect Prompt Injection	Learn	Python
12	Durable Execution for Long-Running Agents	Learn	Python
13	Action Budgets, Iteration Caps, Cost Governors	Learn	Python
14	Kill Switches, Circuit Breakers, Canary Tokens	Learn	Python
15	HITL: Propose-Then-Commit	Learn	Python
16	Checkpoints and Rollback	Learn	Python
17	Constitutional AI and Rule Overrides	Learn	Python
18	Llama Guard and Input/Output Classification	Learn	Python
19	Anthropic Responsible Scaling Policy v3.0	Learn	Python
20	OpenAI Preparedness Framework and DeepMind FSF	Learn	Python
21	METR Time Horizons and External Evaluation	Learn	Python
22	CAIS, CAISI, and Societal-Scale Risk	Learn	Python

#	Lesson	Type	Lang
01	Why Multi-Agent	Learn	TypeScript
02	FIPA-ACL Heritage and Speech Acts	Learn	Python
03	Communication Protocols	Build	TypeScript
04	The Multi-Agent Primitive Model	Learn	Python
05	Supervisor / Orchestrator-Worker Pattern	Build	Python
06	Hierarchical Architecture and Decomposition Drift	Learn	Python
07	Society of Mind and Multi-Agent Debate	Build	Python
08	Role Specialization — Planner / Critic / Executor / Verifier	Build	Python
09	Parallel Swarm and Networked Architectures	Build	Python
10	Group Chat and Speaker Selection	Build	Python
11	Handoffs and Routines (Stateless Orchestration)	Build	Python
12	A2A — The Agent-to-Agent Protocol	Build	Python
13	Shared Memory and Blackboard Patterns	Build	Python
14	Consensus and Byzantine Fault Tolerance	Build	Python
15	Voting, Self-Consistency, and Debate Topology	Build	Python
16	Negotiation and Bargaining	Build	Python
17	Generative Agents and Emergent Simulation	Build	Python
18	Theory of Mind and Emergent Coordination	Build	Python
19	Swarm Optimization (PSO, ACO)	Build	Python
20	MARL — MADDPG, QMIX, MAPPO	Learn	Python
21	Agent Economies, Token Incentives, Reputation	Learn	Python
22	Production Scaling — Queues, Checkpoints, Durability	Build	Python
23	Failure Modes — MAST, Groupthink, Monoculture	Learn	Python
24	Evaluation and Coordination Benchmarks	Learn	Python
25	Case Studies and 2026 State of the Art	Learn	Python

#	Lesson	Type	Lang
01	Managed LLM Platforms — Bedrock, Azure OpenAI, Vertex AI	Learn	Python
02	Inference Platform Economics — Fireworks, Together, Baseten, Modal	Learn	Python
03	GPU Autoscaling on Kubernetes — Karpenter, KAI Scheduler	Learn	Python
04	Serving Engine Internals — PagedAttention, Continuous Batching, Chunked Prefill	Learn	Python
05	EAGLE-3 Speculative Decoding in Production	Learn	Python
06	Prefix-Cache Serving — RadixAttention and KV Reuse	Learn	Python
07	Hardware-Specialized Inference Compilation — FP8 and NVFP4 on Blackwell	Learn	Python
08	Inference Metrics — TTFT, TPOT, ITL, Goodput, P99	Learn	Python
09	Production Quantization — AWQ, GPTQ, GGUF, FP8, NVFP4	Learn	Python
10	Cold Start Mitigation for Serverless LLMs	Learn	Python
11	Multi-Region LLM Serving and KV Cache Locality	Learn	Python
12	Edge Inference — ANE, Hexagon, WebGPU, Jetson	Learn	Python
13	LLM Observability Stack Selection	Learn	Python
14	Prompt Caching and Semantic Caching Economics	Learn	Python
15	Batch APIs — the 50% Discount as Industry Standard	Learn	Python
16	Model Routing as a Cost-Reduction Primitive	Learn	Python
17	Disaggregated Prefill/Decode — NVIDIA Dynamo and llm-d	Learn	Python
18	Production Serving Stack — KV Offloading and Cache-Aware Routing	Learn	Python
19	AI Gateways — LiteLLM, Portkey, Kong, Bifrost	Learn	Python
20	Shadow, Canary, and Progressive Deployment	Learn	Python
21	A/B Testing LLM Features — GrowthBook and Statsig	Learn	Python
22	Load Testing LLM APIs — k6, LLMPerf, GenAI-Perf	Build	Python
23	SRE for AI — Multi-Agent Incident Response	Learn	Python
24	Chaos Engineering for LLM Production	Learn	Python
25	Security — Secrets, PII Scrubbing, Audit Logs	Learn	Python
26	Compliance — SOC 2, HIPAA, GDPR, EU AI Act, ISO 42001	Learn	Python
27	FinOps for LLMs — Unit Economics and Multi-Tenant Attribution	Learn	Python
28	Self-Hosted Serving Selection — Matching Engine to Hardware and Scale	Learn	Python

