Description
AI Agents and Agentic AI in Python: Powered by Generative AI Specialization is a course on developing AI agents using Python published by Udemy Online Academy. This course explores the development of AI agents using Python and uses generative AI to create autonomous and intelligent systems. It covers fundamental concepts such as agent-based architectures, reinforcement learning, rapid engineering, and the integration of large language models (LLMs) such as GPT. Using APIs and frameworks such as LangChain, learners will build AI agents that are capable of making decisions, automating tasks, and interacting in the real world.
Whether you’re a beginner or an experienced developer, you’ll master the core concepts that power AI agents, giving you complete control over their design and capabilities. You’ll start with the basics, understanding how agent loops work, then move on to equipping your agents with tools, integrating multi-agent systems, and implementing self-driving cars for more autonomous behavior. Practical applications include chatbots, data analysis assistants, and automated workflow systems. The course emphasizes hands-on projects, fine-tuning AI behavior, and ethical considerations in AI deployment. By the end, individuals will have the skills to design, build, and deploy AI-based agents for a variety of applications.
What you will learn in the AI Agents and Agentic AI in Python: Powered by Generative AI Specialization course:
- Creating autonomous AI agents
- Basic and advanced operating concepts
- Optimize AI agents for real-world use
- And …
Course details
Publisher: Coursera
Instructor: Dr. Jules White
Language: English
Level of Instruction: Beginner
Number of Lessons: 67
Duration: 9 hours and 25 minutes
Course topics

Course prerequisites
Basic Python programming experience is required. You should already know how to write, debug, and run Python code.
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Introduction video for the course AI Agents and Agentic AI in Python: Powered by Generative AI Specialization
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Installation Guide
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Subtitles: English
Quality: 720p
File size
4.1 GB
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