Course Title: Introduction to AI
Duration: 4 Weeks (Self-Paced)
Format: Short video lessons, interactive demos, quizzes, mini-projects
Level: Beginner (no technical background required)
Outcome: Certificate of Completion
Course Overview
This course introduces the fundamentals of Artificial Intelligence, how it works, and how it’s used in everyday life and business. Learners will explore key concepts, experiment with popular AI tools, and understand the opportunities and risks of AI.
Weekly Breakdown
Week 1: What is AI? (Foundations)
- Definition of Artificial Intelligence
- Brief history and evolution of AI
- Types of AI: Narrow vs General
- Key concepts:
- Machine Learning
- Natural Language Processing (NLP)
- Computer Vision
- Real-world examples of AI (apps, assistants, recommendations)
Activity:
- Identify and list AI systems you interact with daily
Assessment:
- Quiz on basic concepts
Week 2: How AI Works (Simplified)
- What is data and why it matters
- How machines “learn” (basic idea of training models)
- Algorithms explained in plain language
- Supervised vs unsupervised learning (conceptual)
- Introduction to generative AI
Activity:
- Simple hands-on: Use an AI tool to generate text or images
Assessment:
- Short quiz + reflection exercise
Week 3: AI in the Real World
- AI in everyday life:
- Social media
- E-commerce
- Healthcare
- Finance
- Benefits of AI:
- Automation
- Efficiency
- Personalization
- Limitations of AI:
- Errors and hallucinations
- Data dependency
- Lack of human judgment
Activity:
- Case study: Analyze how a company uses AI
Assessment:
- Scenario-based quiz
Week 4: Risks, Ethics & Getting Started
- Ethical concerns:
- Bias in AI
- Privacy issues
- Job displacement
- Responsible use of AI
- AI tools you can start using today (no-code tools)
- Future of AI and career opportunities
Capstone Activity:
- Create a simple “AI Use Plan”:
- One problem you want to solve
- AI tool you would use
- Expected benefits and risks
Final Assessment:
- Quiz + Capstone submission
Certification Requirements
To earn the certificate, learners must:
- Complete all weekly quizzes
- Submit the final capstone activity
- Achieve a minimum passing score (e.g., 70%)
Learning Outcomes
By the end of this course, learners will be able to:
- Explain what AI is in simple terms
- Understand how AI systems learn and operate
- Identify common uses of AI in daily life
- Recognize risks and ethical considerations
- Confidently start using basic AI tools
Optional Add-ons
- Live Q&A sessions (monthly)
- Industry guest lectures
- Downloadable templates (AI strategy, ROI calculator)
- Community discussion forum
Instructor
