ML Engineering for the Generative AI Era

About Course
Purpose:
Prepare students and early-career engineers for the booming AI/ML job market by teaching real-world, production-ready generative AI skills.
Why It Matters:
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Traditional software engineering roles are declining, while AI roles are growing 21% per year.
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Huge talent gap: 4.2M AI jobs open vs. only 320K qualified engineers.
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Universities can’t keep pace with rapid AI innovation, leaving students unprepared.
Who It’s For:
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Aspiring AI/ML engineers looking for hands-on experience.
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Students wanting mentorship from industry experts.
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Anyone seeking to build a portfolio aligned with current AI hiring needs.
Key Outcomes:
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Build production-grade AI/ML projects: voice agents, LLM fine-tuning, RAG systems, summarizers.
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Gain experience with high-performance GPU infrastructure.
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Access mentorship from FAANG ML engineers and startup founders.
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Develop a portfolio and network that directly connect to hiring opportunities.
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Demo Day presentations to real recruiters and hiring managers.
Especially loved how you structured the entire focus area of dieting into most important ones to lesser ones.