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.
Introduction to Generative AI
Provider: Coursera
A short beginner course covering AI and machine learning basics, plus generative models like transformers, GANs, and diffusion models.
It also explores real-world applications and Google Cloud tools, with a shareable certificate upon completion.
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.
Machine Learning Specialization
Provider: Coursera
The Machine Learning Specialization on Coursera teaches core ML concepts like supervised and unsupervised learning.It offers hands-on Python practice and a shareable certificate upon completion.
Udacity’s Intro to Artificial Intelligence
Provider: Udacity
Taught by sebastian thrun and peter norvig two of the biggest names in AI.
covers search algorithms, machine learning, logic, and planning.
Artificial Intelligence: Principles and Techniques Stanford
Provider: Stanford Online
Stanford’s legendary cs221 course, focuses on the core ideas of building intelligent systems, from probabilistic reasoning to decision-making.
AI for Robotics Udacity
Provider: Georgina Tech
Earn how to program the brain of a self-driving car.
focuses on localization, planning, and control in robotics.
IBM's Data Science & Cognitive Computing Courses
Provider: Congnitive Class
Collection of beginner-to-advanced AI and ML courses.
designed for practical skills in AI-powered business and data science.
Elements of AI
Provider: Elements of AI.
Built by the university of helsinki and reaktor.
Over 1 million students have learned AI basics from this course, No prior coding knowledge required.
Artificial Intelligence
Provider: IntelliPaat
Covers machine learning, neural networks, NLP, and deep learning.
includes projects to apply AI concepts hands-on.
Building AI
Provider: Elements of AI.
A follow-up to elements of ai.
Teaches how to design real-world AI systems using problem framing and ML methods.
Microsoft AI School
Provider: Microsoft
Free learning paths covering computer vision, conversational AI, machine learning, and cognitive services.
I deal for developers who want to build AI apps.
Google’s no-nonsense intro
Provider: Google
Gemini for Google Workspace lets you collaborate with AI right from Gmail, Docs, Sheets, and more
Build Agents That Work, Practical, not theoretical.
Provider: OpenAI
This guide walks product and engineering teams through how to build LLM-powered agents, covering choice of use cases, design patterns, tools, guardrails, and best practices to deploy them safely and effectively.
Finding and Scaling Use Cases – A lens from OpenAI
Provider: Open AI
This guide helps organizations spot high-impact AI opportunities across workflows, train teams on foundational use-case patterns, and scale use cases using prioritization frameworks to maximize value.
Trust in AI – Deploy responsibly, especially in enterprise
Provider: Anthropic
This guide shows how enterprises can start, scale, and sustain trustworthy AI with real-world examples, best practices, and frameworks for strategy, governance, deployment, and security.
AI at Scale, OpenAI’s take on enterprise integration
Provider: Open AI
This guide presents key lessons from cutting-edge companies on how to adopt AI in the enterprise, covering evaluation, embedding into products, customization, developer enablement, and bold automation goals.
Agents Companion, Google’s toolkit for advanced builders
Provider: Kaggle
The Agent Companion whitepaper explores how interactive agents can assist data scientists and ML practitioners, automating routine tasks, easing experimentation, and improving productivity in AI workflows
Prompt Engineering, More signal, less guesswork
Provider: Lee Boonstra.
Prompt engineering is the iterative craft of designing inputs that guide large language models to produce accurate, meaningful outputs.
Midjourney course
Provider: Midjourney
Midjourney’s Getting Started Guide walks new users through subscribing, creating their first image via prompts, customizing settings, and engaging with the creative community
Google Veo-3 course
Provider: Google
The Google Veo-3 Course is the official guide to mastering Veo, Google’s top-of-market video generation model, covering best practices, prompt design, and real-world applications.
Using simple automation using n8n
Provider: YouTube / n8n
This n8n Beginner Course playlist guides new users through the fundamentals of using n8n, from setup to building workflows, with hands-on video tutorials