AI Training Program – Module 1 PoC

This proof of concept demonstrates Module 1 of our AI Training Program, focusing on practical applications of AI in daily life. Explore interactive lessons, hands-on exercises, and assessments designed to help you understand where AI already exists in your workflow and how to leverage it effectively.

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Learning Through AI

AI study partners follow you through the day—surfacing quick refreshers over breakfast, turning your commute into a flashcard session, and guiding you through interactive assignments once you sit down to focus. These ambient nudges keep concepts fresh without demanding huge blocks of time.

When it is time to build, intelligent copilots suggest code, summarize readings, and simulate real-world scenarios so you can practice in context. The result is a rhythm where AI feels less like a tool and more like an always-on coach woven into daily life, accelerating progress with every interaction.

Curriculum Overview

Each lesson mixes video guidance with focused practice so you can apply AI thinking to routines immediately. Save the clips inside the videos folder to keep them available even when you are offline.

  1. Lesson 01

    AI in Your Daily Life

    Map the small moments where AI can lighten cognitive load—from scheduling and shopping lists to wellness check-ins—and plan quick experiments to automate them.

    • Identify daily routines where AI can reduce cognitive load
    • Map AI opportunities in scheduling, shopping, and wellness
    • Plan quick experiments to automate routine tasks
    • Understand the difference between AI assistance and simple automation
  2. Lesson 02

    Where You Already Use AI

    Discover the AI tools and features you're already using in your daily routine, from smart assistants to recommendation systems, and learn how to recognize AI-powered experiences around you.

    • Recognize AI-powered features in common apps and services
    • Identify where AI is already enhancing your daily workflow
    • Understand the difference between AI and traditional automation
    • Map your current AI usage patterns and opportunities
  3. Lesson 03

    Automation vs AI

    Learn to distinguish between simple automation and AI-powered systems, understanding when each approach is most appropriate and how to make informed decisions about technology choices.

    • Differentiate between rule-based automation and AI systems
    • Understand when to use automation versus AI solutions
    • Identify key characteristics that define AI-powered tools
    • Make informed decisions about technology implementation
  4. Lesson 04

    Benefits & Limitations

    Explore the real-world benefits AI can deliver while understanding its limitations and constraints, helping you set realistic expectations and make better decisions about AI adoption.

    • Identify key benefits AI brings to daily workflows
    • Understand common limitations and constraints of AI systems
    • Set realistic expectations for AI implementation
    • Make informed decisions about when AI is the right solution

Exercise 1 — Spot the AI

Review ten everyday scenarios and label each as AI-assisted (intelligent decision-making) or automation (rule-based trigger). Discuss your choices with a partner to surface edge cases.

  1. Smart thermostat that learns your schedule
  2. Coffee machine that brews at 7:00 a.m. every day
  3. Email assistant suggesting replies based on thread context
  4. Conveyor belt that stops when a weight sensor is triggered
  5. Grocery app that predicts your weekly shopping list
  6. Calendar rule that auto-accepts all stand-up meetings
  7. Photo library grouping pictures by friends' faces
  8. Warehouse picker that follows fixed floor routes
  9. Customer support chatbot that adapts tone mid-conversation
  10. Payroll system that issues paychecks on the 1st and 15th

Exercise 2 — AI In My Day

Choose five moments from today and note whether AI played a role. If it did, describe how; if not, brainstorm how you might introduce an assist.

Assessment — Check Your Understanding

Five MCQs aligned to the four lessons and hero overview. Submit to log your attempt, view your score, and decide whether to retake.

  1. Lesson 01 highlights “AI in your daily life.” Which scenario best matches that description?

  2. According to Lesson 02, what is the most reliable way to write a useful prompt?

  3. Lesson 03 focuses on ethical guardrails. What is the best first action before sharing AI outputs?

  4. In Lesson 04, why does an automation playbook stay dependable?

  5. The hero overview suggests staying in rhythm with AI learning. What tactic keeps momentum between lessons?