Prompt Engineering for Agentic Workflows
This course provides a comprehensive guide to prompt engineering specifically for creating and managing AI agents that perform complex, multi-step tasks. You will learn how to design prompts that enable agents to plan, use tools, manage memory, and execute sophisticated workflows. It covers advanced techniques for controlling agent behavior and optimizing their performance in automated systems.
Prerequisites LLM concepts, basic prompting.
Level:
Agentic System Design
Understand the architecture and components of AI agents and how prompt engineering influences their behavior.
Advanced Prompting Techniques
Apply sophisticated prompting strategies for multi-step reasoning, task decomposition, and agent control.
Tool Integration
Design prompts that enable AI agents to effectively select, use, and interact with external tools and APIs.
Agent Planning and Memory
Engineer prompts to guide agent planning processes and manage both short-term and long-term memory.
Debugging and Optimization
Develop methods for testing, debugging, and refining prompts to improve the reliability and performance of agentic workflows.
There are no prerequisite courses for this course.
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