Mastering Production Prompt Engineering & Agentic AI

intermediate 1 min read updated 6 Apr 2026 ai-ml › prompt-engineering
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Welcome to the definitive guide on Prompt Engineering and Agentic AI for developers. This comprehensive collection moves beyond theory, focusing exclusively on practical, production-ready workflows and techniques. Prepare to master the skills needed to build cutting-edge AI applications in 2026 and beyond.

Chapters

  1. 01 Advanced Reasoning with Chain-of-Thought and Self-Consistency 15m
  2. 02 Build Your First RAG System Using Embeddings and Vector Databases 21m
  3. 03 Structure LLM Prompts for Precision and Reliability 15m
  4. 04 Agentic AI: LLM, Memory, Tools, Planning Explained 17m
  5. 05 Developing Robust Agents: Design Patterns for Production Readiness 18m
  6. 06 Empowering Agents with Custom Tools and API Integrations 20m
  7. 07 Evaluate & Test AI Prompts & Agents for Performance 18m
  8. 08 Prompt Engineering Fundamentals for Effective LLM Communication 16m
  9. 09 Introduction to Retrieval-Augmented Generation (RAG) 15m
  10. 10 Orchestrating Agents with Frameworks: LangChain and LlamaIndex 29m
  11. 11 Build AI Agents with Persistent Short-Term and Long-Term Memory 17m
  12. 12 Production Deployment: Scaling, Cost Optimization, and Ethical AI 17m

Related reading

courses Introduction to AI Agent Memory: Why Agents Need to Remember 8 min courses Short-Term Recall: Managing Agent Context and Conversation Memory 17 min courses How Agents Think: Designing Planning and Task Decomposition 14 min courses Persistent Memory & Context Management: Remembering the Past 22 min