AI Engineering Fundamentals
Understand the AI Engineer role and how to land it
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Tue Feb 24·4:00 PM UTC
Defining the AI Engineer Role
The AI field is evolving so fast that job titles are often inconsistent. By analyzing 1500+ roles and community insights, this lesson cuts through the hype to show you exactly what companies are hiring for right now. You will gain clarity on your career path, ensuring your skills align with market demand so you can transition from simply "using AI" to building professional-grade AI products.
You'll learn from
Alexey Grigorev
Principal Data Scientist | Book Author | Instructor to 100k+ Students World-Wide
Tue Mar 3·4:00 PM UTC
AI Engineering: The Interview Process
The AI interview landscape is now a "wild west" blending traditional software engineering with niche machine learning concepts. By studying real stories from platforms like Reddit and X, you eliminate the fear of the unknown. This prepares you for the professional reality of technical screenings, helping you grow from a candidate who knows AI into a professional who can prove it under pressure.
You'll learn from
Alexey Grigorev
Principal Data Scientist | Book Author | Instructor to 100k+ Students World-Wide
Mon Mar 9·5:00 PM UTC
AI Engineering Take-Home Assignments
The take-home assignment is where your ability to build production-ready systems is truly measured. By analyzing data from recent hiring cycles in late 2025 and early 2026, you’ll see what top-tier companies expect. You’ll move beyond understanding what is asked to mastering how it’s done, through deep discussion and a full end-to-end implementation of a complex document processing challenge.
You'll learn from
Alexey Grigorev
Principal Data Scientist | Book Author | Instructor to 100k+ Students World-Wide