There are videos and articles to learn on the go and exercises to test your learning. By the time you finish the course, you will be ready to apply your newly-acquired knowledge in your current organization. You will be able to make informed strategic decisions for yourself and your business. The course is divided into modules to make learning easier: Course Modules: • Introduction to Artificial Intelligence • Common Tools, Techniques and Terminologies • Applications of Artificial Intelligence and Machine Learning In the Real World • Building AI Capabilities In Your Organization • Artificial Intelligence Creation Process • Promises and Challenges of Artificial Intelligence You will learn the following techniques from the course: • Common Terminologies • Common Tools in the Data Science Spectrum • Overview of Common Techniques • Understanding of various Machine Learning techniques • Stages of Model Building and Problem Definition • Hypothesis Generation • Data Extraction or Collection • Data Exploration • Basics of Model Building • ML Projects and Model Evaluation Case Studies of real world applications of Machine learning in the following domains have been covered: • Banking • Healthcare • E-Commerce • Telecom • Human Resources • Sales • Operations • Marketing • Supply Chain We have also covered how to build AI capability in your organization right from strategy, timelines, roles and keys all the way up to effective AI recruitment In short, this course will act as a stepping stone in your journey to use data science in your organization to create value Privacy: https://www.analyticsvidhya.com/privacy-policy/ Terms: https://www.analyticsvidhya.com/terms/