This is a completely free course and is for business managers/ leaders who want to
understand about the current state of AI and Machine Learning, how they are disrupting
businesses globally and in diverse fields, how they might generate impact in your current
role and to understand various building blocks of Artificial Intelligence and Machine
Learning. It will also explain why it is necessary for you to have a high-level overview of these topics in today's data-driven world.
We will also demonstrate practical case studies in the course that will help you to apply this on your business. 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
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