Gain work exposure as an ML Engineer in a risk-free way at Google. This work exposure program helps you get immersed in simulated workplace scenarios to acquire and apply real-world knowledge of AI.
New-Age Technologies
Machine Learning Engineer
(Bundled programs available at a 50% discount)
Gain work exposure as an ML Engineer in a risk-free way at Google. This work exposure program helps you get immersed in simulated workplace scenarios to acquire and apply real-world knowledge of AI.
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.
ML Engineer Job Role
Real-World Work
Your Network
Work Opportunity
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.
Simulation immerses you in a workplace environment to explore the job and case study. Instructions that help you to complete the job simulation and case study with ease are included here.
Job simulation 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.
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.
Study the real-world problem, devise innovative solutions, learn how to apply what you learn and demonstrate your expertise in the assigned task.
An informational interview is a brief meeting between a person who wants to investigate a career and a person working in that career. 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.
This work exposure program not only allows you to explore the job role and work on an interesting assignment but also gives you the chance to demonstrate your abilities to the potential employer.
A beautiful intro to the field of AI. Has given me utmost confidence to pursue Artificial Intelligence.
Very insightful. A great introduction for a newbie and dispels one's fears about artificial intelligence.
An amazing experience to learn at my own pace without forcing me into a rigid schedule.
I was curious about gaining work experience in AI. This program provided me with useful resources.
Each module was interesting and motivational. This encouraged me to finish learning way ahead of my schedule.
I'm now clear on how AI is used in real-life applications. Had a hands-on experience.
Any college student or a graduate can undertake this work exposure program.
You must have basic to intermediate knowledge of Artificial Intelligence to participate in this work exposure program.
You may find it difficult to do the company task unless you have at least a basic knowledge of AI. Still if you just want to explore this job role, you can complete the job simulation that is built with beginners in mind.
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 sacrifice 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.
While there's no such assurance, you might be provided with a long-term internship or job opportunity by the host company. This is done at the sole discretion of the host company.
Yes, it is 100% online. A reliable internet connection is required to take this work exposure program.
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.
You can access the program from any device of your choice: PC, laptop, tablet, or mobile phone (iOS, Android, and Windows Phone).
You will get co-certified by Truly Responsible and the host company on completing this work exposure program.
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.