Free Udemy Course __ Mastering Context Design for Intelligent AI Agents

Learn how to design smarter, effective AI agents using the 6 essential context types: Instructions, Memory, Tools & more

4.5 (15,342 students students enrolled) English
data-science Machine Learning
Mastering Context Design for Intelligent AI Agents

What You'll Learn

  • Understand and apply the 6 types of context: Instructions, Examples, Knowledge, Memory, Tools, and Tool Results
  • Design role-based prompts with clear objectives and behavioral requirements
  • Craft few-shot and zero-shot prompts using positive and negative examples
  • Inject structured domain knowledge, process workflows, and documents into agent prompts
  • Architect short-term and long-term memory systems for multi-turn reasoning
  • Use tool descriptions, parameters, and return values to integrate APIs and functions
  • Handle tool outputs and chain results across multiple agentic steps
  • Balance context length vs. token limits using summarization and prompt compression
  • Implement agent orchestration frameworks like LangChain, CrewAI, and LangGraph
  • Build modular, reusable, and scalable agent workflows for real-world use cases
  • Debug and improve agents with self-reflection and context refresh strategies
  • Complete a capstone project by building a full multi-context AI agent from scratch

Requirements

  • Basic understanding of how LLMs (like ChatGPT, Claude, or Gemini) work
  • Familiarity with prompt engineering or prompt-based interactions
  • Some exposure to tools like LangChain, OpenAI API, or CrewAI is helpful but not required
  • General comfort reading or writing structured data formats like JSON
  • A willingness to experiment and iterate with AI agent workflows

Who This Course is For

  • A Prompt Engineer who wants to move beyond templates into modular, agentic design
  • A Software Developer or AI Engineer building multi-step LLM-based applications
  • A Technical Product Manager designing features powered by agents or assistants
  • A Data Scientist experimenting with autonomous decision-making systems
  • An AI Enthusiast curious about how tools like LangChain, OpenAI Assistants, and CrewAI really work
  • A Researcher or Educator looking for deeper insight into contextual design principles for agents

Your Instructor

Vivian Aranha

AI Specialist | IT Professional Trainer | Principal Engineer

4.2 Instructor Rating

460 Reviews

81,304 Students

6 Courses

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