AI Education
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. Prefer it delivered to your team?
61
Curated AI resources
Each one reviewed and summarised by Nakoda before it is listed.
27
Learning providers
Technology companies, universities, institutes and UAE government bodies.
25
Free resources
Counted only where the provider publishes the material at no cost.
11
Professional learning paths
One route through the catalogue for each role we cover.
Start with strong foundations
Build an understanding of AI before deciding how deeply you want to go.
AI fundamentals
Understand artificial intelligence, machine learning and the ideas behind modern AI systems.
Generative AI
Learn how modern generative systems create text, images, code and other content.
AI at work
Discover ways professionals use AI to research, write, analyze, create and automate everyday work.
Responsible AI
Understand AI limitations, bias, safety, privacy, security and responsible use.
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
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.
Multiple levels · Learning path · Free
University of Helsinki
Courses & training
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.
Beginner · Course · Free
NVIDIA
Courses & training
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.
Multiple 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.
- EXPLORE
I'm new to AI
You 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 assumed
What AI isHow models workEveryday usesLimitationsStart this route13 resources
- APPLICATION
I want to use AI at work
You 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 code
PromptingResearch and draftingAnalysisAutomationResponsible useStart this route8 resources
- BUILD
I want to build with AI
You write software or work with data, and you want to ship applications that use models, retrieval, tools and agents.
Technical — programming experience expected
LLMs and APIsRAGAI agentsEvaluationDeploymentStart this route33 resources
- LEAD
I want to lead AI adoption
You are accountable for decisions about AI — strategy, investment, governance, or the people affected by it.
Decision-level — depth without implementation detail
AI strategyGovernanceRiskWorkforceEconomicsStart this route22 resources
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
You 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.
Start here
Build a working mental model of what AI systems can and cannot do reliably, then move to strategy, governance and the organisational change that adoption actually requires.
Then explore
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 intelligenceThe foundational concepts: what AI systems are, what they do and where they came from.35 resources
- Generative AISystems that produce text, images, audio, video and code, and how they are used in practice.22 resources
- Large language modelsHow language models are trained, what they can do reliably and where they fail.11 resources
- Prompt engineeringGetting consistent, useful output from a model, and knowing when the output is wrong.7 resources
- AI agentsSystems that plan, call tools and act across multiple steps rather than answering once.5 resources
- Machine learningThe statistical foundations underneath modern AI — training, features, evaluation, generalisation.21 resources
- Computer visionModels that interpret images and video, and the applications built on them.8 resources
- Data and AIPreparing, governing and engineering the data that AI systems depend on.23 resources
- AI engineeringBuilding, evaluating and operating AI features inside real software systems.23 resources
- Responsible AIBias, safety, privacy, security, transparency and the limits of what should be automated.16 resources
- AI productivityApplying AI to the ordinary work of research, writing, analysis and communication.6 resources
- AI leadershipStrategy, adoption, governance and organisational change around AI.16 resources
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. Most of it is open to residents and, in several cases, to applicants from outside the country.
Universities
- 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.
Programs and opportunities
- National Program for CodersA UAE initiative focused on developing digital talent, coding skills, expertise and innovation as part of the country's digital economy.
- UAE Artificial Intelligence Internship ProgramA UAE initiative designed to help develop AI and technology skills through practical experience and training opportunities.Cohort details and application windows are announced by the programme and change between editions.
- UAE AI Summer CampA UAE initiative supporting AI knowledge transfer, technology adoption and the development of future-oriented skills.Announced through official UAE Government channels. Current editions and dates are published on the UAE Government's Learning Artificial Intelligence page.
Scholarships
- TDRA / BETHA ProgramScholarship support for ICT-related education at prestigious UAE and international universities, administered through TDRA's ICT Fund.Eligibility, deadlines and covered institutions are published by TDRA.
- MBZUAI scholarshipsScholarship opportunities associated with eligible full-time study at MBZUAI.Requirements and what each award covers are published by the university.
Program names, institutions and destinations in this section follow the UAE Government’s Learning Artificial Intelligence page. Intakes, eligibility and award details change between editions and are published by each program directly.
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 AWSFeatured
Start here if you're new to AI
One course that covers the ground most people need before deciding where to go next.
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.
- Level
- Beginner
- Duration
- Under 10 hours
- Modules
- 5
- Format
- Online, self-paced
- Certificate
- Available on completion
- Assessment
- Awarded on completion
- CPE
- Not stated by provider
- Cost
- See provider
- Issue date
- Not published by provider
- Language
- English
Published and taught by Google. Nakoda does not run this course.
What to expect
No experience required
Written for people starting from zero, with no prior background assumed.
Under 10 hours
The length the provider publishes for this resource.
5 modules
As broken down by the provider.
Online, self-paced
A certificate is available on completion, awarded by the provider.
What you practise
Generative AI
Systems that produce text, images, audio, video and code, and how they are used in practice.
AI productivity
Applying AI to the ordinary work of research, writing, analysis and communication.
Prompt engineering
Getting consistent, useful output from a model, and knowing when the output is wrong.
Module breakdown
- Module 1Introduction to AI
- Module 2Maximize Productivity With AI Tools
- Module 3Discover the Art of Prompt Engineering
- Module 4Use AI Responsibly
- Module 5Stay Ahead of the AI Curve
Curriculum as published by Google.
Build skills you can demonstrate
38 of the 61 resources in the catalogue lead to a certificate, credential or applied assessment — including Google certificates, Microsoft credentials and Applied Skills, and university programmes. Many excellent resources lead to nothing you can put on a CV, and that is not a mark against them. Awarding, assessment and recognition are entirely the responsibility of the issuing organization.
Explore all AI resources
61 resources from 27 providers.
61 of 61 resources
Courses & training
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.
Beginner · Under 10 hours · See provider
Courses & training
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.
Intermediate · Course · Free
Reference
Google AI for Developers
First-party documentation for building with Google's Gemini models — API reference, prompting guidance and worked examples. The authoritative reference rather than a taught course.
Intermediate · Documentation · Free
Courses & training
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.
Multiple levels · Learning path · Free and paid
Certifications
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.
Advanced · Certificate · Paid
Microsoft
Courses & training
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.
Multiple levels · Learning path · Free
Microsoft
Courses & training
Transform your business with AI
An introduction to AI written for business users rather than engineers, covering what the technology does and how organisations put it to work.
Beginner · Learning path · Free
Microsoft
Courses & training
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.
Multiple levels · Learning path · Free
Microsoft
Certifications
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.
Intermediate · Credential · See provider
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

