Yes, it’s definitely possible as I personally did it in my third yr of school. As I began with scratch in ML that point, we’re assuming you to even be very latest in AI.

Following is an in depth step-by-step guide on how you possibly can bag your first AI internship.

1) Get into student clubs organized by top corporations reminiscent of Google DSC, Microsoft, GitHub, etc.

This will provide you with a very good platform to attach and learn from various folks.

2) Start learning Pytorch/Tensorflow through Coursera/Udemy.

Yes, even should you are absolutely latest to ML.

Theoretical ML courses usually are not much helpful if you’ve gotten less time grabbing an internship.

As a substitute, specializing in implementation will construct your intuition in addition to confidence with ML concepts. These are the highest things which startups take a look at when hiring.

Nonetheless, as theoretical ML questions will also be asked in interviews, it’s best to concurrently work on constructing each theoretical in addition to implementation skills.

3) Have not less than 1 hero project.

This will provide you with an edge and likewise help with discussion points with an

show you how to divert the eye of the interviewer to this project, hence making it a bit easier for you.

4) Concurrently teach the newly learnt ML concepts.

Remember my first suggestion to affix a community !!!

Well, use the chance to show these concepts to your fellow college students.

Spreading knowledge is the most effective teacher indeed.

It can force you to grasp concepts deeply and hence in turn show you how to prepare for ML roles.

5) As you’re preparing, actively use LinkedIn and begin observing other students who’ve similar ML internships and reach out to them to learn what they did right.

6) While learning and constructing a project, you can even get an idea of which domain you wish to work in — CV, NLP, Data Science, etc.

7) Once you’ve gotten some idea of your interests, create an excel sheet of startups and firms you desire to to work at.

Don’t worry, you possibly can be a bit crazy to think about larger corporations despite the fact that they is perhaps out of your range in the mean time.

In any case the crazier ones are those who actually find yourself doing something different and large !!! (Sorry for modifying the long-lasting Jobs quote 😂)

8) Approach their employees on LinkedIn Concurrently.

Now this process can take even 2–3 months. So be certain that you begin using LinkedIn concurrently.

I personally had swapped LinkedIn scrolling with Instagram scrolling 😁.

9) Once you place up a pleasant resume together with your projects and volunteering experience and reach out to numerous people, start giving interviews.

Be brave to avoid it or say No if it doesn’t meet your interests.

1. Have a straightforward 1 page resume should you are an undergraduate
2. For every position or project, mention the yr during which it was done
3. Attempt to tailor the projects based on the roles you’re applying for —
   highlighting NLP, computer vision, machine learning projects based on the role will go a good distance and helps with quick shortlists
4. Include links to your Linkedin, technical blogs, github page, any competitions or hackathons you’ve gotten participated or won
5. Before the interview — brush up on every part mentioned within the resume. There ought to be no section where you don’t recall what was done within the project

Learning increases exponentially while you work on projects of your interest.

So avoid being highly desperate. I understand it’s difficult but be patient.

10) Benefit from the offer letter !!!

Yes, that is how easy it’s to crack an ML opportunity in 3–4 months.

This process should work for almost all, although there are all the time exceptions.

BONUS !!!

We make your journey simpler by providing you a readymade list of Indian AI Startups.

Here is a listing of cool AI startups → AI Startups (India)

Be at liberty to achieve out to us on Linkedin for further queries: Aman Goyal and Kshitij Agrawal.