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An Interactive AI Tutorial With Concepts and Leassons Learned

Context Engineering & Prompt Design

Overview & Learning Objectives
LLM Fundamentals
Structured Prompt Engineering
Advanced Prompting Techniques
Prompt Optimization
Model Selection & Cost Optimization
Production Considerations
Hands-On Exercise
Recap & Resources

Retrieval Augmented Generation (RAG)

Overview & Learning Objectives
RAG Fundamentals
Search Strategy Selection
Chunking & Metadata Strategies
Working with PDF and Images
RAG Evaluation
Reranking in Practice
Advanced RAG Patterns
Recap & Resources

AI Agents

Overview & Learning Objectives
Introduction to AI Agents
Tool Design & Implementation
Agent Memory
Hands-On Exercise
Recap & Resources

Agent Reliability & Optimization

Module Overview
Business Rules & Guardrails
Tool Selection & Optimization
Hands-On Exercise
Recap & Resources

Multi-Agent Systems & Coordination

Module Overview
Multi-Agent with Workflow Orchestration
Multi-Agent with Agent Orchestration
Agent-to-Agent (A2A) Communication Protocols
Hands-On Exercise
Recap & Resources

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