Mastering Context Design for Intelligent AI Agents

Mastering Context Design for Intelligent AI Agents

A complete self-paced crash course on Mastering Context Design, brought to you by Vivian Aranha. Join thousands of satisfied students who have mastered Mastering Context Design through this highly-rated course. With hands-on projects and real-world examples, you'll gain confidence in your Mastering Context Design abilities.

4.4
4670 students
Created by Vivian Aranha
Self-paced
English
0 enrolled
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

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Instructor:Vivian Aranha
Duration:Self-paced
Language:English
Code:
Expires:Apr 15, 2026