Resources
Master AI in 2025 – Free Courses
Explore handpicked AI courses from top universities and companies.
No fees. No trials. Just learning.
Beginner-friendly | 100% Free | Updated for 2025
Google AI Courses
Provider: Google
Google offers 5 different courses to learn generative AI from the ground up.
Start with an Introduction to AI and finish having a solid understanding of AI as a whole.
Microsoft AI Course
Provider: Microsoft
Microsoft offers an AI course that covers the basics and then more.
Start off with an introduction and continue through learning about neural networks and deep learning.
Introduction to AI with Python
Provider: Harvard University.
Harvard University is offering a full 7-week course to explore the concepts and algorithms of AI.
Start with the technologies behind AI and end with knowledge of AI principles and machine learning libraries.
Prompt Engineering for ChatGPT
Provider: Vanderbilt University
This 6 module course by Vanderbilt University offers beginners a starting point to writing better prompts.
Start by learning effective prompting and complete the course knowing how to bend ChatGPT to your will.
Introduction to Responsible AI
Provider: Google
This microlearning course teaches you how Google builds responsible AI into its products from the ground up.
You'll also learn Google's 7 core AI principles that drive their innovation.
Create Image Captioning Models
Provider: Google
This course teaches you how to create an image captioning model by using deep learning.
Introduction to Generative AI
Provider: Google
Discover the basics of Generative AI and learn to build simple AI apps using Google tools all in just 45 minutes ! Perfect for beginners.
Attention Mechanism
Provider: Google
This course introduces the attention mechanism, which helps neural networks focus on specific input parts.
Introduction to Image Generation
Provider: Google
This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space.
Introduction to Generative AI and LLMs
Provider: Google
A beginner-friendly episode explaining how generative AI works, what large language models (LLMs) are, and why they’re important in modern applications.
Understanding Prompt Engineering Fundamentals
Provider: Google
A short, practical guide to designing better prompts for large language models, ideal for improving ChatGPT results.
AI Agents – Letting LLMs Take Action
Provider: Google
Introduces the concept of AI agents that use external tools and memory to perform tasks, the next frontier in AI automation.
ChatGPT Prompt Engineering for Devs
Provider: OpenAI + DeepLearning.ai
OpenAI in collab with DeepLearning is offering this course taught by Isa Fulford and Andrew Ng.
Start off with best practices and finish with a better understanding of prompting with hands-on practice.
LLMOps
Provider: Google Cloud + DeepLearning.ai
Google Cloud in collab with DeepLearning is offering this brand new course taught by Erwin Huizenga.
Go through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM.
Big Data, Artificial Intelligence, and Ethics
Provider: UC Davis
In this 4 module course, the University of California - Davis covers big data and introduces IBM's Watson.
Start by learning about big data opportunities and end knowing the limitations of AI.
AI Applications and Prompt Engineering
Provider: edX
edX has an introductory course on prompt engineering that goes beyond the basics.
Start by learning the basics and end knowing how to create your own applications.
Transformer Models and BERT Model
Provider: Google
Learn the basics of transformer models and how BERT powers modern NLP applications. Gain hands-on experience in fine-tuning BERT for tasks like classification and Q&A.
Introduction to Generative AI Studio
Provider: Google
In this course, you learn what Generative AI Studio is, its features and options, and how to use it by walking through demos of the product.
Introduction to Large Language Models
Provider: Google
Explore how large language models (LLMs) work and where they shine. In just 45 minutes, learn to build your own AI apps using LLMs!
Generative AI Fundamentals
Provider: Google
Introduction to Large Language Models and Introduction to Responsible AI courses.
Encoder-Decoder Architecture
Provider: Google
Learn about the Encoder-Decoder Architecture for tasks like machine translation and summarization.
Exploring and Comparing Different LLMs
Provider: Google
Learn about key differences between models like GPT, Claude, PaLM, and LLaMA, and how to choose the right one for your use case.
Building Low-Code AI Applications
Provider: Google
See how to quickly build AI-powered applications using tools like LangChain and Streamlit, with minimal coding.