Name: Mastering Context Design for Intelligent AI Agents
Availability: InStock

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

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

AI Specialist | IT Professional Trainer | Principal Engineer

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101,119 Students

8 Courses

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