#	Lesson	Type	Lang
01	Instruction-Following as Alignment Signal	Learn	Python
02	Reward Hacking & Goodhart's Law	Learn	Python
03	Direct Preference Optimization Family	Learn	Python
04	Sycophancy as RLHF Amplification	Learn	Python
05	Constitutional AI & RLAIF	Learn	Python
06	Mesa-Optimization & Deceptive Alignment	Learn	Python
07	Sleeper Agents — Persistent Deception	Learn	Python
08	In-Context Scheming in Frontier Models	Learn	Python
09	Alignment Faking	Learn	Python
10	AI Control — Safety Despite Subversion	Learn	Python
11	Scalable Oversight & Weak-to-Strong	Learn	Python
12	Red-Teaming: PAIR & Automated Attacks	Build	Python
13	Many-Shot Jailbreaking	Learn	Python
14	ASCII Art & Visual Jailbreaks	Build	Python
15	Indirect Prompt Injection	Build	Python
16	Red-Team Tooling: Garak, Llama Guard, PyRIT	Build	Python
17	WMDP & Dual-Use Capability Evaluation	Learn	Python
18	Frontier Safety Frameworks — RSP, PF, FSF	Learn	Python
19	Model Welfare Research	Learn	Python
20	Bias & Representational Harm	Build	Python
21	Fairness Criteria: Group, Individual, Counterfactual	Learn	Python
22	Differential Privacy for LLMs	Build	Python
23	Watermarking: SynthID, Stable Signature, C2PA	Build	Python
24	Regulatory Frameworks: EU, US, UK, Korea	Learn	Python
25	EchoLeak & CVEs for AI	Learn	Python
26	Model, System & Dataset Cards	Build	Python
27	Data Provenance & Training-Data Governance	Learn	Python
28	Alignment Research Ecosystem: MATS, Redwood, Apollo, METR	Learn	Python
29	Moderation Systems: OpenAI, Perspective, Llama Guard	Build	Python
30	Dual-Use Risk: Cyber, Bio, Chem, Nuclear	Learn	Python

#	Project	Combines	Lang
01	Terminal-Native Coding Agent	P0 P5 P7 P10 P11 P13 P14 P15 P17 P18	Python
02	RAG over Codebase (Cross-Repo Semantic Search)	P5 P7 P11 P13 P17	Python
03	Real-Time Voice Assistant (ASR → LLM → TTS)	P6 P7 P11 P13 P14 P17	Python
04	Multimodal Document QA (Vision-First)	P4 P5 P7 P11 P12 P17	Python
05	Autonomous Research Agent (AI-Scientist Class)	P0 P2 P3 P7 P10 P14 P15 P16 P18	Python
06	DevOps Troubleshooting Agent for Kubernetes	P11 P13 P14 P15 P17 P18	Python
07	End-to-End Fine-Tuning Pipeline	P2 P3 P7 P10 P11 P17 P18	Python
08	Production RAG Chatbot (Regulated Vertical)	P5 P7 P11 P12 P17 P18	Python
09	Code Migration Agent (Repo-Level Upgrade)	P5 P7 P11 P13 P14 P15 P17	Python
10	Multi-Agent Software Engineering Team	P11 P13 P14 P15 P16 P17	Python
11	LLM Observability & Eval Dashboard	P11 P13 P17 P18	Python
12	Video Understanding Pipeline (Scene → QA)	P4 P6 P7 P11 P12 P17	Python
13	MCP Server with Registry and Governance	P11 P13 P14 P17 P18	Python
14	Speculative-Decoding Inference Server	P3 P7 P10 P17	Python
15	Constitutional Safety Harness + Red-Team Range	P10 P11 P13 P14 P18	Python
16	GitHub Issue-to-PR Autonomous Agent	P11 P13 P14 P15 P17	Python
17	Personal AI Tutor (Adaptive, Multimodal)	P5 P6 P11 P12 P14 P17 P18	Python

