I came into this course, curious about how agentic AI works, but also was a but overwhelmed. There is a lot of hype and talks about agents, and before this, most of my exposure was on surface level. I wasn’t sure how much it was practical or how it would fit into the kind if backend work I actually do.
The biggest learning for me was that agentic ai is less about “smart models “ but more about how systems are structured.Building this project forced me to think in terms of agents with clear responsibilities, orchestration between them and predictable outcomes. At first, setting up the environment and wiring things together felt frustrating, but working through those issues helped me understand how real agents systems are built, not just talked about.
I also appreciated learning about sessions and memory. Adding even a simple in-memory session made me realise how important state is in agentic systems, especially when you want behaviour to evolve across interactions rather than start from scratch every time.
Overall, this course helped me move from confusion to clarity. I’m now more confident in explaining what agentic AI actually is, how to design it responsibly, and where it makes sense to use it. More importantly, I feel capable of building these systems myself instead of just reading about them.