Learn AI.
Know where to start.
Discover courses, programs, tutorials, documentation and learning resources from the organizations and institutions teaching AI today.
Curated from leading technology companies, universities and AI institutions.
For organizationsTraining a whole team? That is our Learning & Development division.Start with strong foundations
Build an understanding of AI before deciding how deeply you want to go.
Discover top picks
A starting point for learning AI from trusted providers.
Google AI Essentials
A practical introduction to generative AI for people who want to use it well in everyday work. Five modules cover AI fundamentals, productivity with AI tools, prompting, responsible use and keeping current as the tools change.
Microsoft
Courses & training
- All levels
- Recommended
AI Learning Hub
A broad AI learning hub organised around roles and practical outcomes, spanning AI fundamentals, agents, Azure AI, Microsoft Copilot, data, development, security and AI leadership. The widest single starting point in the directory.
All levels · Learning path · Free
University of Helsinki
Courses & training
- Fundamental
- Recommended
Elements of AI
An accessible introduction to artificial intelligence built to give a general audience genuine conceptual understanding without requiring advanced technical knowledge. Free and available in many languages.
Fundamental · Course · Free
NVIDIA
Courses & training
- All levels
- Recommended
NVIDIA Deep Learning Institute
Technical training in deep learning, generative AI, data science and accelerated computing, from short self-paced courses to full instructor-led workshops. Some courses are free; others are paid.
All levels · Workshop · Free and paid
Selected by Nakoda as sensible places to begin. These are not ranked, sponsored or endorsed by the organizations that publish them.
Learning paths
Choose your AI path
Four routes through the catalogue, named for what you want to do rather than how advanced you are.
- EXPLORE13 resourcesI'm new to AIYou have heard AI matters and want to understand what it actually is before deciding how much of it you need.Start from zero — no technical background assumedWhat AI isHow models workEveryday usesLimitationsStart this route
- APPLICATION9 resourcesI want to use AI at workYou are comfortable with the idea of AI and want to get real work done with it — writing, research, analysis, admin.Practical skills — tools and judgment, not codePromptingResearch and draftingAnalysisAutomationResponsible useStart this route
- BUILD33 resourcesI want to build with AIYou write software or work with data, and you want to ship applications that use models, retrieval, tools and agents.Technical — programming experience expectedLLMs and APIsRAGAI agentsEvaluationDeploymentStart this route
- LEAD26 resourcesI want to lead AI adoptionYou are accountable for decisions about AI — strategy, investment, governance, or the people affected by it.Decision-level — depth without implementation detailAI strategyGovernanceRiskWorkforceEconomicsStart this route
By role
Learn AI for your work
Start with the work you already understand, then discover how AI can change it.
Select your role
AI for business leaders
All 24 resourcesYou are being asked to approve AI investment, absorb AI risk and answer for AI decisions — usually before anyone has explained the technology in terms a decision-maker can use.
For individuals
Learning on your own?
Pick a route by the outcome you need for your career: an examined certification, CPE hours for your professional body, or a free first step. Every link goes to the provider’s own page.
For organizations
Prefer this delivered to your team?
Everything above is self-serve — a resource you work through on your own, on the provider’s own site. If you’d rather someone taught it, Nakoda AI runs that training directly: capability that stays after the training ends.
By topic
Explore AI
Twelve subject areas, each counting what the catalogue currently holds.
- Artificial intelligence35 resourcesThe foundational concepts: what AI systems are, what they do and where they came from.
- Generative AI22 resourcesSystems that produce text, images, audio, video and code, and how they are used in practice.
- Large language models11 resourcesHow language models are trained, what they can do reliably and where they fail.
- Prompt engineering7 resourcesGetting consistent, useful output from a model, and knowing when the output is wrong.
- AI agents6 resourcesSystems that plan, call tools and act across multiple steps rather than answering once.
- Machine learning21 resourcesThe statistical foundations underneath modern AI — training, features, evaluation, generalisation.
- Computer vision8 resourcesModels that interpret images and video, and the applications built on them.
