Introduction to Artificial Intelligence (AI)

🤖 Introduction to Artificial Intelligence (AI) with Neena Sathi

Course Overview:

In a world where data is abundant and diverse, the ability to harness and analyze it effectively is paramount. As we navigate through the challenges posed by global events like Covid-19, the importance of artificial intelligence (AI) in interpreting vast amounts of unstructured and semi-structured data has become increasingly evident. 📊✨

What You Will Learn:

Understanding AI:

• What is AI? Discover the fundamentals of Artificial Intelligence and its significance in today's data-driven world.
• Major Capabilities of AI: Explore the four major tiers of AI capabilities: Sensing, Learning, Reasoning, and Interaction.
• AI Technologies and Use Cases: Dive into various AI technologies and how they enable transformational analytics across different domains.
• Components of an AI Solution: Learn about the essential elements that make up a robust AI solution.
• Strategize AI Engagement: Gain insights on selecting AI use cases and choosing the right associated technologies for your strategic objectives.

Course Structure:

This course is meticulously structured into multiple sections, starting with an introduction to the core concepts of AI. Here's what you can expect:

1. AI Fundamentals: An overview of what AI encompasses and its four major capabilities.

   • Key technologies driving analytics in each area are highlighted.
   • Includes case studies for practical insights.

2. Sensing Capability: The perception side of AI, including speech, images, text, and sensor data.

   • Covers the technology behind sensing capabilities.
   • Features a case study to illustrate its real-world application.

3. Learning Capability: The process of model improvement through adaptive learning techniques.

   • Explores supervised, unsupervised, and reinforcement learning technologies.
   • Provides a case study to demonstrate its impact.

4. Reasoning Capability: The role of semantic knowledge representation in AI.

   • Highlights the development of reasoning capabilities within AI systems.
   • Includes a relevant case study.

5. Interaction Capability: Exploring collaboration in human-machine interaction.

   • Defines key characteristics of this technology.
   • Features a case study to showcase its importance.

6. AI Use Cases Roundup: A comprehensive review of how the four AI capabilities come together to create innovative use cases in everyday life.

7. Summary and Findings: A consolidation of our exploration into AI, with key takeaways and a set of recommended readings for further knowledge.

Interactive Learning Experience:

Throughout the course, you will engage with:

• Interactive Quizzes: Test your understanding of the subject matter with fun and informative quizzes designed to reinforce learning and retention.

Join us on this journey to unravel the mysteries of Artificial Intelligence and its transformative impact on the world around us. With Neena Sathi at the helm, you're set for an enlightening and engaging educational experience. 🚀💡