Find FREE courses to help navigate AI adoption in the workplace.
We match your team with free, credible AI courses — from first steps to agents in production — and re-check the list every month.
Business matcher
Five courses per track. Start with adoption, move to agents in the workplace, and cover the ethics, privacy and security essentials everyone needs to know.
IBM
This course helps executives understand generative AI's capabilities, how it creates business value, and the importance of AI trust and transparency, with practical application to common business use cases.
Microsoft
This course helps business leaders prioritize AI use cases, unify data, modernize infrastructure with Azure, and implement governance for secure, scalable AI, enabling the use of Copilot and low-code tools to boost productivity.
Microsoft Learn
This module teaches how to design an enterprise AI strategy using Azure's Cloud Adoption Framework, aligning AI agent lifecycles with business goals for operational excellence.
Google Cloud Skills Boost
This introductory course explains what Generative AI is, how it is used, how it differs from traditional machine learning, and covers Google Tools for developing Gen AI apps.
This introductory course explains the capabilities of generative AI beyond chatbots, covering foundation models, prompt engineering, and strategic development for organizational use.
Free resources
The most valuable enterprise AI material is often a playbook, a standard or a vendor's own implementation library — not a course. All free, all published by the organisation named, no paywall and no sales call.
The people who build the frontier models publish free, business-facing training and guidance. This is the highest-signal material on the internet and most companies never find it.
Anthropic's own framework for working with AI well — built with academics, free to register, no code.
Nine lessons aimed squarely at owner-operated businesses rather than engineering teams.
Role-by-role guides for rolling Claude out across a team, including admin and security notes.
Free certificated tracks — AI Foundations upward — written for people applying AI at work.
What an agent is, where it fits in a real workflow, and where it should not be trusted.
The short read to circulate before you switch a team on. Data handling, review, disclosure.
Free, no-registration guidance from the enterprise platforms on how AI programmes actually get from pilot to production.
AWS's own reference architecture and operating model for gen-AI at company scale.
Written by Google Cloud's COO — how to pick the few use cases worth scaling.
Free Grow with Google training and templates for teams without an IT department.
IBM's free catalogue entry point, including the AI for Executives business-value course.
Free AI, data and security courses with digital credentials — genuinely free, no trial.
If you are asked how AI is governed here, these are the documents to answer with. Public standards, free to use, recognised by regulators and auditors.
The de facto reference for AI risk in enterprise governance. Free, voluntary, widely adopted.
The framework itself: govern, map, measure, manage. Lift the structure for your own policy.
Practical governance steps mapped to internationally agreed AI principles.
For companies
Most AI projects stall before they touch a real workflow. Run these six checks first, then send your team to the free courses that teach the rest.