We are releasing a series of videos for AI beginners, all the way to Expert levels.
Train a specific level, or start from video 1 all the way to 50 to become a serious AI pro.
We will be adding new videos all the time, all the way up to level 50 and then beyond for specific tools for you to master.
Level 1 - AI Beginner
Episodes 1-10: “I understand AI.”
Watch videos 1-10 = LEVEL UNLOCKED: AI USER 🟢
Level 2 - Prompting
Episodes 11–20: “I can communicate properly with AI.”
Watch videos 1-20 = LEVEL UNLOCKED: AI POWER USER 🔵
Level 3 - AI at Work
Episodes 21–30: “I can use AI for real-world work.”
Watch videos 1-30 = LEVEL UNLOCKED: AI PROFESSIONAL 🟣
Level 4 - AI Builder
Episodes 31–40: “I can build AI systems.”
Watch videos 1-40: LEVEL UNLOCKED: AI BUILDER 🟠
Level 5 - AI Pro
Episodes 41–50: “I understand what's happening underneath.”
Watch videos 1-50: 🎓 AI PRO - GRADUATED
LEVEL 1 - AI BEGINNER
Episodes 1-10: “I understand AI.”
| Ep | Episode | 5-minute Videos |
|---|---|---|
| 1 | What Actually Is AI? |
Explains AI, generative AI and LLMs without technical jargon. Explains that it predicts/generates rather than “knows everything.” Link to course video: https://www.youtube.com/watch?v=L2PQyiOh7qE Link to Full Article: https://www.aiassistantstore.com/blogs/blog/what-actually-is-ai |
| 2 | ChatGPT, Claude, Gemini etc. - What's the Difference? |
Explains models vs AI apps. Compares the same simple question across a few assistants. Teaches that there isn't one “best AI.” Link to course video: |
| 3 | Your First Proper AI Prompt | Bad: “write me an email.” Better: purpose + context + audience + desired result. |
| 4 | The 4 Parts of a Great Prompt | Teaches Task + Context + Constraints + Output. Gives viewers a simple reusable framework. |
| 5 | Stop Treating AI Like Google | Teaches conversations and follow-up instructions. Shows how an average first answer becomes excellent through iteration. |
| 6 | Why AI Sometimes Makes Things Up | Hallucinations. Shows believable incorrect answers. Teach “verify important facts” from day one. |
| 7 | AI Knowledge vs Internet Search | Explains when the model's existing knowledge is enough and when current web research/search is necessary. |
| 8 | What You Should NEVER Put Into AI | Passwords, confidential customer information, commercially sensitive data, private information. Introduce data/privacy awareness. |
| 9 | AI Can See, Hear and Read | Introduces multimodal AI: images, screenshots, documents, voice and audio. Do a quick screenshot/image example. |
| 10 | Beginner Challenge: Make AI Do Real Work | Gives you a messy page of notes and have AI turn it into a summary, email, action list and plan. Recap Episodes 1-9. |
LEVEL 2 - PROMPTING
Episodes 11-20: “I can communicate properly with AI.”
| Ep | Episode | 5-minute Videos |
|---|---|---|
| 11 | Context Is AI's Superpower | Demonstrates the same request with almost no context versus rich background information. |
| 12 | Give AI Examples | Teaches example-based prompting. “Write three more like these.” Shows how examples control style far better than vague instructions. |
| 13 | Control the Answer With Constraints | Length, audience, reading level, exclusions, tone, deadline, budget and other boundaries. |
| 14 | Make AI Give You Exactly the Format You Want | Tables, bullets, checklists, headings, templates and structured data. |
| 15 | Tell AI Who the Audience Is | Transforms the same technical subject for a child, customer, salesperson, engineer and CEO. |
| 16 | Break Big Problems Into Smaller Problems | Instead of “create my business strategy,” demonstrates research → ideas → evaluation → strategy → action plan. |
| 17 | Get AI to Improve Its Own Answer | Ask it to critique against defined criteria, identify weaknesses and produce an improved version. |
| 18 | The Draft → Critique → Improve Loop | Introduce one of your core professional techniques: generate, review, challenge, improve, finalise. |
| 19 | Build Prompts You Can Reuse Forever | Turn a good conversation into a reusable prompt template with [CUSTOMER], [PRODUCT], [GOAL], etc. |
| 20 | The Ultimate Prompt Challenge | Start with a terrible one-line request and progressively turn it into a professional prompt using everything from Episodes 11–19. |
LEVEL 3 - AI AT WORK
Episodes 21-30: “I can use AI for real-world work.”
