Tosheo.ai's AI courses teach one subject at a time through a personalised path of 10 to 15 minute lessons, each ending in a real work task marked against a visible rubric. Start with AI at work, then carry on into professional foundations in data science, machine learning, AI and blockchain, with an optional hands-on Code track in Python, SQL, AI APIs and agents.
This prompt engineering course teaches you to write prompts that get usable work from any AI assistant on the first or second try, and to check the result before anyone else sees it. It is built for managers, marketers, analysts, recruiters and anyone else who prompts as part of the job rather than as the job.
See the courseThis generative AI course explains what generative AI is, what it can and cannot do in your job, and how to use it without putting company data or your reputation at risk. It is a course in generative AI for beginners: no jargon assumed, and every lesson ends in a small task you try in a real tool.
See the courseThis agentic AI course teaches you to hand multi-step tasks to the agent features in mainstream AI tools, set safe limits, and review exactly what the agent did before you rely on it. It is an AI agents course for beginners and professionals who use these tools, starting without code. Optional Code lessons in Python teach you to build agents yourself with agent SDKs, tool calling and MCP.
See the courseThis AI automation course teaches you to find the repeated tasks in your week that are worth automating, design a no-code workflow with an AI step in the middle, and place human checks where mistakes would cost you. It is for professionals who run processes, not for engineers who build integrations.
See the courseThis ChatGPT course teaches you to use ChatGPT for real work: setting it up with instructions, keeping ongoing work in projects, working with uploaded files and spreadsheets, and checking every answer before you use it. It is ChatGPT training for professionals, built around tasks from your own role.
See the courseThis Claude course teaches you to use Anthropic's Claude for substantial work: reading and comparing long documents, keeping knowledge and instructions in projects, producing finished pieces as artifacts and checking cited web research. It is a Claude AI course for professionals, and it doubles as Claude training for teams that have chosen Claude as their assistant.
See the courseThis Microsoft Copilot course teaches you to use Copilot inside the apps you already work in, from Word and Excel to Outlook, Teams and PowerPoint, and to check what it produces before it goes anywhere. It is a practical Copilot course for staff whose organisation runs on Microsoft 365, with tasks matched to your role.
See the courseThis AI course for beginners takes you from never having used an AI tool at work to finishing real tasks with one, checking the result and knowing what you must never paste in. It suits office staff, managers and specialists of any role who want a calm, practical start rather than theory or hype.
See the courseThis AI literacy course teaches you how AI tools produce their answers, why they make mistakes, where bias and data risks come from, and how to question an AI system before you rely on it. It suits staff and managers who use AI or are affected by it, and organisations building AI literacy for their people.
See the courseThis data science course teaches working professionals to turn business questions into data questions, read descriptive statistics and charts, judge experiments and A/B tests, work well with analysts and use AI to explore data. It starts without code, with optional Code lessons in Python and SQL for hands-on analysis and machine learning. It is not a full-time bootcamp or a degree, and it will not prepare you for a data scientist job on its own.
See the courseThis data analytics course teaches you to take a messy business spreadsheet, clean it, summarise it, chart it and tell the story to colleagues, using AI assistants to speed up each step and checking every number before it goes anywhere. It is for professionals who work in Excel or Google Sheets. It starts without code, with optional Code lessons in SQL and Python; it does not cover BI engineering or database administration.
See the courseThis machine learning course explains how machine learning works, from training data to predictions and evaluation, so you can judge where it fits your business, brief a project and question the results. It is a machine learning course for beginners and managers that starts without code, with optional Code lessons in Python for training and evaluating simple models. It does not teach production deployment, and it is not a full-time bootcamp or a degree.
See the courseThis blockchain course teaches professionals how ledgers, consensus, smart contracts and tokens work, which business problems blockchain genuinely solves and how to weigh its limits and risks. It starts without code, with optional Code lessons in Solidity for writing simple smart contracts. It is not a full-time bootcamp or a degree, and it gives no cryptocurrency investment or trading advice.
See the courseThis AI for business course helps founders and managers of small and mid-size companies choose worthwhile AI use cases, weigh costs and risks, set a sensible policy, roll AI out to a team and measure whether people have the skills. It is about leading AI adoption without code; building AI products in code is taught in the optional Code track.
See the courseThis Python course takes you from never having written a line of code to writing small, tested scripts that clean a spreadsheet export, pull data from a web service and save you a repetitive weekly job. It is Python for beginners who work in offices, operations, finance, marketing or research, and it treats your job, not a textbook exercise, as the reason to learn Python.
