Learn from Leading ML Practitioners
Our program connects you directly with seasoned professionals who've built production systems at scale. Get personalized mentorship and real-world insights that textbooks can't provide.
Meet Your Expert Instructors
Our teaching team brings diverse experience from fintech, healthcare AI, and autonomous systems. Each instructor maintains active research projects while dedicating significant time to student development.
Marcus Chen
Senior ML Engineer, Former Tesla
Marcus spent six years developing computer vision systems for autonomous vehicles. He specializes in breaking down complex neural network architectures into digestible concepts. Students particularly appreciate his debugging workshops and code review sessions.
David Rodriguez
AI Research Lead, Healthcare Startup
David bridges academic research with practical application. His background in biomedical engineering gives him a unique perspective on data preprocessing and feature engineering. He runs weekly office hours for project troubleshooting.
Our Teaching Philosophy
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1
Diagnostic Assessment
We start by understanding your current skill level and learning preferences. Each student receives a personalized curriculum path based on their background and goals.
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2
Guided Practice
Work through real datasets with direct instructor oversight. Our mentors provide immediate feedback on your approach, helping you develop professional coding habits from day one.
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3
Independent Projects
Apply your skills to self-chosen projects while maintaining regular check-ins with your assigned mentor. This builds confidence and creates portfolio pieces.
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4
Professional Review
Present your work to industry professionals for critique and suggestions. These sessions simulate real workplace code reviews and technical discussions.
Next Cohort Information
Our September 2025 cohort will accept 18 students for optimal instructor attention. The program runs for eight months with flexible scheduling to accommodate working professionals.
Applications open: June 2025 | Program starts: September 15, 2025