Ultimate AI Engineering Roadmap: From Beginner to Expert 🚀

Top Pick AI Engineering Course: https://datacamp.pxf.io/K0QgYy

This is a complete zero to hero AI Engineering roadmap. It has all the resources to get the skills to become an AI Engineer in 2025 or 2026 and get a job in a top tier tech company. This includes my experience of over 6+ years in companies like DoorDash, Google, ZS.

Book 1:1 mentoring sessions: https://topmate.io/jash_radia
LinkedIn: https://www.linkedin.com/in/jashradia/
Instagram: https://www.instagram.com/jash.radia/

Foundations:
Linear Algebra: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Calculus: https://www.geeksforgeeks.org/machine-learning/calculus-for-machine-learning-key-concepts-and-applications/
Probability and Statistics: https://oli.cmu.edu/courses/probability-statistics-open-free/
Python book: https://automatetheboringstuff.com/
Python course: https://datacamp.pxf.io/Dy4BMa
SQL free: https://sqlbolt.com/
SQL course: https://datacamp.pxf.io/Qjk0xx
DSA: https://roadmap.sh/datastructures-and-algorithms

AI/ML Toolbox:
Classical ML: https://scikit-learn.org/stable/user_guide.html
Deep Learning TensorFlow: https://www.tensorflow.org/tutorials
Deep Learning PyTorch: https://docs.pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html
Prompt Engineering: https://learn.deeplearning.ai/courses/chatgpt-prompt-eng

Generative AI:
AI Track for engineers (SWE, DE, etc.): https://datacamp.pxf.io/K0QgYy
AI Track for data scientists (DS, DA, etc): https://datacamp.pxf.io/zxJRDW

MLOps:
Docker and Kubernetes: https://www.freecodecamp.org/news/learn-docker-and-kubernetes-hands-on-course/
AWS Basic Course: https://www.udemy.com/course/aws-certified-solutions-architect-associate-saa-c03
Azure Basic Course: https://www.udemy.com/course/70532-azure/
GCP Basic Course: https://www.udemy.com/course/google-cloud-certification-associate-cloud-engineer/
Kubeflow (alternative: Tensorflow Extended): https://www.kubeflow.org/docs/started/introduction/

Mastery/Projects:
Transformers: https://poloclub.github.io/transformer-explainer/
Huggingface LLM course: https://huggingface.co/learn/llm-course/en/chapter1/1
Projects (Just for inspiration, don't copy)
https://github.com/datastax/wikichat
https://datacamp.pxf.io/EE42YQ
https://datacamp.pxf.io/bOn5rb
https://www.deeplearning.ai/short-courses/langchain-for-llm-application-development/

#ai #aiengineering #learning

0:00 Intro and Overview
1:48 Foundations
4:48 AI/ML Basics
7:07 Generative AI (LLMs, Agents and More)
8:41 MLOps, Cloud and More
10:59 Advanced and Projects