Super Data Science: ML & AI Podcast with Jon Krohn 917: 8 Steps to Becoming an AI Engineer, with Kirill Eremenko
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Aug 26, 2025 Kirill Eremenko, Founder of SuperDataScience, shares insights from his innovative AI engineering bootcamp. He outlines the curriculum's key topics, spanning from foundational Python skills to advanced AI system deployment. Kirill reveals how to utilize AI for business impact and explains the transformation of concepts into practical applications. He also discusses the importance of mindset shifts for AI engineers and highlights the role of employer sponsorship in education, providing a roadmap for aspiring tech educators.
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Explore LLMs Early
- Compare many LLMs and test chat versus reasoning models in week one.
- Play with API calls and establish benchmarks specific to your business.
Design Agent Behavior Early
- Build a simple LLM app and iterate on its system prompt and output parsing.
- Use Gradio for a quick UI and start with a small project like a flight assistant.
Build RAG Foundations
- Implement a full RAG pipeline: chunking, embeddings, vector DBs, and retrieval chains.
- Use smart, overlapping, context-aware chunking to avoid missed answers.
