# 40+ Free Courses To Master Data Science, Machine Learning, MLOps, And Generative AI ⭐ **URL:** \ **Category:** Give-Away and Freebies\ **Tags:** tools, tips-tricks, data-recovery, ai\ **Created:** [July 26, 2025, 9:10pm UTC](https://onehack.st/t/40-free-courses-to-master-data-science-machine-learning-mlops-and-generative-ai/308941 "2025-07-26T21:10:58Z")\ **Posts on this page:** 5\ **Page:** 1
**Author:** ![Aina](https://onehack.st/user_avatar/onehack.st/aina/32/167469_2.png) [@Aina](https://onehack.st/u/Aina)\ **Post date:** [July 26, 2025, 9:10pm UTC](https://onehack.st/t/40-free-courses-to-master-data-science-machine-learning-mlops-and-generative-ai/308941/1 "2025-07-26T21:10:58Z")
40+ Free Courses To Master Data Science, Machine Learning, MLOps, And Generative AI ⭐ **Unlock a powerful collection of 40+ expertly curated free courses** – Explore 40+ top-tier, entirely **free courses** designed to help you **master data science, machine learning, MLOps, and generative AI** β€”from foundational theory to production-ready deployment. Curated from elite sources like Harvard, Google, DeepLearning.AI, and Hugging Face, this extended list is your gateway to upskilling in AI technologies without spending a dime. ![image](https://onehack.st/uploads/default/original/3X/7/d/7dea702e86f20ce72a6a93f0189aaf99c753dd2c.jpeg) * * * ### πŸ”Ή **1. Data Science & Analytics** - **[Data Science for Beginners](https://learn.microsoft.com/en-us/training/paths/data-science-beginner/)** – Microsoft - **[Harvard’s Data Science Professional Certificate](https://pll.harvard.edu/professional-certificate/data-science)** – edX - **[Data Science Methodology](https://www.coursera.org/learn/data-science-methodology)** – IBM - **[Data Science Math Skills](https://www.coursera.org/learn/datasciencemathskills)** – Duke - **[Applied Data Science](https://cognitiveclass.ai/learn/applied-data-science)** – IBM CognitiveClass * * * ### πŸ”Ή **2. Programming & Data Engineering** - **[Python for Data Science](https://www.ibm.com/training/learning-path/data-science)** – IBM - **[Introduction to Data Engineering](https://learn.microsoft.com/en-us/training/modules/introduction-to-data-engineering/)** – Microsoft - **[ETL and Data Pipelines](https://www.coursera.org/learn/etl-data-pipelines-shell-airflow-kafka)** – Coursera Project - **[Google Cloud Data Engineer Path](https://cloud.google.com/training/data-ml/roles/data-engineer)** – GCP - **[Data Engineering Zoomcamp](https://github.com/DataTalksClub/data-engineering-zoomcamp)** – DataTalksClub - **[Big Data Essentials](https://www.coursera.org/learn/big-data-essentials)** – Yandex - **[Intro to Data Engineering](https://www.datacamp.com/courses/introduction-to-data-engineering)** – DataCamp * * * ### πŸ”Ή **3. Machine Learning & AI Fundamentals** - **[Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course)** – Google - **[CS50’s AI with Python](https://cs50.harvard.edu/ai/2020/)** – Harvard - **[Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning-introduction)** – DeepLearning.AI - **[Intro to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120)** – Udacity - **[ML Zero to Hero](https://www.youtube.com/playlist?list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S)** – TensorFlow - **[Machine Learning with Python](https://cognitiveclass.ai/learn/machine-learning-with-python)** – IBM - **[Intro to ML](https://mlcourse.ai/)** – Open Machine Learning Course * * * ### πŸ”Ή **4. Deep Learning & Computer Vision** - **[Deep Learning Specialization](https://www.coursera.org/specializations/deep-learning)** – Andrew Ng - **[MIT Intro to Deep Learning](http://introtodeeplearning.com/)** – MIT - **[CS231n: CNNs for Visual Recognition](http://cs231n.stanford.edu/)** – Stanford - **[FastAI Deep Learning Course](https://course.fast.ai/)** – fast.ai - **[Fundamentals of Deep Learning](https://courses.nvidia.com/courses/course-v1:DLI+S-RX-02+V1/about)** – NVIDIA * * * ### πŸ”Ή **5. NLP & Transformers** - **[Hugging Face NLP Course](https://huggingface.co/learn/nlp-course/)** - **[ChatGPT Prompt Engineering](https://learn.deeplearning.ai/chatgpt-prompt-eng/)** – OpenAI & DeepLearning.AI - **[Transformers from Scratch](https://www.johnsnowlabs.com/academy/transformers-nlp-course/)** – John Snow Labs - **[NLP Specialization](https://www.coursera.org/specializations/natural-language-processing)** – DeepLearning.AI - **[Practical Deep Learning](https://course.fast.ai/)** – fast.ai - **[NLP Zoomcamp](https://github.com/DataTalksClub/nlp-course)** – DataTalksClub * * * ### πŸ”Ή **6. MLOps & Deployment** - **[MLOps Zoomcamp](https://github.com/DataTalksClub/mlops-zoomcamp)** - **[Full Stack Deep Learning](https://fullstackdeeplearning.com/)** - **[End-to-End ML with TensorFlow on GCP](https://www.coursera.org/learn/end-to-end-ml-tensorflow-gcp)** - **[Machine Learning Engineering for Production (MLOps)](https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops)** – DeepLearning.AI - **[Deploy ML Models with FastAPI](https://www.youtube.com/watch?v=0sOvCWFmrtA)** – Krish Naik * * * ### πŸ”Ή **7. Generative AI & Large Language Models** - **[LangChain: Chat with Your Data](https://learn.deeplearning.ai/langchain-chat-with-your-data/)** - **[Open LLM Bootcamp](https://www.activeloop.ai/open-llm-bootcamp/)** - **[Generative AI Pathway](https://cloud.google.com/training/generative-ai)** – Google Cloud - **[Intro to Generative AI](https://www.coursera.org/learn/introduction-generative-ai-google-cloud)** – GCP - **[Build with AI Hackathon](https://buildwithai.devpost.com/)** – Devpost - **[Fine-Tuning LLMs with LoRA](https://www.youtube.com/watch?v=x7k_G9r5jZ4)** – AssemblyAI * * * ### πŸ”Ή **8. Bonus Tools & Tech** - **[SQL for Data Science](https://www.coursera.org/learn/sql-for-data-science)** – UC Davis - **[Data Analysis with Python](https://www.freecodecamp.org/learn/data-analysis-with-python/)** – freeCodeCamp - **[Linux Command Line Basics](https://www.udacity.com/course/linux-command-line-basics--ud595)** – Udacity - **[Docker Essentials](https://www.coursera.org/learn/docker-essentials)** – IBM - **[Git & GitHub](https://lab.github.com/githubtraining/introduction-to-github)** – GitHub Labs - **[Kubernetes Basics](https://kubernetes.io/docs/tutorials/kubernetes-basics/)** – Kubernetes Docs * * * πŸ”“ With this **expanded mega list of 40+ expertly selected free courses** , you can go from **beginner to AI engineer** , data scientist, or MLOps professionalβ€”completely free. Every course is chosen for its **practicality, quality, and relevance in the real-world tech ecosystem**. Start with one course or build a custom roadmap based on your goals. ## ENJOY & HAPPY LEARNING! ❀ ---
**Author:** ![leejiacheng1](https://onehack.st/user_avatar/onehack.st/leejiacheng1/32/94426_2.png) [@leejiacheng1](https://onehack.st/u/leejiacheng1)\ **Post date:** [July 26, 2025, 11:41pm UTC](https://onehack.st/t/40-free-courses-to-master-data-science-machine-learning-mlops-and-generative-ai/308941/2 "2025-07-26T23:41:41Z")
Nice share, thanks πŸ‘ ---
**Author:** ![Andika\_383](https://onehack.st/user_avatar/onehack.st/andika_383/32/27368_2.png) [@Andika\_383](https://onehack.st/u/Andika_383)\ **Post date:** [July 27, 2025, 12:27am UTC](https://onehack.st/t/40-free-courses-to-master-data-science-machine-learning-mlops-and-generative-ai/308941/3 "2025-07-27T00:27:14Z")
Thank’s Sam. ---
**Author:** ![Stick\_Chick](https://onehack.st/user_avatar/onehack.st/stick_chick/32/154033_2.png) [@Stick\_Chick](https://onehack.st/u/Stick_Chick)\ **Post date:** [January 28, 2026, 6:32pm UTC](https://onehack.st/t/40-free-courses-to-master-data-science-machine-learning-mlops-and-generative-ai/308941/4 "2026-01-28T18:32:33Z")
This course **[Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning-introduction)** – DeepLearning.AI isnt free. Is there any way I can get it? ---
**Author:** ![Daddyboy\_Israel](https://onehack.st/user_avatar/onehack.st/daddyboy_israel/32/33621_2.png) [@Daddyboy\_Israel](https://onehack.st/u/Daddyboy_Israel)\ **Post date:** [January 29, 2026, 6:40am UTC](https://onehack.st/t/40-free-courses-to-master-data-science-machine-learning-mlops-and-generative-ai/308941/5 "2026-01-29T06:40:42Z")
Thanks for the share. Unfortunately most courses can’t be access as pages not found.