Learn the AI skills employers are hiring for
Five learning paths, from AI literacy for everyone to building and deploying AI agents — with all 19 courses free and available now. Every course is mapped to skills that major labour-market reports — LinkedIn, the World Economic Forum, PwC, Coursera, Lightcast and the Stanford AI Index — show are in demand right now.
Created with AI assistance and human review. How these courses were made →
AI Foundations
Understand what AI is, use generative AI well, and know when not to trust it. No technical background needed.
AI Literacy for Work
What AI can and can't do, the main types of AI, using AI tools safely with company data, and spotting risks — the essentials every employee needs.
Why now: UK employers name AI as the hardest skill to find for the first time, mainly AI literacy and confidence (ManpowerGroup 2026). The EU AI Act also requires organisations to support staff AI literacy.
0 of 6 modules complete
How AI and Large Language Models Work
A clear, non-mathematical tour of machine learning, neural networks, transformers, training data, tokens and why LLMs "hallucinate".
Why now: UK employers' single biggest AI skills gap is understanding AI concepts and algorithms (DSIT AI Labour Market Survey 2025). "Large Language Models" is a LinkedIn Skills on the Rise 2026 skill.
0 of 6 modules complete
Prompt Engineering & Working with Generative AI
Writing effective prompts, multimodal prompting with images and documents, building reusable prompt templates, and using GenAI for research, writing and analysis.
Why now: Prompt engineering is one of LinkedIn's fastest-growing skills for 2026. GenAI is the most in-demand skill in Coursera's history, with multimodal prompting and content creation rising fast.
0 of 6 modules complete
Critical Thinking: Checking and Validating AI Output
Fact-checking AI, spotting hallucinations and bias, verifying sources and code, and deciding when a human must make the call.
Why now: Critical-thinking enrolments grew 185% among GenAI learners as people shift to being expert validators of AI (Coursera 2026). PwC finds judgement is one of the human skills AI is making more valuable.
0 of 6 modules complete
Data & Machine Learning
The technical foundations underneath every AI system: Python, good data, machine learning and natural language processing.
Python for AI
Python from scratch with an AI focus: notebooks, pandas, calling AI model APIs, and working with JSON and text data.
Why now: Python is the most in-demand specialised skill in AI job postings — up nearly 30% in a year (Stanford AI Index 2026, via Lightcast).
0 of 6 modules complete
Data Quality & Preparation for AI
Cleaning, labelling and documenting data; spotting gaps and bias; data governance for training and testing sets.
Why now: Data quality (+108%) and data cleansing (+103%) are among the fastest-growing data skills (Coursera 2026). Representative, well-governed data is also a legal requirement for high-risk AI.
0 of 6 modules complete
Machine Learning Fundamentals
Supervised and unsupervised learning, model evaluation, overfitting, and building your first models with scikit-learn.
Why now: Jobs needing specialist AI skills such as machine learning grew 69%, against 9% for all jobs (PwC 2026). AI and machine learning specialists are among the WEF's fastest-growing jobs.
0 of 6 modules complete
Natural Language Processing Fundamentals
From text processing and embeddings to classification, information extraction and how transformers changed NLP.
Why now: Use of NLP in UK organisations has risen 34% in three years (DSIT AI Labour Market Survey 2025) — and it's the foundation of every LLM.
0 of 6 modules complete
Generative AI Engineering
Build, tune, evaluate and deploy real applications on large language models — including AI agents that take actions.
Building LLM Applications with RAG
Connecting LLMs to your own documents with retrieval-augmented generation: embeddings, vector search, chunking and grounding answers in sources.
Why now: AI engineering is among LinkedIn's fastest-growing skills worldwide for 2026.
0 of 6 modules complete
AI Agents & Agentic Workflows
Designing agents that plan, use tools and take actions; multi-step workflows; guardrails, human approval and failure handling.
Why now: Demand for agentic AI skills grew more than 280% in a year, to nearly 90,000 US job postings (Lightcast / Stanford AI Index 2026). 57% of UK organisations plan to adopt agentic AI within three years (DSIT 2025).
0 of 6 modules complete
Fine-tuning & Model Optimisation
When to fine-tune vs prompt vs RAG; parameter-efficient fine-tuning; preparing training data; making models smaller, faster and cheaper.
Why now: Model tuning sits alongside AI engineering and prompt engineering as one of the fastest-growing skills on LinkedIn in 2026.
0 of 6 modules complete
Evaluating & Deploying AI (LLMOps)
Testing LLM quality and safety, monitoring in production, cost and latency, and deploying on cloud platforms at scale.
Why now: Deployment skills — cloud (AWS), scalability and workflow management — show the fastest long-term growth in AI job postings (Stanford AI Index 2026, via Lightcast).
0 of 6 modules complete
Responsible AI & Governance
The law, the principles and the frameworks that make AI trustworthy — and the security risks that come with it.
Regulating AI: EU AI Act Fundamentals
Scope and roles, the four risk tiers, prohibited practices, high-risk obligations, transparency, general-purpose AI, enforcement and a compliance roadmap.
0 of 6 modules complete
Responsible AI Principles & Ethics
Fairness, transparency, accountability, privacy, safety and human agency — where they conflict, and how to work through ethical dilemmas in real projects.
Why now: Responsible AI is the bridge between what AI can do and what organisations can safely ship — and the foundation for every governance framework.
0 of 6 modules complete
AI Governance, Risk & Compliance
ISO/IEC 42001, the NIST AI Risk Management Framework, AI inventories, impact assessments, vendor due diligence and governance operating models.
Why now: Governance, risk management and compliance is one of LinkedIn's Skills on the Rise for 2026.
0 of 6 modules complete
AI Security & Safety
Prompt injection, data poisoning, model theft and leakage; red-teaming; securing AI agents and the data they touch.
Why now: Networks and cybersecurity is the second fastest-growing skill to 2030, after AI and big data (WEF Future of Jobs 2025).
0 of 6 modules complete
AI for Business & Leaders
Turn AI into business value: choosing the right use cases, building products, and leading people through change.
AI Business Strategy
Finding and prioritising use cases, build vs buy, measuring ROI, and an AI roadmap your board will back.
Why now: AI business strategy is one of LinkedIn's Skills on the Rise for 2026.
0 of 6 modules complete
AI Product Management
Designing AI features users trust: discovery, evaluation metrics, handling uncertainty in the UX, and shipping responsibly.
Why now: AI adoption is happening mostly inside existing jobs rather than new AI roles (Lightcast 2026) — product teams need to bring AI in safely.
0 of 6 modules complete
Leading AI Adoption & Change
Building AI skills across a team, redesigning work around AI, managing change and keeping people at the centre.
Why now: PwC finds AI is raising the value of human skills such as leadership, judgement and adaptability.
0 of 6 modules complete
Training for your team
Any of these courses can be delivered as a live workshop or a tailored programme for your organisation — from company-wide AI literacy to hands-on GenAI engineering.