AI Tools Mastery

What you'll learn

1. 1. Module 1: How GenAI Works & Prompting FoundationsHow large language models predict text, why they can be wrong, and when to verify · The 2026 model landscape: ChatGPT, Claude, Gemini, Grok and when to pick each · Prompt anatomy: role, task, context, constraints, examples and output format · Core patterns: few-shot, step-by-step, critique-and-revise, and prompt testing
2. 2. Module 2: ChatGPT for Everyday WorkPlans, models and the ChatGPT interface: chats, projects, memory, files and data controls · Everyday writing, editing, translation and productivity workflows · Files, data analysis, charts and deep research · Image creation, voice and what never to paste into a chat
3. 3. Module 3: ChatGPT Custom GPTs, Agent Mode & AutomationsCustom instructions, memory and Projects for repeat work · Building a Custom GPT with clear instructions and knowledge files · Agent mode and multi-step automations · API basics: when the chat UI is enough and when an API call is better
4. 4. Module 4: Claude for Writing, Long Documents & ArtifactsGetting started with Claude: plans, models, projects and privacy controls · Prompting Claude effectively for writing, editing and tone · Long documents and research: uploading reports, asking for structured briefs · Artifacts: build docs, tools and mini-apps you can iterate on screen
5. 5. Module 5: Claude Projects, Connectors, Files & Claude CodeProjects, memory and file organisation in Claude · Data analysis and file creation (docs, spreadsheets, slides) · Connectors and MCP at an introductory level · Claude Code and coding basics for non-specialists: when to use it, how to review output
6. 6. Module 6: Gemini Gems, Deep Research & NotebookGetting started with Gemini: models, Gemini app and privacy settings · Gems: custom Gemini experts you can reuse · Deep Research for sourced, long-form briefs · Gemini Notebook: learn and ask questions from your own sources
7. 7. Module 7: Gemini in Google Workspace, Multimodal & AI StudioGemini in Gmail, Docs, Slides and Drive · Gemini in Sheets for data analysis · Multimodal work: images, video and files · Canvas, Google AI Studio and API basics
8. 8. Module 8: Grok — Real-Time Search, DeepSearch & Think ModeGetting started with Grok on X: plans, models and data controls · Real-time X search and trends, and how to verify what you find · DeepSearch for longer research · Think mode and reasoning: when to slow the model down
9. 9. Module 9: Grok Imagine, Voice, Content & the xAI APIImages with Grok Imagine, and licence / disclosure basics · Voice mode for spoken drafting and review · Grok for content creation, scripting and organisation · xAI API basics: when the app is enough and when an API helps
10. 10. Module 10: Grok Bot — Your Personal AI AgentWhat Grok Bot is: a personal AI agent versus a chat window · Setting up the bot, permissions and connectors · Delegating real tasks: email, calendar, research and follow-ups · Documents, reports and files the bot can draft for you
11. 11. Module 11: Grok Bot Routines, Skills, Safety & No-Code AgentsRoutines and scheduled automations · Memory, skills and multiple bots for different roles · Safety, approvals and what the bot must never do unsupervised · No-code AI automation patterns you can reuse across tools
12. 12. Module 12: Cross-Tool Workflows, RAG Intro, Responsible AI & Final ProjectA practical cross-tool workflow: when to use ChatGPT, Claude, Gemini, Grok or Grok Bot · Grounding and a plain-language intro to RAG (retrieve, then generate) · Responsible AI: copyright, privacy, disclosure and human review · Final project showcase and personal 30-day practice plan

Final project demo: A documented cross-tool workflow that uses at least two assistants, presented in the final live session.