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AI Engineer: Free Resources + Certificates (with Links)

Everything you need to become an AI Engineer — completely free. This sheet covers math foundations, Python, machine learning, deep learning, LLMs, and MLOps, with direct links to free certificates and the best YouTube playlists available.

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Free Certificates

Math & Foundations

• Khan Academy – Linear Algebra
• Khan Academy – Statistics & Probability
• Khan Academy – Calculus

Python & Programming

• freeCodeCamp – Scientific Computing with Python
• Kaggle Learn – Python, Pandas, Intro to ML, Intermediate ML
• Cisco – Python Essentials 1 & 2

Machine Learning / Deep Learning

• freeCodeCamp – Machine Learning with Python (free cert)
• Google – Machine Learning Crash Course
• HarvardX – CS50's Intro to AI with Python
• Elements of AI (free certificate)
• Microsoft Learn – Azure AI Fundamentals
• Microsoft Learn – AI Engineer Path
• IBM Cognitive Class – ML/DL
• Google Cloud Skills Boost – Generative AI Path

LLMs / Generative AI

• DeepLearning.AI Short Courses (free)
• Hugging Face – NLP Course
• Hugging Face – Agents Course

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YouTube Playlists

Math

• 3Blue1Brown – Essence of Linear Algebra
• 3Blue1Brown – Essence of Calculus
• StatQuest – Statistics Fundamentals

Python

• Corey Schafer – Python Tutorials
• freeCodeCamp – Python for Everybody (Dr. Chuck)

Machine Learning

• Stanford CS229 – Machine Learning (Andrew Ng)
• StatQuest – Machine Learning
• Krish Naik – Complete ML Playlist

Deep Learning

• 3Blue1Brown – Neural Networks
• Andrej Karpathy – Neural Networks: Zero to Hero
• MIT 6.S191 – Intro to Deep Learning

NLP / LLMs / Generative AI

• Stanford CS224N – NLP with Deep Learning
• Andrej Karpathy – Let's Build GPT from Scratch
• Krish Naik – Generative AI Playlist

MLOps / Deployment

• Krish Naik – MLOps Playlist

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Practice Platforms

• Kaggle — Competitions, datasets, and notebooks to sharpen your ML skills.
• Hugging Face Spaces — Deploy and explore AI demos built by the community.
• Google Colab (free GPU) — Run notebooks with free GPU access, no setup needed.
• GitHub — Build your portfolio, contribute to open source, and follow AI researchers.