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NakodaAI

AI Education

Learn AI.
Know where to start.

Discover courses, programs, tutorials, documentation and learning resources from the organizations and institutions teaching AI today.

Explore learning pathsBrowse all resources

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.

01

AI fundamentals

Understand artificial intelligence, machine learning and the ideas behind modern AI systems.

Start learning35 resources
02

Generative AI

Learn how modern generative systems create text, images, code and other content.

Start learning22 resources
03

AI at work

Discover ways professionals use AI to research, write, analyze, create and automate everyday work.

Start learning6 resources
04

Responsible AI

Understand AI limitations, bias, safety, privacy, security and responsible use.

Start learning16 resources

Discover top picks

A starting point for learning AI from trusted providers.

Google

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.

CourseBeginnerUnder 10 hoursSee providerCertificate available
View resourceOfficial resource
  • Technical
  • Professionals

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

View resourceOfficial resource
Last checked
  • Students
  • Professionals

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

View resourceOfficial resource
Last checked
  • Technical
  • Professionals

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

View resourceOfficial resource
Last checked

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.

  1. 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 usesLimitations
    Start this route

    13 resources

  2. 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 use
    Start this route

    8 resources

  3. 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 agentsEvaluationDeployment
    Start this route

    33 resources

  4. 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 strategyGovernanceRiskWorkforceEconomics
    Start this route

    22 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.

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.

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.

Read the UAE Government source

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.

Featured

Start here if you're new to AI

One course that covers the ground most people need before deciding where to go next.

Google

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
View Google AI EssentialsOfficial resource
Last checked

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

  1. Module 1Introduction to AI
  2. Module 2Maximize Productivity With AI Tools
  3. Module 3Discover the Art of Prompt Engineering
  4. Module 4Use AI Responsibly
  5. 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.

Browse credentialed resources

Explore all AI resources

61 resources from 27 providers.

61 of 61 resources

Courses & trainingCertificationsAcademic programsReference
  • Professionals
  • Beginners

Google

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

View resourceOfficial resource
Last checked
  • Technical
  • Students

Google

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

View resourceOfficial resource
Last checked
  • Technical

Google

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

View resourceOfficial resource
Last checked
  • Technical
  • Professionals

Google

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

View resourceOfficial resource
Last checked
  • Technical
  • Professionals

Google

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

View resourceOfficial resource
Last checked
  • Technical
  • Professionals

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

View resourceOfficial resource
Last checked
  • Executives
  • Founders

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

View resourceOfficial resource
Last checked
  • Technical
  • Students

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

View resourceOfficial resource
Last checked
  • Technical
  • Professionals

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

View resourceOfficial resource
Last checked

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.