Artificial intelligence
₹599

(Bundled programs available at a 50% discount)

How RankBrain Helps Google Understand Search Queries

Gain work exposure as an ML Engineer in a risk-free way at Google. This work exposure program helps you understand the job role, get immersed in simulated workplace scenarios and gain real-world knowledge of AI.

What You Do

1

Get Work Exposure

Gain basic work experience as an ML engineer and learn what it is to work in a tech company like Google.

2

Identify Job-Specific Skills

Identify and improve hard, soft and cognitive skills required for the ML engineer job position.

3

Gain Practical Knowledge

Understand how to apply your job skills in real-world work in a simulated workplace environment.

4

Start Your Career

Get certified with a chance to intern or full-time work at Google by demonstrating your expertise.

Real-World Case Study

Gain insights into how a challenge is solved in the ML engineer job role through this simulated case study.

The Background:

Have you ever wondered what happens when you search for something on Google?

A piece of elaborate machinery kicks in and starts searching for the results that would be of most value to you.

The Challenge:

Almost 6 billion searches take place on Google every day (2021). Even though Google’s search engine is the most popular one in the world, handling countless queries on a daily basis, research shows that 15% of the incoming queries are new.

In other words, Google has never before processed 15% of what people enter into its search bar.

The Solution:

RankBrain was implemented into the core algorithm back in 2015 to process these queries and return more accurate and useful search results.

It attempts to understand what those queries mean and use that understanding to provide better answers.

  • Program Duration:   Around 5 hours
  • Access Availability:  30 days
  • Download Material:  Case study in PDF
  • Learning: 100% online on your mobile or computer
  • Schedule:  Self-paced and learn on your own schedule
  • Level:  Pre-Intermediate
  • Language:  English

Explore

ML Engineer Job Role

01

Experience

Real-World Work

02

Grow

Your Network

03

Gain

Work Opportunity

04

Work Exposure Program Schedule

1. Job Overview

Career Overview

Go through an introduction about AI including how AI learns and works, levels and subsets, tools used, key skills associated with AI, and AI career outlook including the salary, job titles and prospects.

2. Case Study Instructions

Test Driving Instructions

Get immersed in a simulated workplace environment to explore the AI job through a case study. Instructions that help you to complete the simulated real-world case study with ease are included here.

3. Real-World Case Study

How RankBrain Helps Google Understand Search Queries

Google RankBrain

Cultivate an idea about the company, industry, job responsibilities, revenue model, vision, mission, and company culture and gain insights into how a challenge is solved in the given job role through a simulated case study.

4. Job Shadowing

Basics

Job shadowing allows you to shadow and closely observe a 'Day in the Life of' an employee's routine through a video or an immersive study. It is an informal way to learn what it is like to perform this job and develop a deeper knowledge and understanding of it.

5. Job Simulation

Task from Google

Experience

Study the real-world problem, devise innovative solutions, learn how to apply what you learn and demonstrate your expertise in the assigned task.

6. Informational Interview

Assessment

The purpose of an informational interview is to gather information about the industry, job role, career progression, challenges, required skills and learn about the professional's career journey.

Added Benefits

While exploring the job role and working on interesting tasks, you also:

Learner Reviews

FAQs

Who can take this work exposure program?

What is the eligibility criteria?

While not mandatory, having a basic understanding of AI is recommended for this work exposure program.

What if I'm completely new to AI?

If you are just starting, you might find some concepts challenging and have difficulty completing the company's tasks. But no worries! We have included explanations wherever necessary to make even a novice learner understand them. After all, our objective is to support even newbies explore AI.

Undertaking this program as an absolute beginner allows you to explore the job role and complete all modules designed for beginners, except for the job simulation module, which includes the company task. This exploration helps you understand what it is like to work in the AI field.

Can I pursue a career in AI from any background?

With the right training, practice, and dedication, anyone from any background can learn and pursue AI. However, it is important to build foundational subject knowledge before learning the key skills associated with AI. Remember that you might encounter a steep learning curve depending on your current position.

What type of resources are included to improve relevant skills?

Resources include links to free and paid learning opportunities from third-party websites and vendors.

Why should I pay for this work exposure program rather than get paid?

You pay only a nominal fee of ₹599 to take this work exposure program but the experience you receive is priceless. An employer is likely to recognize the effort involved and attribute your hard work to the task. It also demonstrates your sincere pursuit in a field, as pay did not dictate your work. An unpaid work exposure can also lead to a paid position with an employer in the future.

Will I get a job on completing this work exposure program successfully?

While there's no such assurance, you might be provided with an internship or a job opportunity by the host company. This is done at the sole discretion of the host company based on your performance in the company task.

What if I don't get any internship or job opportunities upon completing this program?

Even if you don't receive any opportunities after completing the program, you will be added to the company's talent pipeline for future job openings. Additionally, the certificate you receive helps you get job opportunities from other companies.

What additional benefits do I receive besides the internship and job opportunities?

This job exploration helps you experience the AI field and decide if a career in AI is right for you. You'll also be provided with necessary resources that help you improve your skills and qualify yourself to pursue an AI career.

Is the work exposure program 100% online?

Yes, it is 100% online. A reliable internet connection is required to take this work exposure program.

Should I download any app or software to access the work exposure program modules?

No download or installation is required, and the work exposure program is browser-based. The entire program can be completed from your browser, so you don’t need to install any new software or hardware. For the best experience, we recommend using latest versions of Chrome, Safari, or Firefox.

Which device should I use to access the work exposure program?

You can access the program from any device of your choice: PC, laptop, tablet, or mobile phone (iOS, Android, and Windows Phone).

Will I get a certificate?

You will get co-certified by Truly Responsible and the host company on completing this work exposure program.

Can I add this work exposure to my resume?

You can very well add this work exposure and add value to your resume. Including an unpaid work exposure in your resume has the potential to reflect positively on you.

What is the benefit of opting for bundled work exposure programs rather than taking a single work exposure program?

You'll understand how AI is used in various industries giving you wider exposure.