Slide decks
48 PDF decks for a condensed pass through the material. The files are in
slides/; GitHub displays them in the browser.
- Parts 1–2 are Agentic AI Book Club session decks (v1.0, 2026-03-01), each covering two or three chapters.
- Parts 3–6 have per-chapter decks (v20MAR26), with the gaps listed below.
- Parts 7–10 have no decks yet.
Coverage
| Part | Chapters | Chapters with a deck |
|---|---|---|
| Part 1 | 11 | 11 |
| Part 2 | 9 | 9 |
| Part 3 | 12 | 11 |
| Part 4 | 7 | 7 |
| Part 5 | 13 | 13 |
| Part 6 | 14 | 9 |
| Part 7 | 8 | 0 |
| Part 8 | 5 | 0 |
| Part 9 | 10 | 0 |
| Part 10 | 7 | 0 |
Chapters in Parts 3–6 that still lack a deck: Part 3: 3.1C; Part 6: 6.3C, 6.4B, 6.5B, 6.6A, 6.6C. A deck numbered for a chapter family (for example Ch6.1 for
chapters 6.1A and 6.1C) counts toward each chapter in the family.
All decks
| File | Title | Chapters | Version |
|---|---|---|---|
| Chapter1.1A&B_v1.0_2026_03_01.pdf | Book Club session deck: chapters 1.1A, 1.1B | 1.1A, 1.1B | v1.0 (2026-03-01) |
| Chapter1.2&1.3_v1.0_2026_03_01.pdf | Book Club session deck: chapters 1.2, 1.3 | 1.2, 1.3 | v1.0 (2026-03-01) |
| Chapter1.4_1.5_v1.0_2026_03_01.pdf | Book Club session deck: chapters 1.4, 1.5 | 1.4, 1.5 | v1.0 (2026-03-01) |
| Chapter1.6_1.7A_v1.0_2026_03_01.pdf | Book Club session deck: chapters 1.6, 1.7A | 1.6, 1.7A | v1.0 (2026-03-01) |
| Chapter1.7B_1.8_v1.0_2026_03_01 (1).pdf | Book Club session deck: chapters 1.7B, 1.8 | 1.7B, 1.8 | v1.0 (2026-03-01) |
| Chapter 2.1 and 2.2_v1.0_2026_03_01.pdf | Book Club session deck: chapters 2.1, 2.2 | 2.1, 2.2 | v1.0 (2026-03-01) |
| Chapter2.3_2.4_v1.0_2026_03_01.pdf | Book Club session deck: chapters 2.3, 2.4 | 2.3, 2.4 | v1.0 (2026-03-01) |
| Chapter2.5_2.6_v1.0_2026_03_01.pdf | Book Club session deck: chapters 2.5, 2.6 | 2.5, 2.6 | v1.0 (2026-03-01) |
| Chapter2.7_2.8_2.9_v1.0_2026_03_01.pdf | Book Club session deck: chapters 2.7, 2.8, 2.9 | 2.7, 2.8, 2.9 | v1.0 (2026-03-01) |
| Ch3.1A_v20MAR26.pdf | Implement Evaluation Pipelines and Task Benchmarks | 3.1A | 20MAR26 |
| Ch3.1B_v20MAR26.pdf | Implement Evaluation Pipelines – Guided Practice | 3.1B | 20MAR26 |
| Ch3.2_v20MAR26.pdf | Compare Agent Performance Across Tasks and Datasets | 3.2 | 20MAR26 |
| Ch3.3_v20MAR26.pdf | Web Navigation and Multi-Hop Benchmarks | 3.3 | 20MAR26 |
| Ch3.4_v20MAR26.pdf | Tuning Model Parameters for Production Performance | 3.4 | 20MAR26 |
