Module 1 of 1 in AI Agents from Scratch

Context Engineering for AI

Mar 15 2026, Python 3.12, LangChain 1.2, n8n 2.0, VS Code 1.107
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Explore context engineering as the foundation for building reliable, efficient AI systems. Learn how LLMs, prompting, RAG, agents, LangChain, and LangGraph work together in real applications. Understand the AI platform ecosystem and build practical workflows to choose the right tools for real-world use cases. By Godfred Afful.

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EXPERIENCE
Intermediate level
EST TIME TO COMPLETE
1 hr, 10 mins
CONTENT
3 lessons
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Module outcomes

  • Design reliable AI systems using context engineering, RAG, and agent-based architectures.
  • Build practical AI applications with LangChain, LangGraph, and workflow tools like n8n.
  • Apply advanced context management techniques to improve accuracy, efficiency, and scalability.
  • Evaluate and select AI platforms suited to real-world use cases and constraints.

Covered concepts

  • Large Language Models (LLMs)
  • Prompt Engineering Fundamentals
  • Retrieval Augmented Generation (RAG)
  • Agentic AI
  • Context Engineering Principles
  • LangChain
  • Graph-Based Agent Design with LangGraph
  • Context Management Techniques
  • AI Platforms
  • AI workflow with n8n

Module content

1
State of AI Lesson (20 mins)

This lesson explores the state of AI today, covering its evolution, key technologies, and real-world impact.

 Start
Introduction • Start Reading · 2 mins
AI, LLM & Prompt Engineering Reading · 6 mins
Prompt Engineering Demo Video · 5 mins
RAG, AI Agents & Context Engineering Reading · 6 mins
Conclusion Reading · 1 min
2
Context Engineering with LangChain Lesson (26 mins)

This lesson focuses on using LangChain and LangGraph to build structured, modular AI applications. It dives deep into context engineering techniques like RAG, agents, pruning, summarization, and compaction to design reliable, efficient AI workflows.

 Start
Introduction • Start Reading · 1 min
LangChain Reading · 4 mins
Components of Context Engineering: Part 1 Reading · 9 mins
Context Pruning Demo Video · 5 mins
Components of Context Engineering: Part 2 Reading · 6 mins
Conclusion Reading · 1 min
3
AI Agent Platforms Lesson (24 mins)

Explore AI platform landscape and learn to build real-world AI workflows using n8n.

 Start
Introduction • Start Reading · 1 min
Reviewing AI Platforms: Part 1 Reading · 9 mins
AI Workflow Demo Reading · 7 mins
Reviewing AI Platforms: Part 2 Video · 6 mins
Conclusion Reading · 1 min