#	Project	Combines	Lang
20	Agent Harness Loop Contract	A. Agent harness	Python
21	Tool Registry with Schema Validation	A. Agent harness	Python
22	JSON-RPC 2.0 Over Newline-Delimited Stdio	A. Agent harness	Python
23	Function Call Dispatcher	A. Agent harness	Python
24	Plan-Execute Control Flow	A. Agent harness	Python
25	Verification Gates and Observation Budget	A. Agent harness	Python
26	Sandbox Runner with Denylist and Path Jail	A. Agent harness	Python
27	Eval Harness with Fixture Tasks	A. Agent harness	Python
28	Observability with OTel GenAI Spans and Prometheus Metrics	A. Agent harness	Python
29	End-to-End Coding Agent on the Harness	A. Agent harness	Python
30	BPE Tokenizer From Scratch	B. NLP LLM	Python
31	Tokenized Dataset with Sliding Window	B. NLP LLM	Python
32	Token and Positional Embeddings	B. NLP LLM	Python
33	Multi-Head Self-Attention	B. NLP LLM	Python
34	Transformer Block from Scratch	B. NLP LLM	Python
35	GPT Model Assembly	B. NLP LLM	Python
36	Training Loop and Evaluation	B. NLP LLM	Python
37	Loading Pretrained Weights	B. NLP LLM	Python
38	Classifier Fine-Tuning by Head Swap	B. NLP LLM	Python
39	Instruction Tuning by Supervised Fine-Tuning	B. NLP LLM	Python
40	Direct Preference Optimization from Scratch	B. NLP LLM	Python
41	Full Evaluation Pipeline	B. NLP LLM	Python
42	Large Corpus Downloader	C. Train end-to-end	Python
43	HDF5 Tokenized Corpus	C. Train end-to-end	Python
44	Cosine LR with Linear Warmup	C. Train end-to-end	Python
45	Gradient Clipping and Mixed Precision	C. Train end-to-end	Python
46	Gradient Accumulation	C. Train end-to-end	Python
47	Checkpoint Save and Resume	C. Train end-to-end	Python
48	Distributed Data Parallel and FSDP from Scratch	C. Train end-to-end	Python
49	Language Model Evaluation Harness	C. Train end-to-end	Python
50	Hypothesis Generator	D. Auto research	Python
51	Literature Retrieval	D. Auto research	Python
52	Experiment Runner	D. Auto research	Python
53	Result Evaluator	D. Auto research	Python
54	Paper Writer	D. Auto research	Python
55	Critic Loop	D. Auto research	Python
56	Iteration Scheduler	D. Auto research	Python
57	End-to-End Research Demo	D. Auto research	Python
58	Vision Encoder Patches	E. Multimodal VLM	Python
59	Vision Transformer Encoder	E. Multimodal VLM	Python
60	Projection Layer for Modality Alignment	E. Multimodal VLM	Python
61	Cross-Attention Fusion	E. Multimodal VLM	Python
62	Vision-Language Pretraining	E. Multimodal VLM	Python
63	Multimodal Evaluation	E. Multimodal VLM	Python
64	Chunking Strategies, Compared	F. Advanced RAG	Python
65	Hybrid Retrieval with BM25 and Dense Embeddings	F. Advanced RAG	Python
66	Cross-Encoder Reranker	F. Advanced RAG	Python
67	Query Rewriting: HyDE, Multi-Query, and Decomposition	F. Advanced RAG	Python
68	RAG Evaluation: Precision, Recall, MRR, nDCG, Faithfulness, Answer Relevance	F. Advanced RAG	Python
69	End-to-End RAG System	F. Advanced RAG	Python
70	Task Spec Format	G. Eval framework	Python
71	Classical Metrics	G. Eval framework	Python
72	Code Exec Metric	G. Eval framework	Python
73	Perplexity and Calibration	G. Eval framework	Python
74	Leaderboard Aggregation	G. Eval framework	Python
75	End-to-End Eval Runner	G. Eval framework	Python
76	Collective Ops From Scratch	H. Distributed train	Python
77	Data Parallel DDP From Scratch	H. Distributed train	Python
78	ZeRO Optimizer State Sharding	H. Distributed train	Python
79	Pipeline Parallel and Bubble Analysis	H. Distributed train	Python
80	Sharded Checkpoint and Atomic Resume	H. Distributed train	Python
81	End-to-End Distributed Training	H. Distributed train	Python
82	Jailbreak Taxonomy	I. Safety harness	Python
83	Prompt Injection Detector	I. Safety harness	Python
84	Refusal Evaluation	I. Safety harness	Python
85	Content Classifier Integration	I. Safety harness	Python
86	Constitutional Rules Engine	I. Safety harness	Python, YAML
87	End-to-End Safety Gate	I. Safety harness	Python