- Data and AI24 resourcesPreparing, governing and engineering the data that AI systems depend on.
- AI engineering23 resourcesBuilding, evaluating and operating AI features inside real software systems.
- Responsible AI21 resourcesBias, safety, privacy, security, transparency and the limits of what should be automated.
- AI productivity7 resourcesApplying AI to the ordinary work of research, writing, analysis and communication.
- AI leadership19 resourcesStrategy, adoption, governance and organisational change around AI.
United Arab Emirates
AI learning in the UAE
Universities, scholarships, internships and national programs supporting AI education in the UAE.
The UAE funds AI education directly — through universities built for it, national coding and internship programmes, and scholarships that cover study here and abroad.
Read the UAE Government source- Mohamed bin Zayed University of Artificial IntelligenceA UAE university dedicated to graduate-level artificial intelligence education and research, based in Abu Dhabi.
- Sorbonne University Abu DhabiThe Abu Dhabi campus of Sorbonne University, offering French-model degree programmes including technology and data subjects.
- Khalifa UniversityAn Abu Dhabi research university offering engineering and science degrees, including AI and computing specialisations.
- United Arab Emirates UniversityThe UAE's national university, based in Al Ain, with computing and AI-related degree programmes.
Names follow the UAE Government’s Learning Artificial Intelligence page. Intakes, eligibility and awards change between editions and are published by each program.
Providers
Learn from the organizations shaping AI
Technology companies, universities, institutes and UAE government bodies whose material is listed in this directory.
Technology company · 2 resources
AWS
Paid, examined AI certifications at practitioner and engineer level, each published alongside free preparation material.
See resources from AWSAI resources: Data and AI
23 of 61 resources match this selection. Clear selection
23 of 23 resources
Courses & training
- Essential
Machine Learning Crash Course
Google's own introduction to machine learning concepts, combining written explanation with interactive exercises. Assumes some programming comfort and is the usual bridge between AI literacy and AI engineering.
Essential · Course · Free
Courses & training
- All levels
Google Cloud Skills Boost
Google Cloud's training catalogue, including generative-AI and machine-learning paths built around hands-on labs in a real cloud environment. Contains both free and paid material.
All levels · Learning path · Free and paid
Certifications
- Professional
Professional Machine Learning Engineer
Google Cloud's senior machine-learning credential, earned by passing a paid proctored exam rather than by finishing a course. It examines designing, building and running ML systems in production on Google Cloud, and assumes the candidate has done that work.
Professional · Certificate · Paid
Microsoft
Courses & training
- All levels
Microsoft Learn training catalog
The full Microsoft Learn catalogue, filterable by role, product and level. Useful when you know the specific skill you are after and want to go straight to it.
All levels · Learning path · Free
Microsoft
Certifications
- Essential
Microsoft Applied Skills
Credentials awarded on a scenario-based assessment rather than a multiple-choice exam, aimed at demonstrating a specific technical skill rather than broad product knowledge.
Essential · Credential · See provider
Microsoft
Certifications
- All levels
Browse Microsoft credentials
The full directory of Microsoft certifications and credentials, including the AI and data ones. Start here to see what exists before committing to a preparation path.
All levels · Credential · See provider
NVIDIA
Courses & training
- All levels
- Recommended
NVIDIA Deep Learning Institute
Technical training in deep learning, generative AI, data science and accelerated computing, from short self-paced courses to full instructor-led workshops. Some courses are free; others are paid.
All levels · Workshop · Free and paid
AWS
Certifications
- Essential
AWS Certified Machine Learning Engineer - Associate
The engineering counterpart to the practitioner exam: building, deploying and maintaining machine-learning workloads on AWS. Paid and examined, and written for people who already do this work.
Essential · Certificate · Paid
ISACA
Certifications
- Professional
Advanced in AI Audit (AAIA)
An audit-side AI credential for assurance professionals who have to review an AI system rather than build one. It is earned by examination, and ISACA publishes its own eligibility and maintenance requirements — confirm those with ISACA before booking.
