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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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Structured Prompt Engineering
Advanced Prompting Techniques
An Interactive AI Tutorial With Concepts and Leassons Learned
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