AI – The World of Prediction Machines

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About Course

Computer-enhanced artificial intelligence (AI) has been around since the 1950s, but recent hardware innovations and technological disruptions have reinvigorated the field. New sensors help machines to be more accurate in seeing, hearing sounds, and understanding location. Powerful processors can help computers make complex decisions, sort through possibilities, plan outcomes, and learn from mistakes. The possibilities are thrilling; the implications are vast.

This course will introduce you to some of the key concepts behind artificial intelligence, including the differences between “strong” and “weak” AI. You will see how AI has created questions around what it means to be intelligent and how much trust we should put in machines.

Objective of the program

  • Implementation of AI
  • Practical Applications of AI-enhanced technologies

Topics Covered

  • Introduction to Artificial Intelligence
  • World of Machine Learning
  • Machine Learning Approaches
  • Machine Learning Algorithms
  • AI- Creating a Paradigm shift
  • How AI is implemented?
  • Progression of AI
  • Practical Application of AI

Why choose this program?

  • Certification Program
  • Self paced, with tons of additional learning materials to refer
  • No prior  knowledge needed
  • A dedicated mail id for query support and guidance, unlike other online courses
  • 8 modules – Step by step approach to guide you from basics
  • 4 Assignments for practice
  • Quiz for every module to test your understanding

Key Takeaways

  • Learn about AI
  • Understand how AI is implemented
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What Will You Learn?

  • Gain a comprehensive understanding of what Artificial Intelligence (AI) is and its significance in today’s world.
  • Understand the implications of AI advancements on various industries and society as a whole.
  • Explore the project implementation approach for AI initiatives, including best practices and methodologies.
  • Analyze real-world case studies demonstrating successful AI implementations across different sectors.

Course Content

Introduction to Intelligence

  • Introduction to Intelligence
    16:27
  • Let’s define AI
    11:06
  • Understanding Artificial Intelligence
    07:01
  • Philosophy of AI
    11:32
  • Evolution of AI
    10:41
  • Why AI is popular today?
    09:12
  • Areas explored under AI
    15:15
  • How Industry views AI?
    10:00
  • Real world Applications of AI
    18:00
  • Reference Material
    00:00
  • Module Quiz – Introduction to Artificial Intelligence

Machine Learning – The World of Prediction Machines

AI – Creating a Paradigm Shift

Machine Learning Approaches

Machine Learning Algorithms

How is AI implemented?

Progression of AI

Practical Applications of AI-ML

Certification Exam

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