By the end of this course, students will be able to:

♦ Understand the foundational concepts of Artificial Intelligence (AI) including its history, types, and real-world applications.

♦ Differentiate between human intelligence and machine learning, recognizing where AI excels and where it has limitations.

♦ Develop basic coding skills using beginner-friendly programming languages such as Python to understand how machines learn.

♦ Explore and apply AI tools (like Teachable Machine, Scratch AI, and ChatGPT) to conduct experiments and build simple models.

♦ Critically analyze ethical and social implications of AI including algorithmic bias, privacy, and fairness.

♦ Design and propose AI-for-good solutions that address challenges in education, health, environment, or community wellbeing.

♦ Demonstrate research and innovation skills through a capstone project involving ideation, prototyping, and presentation.

After completing the course, learners will be able to:

♦ Define Artificial Intelligence and describe its evolution from symbolic reasoning to generative capabilities.

♦ Identify common uses of AI in everyday life such as in education, healthcare, transportation, and media.

♦ Write and test basic Python programs and train AI models using image and sound data.

♦ Build a functional AI prototype using accessible platforms (e.g., Google Teachable Machine or Scratch).

♦Evaluate AI applications through a critical lens, discussing ethical concerns, equity issues, and possible improvements.

♦ Design and present a tech-for-good project that applies AI to solve a real-life problem, supported by research and ethics considerations.

♦ Collaborate and communicate effectively within teams to ideate, develop, and pitch AI-based solutions.

Module 1: FOUNDATIONS OF ARTIFICIAL INTELLIGENCE


Module 2: INTRODUCTION TO AI PROGRAMMING


Module 3: HANDS-ON WITH AI TOOLS AND APPLICATIONS


Module 4: ETHICS, IMPACT & AI FOR GOOD PROJECTS

• CEO of GreenPepper + AI - Over 18 years of experience driving innovation, talent acquisition, and digital transformation.
• Career Builder - Placed 3,000+ professionals in 200+ companies, focusing on tech roles.
• Digital Innovator - Led 150+ transformative projects enhancing business operations and user experiences.
• Generative AI Advocate - Conducted 50+ workshops for 2,000+ leaders across diverse sectors.
• Academic Collaborator - Partnered with IITs, IIMs, and others to advance Generative AI and leadership.
• Author and Speaker - Wrote Between Genes and Memes and Learning Revolution, sharing insights on platforms like Money Control.
• Life-long Learner - MBA in International Finance, 45+ MOOCs, and initiatives like The Great Indian Footprint expedition.