`--layout`	Path written
`skills`	`<target>/<name>/SKILL.md` (nested convention, supported by Claude / Cursor / Codex / OpenClaw / Hermes)
`by-phase`	`<target>/phase-NN/<name>.md`
`flat`	`<target>/<name>.md`

Background	Start at	Estimated time
New to programming and AI	Phase 0 — Setup	~306 hours
Know Python, new to ML	Phase 1 — Math Foundations	~270 hours
Know ML, new to deep learning	Phase 3 — Deep Learning Core	~200 hours
Know deep learning, want LLMs and agents	Phase 10 — LLMs from Scratch	~100 hours
Senior engineer, only want agent engineering	Phase 14 — Agent Engineering	~60 hours

_{FIG_003 · A} THE INDUSTRY SIGNAL	_{FIG_003 · B} FOUNDATIONAL PAPERS COVERED
"The hottest new programming language is English." — Andrej Karpathy (tweet) "Software engineering is being remade in front of our eyes." — Boris Cherny, creator of Claude Code "Models will keep getting better. The skill that compounds is knowing what to build." — Industry consensus, 2026	Attention Is All You Need — Vaswani et al., 2017 → Phase 7 Language Models are Few-Shot Learners (GPT-3) → Phase 10 Denoising Diffusion Probabilistic Models → Phase 8 InstructGPT / RLHF → Phase 10 Direct Preference Optimization → Phase 10 Chain-of-Thought Prompting → Phase 11 ReAct: Reasoning + Acting in LLMs → Phase 14 Model Context Protocol — Anthropic → Phase 13

Goal	Read
Contribute a lesson or fix	CONTRIBUTING.md
Fork for your team or school	FORKING.md
Lesson template	LESSON_TEMPLATE.md
Track progress	ROADMAP.md
Glossary	glossary/terms.md
Code of conduct	CODE_OF_CONDUCT.md

Tier	$/mo	What you get
Backer	$25	Name in BACKERS.md
Bronze	$250	Text-only row in README sponsor block + launch-day tweet
Silver	$750	Small logo in README + listed as one supported provider in API lessons
Gold	$2,000	Medium logo in README + sponsor page + quarterly X / LinkedIn co-feature
Platinum	$5,000	Hero logo above the fold + one dedicated integration lesson, max 1 partner

Repo liên quan

CÂU HỎI THƯỜNG GẶP

Trả lời nhanh

Cùng nhóm AI Tools còn repo nào?

rohitg00/ai-engineering-from-scratch thuộc nhóm AI Tools trên TopGit, cùng 20 topic GitHub. Trang Trending và Topics liệt kê các repo cùng số sao và cùng ngôn ngữ để so sánh.

Đọc thêm về rohitg00/ai-engineering-from-scratch ở đâu?

