Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore the basics of developing AI agents. Learn architectures, behaviors, and tools used to build autonomous, intelligent systems.
AI agents are set to become a key driver in the evolution of artificial intelligence in the near term. AI agents are revolutionizing generative AI by leveraging LLMs as reasoning engines and using tools (function calls) to perform multistep tasks. In this course, Introduction to Developing AI Agents, you’ll learn to create these AI agents. First, you’ll explore the fundamentals of AI agents, including their architecture, types, and use cases. Next, you’ll implement a basic AI agent framework in Python. Finally, you’ll learn to develop advanced agents that leverage LLMs to reason, interact with its environment, and achieve goals. By the end of this course, you’ll have the skills to build agentic AI Applications (with memory and tool-using capabilities) to automate workflows.
AI agents are set to become a key driver in the evolution of artificial intelligence in the near term. AI agents are revolutionizing generative AI by leveraging LLMs as reasoning engines and using tools (function calls) to perform multistep tasks. In this course, Introduction to Developing AI Agents, you’ll learn to create these AI agents. First, you’ll explore the fundamentals of AI agents, including their architecture, types, and use cases. Next, you’ll implement a basic AI agent framework in Python. Finally, you’ll learn to develop advanced agents that leverage LLMs to reason, interact with its environment, and achieve goals. By the end of this course, you’ll have the skills to build agentic AI Applications (with memory and tool-using capabilities) to automate workflows.