| Ch3.5_v20MAR26.pdf | Prompt Optimization, Few-Shot Learning, and Fine-Tuning | 3.5 | 20MAR26 |
| Ch3.6_v20MAR26.pdf | Trace Analysis and Execution Debugging | 3.6 | 20MAR26 |
| Ch3.7_v20MAR26.pdf | Tool Usage Auditing | 3.7 | 20MAR26 |
| Ch3.8_v20MAR26.pdf | Action Accuracy Metrics | 3.8 | 20MAR26 |
| Ch3.9_v20MAR26.pdf | Reasoning Quality | 3.9 | 20MAR26 |
| Ch3.10_v20MAR26.pdf | Efficiency Metrics | 3.10 | 20MAR26 |
| Ch4.1_v20MAR26.pdf | Introduction to AI Agent Deployment and Scaling | 4.1 | 20MAR26 |
| Ch4.2_v20MAR26.pdf | Deployment and Scaling | 4.2 | 20MAR26 |
| Ch4.3_v20MAR26.pdf | Container Orchestration | 4.3 | 20MAR26 |
| Ch4.4_v20MAR26.pdf | Performance Profiling and Optimization | 4.4 | 20MAR26 |
| Ch4.5_v20MAR26.pdf | NVIDIA NIM and Triton Inference Server | 4.5 | 20MAR26 |
| Ch4.6_v20MAR26.pdf | TensorRT-LLM and NVIDIA Fleet Command | 4.6 | 20MAR26 |
| Ch4.7_v20MAR26.pdf | Scaling Strategies | 4.7 | 20MAR26 |
| Ch5.1_v20MAR26.pdf | Chain-of-Thought (CoT) Fundamentals | 5.1 | 20MAR26 |
| Ch5.2_v20MAR26.pdf | Tree-of-Thought (ToT) Fundamentals | 5.2 | 20MAR26 |
| Ch5.3_v20MAR26.pdf | Self-Consistency Fundamentals | 5.3 | 20MAR26 |
| Ch5.4_v20MAR26.pdf | Hierarchical Planning Fundamentals | 5.4 | 20MAR26 |
| Ch5.5_v20MAR26.pdf | Monte Carlo Tree Search Fundamentals | 5.5 | 20MAR26 |
| Ch5.6_v20MAR26.pdf | A* Search and Replanning | 5.6 | 20MAR26 |
| Ch5.7_v20MAR26.pdf | Episodic Memory | 5.7 | 20MAR26 |
| Ch5.8_v20MAR26.pdf | Semantic Memory | 5.8 | 20MAR26 |
| Ch5.9_v20MAR26.pdf | Working Memory | 5.9 | 20MAR26 |
| Ch5.10_v20MAR26.pdf | Utility-Based Decision Making Fundamentals | 5.10 | 20MAR26 |
| Ch5.11_v20MAR26.pdf | Rule-Based Decision Making Fundamentals | 5.11 | 20MAR26 |
| Ch5.12_v20MAR26.pdf | Learning-Based Decision Making Fundamentals | 5.12 | 20MAR26 |
| Ch5.13_v20MAR26.pdf | Hybrid Decision Systems Fundamentals | 5.13 | 20MAR26 |
| Ch6.1_v20MAR26.pdf | Embeddings and RAG Fundamentals | 6.1 | 20MAR26 |
| Ch6.2A_v20MAR26.pdf | Vector Database Selection | 6.2A | 20MAR26 |
| Ch6.2B_v20MAR26.pdf | Production Vector Database Deployment | 6.2B | 20MAR26 |
| Ch6.3A_v20MAR26.pdf | ETL Pipeline Fundamentals | 6.3A | 20MAR26 |
| Ch6.3B_v20MAR26.pdf | ETL Load Phase & Pipeline Integration | 6.3B | 20MAR26 |
| Ch6.4_v20MAR26.pdf | Data Quality Fundamentals | 6.4 | 20MAR26 |
| Ch6.5_v20MAR26.pdf | Production RAG Architecture | 6.5 | 20MAR26 |
| Ch6.6_v20MAR26.pdf | Query Decomposition and Adaptive Retrieval | 6.6 | 20MAR26 |