| Ep | Episode | 5-minute Videos |
|---|---|---|
| 21 | Talk to PDFs and Documents | Upload a document, ask questions about it, extract the important information and identify actions. |
| 22 | Summarise Without Losing the Important Stuff | Executive summary vs detailed summary vs actions vs risks. Show why “summarise this” is often a poor prompt. |
| 23 | Extract Information From Messy Documents | Turn invoices, reports, notes or PDFs into structured tables/information. |
| 24 | How to Do AI Research Properly | Question → research plan → sources → findings → verification → report. Introduce deep-research tools. |
| 25 | Never Trust One Source | Compare claims, dates and sources. Show conflicting information and how to investigate it. |
| 26 | Use AI to Learn Anything Faster | Create a personalised tutor, learning plan, quiz and explain-it-to-me session. |
| 27 | AI + Spreadsheets and Data | Upload/sample data, find trends, ask questions, calculate summaries and suggest visualisations. |
| 28 | Write Reports, Emails and Presentations | Take one set of information and transform it into an executive email, full report and presentation outline. |
| 29 | Creating Images With AI | Prompt for subject, composition, lighting, camera/style and aspect ratio. Show iteration rather than one-shot generation. |
| 30 | AI Voice, Audio and Video | Explains speech generation, transcription, music/audio and AI video. Create one tiny multimedia workflow rather than deep-diving into a particular brand. |
LEVEL 4 - AI BUILDER
Episodes 31-40: “I can build AI systems.”
This is where the series changes from using AI to building with AI.
| Ep | Episode | 5-minute Videos |
|---|---|---|
| 31 | Stop Starting New Chats - Build AI Workspaces | Explain projects/workspaces: persistent files, context, conversations and instructions. Current products increasingly support this model. |
| 32 | Build Your Own Specialist AI Assistant | Give an AI a job, behaviour, knowledge and output rules. Introduce custom assistants/Gems/etc. Gemini, for example, currently describes Gems as reusable customised versions of Gemini. |
| 33 | Automation in Plain English | Trigger → conditions → actions. Example: new enquiry → analyse → classify → draft response → CRM. |
| 34 | Put AI Inside an Automation | Demonstrates AI doing classification, extraction, summarisation and content generation inside a workflow. |
| 35 | Build Your First No-Code AI Workflow | An end-to-end practical automation using a tool such as Zapier/Make/n8n. |
| 36 | What Is an AI Agent? | Assistant versus workflow versus agent. Explains goals, reasoning, tools, actions, memory and autonomy. |
| 37 | Give an AI Agent Tools | Search, email, calendar, CRM, databases, files and APIs. Explain permissions before autonomy. |
| 38 | Give AI Your Own Knowledge | Introduces knowledge bases and RAG simply: retrieve relevant company information before generating the answer. |
| 39 | Coding With AI Even If You Can't Code | Generate a tiny web app/script. Then explain debugging, testing and why blindly running generated code is dangerous. |
| 40 | BUILD IT: Your First AI Employee | Capstone: build a simple enquiry assistant that receives information, researches/classifies it, produces an output and requires human approval. |
LEVEL 5 - AI PRO
Episodes 41–50: “I understand what's happening underneath.”
This section is what separates your programme from the thousands of courses that stop at “here are 10 cool ChatGPT prompts.”
| Ep | Episode | 5-minute Videos |
|---|---|---|
| 41 | What Is an API? | Explain san API as software talking to software. Make one basic AI API request conceptually/on screen. |
| 42 | Tokens, Context Windows and AI Memory | Explain tokens, context limits, conversation history and why more context isn't automatically better. |
| 43 | Structured Outputs | Get AI to reliably return fields/data rather than prose. Introduce schemas/JSON and why machines need predictable output. |
| 44 | How AI Uses Tools / Function Calling | User asks → AI decides tool → tool runs → result returns → AI responds. This is crucial for understanding agents. |
| 45 | Connect AI to the Outside World | Explain sconnectors, integrations and protocols such as MCP conceptually: AI gaining controlled access to tools and data. |
| 46 | Choosing the Right AI Model | Speed vs intelligence vs cost vs context vs multimodal capabilities vs specialist models. Teaches selection rather than brand loyalty. |
| 47 | How Professionals Test AI | Introduces evaluations: create test questions, expected behaviour, failure cases and scores before deploying an AI workflow. |
| 48 | AI Security: Prompt Injection and Data Leaks | Shows why an AI connected to business systems creates new risks. Permissions, untrusted content, approvals and least access. |
| 49 | Human + AI Beats Blind Automation | Human-in-the-loop systems, confidence thresholds, escalation, audit trails, responsibility and when AI shouldn't make the decision. |
| 50 | BUILD YOUR AI OPERATING SYSTEM | Final capstone: identify a real process → select model → create context/knowledge → prompt → tools → automation → verification → human approval → measure results. |
YOUR TRAINING HAS ONLY JUST STARTED.
Episodes beyond 50 to follow...