Transition to AI

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About Course

Course Structure: Self-Paced

Our Transition to AI Program is designed to help you gain the necessary skills and knowledge to excel in the AI domain. From foundational concepts in mathematics and machine learning to completing a publishable research project, this program offers a comprehensive learning experience. The course covers essential topics from math and machine learning to working on a complete project. You will work on a real-world research project with the goal of publishing your findings. Regular assignments and homework to ensures you understand the concepts, and will help in working on the projects. Earn a certificate upon successful completion of the program. The course is specially designed to fit the schedules of working professionals in different domains like tech, academia, banking, finance, and business.

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What Will You Learn?

  • Understand the Basics of Machine learning and Deep Learning
  • Master Essential Mathematics for Machine Learning
  • Develop a solid foundation in linear algebra, probability, and statistics.
  • Learn Core Machine Learning Techniques
  • Conduct a Comprehensive Research Project
  • Gain Practical Experience
  • Earn a Certificate

Course Content

Introduction to AI
This lesson introduces you to the world of AI, providing an overview and fundamental concepts. You will learn about the different branches of AI and their real-world applications, providing a broad understanding of the AI landscape.

  • AI in Different Sectors
  • AI Ethics
  • Setting up the environment

Mathematics for AI
In this module, you will gain a solid understanding of the essential mathematical concepts and tools needed to develop and understand AI/ML. By mastering these foundational topics, you will be well-equipped to tackle complex problems and build robust models.

Machine Learning Basics
Learn the basics of machine learning

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