A hands-on introduction to AI, language models and ChatGPT built around one real task from your own work: clear instructions, useful context and reviewing what comes back.
Best for: Complete beginners who want to use AI at work this week, not just read about it.
Why I recommend it: The best starting point I have found if you have not yet used AI in everyday work: short, and it starts from a task you already know rather than generic examples.
A course about working with AI rather than about one tool: when to hand a task over, how to describe it precisely, how to judge the output and when the decision stays with you.
Best for: People who already use AI tools, get uneven results and want a repeatable method.
Why I recommend it: The most practical prompting course I have seen, because it teaches you to think through the task before you write the request, and it works with whichever tool you use.
Take a task you do repeatedly and turn it into a stable workflow: break it into steps, decide where AI fits and add review points before anything ships.
Best for: People past the experimenting stage who want to save real time every week.
Why I recommend it: This is where the real gains start: moving from one-off questions to a way of working you repeat. It is the step I see missing in most teams.
Four short courses in which you build your first Make scenario: connecting apps, mapping data between them, routing and filters, and how credits are used.
Best for: Anyone who wants to automate a repetitive task without code and learns best by building.
Why I recommend it: The clearest free way into automation I know: you learn how systems pass data to each other, and that logic stays useful even if you later switch tools.
A 17-module course covering digital marketing strategy, customers, content, search, social, email, video and measurement, with a full official Arabic version.
Best for: Marketers and business owners who want a structured foundation to build on.
Why I recommend it: The best free foundation in digital marketing, with an official Arabic version from Google. It is long, but you can start with the modules you need now.
Harvard's foundational course in computer science and programming: algorithmic thinking, then C, Python, SQL and web basics, through real problem sets and a final project.
Best for: People who want a real technical foundation before building digital products, even with no programming background.
Why I recommend it: The best serious starting point if you want to build: completely free and genuinely demanding, and it gives you understanding that quick tutorials do not. On its own it will not make you an engineer.
A Google tool that shows how interest in a topic or search term changes over time and across countries.
Best for: Checking demand before a campaign or product launch, and timing seasonal content.
Why I recommend it: The fastest way I know to test an idea against real data before spending on it; sometimes it is enough to stop an idea nobody is searching for.
A public library for searching the ads currently running across Meta technologies, by advertiser or keyword.
Best for: Studying competitors' ads and creative angles before you write your own campaign brief.
Why I recommend it: I look here before any paid campaign: you see what competitors actually run, how many ads they keep live and how they phrase the offer.
A Google research tool (formerly NotebookLM) that answers and summarises based on the files and sources you upload.
Best for: Digesting long reports and studies, preparing training material and answering from internal documents.
Why I recommend it: I recommend it because answers are grounded in your own sources and show where each point came from, which cuts down made-up answers in serious work.
Google's Arabic-language hub for the Middle East and North Africa, collecting free courses and tools in digital marketing, careers, productivity and AI.
Best for: Arabic-first learners, and NGOs training volunteers or beneficiaries.
Why I recommend it: Good, official, free learning in Arabic is rare, and this is one of the few sources: courses from Google itself, filterable by topic and length.
Turn your answers about who you serve and what makes you different into a written positioning document, plus a voice brief to paste into any AI tool before it writes for you.
Describe your ideal customer in five steps and get a printable persona card: goals, fears, objections with an answer for each, where to reach them, and content ideas for each stage.
Five short steps that turn your goal and budget into a clear ad plan: platforms and budget split, a two-week test, tracking, and what to fix before launch.
Write ad copy for each platform with live character counters and verified official limits, three ready copy frameworks, and a quick check before you publish.
A guided self-check of how ready your business is to be mentioned in ChatGPT, Gemini, Perplexity and Google's AI answers, with test questions and an llms.txt starter.
A short module on how large language models work, what makes a prompt effective and what "agents" actually are, with a small exercise and a knowledge check.
Best for: Anyone who wants the core vocabulary in under an hour before they start experimenting.
