Coaching Programs / AI PRODUCTIVITY MASTERY
AI PRODUCTIVITY MASTERY

AI PRODUCTIVITY MASTERY

AI Productivity Mastery is a hands-on, scenario-driven program that teaches learners how to work faster, think more clearly, and produce better output by combining today's leading generative AI tools — every one of them accessible on a free plan, free trial, or free credits. Instead of passive tutorials, learners complete real tasks inside each tool: drafting, researching, coding, designing, editing video, and building a personal AI-powered workflow they can use immediately at work, in study, or in business. The course treats AI literacy as a portfolio skill: knowing which tool to reach for, how to prompt it effectively, and how to chain multiple tools together for compounding productivity gains — without needing to pay for a single subscription to complete the course. Who This Course Is For • Professionals and managers who want to reclaim hours currently spent on routine writing, research, design, and meeting follow-up. • Students, researchers, and lifelong learners who want to study, code, and synthesise information faster. • Entrepreneurs, marketers, and small teams who need content, design, and video output without a large team or budget. • HR, L&D, and business teams rolling out a no-cost AI adoption program and needing a practical, tool-agnostic curriculum. Format & Delivery • Experiential and scenario-based: every module includes a live simulation, build, or role-play — not passive video only. • Self-paced with a suggested 10-week cadence (approximately 3.5 hours per week). • Built entirely around free plans, free trials, or free credits — no paid subscription required to complete the course. • Includes downloadable prompt templates, a personal prompt library builder, and a capstone project. Prerequisites • No coding or technical background required (Module 4 introduces coding assistants from first principles). • A computer or smartphone with internet access.

AI PRODUCTIVITY MASTERY
Included in coaching
Session 1
Module 1: Foundations — Mapping the GenAI Toolscapee
• The 2026 GenAI landscape: general assistants, research tools, coding copilots, creative generators, and meeting assistants • Free plan vs. free trial vs. free credits — what each really gives you • A one-page decision framework: 'What am I trying to do?' to 'Which tool fits?' • Account setup and safe-use basics before working with any of the 20 tools
30 min
Session 2
Module 2: General AI Assistants — ChatGPT, Claude, Gemini & Copilot
• ChatGPT: versatility, custom GPTs, broad workflow support • Claude: long-context reasoning, nuanced writing, document analysis • Google Gemini: Gmail/Docs/Sheets integration, multimodal prompting • Microsoft Copilot: Microsoft 365 assistance, email drafting, presentation help
30 min
Session 3
Module 3: Research & Learning AI — Perplexity & NotebookLM
• Perplexity: focus modes, citation checking, Collections for ongoing research • NotebookLM: uploading sources, auto-generated study guides and FAQs • NotebookLM Audio Overviews — turning documents into podcast-style summaries • When to search the open web vs. stay grounded in your own material
30 min
Session 4
Module 4: AI Coding Assistants — GitHub Copilot, ChatGPT, Claude & DeepSeek
• GitHub Copilot: code completion, debugging, and auto-documentation inside the editor • ChatGPT and Claude as coding thinking-partners: explaining, refactoring, reviewing • DeepSeek: reasoning, mathematics, and research-style coding support • Verifying AI-generated code before use: testing and review habits
30 min
Session 5
Module 5: AI Image Generation — Leonardo AI, Adobe Firefly, Midjourney & Canva
• Leonardo AI: free daily credits, concept art, and game-style assets • Adobe Firefly: free credits, image generation, text effects, and image editing • Midjourney: high-quality artwork (no permanent free plan — occasional trials only) • Canva AI (Magic Media): fast, on-brand image generation inside a design tool
30 min
Session 6
Module 6: AI Video Creation — Runway ML, Synthesia & CapCut AI
• Runway ML: text-to-video, background removal, and simple animation • Synthesia: AI avatars for training and e-learning videos • CapCut AI: auto-captions, avatars, and fast social-video editing • Matching the video tool to the task: training content vs. social content vs. raw generation
30 min
Session 7
Module 7: AI Presentations & Documents — Gamma & Canva AI
• Gamma: prompt-to-deck generation for presentations, documents, and websites • Canva Magic Design and Magic Write for slides and one-page documents • Keeping AI-generated decks on-brand with Brand Kits • Editing and refining an AI-drafted deck rather than accepting the first output
30 min
Session 8
Module 8: Writing & Marketing AI — Jasper, Grammarly & ChatGPT
• Jasper AI: marketing content, blogs, and copywriting templates • Grammarly AI: grammar, clarity, and tone-of-voice checking • ChatGPT for first drafts, Grammarly for final polish — a repeatable two-tool workflow • Keeping brand voice consistent across AI-assisted marketing content
30 min
Session 9
Module 9: Meetings, Notes & Workplace AI — Otter.ai & Microsoft Copilot
• Otter.ai: live transcription, meeting summaries, and action-item extraction • Microsoft Copilot: meeting recaps and follow-up drafting inside Microsoft 365 • Turning a messy meeting transcript into a clean, assignable action list • Privacy considerations when recording and transcribing meetings
30 min
Session 10
Module 10: Everyday & Social AI — Meta AI
• Where Meta AI lives: WhatsApp, Instagram, Messenger, Facebook • Quick answers, translations, and reminders inside chat threads • Image generation and editing for social content • Boundaries: what embedded assistants are (and aren't) built for
30 min
Session 11
Module 11: Prompt Engineering Across Every Platform
• The CRAFT framework: Context, Role, Action, Format, Tone • Prompt patterns that transfer across ChatGPT, Claude, Gemini, and Copilot • Adapting prompts for image and video tools (style, composition, pacing) • Building and maintaining a personal or team prompt library
30 min
Session 12
Module 12: Building Your Personal AI Stack & Workflow
• Chaining tools: research in Perplexity → notes in NotebookLM → drafting in ChatGPT/Claude → design in Canva/Gamma → video in CapCut • Auditing your week: where AI can realistically save time on a free-tier budget • Common failure modes: tool-switching fatigue, over-reliance, unverified output • Designing a sustainable personal AI routine across free and paid tools
30 min

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