Trang TopGit này là một snapshot — tab "Readme" hiển thị nguyên văn README của repo (đã bỏ link, giữ ảnh). Repo GitHub ở github.com/rohitg00/ai-engineering-from-scratch là nguồn chính thức.

rohitg00/ai-engineering-from-scratch có bao nhiêu sao?

rohitg00/ai-engineering-from-scratch có 47.1k sao GitHub — tải lại trang để xem số mới nhất, hoặc xem trực tiếp github.com/rohitg00/ai-engineering-from-scratch. TopGit phản chiếu số sao của GitHub nhưng không cam kết đến từng phút.

rohitg00/ai-engineering-from-scratch có phải mã nguồn mở không?

Có — rohitg00/ai-engineering-from-scratch phát hành theo license MIT, nghĩa là mã nguồn mở để đọc, fork và (tùy license) tái sử dụng. Mã: github.com/rohitg00/ai-engineering-from-scratch.

rohitg00/ai-engineering-from-scratch có trang demo không?

Dự án có trang chủ ở https://aiengineeringfromscratch.com. Tab "Readme" ở trang này thường có ảnh chụp và hướng dẫn bắt đầu nhanh.

rohitg00/ai-engineering-from-scratch là gì?

rohitg00/ai-engineering-from-scratch (rohitg00/ai-engineering-from-scratch) là dự án Python trên GitHub. Theo mô tả gốc: Learn it. Build it. Ship it for others.

rohitg00/ai-engineering-from-scratch so với các dự án AI Tools khác thế nào?

rohitg00/ai-engineering-from-scratch được TopGit xếp vào nhóm AI Tools, với 47.1k sao GitHub và viết bằng Python. Xem trang chủ đề AI Tools trên TopGit để so sánh với các dự án tương tự theo số sao và mức độ hoạt động.

Đọc đầy đủ README ở tab phía trên.

Muốn nghe thêm một ý kiến về ai-engineering-from-scratch?

Hỏi một AI đọc được trang này — một cú bấm là có ngay nhận định về ai-engineering-from-scratch.

Hỏi ChatGPT Hỏi Claude Hỏi Perplexity Hỏi Google AI Mode Hỏi Kimi Hỏi Grok

GitHub

rohitg00/ai-engineering-from-scratch

Snapshot

Cộng tác viên hàng đầu

From the creator of Agent Memory - #1 Persistent memory ⭐ which naturally works with any agents or chat assistants.

Start learning in 30 seconds

How this works

The shape of the curriculum

The shape of a lesson

Getting started

Prerequisites

Prepare for Claude certifications

The learning skills (any agent: Claude, Cursor, Codex, OpenClaw, Hermes, …)

Read the core curriculum as a book

Every lesson ships something

FIG_002 · A worked sample

Contents

Phase 0: Setup & Tooling `12 lessons`

The toolkit

Install course skills into your agent

Drop the agent workbench into your own repo

Browse the entire course as JSON

Smoke-check every lesson's Python code

Where to start

Why this matters now

Contributing

Sponsor the work

Star history

License

Repo liên quan

Trả lời nhanh

Muốn nghe thêm một ý kiến về ai-engineering-from-scratch?

Snapshot

Cộng tác viên hàng đầu

From the creator of Agent Memory - #1 Persistent memory ⭐ which naturally works with any agents or chat assistants.

Start learning in 30 seconds

How this works

The shape of the curriculum

The shape of a lesson

Getting started

Prerequisites

Prepare for Claude certifications

The learning skills (any agent: Claude, Cursor, Codex, OpenClaw, Hermes, …)

Read the core curriculum as a book

Every lesson ships something

FIG_002 · A worked sample

Contents

Phase 0: Setup & Tooling 12 lessons

The toolkit

Install course skills into your agent

Drop the agent workbench into your own repo

Browse the entire course as JSON

Smoke-check every lesson's Python code

Where to start

Why this matters now

Contributing

Sponsor the work

Star history

License

Repo liên quan

Trả lời nhanh

Muốn nghe thêm một ý kiến về ai-engineering-from-scratch?

Phase 0: Setup & Tooling `12 lessons`