Artificial Intelligence / Machine Learning / Deep Learning

This course will provide an excellent kickstart in improving the level in AI/Machine Learning as a domain. The course is a well balanced between theory and hands-on lab, spread on real-world uses case studies. It will also offer a good foundation for Deep learning.

Course Objectives:

Upon successful completion of this course, the participant will be able to:

• Understand and analyze AI/ML opportunities, have balanced conversations with their clients on AI/ML topics.
• Identify and analyze different industry verticals for AI/ML problems by studying relevant Case studies (including UBER in NY, Netflix for content recommendations, TAG prediction and association for content, cancer diagnosis in healthcare, Malware detection in Microsoft dataset, Amazon fashion discovery engine, Chatbot concepts)
• Understand AI, ML, DL concepts and foundation for its algorithms.
• Start implementing algorithms in real world datasets
• Get the current industry status of Deep Learning
• Start thinking about how to automate things by relating to the case studies discussed in the sessions.