See the courseThis vibe coding course teaches you to build small, useful software by describing it to AI coding tools, and then to check, test and secure what they produced before anyone relies on it. It is an AI coding course for professionals who want to make internal tools and prototypes, and it covers coding agents such as Claude Code and OpenAI Codex, AI editors and AI app builders.
See the courseThis AI engineering course teaches you to build small applications on top of AI model APIs: sending requests, getting reliable structured output, searching your own documents by meaning, answering from them with citations and proving the results are good enough to use. It works as an LLM course and a RAG course for people who already know basic Python and want to build AI apps responsibly.
See the courseThis course teaches you to build AI agents that do useful work and stop for a person when they should, first in no-code agent platforms and then, if you choose the Code track, in Python with tool calling, an official agent SDK and the Model Context Protocol. It is for professionals who want to know how to build AI agents properly: scoped, tested, permissioned and reviewed.
See the courseThis cybersecurity course teaches everyone at work to recognise phishing and AI-powered scams, secure their accounts with passkeys and multi-factor authentication, share files without leaking data and know what to do in the first hour of an incident. It works as cybersecurity awareness training for small and mid-size teams, with practical tasks instead of slides, and it includes securing the AI tools and agents people now use.
See the courseThis critical thinking course teaches you to check what AI tools and other sources tell you, spot weak arguments and misleading numbers, notice bias in the answer and in yourself, and make decisions you can explain. It is critical thinking training for professionals who now get a first draft of almost everything from an AI assistant and need to judge it quickly and fairly.
See the courseEvery subject starts without code. Lessons marked Code are an optional hands-on track.
12 lessons
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See the lessons ↗20 lessons · includes Code lessons
See the lessons ↗12 lessons
See the lessons ↗20 lessons · includes Code lessons
See the lessons ↗18 lessons · includes Code lessons
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See the lessons ↗12 lessons
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See the lessons ↗6 lessons
See the lessons ↗6 lessons
See the lessons ↗6 lessons
See the lessons ↗6 lessons
See the lessons ↗6 lessons
See the lessons ↗6 lessons
See the lessons ↗6 lessons
See the lessons ↗16 lessons · includes Code lessons
See the lessons ↗12 lessons · includes Code lessons
See the lessons ↗14 lessons · includes Code lessons
See the lessons ↗Every course begins with a short diagnostic, and the path you get afterwards depends on your answers, your role and your level. Someone who already writes solid prompts skips the basics; someone who has never opened an AI assistant starts there. Nobody sits through a fixed playlist of videos.
Each lesson has three parts: a short explanation, a worked example taken from your kind of job, and a hands-on task you complete in a real AI tool. Your answer is marked against a rubric you can see before you start, so you know what good looks like, and you get specific feedback on what to change. If a score looks wrong, you can flag it for review.
Start with the course that matches the work in front of you. If your company already pays for one assistant, the tool course for it (ChatGPT, Claude or Microsoft Copilot) gets you useful fastest. If you use several tools, the prompt engineering course teaches the habits that carry across all of them. If you are new to the subject, the generative AI course explains what these tools are, where they go wrong and how to keep data safe.
Once the basics are steady, the agentic AI and AI automation courses move from single prompts to multi-step work: handing a task to an agent and checking what it did, or joining AI steps into a no-code workflow with a person approving the output.
Prompt engineering course and generative AI course.
ChatGPT course, Claude course and Microsoft Copilot course.
Agentic AI course and AI automation course.
Optionally. Every subject starts with concepts and no-code practice: you learn the ideas, the vocabulary and the judgement needed to work alongside specialists and make sound decisions. An optional Code track then adds hands-on lessons in Python from zero, SQL, data science and machine learning in code, AI APIs and AI apps, agents built in code, AI-assisted coding and smart contracts. It is not a full-time bootcamp or a degree, and there is no job guarantee. Each path ends in a final practical assessment, and passing it earns a recognised certificate. It is not an accredited qualification.
You can take any course on the Individual plan, or invite colleagues on the Team plan so a manager can assign lessons and see skill progress. Every plan starts with a 7-day free trial, and no credit card is needed.
Each Tosheo.ai lesson takes 10 to 15 minutes and ends with a short hands-on task in a real AI tool, marked against a visible rubric.
Yes. Each path ends in a final practical assessment, and passing it earns a recognised certificate. It is not an accredited qualification.
No. The courses are written for working professionals, and every subject starts without code. Code lessons in Python, SQL, AI APIs and agents are optional and start from zero. It is not a full-time bootcamp.
Yes. Every Tosheo.ai plan starts with a 7-day free trial, and no credit card is needed to start it.
Explore role-specific lessons, practical tasks and the manager view.
