Artificial Intelligence Mastery: Beginner Level

This flagship course provides an extensive and practical learning path for the application of AI, allowing students to leverage AI tools to address real-world challenges and grasp fundamental AI concepts. Through practical projects and detailed modules, students gain proficiency using AI prompts, thereby boosting usability and technical know-how. Enroll in this course to discover the vast opportunities whether in your careers or in running your business.

Course Topics and Objectives

Session Frequency: Twice Weekly (2 hours per session)

Week 1: Foundations of AI

Session 1: Introduction to Artificial Intelligence

- What is AI? Definition and Examples

- Debunking Myths: AI is Not Only for Coders or Mathematicians

- Types of AI: Narrow AI, General AI, and Super AI

- Fun Activity: Identifying AI in Everyday Life

Session 2: The Evolution of AI

- Brief History of AI: Key Milestones

- Modern AI and Its Advancements

- Group Discussion: What Does the Future Hold for AI?

Week 2: AI in Action

Session 3: AI Applications Across Industries

- Education: AI in Lesson Planning and Learning Personalization

- Healthcare: AI for Diagnosis and Patient Care

- Entertainment: Content Recommendation Systems (e.g., Netflix)

- Class Activity: Brainstorm Industry-Specific AI Use Cases

Session 4: AI in Everyday Tools

- AI in Search Engines (Google)

- Voice Assistants (Alexa, Siri)

- Generative AI: What It Is and How It Works (Text, Image, and Video Creation)

- Hands-On: Experimenting with Free AI Tools

Week 3: Practical AI for Daily Productivity

Session 5: AI for Task Automation

- Automating Repetitive Tasks with AI

- Tools Demo: Zapier, IFTTT

- Real-Life Example: Automating Emails and Scheduling

Session 6: AI for Creative Projects

- Generating Slide Presentations with AI

- Video Creation with AI (Lumen5)

- Class Project: Create a Personalized AI Presentation

Week 4: Prompt Engineering and Generative AI

Session 7: Introduction to Prompts

- What Are Prompts, and Why Are They Critical?

- The Science of Prompt Optimization

- Practice: Writing Prompts for Specific Outputs

Session 8: Leveraging Generative AI for Problem Solving

- Text Creation: Writing Articles, Summaries, and Stories

- Image Creation: Exploring DALL-E and Similar Tools

- Hands-On: Generate a Custom Solution with Generative AI

Week 5: Ethical AI and Challenges

Session 9: AI Ethics and Limitations

- Responsible AI Usage and Avoiding Bias

- Data Privacy and Security Concerns

- Discuss: Impacts of AI Misuse

Session 10: Overcoming AI Fear and Barriers

- Simplifying AI Terminology

- Encouraging a Growth Mindset Towards AI

- Panel Discussion: Learners Share AI Misconceptions and How to Overcome Them

Week 6: Consolidation and Industry Showcase

Session 11: AI Applications Showcase

- AI in Marketing, Banking, Agriculture, and Social Media

Session 12: Course Wrap-Up and Certification

- Recap of Key Learnings

- Final Quiz: Practical AI Tasks

- Certificates and Networking