AR
The course is detailed and high quality, but unfortunately, it's outdated due to the latest version of Autogen. However, it's still useful for building a solid foundational understanding.

This specialization features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the specialization. In this specialization, you'll learn to build autonomous AI agents using LangGraph, Semantic Kernel, and AutoGen. You'll master AI agent architecture and create agents that process complex queries, maintain state, and integrate human feedback for decision-making. It begins with an introduction to AI agents, setting up your environment, and building your first agent using LangGraph. You’ll automate decision-making processes and work with complex queries through demos. You’ll explore Semantic Kernel SDK, integrating Large Language Models (LLMs) and generative AI into your applications. You'll learn to build intelligent agents and chat applications for business solutions. You'll develop and deploy multi-agent systems using AutoGen, exploring agent types, multi-agent conversations, human feedback integration, and advanced tools like sequential, nested, and group chats. Practical projects will help you apply these concepts to real-world scenarios. This specialization is designed for developers and AI enthusiasts with basic programming knowledge and is of intermediate difficulty. By the end, you will be able to build sophisticated AI agents using LangGraph, Semantic Kernel, and AutoGen, and apply generative AI to real-world challenges.

AR
The course is detailed and high quality, but unfortunately, it's outdated due to the latest version of Autogen. However, it's still useful for building a solid foundational understanding.
AS
excellent course with practical application and code showcased.
Showing: 14 of 14
it was really a nice session
Clear and concise
Usefull course
Good
good
good
good
NA
NA
very useful.
Good course
Hi Paulo, I have completed this course as it was a company learning requirement to reach a specific goal. I was familiar with LangChain and wished to learn LangGraph through a well thought out and comprehensive course. However, I could not find that here, hence I have rated it 2 stars (was considering rating it 1 star but the course is at least coherent and correct). You are enthusiastic and passionate about what you do, but the course itself is quite wanting and I would like to give some criticism so you may improve upon it in your future endeavors. I was completely new to LangGraph, and through this course I was not able to understand anything clearly. This is partly due to the hand wavy expressions where you highlight over the code and just read out certain things and give one sentence answers as to what they do, without explaining in depth the overall working of the functions or code you have written/the code's overall flow. This is also partly due to the fact that huge sections of code are just copy pasted in and then read out to me with very surface level commentary. A course should be more in depth, it should have that human factor of someone explaining it to me in an intuitive way rather than this. Maybe explain the code thoroughly, maybe write it down yourself, maybe provide more animations and diagrams side by side, maybe go through the code top to bottom multiple times, anything -- it is your course so I won't tell you how to do it, but I am just highlighting the shortcomings. In the middle of the course in fact I went and learnt LangGraph myself through documentation and when I came back the course clicked slightly better but these shortcomings were even more prevalent. For example for someone who is new to LangGraph, copy pasting the entire checkpointer code and explaining it with blanket statements makes it go entirely over their head. Lastly, this is kind of an oxymoron since I have kept saying that the course is hard to understand (although that is a completely different point), but the course is also way too basic. Maybe rename the course? It is named "Building Autonomous AI Agents with LangGraph", and I don't know if you named it misleading on purpose or not, but while this name is technically a good description, maybe "Beginner's Guide to LangGraph" or something similar would be much better worded, because you yourself throughout the course say that this is very basic and very surface level, and indeed the course's agents do not at all go into the depth and complexity and features which LangGraph provides. That is okay since you have mentioned it and say its a beginner's course, but it leaves me wondering why the title doesn't reflect that, are people supposed to find out it is a beginner's course after they pay for it? These are just some of the critiques I had. Thank you
explainations were not good
esta exageradamente difícil, nada amigable y la forma en la que te proporcionan la información no te permite aprender como debería de ser