Artificial Intelligence
₹5999   ₹3499

AI Engineer: Your Dream Comes True

Artificial intelligence is central to the ongoing tech revolution, and it’s getting smarter all the time. If you are planning your future career or thinking about a career upgrade, working as an AI engineer can be an eye-catching option.

Artificial Intelligence: Rife with Career Opportunities

It’s no surprise, then, that the AI field is rife with career opportunities.

With more companies than ever (even those outside of the tech) relying on AI tasks as part of their everyday business, demand for practitioners with this skill will only rise.

How to know if an AI engineering career is right for me?

This course helps you test drive a career in AI by providing you with a safe, simulated, and risk-free way to immerse yourself as an AI Engineer in real-world workplace scenarios. This helps you understand what a career in AI is all about and find out if it is the right fit for you.

Who is the course for?

For anyone (a student, a graduate or a working professional) who wants to explore if a career in AI is right for them.

  • Duration:  Approx. 15 hours to complete
  • Course Access Period:  30 days
  • Download Material:  Case studies in PDF
  • Learning: 100% online on your mobile or computer
  • Effort:  1 hour per day for 15 days
  • Schedule:  Self-paced and learn on your own schedule
  • Beginner Level:  No prior experience required
  • Language:  English

What You Gain - Exploring to Landing a Career in AI

We are here to help you every step of your way, right from exploring to landing a career in Artificial Intelligence.

1. Course Overview

Course Overview

An overview of the course.

2. Test Driving Instructions

Test Driving Instructions

Instructions that help you navigate with ease while you test drive.

3. Career Introduction

AI introduction

Go through a full introduction about the AI career including job responsibilities, tools used, key skills (technical and soft skills) associated with Artificial Intelligence and education requirements to pursue a career in AI.

4. The AI Technology Behind Alexa

Case Study - 1

Amazon Alexa

How Alexa understands what is being said and disambiguates it to get the right answer as quickly as possible.

5. How Royal Caribbean Uses AI to Improve Customer Experience

Case Study - 2

Royal Caribbean

How Royal Caribbean does the time-consuming task of identity verification of customers in minutes that used to take hours earlier.

6. How RankBrain Helps Google Understand Search Queries

Case Study - 3

Google RankBrain

How RankBrain helps Google sort out search results, improves the whole process and helps the overall algorithm understand search queries more like the way humans do.

7. Neuroscience and AI to Predict the Right Person for the Job

Case Study - 4


How Pymetrics uses behavioral signals and AI to match candidates to jobs where they are most likely to succeed – while removing bias from the process.

8. How Tesla Leverages Big Data and AI to Make Fully Automated Cars

Case Study - 5


How Tesla's machine learning algorithm is used to track the movement of objects on-road or road signs and traffic signals, and how its control system makes decisions accordingly.

9. Find a Mentor*

Find a mentor

Resources that help you find a suitable mentor who can make a great difference in helping you build a successful career in AI.

10. FAQs


Go through some of the most common questions you're likely to encounter when you plan to start your career in AI.

11. Hands-on Activity


An expert-curated list of online platforms that gives you hands-on experience in training models and exploring AI for free.

12. Determine Career Suitability


A self-assessment to find if a career in AI aligns with your personality and if it is the right fit for you.

13. Career Outlook

Career Outlook

Get an outlook on an Artificial Intelligence career, including the salary, job titles, industries and companies recruiting AI professionals and reasons why AI is a good career path.

14. Learn Computer Fundamentals*

Computer Fundamentals

If you are from a non-tech background, it's essential to learn computer fundamentals before you proceed further. Find expert-curated free online resources that help you learn the fundamentals in no time.

15. Learn Domain-Specific Fundamentals*

Domain Fundamentals

Learning domain-specific fundamentals will help you understand the core concepts taught in a tech bootcamp. Find expert-curated free online resources that help you grasp these fundamentals with ease.

16. Enrol in a Tech Bootcamp*

Tech bootcamp

It's time to enrol in an AI bootcamp. Find details of top bootcamps that we have partnered with. Study program details provided by each one of them and enrol in a bootcamp that fits your requirement.

17. Develop Your Soft Skills*

Soft skills

Companies always look for candidates with good soft skills. Once you get upskilled technically, improve your soft skills by joining a soft skills bootcamp that suits your needs. Details of top soft skill institutes are included for your convenience.

18. Get Job Support from Tech Bootcamp

Job Support

Take part in hackathons and contests, demonstrate your technical expertise and maximize your chance of getting hired by a top company. You'll also get job support from the AI bootcamp in which you have enrolled.

* You learn from expert-suggested online bootcamps, learning resources and certification courses provided by top institutes.

* You pay the respective course fees directly to these institutes.

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