God Tier Ai Engineering Roadmap

Top Pick AI Engineering Course: https://datacamp.pxf.io/n44WRM. . 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