A broad, level-headed look at generative AI: how it works, where it helps in real work and what it changes for organisations, with real-world examples.
Best for: Managers and decision-makers who want the strategic picture before investing in tools or projects.
The same AI-collaboration method applied to small-business work: customer service, back office, supply chain and management, with a human kept in the loop.
Best for: Small-business owners and their teams who want disciplined use rather than random experiments.
An Arabic-language course on building an online presence for an existing business: planning, an online store, growing sales, reaching local customers and staying secure.
Best for: Shop owners and small businesses starting to sell or be found online (Arabic speakers).
A compact, well-structured ten-lesson course on building a digital marketing strategy: website and SEO, email, social and ads, ending in a certification.
Best for: People who want the whole picture in less time than the longer Google course.
A Harvard course for non-specialists on the technical ideas behind product decisions: cloud, networking, security, privacy, scalability and web technologies.
Best for: Managers, product managers and founders who work with developers and want to follow the technical conversation.
Applies the AI-collaboration method to the whole product cycle: what to delegate to the tool, how to describe what you want built, and how to review code and user experience before you stand behind it.
Best for: Developers, product people and makers building prototypes or products with AI help.
A practical method for prompts that produce usable results: objective, audience, context, inputs, constraints, format, quality criteria and iteration, plus a fillable prompt canvas.
Thirty reviewed prompt templates for strategy, research, copy, analysis and operations, each with variables, a sample input, what a good output looks like and an evaluation note.
A one-page brief that sets subject, composition, camera, light, materials, brand colours, references, text placement, aspect ratio and review criteria, with three completed briefs.
A practical system for keeping generated images close to your brand: a reference-board worksheet, a consistency checklist, a product and identity fidelity review, and three drift examples with fixes.
A template for planning a short video before any generation: audience, hook, message, duration, shot list, sound, transitions, reference assets and export needs, with a completed 30-second storyboard.
24 shot and camera-movement patterns, each with its intention, a copyable prompt structure, continuity notes and suitable uses, plus ready-made sequence recipes.
A practical review checklist for every AI-generated image or video: product fidelity, faces and hands, continuity, Arabic text, audio, permissions and export.
Nine stages for making a short AI video: brief, script, storyboard, generation, selection, editing, captions, review and delivery, with a full example.
A fill-in workbook for audience, goals, sitemap, journeys, content, features, data, integrations, accessibility and acceptance criteria, blank and completed.
A template for specifying a platform before building it: roles, permissions matrix, entities, workflows, states, MVP scope, risks and backlog, with an example.
What to check in AI-written code before merging: validation, authorisation, secrets, dependencies, errors, tests and deployment, with two annotated examples.
Report a bug and request a fix from a developer or AI tool: reproduction steps, expected vs actual, safe logs, environment, constraints, regression check.
An editable weighted scorecard that compares three tools on seven criteria, with privacy knock-out conditions, so you choose by your task rather than by hype.
A spreadsheet estimating net hours saved and monthly value for an AI-assisted task, counting review, rework and tool cost, and showing negative results.
A training-needs worksheet for before any workshop: skill baseline, three real tasks, available material, constraints, desired outputs, success criteria.
Eight checks before you spend the first dollar on an ad: offer, objective, audience, creative, landing page, tracking, budget assumptions and the go decision.
A monthly report linking objectives, channel results, spend and cost per result to interpretation, limits and next decisions, with a ready Excel sheet.
Forty scored items across eight areas: clarity, offer, proof, call to action, friction, mobile, accessibility and measurement, then a prioritised action list.
A fill-in workbook before you build: problem, user, alternatives, research, value, scope, validation and a first-release checklist, with a worked example.
A workbook from need to plan: target group, objectives, activities, resources, volunteers, risks, timeline and indicators, with a completed example initiative.
An intake form that collects only the minimum data, with the reason for each question, plus a role-matching worksheet and an orientation and supervision plan.
Fill in before a consultation: your situation, the decision you need, what you tried, evidence, constraints and questions, plus a tracker for acting on it after.