From Early Adopter to AI Instructor: Teaching 500 Engineers to Build with LLMs
The article chronicles the author's journey from an early ChatGPT adopter to becoming an AI instructor, teaching nearly 500 engineers how to build with large language models (LLMs).
Why it matters
This article highlights the importance of early adoption and education in driving AI adoption within organizations.
Key Points
- 1The author started experimenting with ChatGPT immediately after its launch and found it valuable for code review and learning
- 2As the author became more vocal about the potential of AI tools, the company leadership got on board and asked the author to do a live-coding demo
- 3The author built and taught an AI training program that scaled to three classes per week, reaching nearly 500 engineers
- 4The author recognized the importance of the
- 5 mentality - helping people see AI as a tool to supercharge their abilities, not replace their jobs
Details
The article describes the author's experience as an early adopter of ChatGPT, using it for code review and learning. As the author became more vocal about the potential of AI tools, the company leadership got on board and asked the author to do a live-coding demo, which changed the conversation. The author then volunteered to build and teach an AI training program, which started with one director's team and grew to institutional training for nearly 500 people. The author recognized the importance of the
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