18 Free AI Courses with Certificates

A four-week starting point built for people with no background at all, walking through core ideas, machine learning, neural networks and the popular generative tools, ending with a small project on bringing AI into a business.

Six modules covering the machinery underneath the tools you already use: natural language processing, computer vision, machine learning, and hands-on work in IBM Watson Studio.

A university-accredited course with more than 1.8 million students behind it. Part one covers the theory in plain language, part two moves into hands-on Python.

Ten modules pairing the basics with real applications across marketing, supply chain, consulting and negotiation. Practical, work-focused, free of jargon.

Sixty minutes, start to finish. Compares the everyday tools, shows where they fit across operations and communication, and hands you a few quick prompt-writing tips.

Built by Andrew Ng with OpenAI’s engineers. Work through API calls, system messaging, few-shot prompting and reasoning techniques in Python.

Amazon's own starter module covering generative AI concepts, the shape of foundation models, and how these things get deployed in the cloud.

Hands-on from the first minute — write neural networks and computer vision models straight in the browser using Python notebooks, no local setup required.

Short and interactive, built for non-developers who want to use generative AI tools safely and well across project management, finance and marketing roles.

Anthropic's own hub for learning to work with Claude: Claude.ai, Claude Code, Claude Cowork, and the Claude Platform (API/MCP), plus an AI Fluency framework course on collaborating with AI effectively and safely.

Breaks down the terminology, the data these models need, and where they genuinely fall short. Strategic focus: spotting the real problems in your organisation where AI earns its place.

Ten hours, taught by Google’s own specialists. Covers prompt structure, responsible use, and small daily wins like organising data and drafting emails.

A non-technical path for business leads who need to speak fluently about Gemini, Google AI Studio and NotebookLM without writing a line of code. Learning path is free; the 90-minute exam carries the fee.

Taught by Professor Jules White. Gets into prompt patterns, persona setups and structured reasoning — the one to take if you want a dependable work assistant.

A six-hour path through core ideas, ethics and practical workflow using Microsoft Copilot inside Word, Excel and Outlook.

Judgement, adaptability, communication and critical thinking — pairing human oversight with automated output. The part of the job the software will not do for you.

For managers and executives setting the direction: strategy, ethics and building AI literacy across a whole company rather than a single team.

The day-to-day companion course — team coaching, career conversations and building good collaborative habits with AI in the mix.