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Learner Reviews & Feedback for Implementation of GenAI Agents by Coursera

4.4
stars
59 ratings

About the Course

This course offers a fast-paced, hands-on introduction to the world of AI agents, perfect for aspiring AI architects and innovators. In just 75 minutes, you'll develop the skills to build AI agents that can understand, reason, and act in real-world scenarios. With a focus on efficiency and practical development, you'll dive straight into coding while gaining techniques that are scalable for future projects. This course is crafted for software developers, AI engineers, data scientists, and data and business analysts who are keen to implement AI in real-world scenarios. If you're interested in expanding your technical skills and gaining hands-on experience with AI agent development, this is the perfect starting point. Whether you're aiming to enhance existing applications, explore AI-powered solutions, or bring new ideas to life, this course equips you with essential skills for AI-driven innovation. This course is designed to be accessible to learners with a foundational understanding of Python programming and a general awareness of AI concepts; advanced AI expertise is not required. To participate fully, you’ll need a computer with a reliable internet connection, as the course involves hands-on coding exercises and interactive problem-solving. An openness to practical, step-by-step learning and real-world application is key, as this course emphasizes a mix of theory and immediate implementation. By the end of this course, learners will have the skills to apply core principles of AI agent architecture, enabling them to design and implement a basic agent system. You'll gain the capability to construct an efficient development environment for building and testing your AI agents, facilitating smooth workflows and testing processes. Additionally, you’ll develop a fully functional AI agent using frameworks like LangChain or AutoGen and learn to evaluate and optimize its performance through advanced feature integration, enhancing your agent’s effectiveness and adaptability in real-world applications....

Top reviews

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1 - 9 of 9 Reviews for Implementation of GenAI Agents

By Srikanth A

•

Mar 10, 2025

conceptually very good to understand.

By Ian M

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Dec 24, 2025

Excellent!

By Harshit B

•

Dec 5, 2025

HBABGJAK

By Jarvis N

•

Jan 26, 2026

Simple and good briefing on the key steps of implementation of GenAI Agents.

By Rabi K S

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Jul 30, 2025

good for learning.

By Diego A G

•

Dec 29, 2025

.

By Pablo R

•

Nov 2, 2025

The course is a good start to understand an AI architecture. However, langchain libraries used in the examples are outdated, which brought me to a lot of troubles for making the code work.

By Brian W

•

Feb 6, 2026

The lab is out of date, and you have things marked as Optional that are not Optional. Your support staff told me that I need to complete them, even using 'test' data, to move on. That is not what OPTIONAL means.

By Carlos L

•

Dec 23, 2025

The optional points are not optional at all. I was unable to complete the course.