Syllabus
π AI Mastery Course: From Foundations to AI-Powered Business
Duration: 12 Weeks (3 months)
Format: Self-paced (3β5 hours/week)
Target Audience: Tech-savvy professionals, founders, educators
Prerequisites: Basic computer literacy; no advanced math or coding required (but helpful)
πΉ Module 1: AI & Machine Learning Fundamentals (Weeks 1β3)
Goal: Understand what AI is, how it works, and where itβs used.
| Β |
|---|
| 1 | What is AI? | History, types (ANI/AGI), real-world use cases (healthcare, education, business) | Watch: AI For Everyone (Coursera β Andrew Ng) Explore: Perplexity Pro for AI trend research |
|---|---|---|---|
| 2 | Machine Learning Basics | Supervised vs. unsupervised learning, training data, features, labels | Hands-on: DataCampβs Introduction to Machine Learning Visualize: Beautiful.ai or Canva Pro for concept maps |
| 3 | Evaluating AI Models | Accuracy, bias, overfitting, ethical risks | Case study: Analyze AI failures (e.g., biased hiring tools) Write reflection in Notion Premium |
β Module Outcome: Explain AI concepts clearly to non-technical stakeholders (e.g., clients, students).
πΉ Module 2: Generative AI & Productivity (Weeks 4β6)
Goal: Leverage AI to boost personal and team productivity.
| Β |
|---|
| 4 | Large Language Models (LLMs) | How GPT, Gemini, Claude work; prompt engineering basics | Practice: Use Perplexity Pro, Gemini Advanced, You.com Pro Build 10 effective prompts for your business |
|---|---|---|---|
| 5 | AI Writing & Communication | Drafting emails, reports, scripts, lesson plans | Use: Grammarly Premium, Wordtune, Typefully, Lex Pro Automate client onboarding emails |
| 6 | AI-Powered Workflows | Connecting apps with AI automation | Build: A no-code workflow using Make.com or Zapier Pro Example: Auto-summarize Zoom calls (Otter.ai β Notion) |
β Module Outcome: Create an AI productivity stack that saves 5+ hours/week.
πΉ Module 3: Building AI-Enhanced Products (Weeks 7β9)
Goal: Design and prototype AI-driven solutions for your business or clients.
| Β |
|---|
| 7 | AI in Product Design | User research, PRD writing, rapid prototyping | Use: ChatPRD Pro, Mobbin Pro, Miro Business Draft an AI feature spec for Remote Support LLC |
|---|---|---|---|
| 8 | No-Code AI Development | Building apps without deep coding | Prototype: A customer support bot using FlutterFlow Pro + Lovable Dev Or: Internal knowledge base with Gamma Pro |
| 9 | AI for Data & Decisions | Dashboards, customer insights, SEO/content strategy | Analyze: Your business data with Ubersuggest, Gummysearch, Full Enrich Visualize in Granola or Linear |
β Module Outcome: Launch a working AI prototype (e.g., chatbot, report generator, client portal).
πΉ Module 4: Scaling & Ethics (Weeks 10β12)
Goal: Deploy responsibly and plan for AI-driven growth.
| Β |
|---|
| 10 | AI Ethics & Compliance | Bias mitigation, data privacy (GDPR), transparency | Audit: Your AI tools for fairness Document policies in Notion Premium |
|---|---|---|---|
| 11 | AI in Education & Training | Personalized learning, AI tutors, automated grading | Design: An AI lesson plan or student feedback tool (use Brilliant, Super Duolingo) |
| 12 | Future-Proofing Your Career/Business | AI co-pilots, continuous learning, staying ahead | Build: Your 12-month AI adoption roadmap Publish: A case study using Adobe Creative Cloud + Gamma |
β Module Outcome: A personalized AI Integration Strategy for your teaching, ICT services, and Remote Support LLC.
π Bonus Resources from Your Subscriptions:
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Coursera: AI For Everyone, Google Generative AI courses
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DataCamp: AI Fundamentals, LLM Concepts
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JetBrains: Use AI Assistant in IDEs for coding practice
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Replit Core: Experiment with Python AI scripts
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Webflow + AI: Build a smart landing page for your AI services