Introduction to Developing AI Agents
Introduction to Developing AI Agents
Released 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 35m 59s | Size: 84 MB
Released 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 35m 59s | Size: 84 MB
This course will teach you how agentic applications, which leverage LLMs as reasoning engines, represent the next big breakthrough in AI. You'll also learn how to build useful agents using the Python programming language.
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.