Day-by-day specifics
Day 1 — Prompt Engineering: Speak to AI Like a Pro Objectives: understand what AI is and isn’t; anatomy of a prompt; the CO-STAR framework; iterate rather than restart. Activities: 3 in-session exercises (CO-STAR identification, prompt upgrade, iteration challenge) + a 5-question graded quiz + the “Real-World Prompt Challenge” assignment (submit a CO-STAR prompt, AI’s first response, one refinement, and a reflection).
Day 2 — AI Content Writing: Efficiency Meets Creativity Objectives: Human-in-the-Loop workflow; Style Injection technique; a personal Quality-Control checklist. Activities: 5 in-session exercises (style inventory, brief practice, repurposing chain, QC test, platform voice table) + the “Content Production Sprint” assignment (blog post + email sequence + 5 social posts, all passing 5 QC tests).
Day 3 — AI Research & Analysis: Your Personal Intelligence Analyst Objectives: the three deep-dive research techniques (Actionable Summary, ELI5, Cross-Examination); source verification and avoiding hallucinations. Activities: 3 in-session exercises + a 10-question scenario-based graded quiz + the “Executive Summary Challenge” assignment.
Day 4 — AI Image Generation: If You Can Describe It, You Can Create It Objectives: the S.V.C.L. formula (Subject, Visual Style, Composition, Lighting); ethics, copyright, and responsible use. Activities: 4 in-session exercises + the “Visual Content Challenge” assignment (3 images: dream-vision, practical work asset, text-in-image).
Day 5 — AI Presentation Design: Build Slide Decks That Would Take a Designer Hours Objectives: the Three-Step Workflow (Describe → Choose → Generate); the Paste-to-Presentation hack; the Six Commandments of effective slides. Activities: 3 in-session exercises + the “Presentation Challenge” assignment (8+ slide deck, exported as PDF and PowerPoint).
Day 6 — AI Video Generation: Create Professional Video Content Without a Camera Objectives: the Director’s Prompt Formula; the generate-and-stitch pipeline; the 4-question video ethics test. Activities: 4 in-session exercises + a 3-clip portfolio assignment (b-roll, animated image, talking-avatar intro).
Day 7 — AI Audio & Voice Generation: Studio-Quality Audio Without a Studio Objectives: the Vocal Persona Formula; audio mixing levels; the “50/50 Rule” (audio matters as much as video). Activities: 5 in-session exercises + a 4-part assignment (vocal persona, AI narration, enhanced recording, 2 music tracks).
Day 8 — AI Chatbot Building: Deploy a 24/7 Digital Assistant Objectives: the Three Pillars (Knowledge Base, CO-STAR Persona, Guardrails); publishing options. Activities: 5 in-session exercises + a 3-chatbot assignment (FAQ bot, persona-upgrade bot, personal portfolio bot).
Day 9 — AI Workflow Automation: Stop Being the Bridge Between Your Apps Objectives: the Trigger-Brain-Action framework; writing Copilot/Zapier prompts; JSON output instructions. Activities: 5 in-session exercises + a 2-automation assignment, run for 24 hours with results logged.
Day 10 — AI Resume & Career Optimization: Land the Job, Beat the Bots Objectives: the STAR + Metric formula; ATS keyword optimisation; LinkedIn headline formula; mock interview prep. Activities: 6 in-session exercises + a 5-step career-optimization assignment. (No Zoom recording supplied — see gap note above.)
Bonus Resources section - AI Projects — GitHub Deployment Guide: 15 ready-to-run AI projects (chatbot, sentiment analyzer, RAG doc Q&A, etc.) with full GitHub Actions setup. Add as a Page or File (PDF export of the guide) plus a URL link to the itlearning.ng version for live updates. - 150 Practical Prompt Codes (from the Day 1 page): a shorthand reference library. Add as a Page resource — useful as a standing reference students can bookmark independently of any single day.