Capstone Projects

Prove everything you learned. Build portfolio-grade systems.

Цена: 5 161 ₽

Длительность: 66 ч

Автор: John Jackson

Программа курса

  1. Capstone 01 — Terminal-Native Coding Agent
  2. Capstone 02 — RAG over Codebase (Cross-Repo Semantic Search)
  3. Capstone 03 — Real-Time Voice Assistant (ASR to LLM to TTS)
  4. Capstone 04 — Multimodal Document QA (Vision-First PDF, Tables, Charts)
  5. Capstone 05 — Autonomous Research Agent (AI-Scientist Class)
  6. Capstone 06 — DevOps Troubleshooting Agent for Kubernetes
  7. Capstone 07 — End-to-End Fine-Tuning Pipeline (Data to SFT to DPO to Serve)
  8. Capstone 08 — Production RAG Chatbot for a Regulated Vertical
  9. Capstone 09 — Code Migration Agent (Repo-Level Language / Runtime Upgrade)
  10. Capstone 10 — Multi-Agent Software Engineering Team
  11. Capstone 11 — LLM Observability & Eval Dashboard
  12. Capstone 12 — Video Understanding Pipeline (Scene, QA, Search)
  13. Capstone 13: Stateless MCP Server with Registry and Governance
  14. Capstone 14 — Speculative-Decoding Inference Server
  15. Capstone 15 — Constitutional Safety Harness + Red-Team Range
  16. Capstone 16 — GitHub Issue-to-PR Autonomous Agent
  17. Capstone 17 — Personal AI Tutor (Adaptive, Multimodal, with Memory)
  18. Agent Harness Loop Contract
  19. Tool Registry with Schema Validation
  20. JSON-RPC 2.0 Over Newline-Delimited Stdio
  21. Function Call Dispatcher
  22. Plan-Execute Control Flow
  23. Capstone Lesson 25: Verification Gates and the Observation Budget
  24. Capstone Lesson 26: Sandbox Runner with Denylist and Path Jail
  25. Capstone Lesson 27: Eval Harness with Fixture Tasks
  26. Capstone Lesson 28: Observability with OTel GenAI Spans and Prometheus Metrics
  27. Capstone Lesson 29: End-to-End Coding Agent on the Harness
  28. BPE Tokenizer From Scratch
  29. Tokenized Dataset with Sliding Window
  30. Token and Positional Embeddings
  31. Multi-Head Self-Attention
  32. Transformer Block from Scratch
  33. GPT Model Assembly
  34. Training Loop and Evaluation
  35. Loading Pretrained Weights
  36. Capstone Lesson 38: Classifier Fine-Tuning by Head Swap
  37. Capstone Lesson 39: Instruction Tuning by Supervised Fine-Tuning
  38. Capstone Lesson 40: Direct Preference Optimization from Scratch
  39. Capstone Lesson 41: Full Evaluation Pipeline
  40. Large Corpus Downloader
  41. HDF5 Tokenized Corpus
  42. Cosine LR with Linear Warmup
  43. Gradient Clipping and Mixed Precision
  44. Gradient Accumulation
  45. Checkpoint Save and Resume
  46. Distributed Data Parallel and FSDP from Scratch
  47. Language Model Evaluation Harness
  48. Hypothesis Generator
  49. Literature Retrieval
  50. Experiment Runner
  51. Result Evaluator
  52. Paper Writer
  53. Critic Loop
  54. Iteration Scheduler
  55. End-to-End Research Demo
  56. Vision Encoder Patches
  57. Vision Transformer Encoder
  58. Projection Layer for Modality Alignment
  59. Cross-Attention Fusion
  60. Vision-Language Pretraining
  61. Multimodal Evaluation
  62. Chunking Strategies, Compared
  63. Hybrid Retrieval with BM25 and Dense Embeddings
  64. Cross-Encoder Reranker
  65. Query Rewriting: HyDE, Multi-Query, and Decomposition
  66. RAG Evaluation: Precision, Recall, MRR, nDCG, Faithfulness, Answer Relevance
  67. End-to-End RAG System
  68. Task Spec Format
  69. Classical Metrics
  70. Code Exec Metric
  71. Perplexity and Calibration
  72. Leaderboard Aggregation
  73. End-to-End Eval Runner
  74. Collective Ops From Scratch
  75. Data Parallel DDP From Scratch
  76. ZeRO Optimizer State Sharding
  77. Pipeline Parallel and Bubble Analysis
  78. Sharded Checkpoint and Atomic Resume
  79. End-to-End Distributed Training
  80. Capstone 82 — Jailbreak Taxonomy
  81. Capstone 83 — Prompt Injection Detector
  82. Capstone 84 — Refusal Evaluation
  83. Capstone 85 — Content Classifier Integration
  84. Capstone 86 — Constitutional Rules Engine
  85. Capstone 87 — End-to-End Safety Gate
  86. Итоговое задание