Applied and Agentic AI Development for Real-World Apps
Explore a comprehensive collection of chapters designed to guide you from beginner to professional in Applied AI and Agentic AI development. This path covers everything from foundational programming to advanced agent orchestration and production deployment, with a strong focus on building real-world AI applications. Discover progressively challenging projects, system design patterns, and expert insights to master modern AI practices.
Chapters
- 01 Foundations of Applied AI: Python & System Thinking 12m
- 02 Understanding Large Language Models (LLMs) & AI APIs 12m
- 03 Mastering Prompt Engineering for Effective LLM Instruction 12m
- 04 Tool Use & Function Calling: Extending LLM Capabilities 15m
- 05 Enhance LLMs with Custom Data using Retrieval-Augmented Generation 17m
- 06 Memory & State Management for Persistent AI Interactions 16m
- 07 Introduction to AI Agents: Autonomy in Action 15m
- 08 Agent Orchestration & Multi-Agent Systems 15m
- 09 Designing AI-Driven Workflows & Complex Agent Patterns 17m
- 10 Evaluation, Observability & Debugging AI Agents 15m
- 11 Cost and Latency Optimization for Production AI 15m
- 12 Security, Privacy & Ethical AI Development 18m
- 13 Production Deployment & Scaling AI Agents 16m
- 14 Build a Smart AI Research Assistant Agent Project 17m
- 15 Build an Autonomous AI Workflow Agent Project 15m
- 16 Build Collaborative Multi-Agent Systems with Python & LLMs 14m