Building the Future with AI: A Strong Foundation for Tomorrow's Innovators Beginner-Friendly Course: Ideal starting point to explore AI principles and practical tools Foundational Learning: Covers AI fundamentals, real-world applications, and ethics No Technical Background Needed: Requires basic interest in using technology

• Foundational AI Knowledge: Gain a strong foundation in AI, ethics, and real-world applications, equipping you with essential AI knowledge.
• Practical Application of AI: Learn how to effectively interact with AI models and apply AI tools to real-world challenges.
• Ethical AI Adoption: Understand the ethical considerations of AI, including fairness, transparency, and privacy.
• Increased Competitiveness: Learn prompt engineering and AI tools to enhance innovation in your work.
• Real-World Insights: Explore how AI is reshaping industries and gain valuable insights into its practical applications

• Business Professionals: Learn how AI is reshaping industries and discover AI-driven business strategies to stay competitive in a technology-driven market.
• AI Enthusiasts: Gain foundational knowledge in AI, prompt engineering, and real-world applications, preparing you for a deeper understanding of AI’s potential.
• Technology Leaders: Equip yourself with essential AI skills and insights on how to leverage AI tools and models effectively to drive innovation in your organization.
• Ethics Professionals: Explore the ethical considerations of AI, including fairness, transparency, and privacy, ensuring responsible AI adoption in any industry.
• Students & New Graduates: Build a competitive resume by mastering AI basics and ethical practices, preparing for a future career in the rapidly growing AI field.

• Basic familiarity with using technology.
• Curiosity about AI applications in different industries.
• Interest in ethical considerations related to AI’s impact on society.

Module 1: Introduction to AI & Its Impact
• 1.1 Understanding AI
• 1.2 AI in Everyday Life
• 1.3 Introduction to Machine Learning
• 1.4 Use-Case, Case Study, and Hands On Activity

Module 2: Prompt Engineering: Interacting with AI
• 2.1 Defining Prompt Engineering and its Importance
• 2.2 Enhancement through Well-Crafted Prompts
• 2.3 Exploring GPT-4
• 2.4 Use-Case, Case Study, and Hands On Activity

Module 3: AI in Business & Industry Applications
• 3.1 Crafting AI Strategies
• 3.2 Key AI Tools for Business
• 3.3 Power of GAN AI
• 3.4 Use-Case, Case Study, and Hands On Activity

Module 4: AI Ethics & Bias
• 4.1 Overview of Ethical Considerations in AI
• 4.2 Data Collection and Bias consequences
• 4.3 Bias Impact on Decision-Making
• 4.4 Use-Case, Case Study, and Hands On Activity

Module 5: The Future of AI & Career Opportunities
• 5.1 AI’s Role in Addressing Global Challenges
• 5.2 How AI is Reshaping Industries and the Nature of Work
• 5.3 Job Displacement vs. Job Creation
• 5.4 Skills of the Future
• 5.5 Use-Case, Case Study, and Hands On Activity