Frequently Asked Questions
1. Who should take this course ?
This course is designed for people in executive, managerial and team lead roles.
2. I have no programming experience and don't know what AI is. Is the course right for me?
The course does not assume any prior background in AI or programming. You are good to go!
3. Do I need to install any software before starting the course?
No, you don't need to install any software for this course.
4. What is the refund policy?
The fee for this course is non-refundable.
5. Do I need to take the modules in a specific order?
We would highly recommend taking the course in the order in which it has been designed to gain the maximum knowledge from it.
6. Do I get a certificate upon completion of the course?
Yes, you will be given a certificate upon satisfactory completion of the course.
7. What is the fee for this course?
You can enrol in this course for an amazing pre-launch offer of Rs. 6,999 (inclusive of tax). Post the launch, the price will be Rs. 20,000.
8. How long can I access this course?
This is a self paced course, which you can take any time at your convenience over the 6 months after your purchase.
Introduction to AI
We begin the course with a high-level overview of what AI is, it’s applications in various industries and it’s future potential. We will also look at whether you need to become a data scientist in order to adapt in this increasingly data-driven world along with how AI is disrupting traditional roles like HR, finance, operations, sales and marketing.
Spectrum of Data Science and Key Terms
This module will look at the diverse spectrum of data science. You will also through the key terms used in the data science community and learn the differences between them. There will be plenty of examples used to explain these concepts!
Framework and Building blocks of AI
This module will help you understand the framework for applying an AI system in your organization. You will also learn what are the various building blocks that up this AI system, along with case studies.
Machine Learning Pipeline
This module will help you to translate a business problem into a data problem. We will cover the typical machine learning pipeline and give you a good idea about the different types of ML algorithms, how to evaluate and interpret their results and the different cases where you can implement them.
The Various Aspects of Building an AI Team
What goes into making the ideal AI team? How can you assemble one? What are the different roles in this team and what aspects should YOU look at while hiring people? This module will guide you through these questions.
Case Studies on Real-World Scenarios
By this point in the course, you will have learned a plethora of topics and should be ready to apply these concepts in real-world scenarios. You will be given two practical case studies to work with and solidify your grasp on AI for business scenarios.
We will wrap up the course by providing you with resources to further enhance your understanding of AI and how you can use it for both professional and personal growth. These resources will include links to articles, YouTube videos, TED talks, among other things.
We will also give you two awesome case studies as part of this course.
Designing a Self-Driving Car
Self-driving cars are all the rage these days. As part of this case study, you will be tasked with identifying the building blocks of a self-driving car as well as creating a process to design one from scratch.
Optimizing Customer Lifetime Value in E-Commerce
Customer lifetime value is one of the key features of running an e-commerce business. One of the ways you can increase this value is by building and using a recommendation engine. In this case study, we will guide you in creating such a recommendation system.