About
Learn to use AI for practical everyday tasks, then build more reliable workflows for research, content and projects. This self-paced course takes you from beginner foundations to advanced everyday use, with worked examples, exercises and completion checks. Who this course is for The course is designed for beginners, independent learners and people who want to use AI in everyday work or a small business. You do not need coding experience. The learning pathway is designed around free tools; paid upgrades are not required. What you will practise • Write clear prompts and improve an answer through review and refinement. • Organise information, create visuals with Canva and plan website content. • Map a simple automation and build reusable prompt workflows. • Research with verifiable sources and check calculations and data. • Produce a consistent content pack and plan a knowledge assistant. • Evaluate quality, risk, time and cost before relying on an AI output. Your course pathway Start Here — Course Guide, Tools and Learning Plan: choose your tools and organise your study. Foundation — Lessons 1–7: understand AI, write better prompts, tackle everyday tasks, explore Canva, plan a website page, map simple automation and complete your first AI project. Advanced — Lessons 8–13: build tested prompt workflows, research with evidence, analyse data, create a consistent content and website pack, build a knowledge assistant workflow and evaluate its results. Final Project and Assessment — Lesson 14: build, test and present a capstone workflow, assemble your portfolio and complete the knowledge assessment. Try a sample: ask, review, refine, decide Lesson 1 introduces this four-step approach to AI. Start with a small task: “I have five things I need to get done this week. Help me organise them into a realistic plan.” Review the answer for missing information and unrealistic assumptions. Give the AI a clearer time limit or priority, ask for a revision, then decide what to use. Use made-up or non-sensitive examples while practising. How you will learn Each lesson combines teaching, a worked example, a practical exercise and a completion check with answer guidance. Allow roughly 20–30 hours in total, at your own pace. There are 16 steps, including the course guide, foundation and advanced lessons, the capstone and final knowledge assessment. The capstone uses a clear 100-point self-assessment rubric. Practical questions Do I need technical experience? No coding background is required; the focus is on practical use of everyday AI tools. Do I need a paid AI subscription? No paid tools are required for the intended learning pathway. Is this an accredited qualification? No. It develops practical skills and portfolio evidence; it is not an accredited qualification or AI engineering training. Is there a subscription or a fixed timetable? The course has a one-off payment at the price shown, and you study at your own pace.
You can also join this program via the mobile app. Go to the app