1. Machine Learning Specialization
Stanford/DeepLearning.AI (Coursera)
Andrew Ng, DeepLearning.AI
AIITE Certificate Program · Track 2 of 5
← All 5 tracks
Machine Learning Foundations
Core ML theory and math: how models learn, classic algorithms, the foundations everything else builds on. Complete every course below and submit a screenshot of each completion.
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7Courses in this track
Beginner–IntermediateSkill level
Certificate earnedAIITE Certificate of Completion in Machine Learning Foundations
Learning PathAIITE Certified AI Practitioner (given only when all tracks are completed)
Providers in this track
GoogleImperial College London (Coursera)Multiple educators (Coursera)Stanford/DeepLearning.AI (Coursera)University of Alberta (Coursera)University of Michigan (Coursera)Wharton (Coursera)
There are 7 courses in this track
2. Mathematics for Machine Learning Specialization
Imperial College London (Coursera)
David Dye, Imperial College London
3. Applied Machine Learning in Python
University of Michigan (Coursera)
Kevyn Collins-Thompson, University of Michigan
4. Machine Learning Crash Course
Machine learning, neural networks, and LLMs
5. Reinforcement Learning Specialization
University of Alberta (Coursera)
Adam White, University of Alberta
6. Real-World AI with Claude
Multiple educators (Coursera)
Anthropic and 1Password
7. Introduction to Programming with Python and Java Specialization
Wharton (Coursera)
Python, Java, data structures, and OOP
AIITE independently curates these learning resources and is not affiliated with, sponsored by, or endorsed by the listed providers unless expressly stated. Provider certificates and AIITE credentials are separate awards. AIITE issues certificates in this program after verifying the completion evidence you submit; this is not an independent AIITE examination of competency.