Two Weeks with Agentic AI: What I Learned and Why It Matters 9/27/25
- Michael He
- Sep 27
- 1 min read

Over the past two weeks, I completed two courses by Ed Donner: LLM Engineering: Master AI, Large Language Models & Agents and The Complete Agentic AI Engineering Course (2025). The experience was both enriching and thought-provoking.
My first impression? There’s just so much to learn. Every lesson revealed new blind spots in my understanding, reminding me how much I still don’t know. But I stuck with it, and even if I haven’t mastered everything, finishing the courses felt like a meaningful step forward.
The biggest takeaway, though, is that I’m no longer afraid of artificial intelligence. The courses broke things down clearly: at its core, AI is just a system made up of small, interconnected programs. “Intelligence” simply means letting AI participate in each of those micro-tasks. While the courses covered many frameworks, I came to realize that frameworks are essentially just ways to link these small programs together. If I can write each component well, the framework itself becomes less intimidating - and even optional.
There’s still a long road ahead, and plenty more to learn. But in an era where AI is rapidly permeating every aspect of life, the ability - and willingness - to learn is a gift. Learn while you can, and treasure the journey.



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