Master building, evaluating, and deploying robust AI agents to automate complex tasks and create advanced autonomous systems.
Overview
This comprehensive course from DeepLearning.AI teaches you the fundamentals and advanced techniques of Agentic AI. You'll learn how to design, implement, and fine-tune AI agent workflows, leveraging large language models to automate complex decision-making and task execution. The curriculum covers best practices for agent evaluation, iterative improvement, and explores common use cases and design patterns. Ideal for developers and AI engineers seeking to build powerful, autonomous AI applications, this course bridges theory with practical, hands-on implementation.
Instructor
Isa Fulford
AI Researcher, Co-Instructor
Isa Fulford is an AI researcher and educator, known for her work at OpenAI and expertise in practical LLM and agentic AI applications.
Learning Outcomes
Understand the key concepts and power of agentic AI workflows.
Implement a practical agent workflow from scratch.
Learn best practices for structuring and designing agent systems.
Develop strategies for evaluating and iteratively improving AI agents.
Explore common use cases and design patterns for robust agentic AI.
Build autonomous AI applications using modern agent frameworks.