Phase 19: 毕业项目

本阶段包含 55 课时。

原始课程来源：AI Engineering from Scratch (MIT License)

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• Capstone 01 — Terminal-Native Coding Agent
• Capstone 02 — RAG over Codebase (Cross-Repo Semantic Search)
• Capstone 03 — Real-Time Voice Assistant (ASR to LLM to TTS)
• Capstone 04 — Multimodal Document QA (Vision-First PDF, Tables, Charts)
• Capstone 05 — Autonomous Research Agent (AI-Scientist Class)
• Capstone 06 — DevOps Troubleshooting Agent for Kubernetes
• Capstone 07 — End-to-End Fine-Tuning Pipeline (Data to SFT to DPO to Serve)
• Capstone 08 — Production RAG Chatbot for a Regulated Vertical
• Capstone 09 — Code Migration Agent (Repo-Level Language / Runtime Upgrade)
• Capstone 10 — Multi-Agent Software Engineering Team
• Capstone 11 — LLM Observability & Eval Dashboard
• Capstone 12 — Video Understanding Pipeline (Scene, QA, Search)
• Capstone 13 — MCP Server with Registry and Governance
• Capstone 14 — Speculative-Decoding Inference Server
• Capstone 15 — Constitutional Safety Harness + Red-Team Range
• Capstone 16 — GitHub Issue-to-PR Autonomous Agent
• Capstone 17 — Personal AI Tutor (Adaptive, Multimodal, with Memory)
• Agent Harness Loop Contract
• Tool Registry with Schema Validation
• JSON-RPC 2.0 Over Newline-Delimited Stdio
• Function Call Dispatcher
• Plan-Execute Control Flow
• Capstone Lesson 25: Verification Gates and the Observation Budget
• Capstone Lesson 26: Sandbox Runner with Denylist and Path Jail
• Capstone Lesson 27: Eval Harness with Fixture Tasks
• Capstone Lesson 28: Observability with OTel GenAI Spans and Prometheus Metrics
• Capstone Lesson 29: End-to-End Coding Agent on the Harness
• BPE Tokenizer From Scratch
• Tokenized Dataset with Sliding Window
• Token and Positional Embeddings
• Multi-Head Self-Attention
• Transformer Block from Scratch
• GPT Model Assembly
• Training Loop and Evaluation
• Loading Pretrained Weights
• Capstone Lesson 38: Classifier Fine-Tuning by Head Swap
• Capstone Lesson 39: Instruction Tuning by Supervised Fine-Tuning
• Capstone Lesson 40: Direct Preference Optimization from Scratch
• Capstone Lesson 41: Full Evaluation Pipeline
• Large Corpus Downloader
• HDF5 Tokenized Corpus
• Cosine LR with Linear Warmup
• Gradient Clipping and Mixed Precision
• Gradient Accumulation
• Checkpoint Save and Resume
• Distributed Data Parallel and FSDP from Scratch
• Language Model Evaluation Harness
• Hypothesis Generator
• Literature Retrieval
• Experiment Runner
• Result Evaluator
• Paper Writer
• Critic Loop
• Iteration Scheduler
• End-to-End Research Demo