RS
Excellent course. Covers practical example of Agentic AI with LanGraph , CrewAI , AutoGen and BeeAI. Course also includes Lab implementation of all concepts covered.

Learn to build intelligent, autonomous multi-agent systems using powerful frameworks that can plan, collaborate, and execute complex tasks. This course provides a structured approach to designing AI-powered systems using agentic design principles, orchestration strategies, and proven workflow patterns. You’ll explore popular frameworks such as LangGraph, CrewAI, BeeAI, and AG2 (formerly AutoGen), and learn how to select the right one for your needs. You’ll start with LangGraph, applying key design patterns such as sequential flows, routing, and parallelization to structure agent interactions. From there, you’ll move to CrewAI, where you’ll orchestrate agents, tasks, and tools, generate structured outputs using YAML and Pydantic, and extend capabilities with custom functions. Finally, you’ll explore BeeAI for orchestrating agents and workflows, and AG2 for creating multi-agent conversations and role-based collaboration. Through hands-on labs and real-world use cases, you will gain the skills needed to build scalable, maintainable, and efficient AI applications. Enroll today to gain cutting-edge agentic AI skills employers are looking for.

RS
Excellent course. Covers practical example of Agentic AI with LanGraph , CrewAI , AutoGen and BeeAI. Course also includes Lab implementation of all concepts covered.
HA
Langgraph design patterns were amazing and it was nice to explore other Agentic development frameworks also.
CA
A well paced and scoped "from zero to hero" curriculum; nice balance of theory and hands-on-aactiviies (both guided and independent); plus greaat cheat sheets you'll actually use!
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Great intro, lots of material. Unfortunately, a big downside for me (who learns by doing) is the lack of guided, truly hands-on labs. There are lots of labs, but in roughly 95% of them, all answers were provided, which meant you only execute code cells one after the others or copy-paste code. Too few cases where you were asked to write code, and in these cases there were no hints nor guidance to help you remember things, so you end up scrolling back up and copy-pasting again...
A well paced and scoped "from zero to hero" curriculum; nice balance of theory and hands-on-aactiviies (both guided and independent); plus greaat cheat sheets you'll actually use!
Excellent course. Covers practical example of Agentic AI with LanGraph , CrewAI , AutoGen and BeeAI. Course also includes Lab implementation of all concepts covered.
Langgraph design patterns were amazing and it was nice to explore other Agentic development frameworks also.
Great course. useful examples and good overview
Learned so much, heavily recommend!!
Amazing in depth and simple
very useful
Good course
Very good
Excellent
Excellent
wonderful
exellent
good
well explained
It’s like whoever made this course just got bored and gave up towards the end. The detailed worked examples and explanations of the code pretty much disappear in the last module. Most of it is AI generated, I suspect directly from the documentation as there is nothing here that you can’t access for free through the documentation. Perhaps this is why the detail is so varied for each framework? This is a shame because BeeAI is one of the more esoteric frameworks so it would have been good to have spent any amount of time on the detail (considering that this is an IBM course as well). The video content moves at the speed of light so you barely see the code anyway. In all fairness, I only watched the videos and did the readings in the course because I didn’t think the assignments were worth the time. Not worth the time or money unless you find the format particularly helpful.
Thanks
Starting to break. tutorial version dependencies not fixed versions.