Course Slides

Download lecture slides for each week. All slides are in PDF format, optimized for printing and annotation.

Status: All 12 slide decks complete and available for download.

Available Slides

Week 1: Introduction to Agentic AI

Agent definitions, ReAct paradigm, autonomous systems overview

Week 2: LLM Foundations for Agents

Chain-of-Thought, Tree-of-Thoughts, prompting strategies

Week 3: Tool Use and Function Calling

MCP protocol, OpenAI/Anthropic APIs, tool design

Week 4: Planning and Reasoning

Reflexion, LATS, hierarchical planning, memory

Week 5: Multi-Agent Architectures

Communication topologies, AutoGen, MetaGPT, ChatDev

Week 6: Agent Frameworks

LangGraph, CrewAI, framework comparison and selection

Week 7: Advanced RAG

Self-RAG, CRAG, RAPTOR, agentic retrieval

Week 8: GraphRAG and Knowledge

From vector search to knowledge graphs for structured retrieval

Week 9: Hallucination Prevention

Verification, grounding, and factuality for trustworthy agents

Week 10: Agent Evaluation

Benchmarks, metrics, and assessment for rigorous agent testing

Week 11: Domain Applications

Code, finance, and healthcare agents with domain-specific constraints

Week 12: Research Frontiers

Open problems, future directions, and cutting-edge research

Slide Specifications

Property Value
Format PDF (Beamer)
Theme Madrid
Font Size 8pt base
Charts Matplotlib/Python generated
Resolution 300 DPI

Using the Slides

For Instructors

These slides are designed for 90-minute lectures. Each deck includes:

  • Title slide with learning objectives
  • Concept slides with visualizations
  • Code examples (non-executable)
  • Discussion prompts
  • Summary and preview

For Students

We recommend:

  1. Download before class for annotation
  2. Follow along with Colab notebooks
  3. Review reading guides for deeper understanding
  4. Complete exercises after lecture

Printing

For best results:

  • Use “Handouts” mode (4-6 slides per page)
  • Print in color for chart readability
  • Consider double-sided to save paper

Contributing

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