Ready to build the next generation of AI applications? This specialization from IBM experts equips you with the skills to develop agentic AI systems using modern frameworks and workflow patterns. You’ll start with LangGraph, creating agents that support memory, iteration, conditional logic, and retrieval-augmented generation (Agentic RAG). Next, you’ll explore self-improving agents that use reflection and reasoning, and design multi-agent systems that collaborate through orchestration. With CrewAI, you’ll learn to structure agents, tasks, and tools into modular workflows that solve real-world problems. Finally, you’ll expand your toolkit with frameworks like AG2 (AutoGen) and BeeAI, applying them to cases such as question answering, summarization, and conversation-driven applications. You’ll also study design patterns like sequential and routing to make systems scalable and reliable. You will apply the concepts you’ve learned using hands-on labs to build Agentic systems powered by LLMs such as OpenAI GPT, Meta Llama, and IBM Granite. By the end of this program, you’ll be able to compare frameworks, apply AI design patterns, implement orchestration, and build AI systems that support multi-agent collaboration and advanced workflows. These are the sought-after skills that employers look for in Software Developers, Machine Learning Engineers, Data Scientists, and GenAI Engineers.
KL
The labs are excellent and the course lays out the basics perfectly
JJ
Good, Make it a little more clear on teaching the code and specific functions for agentic systems
RS
Excellent course. Covers practical example of Agentic AI with LanGraph , CrewAI , AutoGen and BeeAI. Course also includes Lab implementation of all concepts covered.
DP
It was made easy and lab launch added so much of hands-on knowledge. Only if you could make it available for life-time access.
TS
Great course with intro to agent & Muti agent.
HA
Langgraph design patterns were amazing and it was nice to explore other Agentic development frameworks also.
DY
Greate course . Helped me see more practical options when developing the Agentic workflow
OH
Great overview and the insight into the coding aspects was invaluable!
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!
RR
Great course on fundamentals. Good practical exercises.
KM
Gain good knowledge of concepts required to build Agentic AI system.
HD
This course exceeded my expectations and proved to be an outstanding investment in my professional development
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This course is a later course in the IBM RAG and Agentic series. The 12m intro lecture is a remarkable performance - one of the best I have encountered. None of the Skills Network labs are functioning. I plan to return to the course and retake it once it is published. In the meantime, plan to complete the requisite courses here on Coursera, BFP
Great course on fundamentals. Good practical exercises.
It was made easy and lab launch added so much of hands-on knowledge. Only if you could make it available for life-time access.
It provides enough general and specific knowledge to create complex AI Agents. A great entry point to Agentic AI
This course exceeded my expectations and proved to be an outstanding investment in my professional development
Greate course . Helped me see more practical options when developing the Agentic workflow
Excelente curso, con muchos recursos y bien explicado con profundidad.
The labs are excellent and the course lays out the basics perfectly
this course was very helpful for understanding AI Agents
Awesome for solid theory and ai usecases practicing!
Really useful and what I was expecting
Excelente en todo.
Excellent course
Excellent
Good
For context, I am a seasoned front-end developer. The first course is okay, but it took a while to understand what the labs were and how it all worked. One has to spend some time discovering it all out. By the third module I was happy that I was cruising through it. In itself the information is quite helpful if you're new to the concept of AI development.
A lot of helpful content here, but the code examples seem out of date. Many of them don't function properly, and many of the libraries used are "long deprecated" according to their docs. Seems like the course needs an update
It explore multiple ways to build and control Agents but doesn't include the current best benchmark information like using Cursor or OpenAI current agents
Great simple & easy course, but some Lab's code snippets had typos/issues ;)
GOOD