Professional · Credential · Paid
MIT
Academic programs
- All levels
MIT OpenCourseWare
MIT's course materials published openly, including its artificial-intelligence and machine-learning subjects. No enrolment, no credential — the teaching material itself, free.
All levels · University program · Free
Stanford University
Academic programs
- All levels
Stanford Online
Stanford's online catalogue, including artificial-intelligence and machine-learning courses and professional certificates. Mixes free course material with paid programmes.
All levels · University program · Free and paid
Stanford University
Courses & training
- Professional
CS229: Machine Learning
Stanford's graduate machine-learning course, with lecture notes and problem sets published openly. Mathematically demanding and still the reference treatment for the fundamentals.
Professional · Course · Free
Frequently asked questions
Start with a general introduction rather than a tool tutorial. Elements of AI from the University of Helsinki builds conceptual understanding with no technical background assumed, and Google AI Essentials covers practical use at work in under ten hours. Either one is enough to make the rest of this directory navigable.
Use the role section. Pick the role closest to your work and you get why AI matters there, what to learn first, the topics that apply, and a short list of external resources — rather than a general course that spends half its time on material irrelevant to you.
No — not for the majority of what is listed here. AI literacy, prompting, responsible use and applying AI to everyday work require no code at all. Programming becomes necessary only when you move into the Build route: models through an API, retrieval, agents and evaluation.
AI literacy is understanding what these systems do, where they fail and how to use them responsibly — the skill of judging output. AI engineering is building software on top of models: integrating them, grounding them in your own data, giving them tools, and measuring whether the result is good enough to ship. Most people need the first. Fewer need the second.
That is decided by your professional body, not by us, so the explorer reports only what the provider publishes. The CPE filter separates resources whose provider states that they carry continuing-education credit, resources that award nothing at all and so cannot be evidenced, and — the largest group — resources where the provider is silent. Alongside it, the Assessment filter shows whether a credential is earned by passing an exam or by completing the material, and the Issue date filter shows how recently the provider published the offering, which is what most reporting periods actually turn on. Where a provider publishes no credit claim we say so rather than assert eligibility on its behalf; take the provider's own page to your body if you need a ruling.
A substantial part of the catalogue. Use the Cost filter in the resource explorer and select Free to see them. We mark a resource free only where the provider publishes it at no cost; anything we could not confirm is shown as "See provider" rather than guessed at.
Both. Around half the catalogue is published free by the provider, and the rest includes paid certifications earned by examination — cloud and AI credentials from AWS, Microsoft and Google Cloud, audit and governance credentials from ISACA and the IAPP, and paid university and professional programmes. Use the Cost filter to separate them, and the Assessment filter if you specifically want something examined rather than awarded on completion. We never state a price: fees change, and the provider's own page is the only reliable place to read one.
Check who publishes it and go to their own site. Every link here points at the provider's official destination, never a mirror or a reseller, and the provider is named on every card. Beyond that: prefer material that states its level and prerequisites honestly, and be sceptical of anything promising expertise in a weekend.
Each entry carries the date Nakoda last reviewed it, shown on the resource card. Providers restructure their catalogues often, so if you find a link that has moved or a description that no longer matches, tell us and we will correct it.
No. Nakoda does not create, teach, host or accredit any of the learning listed here. Every course, programme, tutorial and credential belongs to the organisation that publishes it, and enrolment, payment, support and certification all happen with that organisation. Nakoda's work is discovery: finding what exists, describing it accurately and helping you get to the right one quickly.
Yes — separately from this directory. Everything above is curated from other organisations' public courses; this question is about the one thing on the page that Nakoda does teach. Nakoda's own Learning and Development practice runs live training directly for boards, teams and departments, built around your organisation's own tools and use cases rather than a generic deck. See the "For teams" section on this page, or get in touch to talk through what your organisation needs.
Your AI learning path starts here.
Tell us what you want to learn, and find the resources that fit your role, experience and goals.
Nakoda is a discovery and curation platform. External courses and programs are provided by their respective organizations. Listing a resource here is not an endorsement, and implies no partnership with, or accreditation by, the organization that publishes it.

