0:02 So I got into Google at the age of 21.
0:04 Got into Google. I got the offer in
0:07 2023. Now in 2026 things have totally
0:09 changed, right? AI is everywhere. AI can
0:12 code. AI is winning global competitions.
0:14 AI can go ahead and do everything that a
0:16 person human engineer ever can. The
0:18 question is like what are the skills
0:20 that a company like Google is looking at
0:22 today if they want to select candidate.
0:24 So in this video I'm going to give you a
0:26 complete 2026 road map of what you have
0:28 to do to get your dream job at Google.
0:30 Quick disclaimer, this road map is going
0:31 to differ based on where you are
0:33 currently in your journey. So if you're
0:34 a student or if you're a working
0:37 professional or if you are someone who's
0:39 totally new to tech and AI, then this
0:41 road map is going to differ a lot. So
0:42 the road map that I'm going to give you
0:45 is going to be more student specific and
0:47 working professional specific. If you
0:49 are someone who's starting totally from
0:50 scratch in tech and AI, I would suggest
0:52 that you go ahead and check out my
0:54 previous videos that I have made on 6
0:56 months road map and 3 months road map.
0:57 that will give you a complete breakdown
0:59 of how you can actually become a
1:01 software engineer and get a good
1:03 package. This video is going to be
1:05 solely focused on people who do have
1:07 knowledge about tech and AI and want to
1:09 get into Google. So, let's get straight
1:11 into it. Number one thing that you need
1:13 is your resume, right? Your résumé is
1:15 going to be the entry point that will
1:17 get you shortlisted. And the thing that
1:20 you need to focus on is okay, I have my
1:22 rumé, but what do I add in my resume?
1:24 That being said, the college that you're
1:25 in and the skills they teach does
1:28 matter. Most of the colleges are still
1:30 stuck on teaching you C. While Mirage
1:32 School of Technology has totally changed
1:34 the game for colleges. It launched last
1:36 year and now it's entering its second
1:38 year and Mai School of Technology made a
1:40 lot of promises. They said free MacBooks
1:42 for all students, coding from day one,
1:45 access to AI tools, mentorship from
1:47 experts. But is it really true? Let's
1:49 take a look. Students studying there
1:50 currently are already making projects
1:52 from their MacBook. Mentors are working
1:54 on the students coding skills from day
1:56 one which makes them an early learner. I
1:58 can honestly tell you this is the
2:00 fastest play to get started with coding
2:02 early and don't trust me listen to the
2:04 students who are already working there
2:05 and you can see it for yourself. They
2:08 get access to 15 plus AI tools which
2:09 preps them for Mangle level jobs and it
2:12 is absolutely needed right now and all
2:13 you need to be eligible is you need to
2:16 have 50% or more in PCM. So check out
2:17 the link in the description or in the
2:19 pin comment below if you're serious
2:21 about your man prep. And now let's get
2:24 back to the video. So in your resume the
2:26 project should be very very focused on
2:28 AI. Maybe you have built some agent on
2:31 your own. Maybe you have added LM on top
2:32 of something. Maybe you have built a rag
2:36 model. So if you have integrated AI into
2:38 anything, if you have integrated added
2:40 LLM on top of something or maybe you
2:43 have built many apps using replet or
2:44 some other wide coding tools like
2:47 cursor, claude, then that is going to be
2:49 very very important and make sure that
2:51 you mention in the projects. So in the
2:53 tool section you mentioned that you have
2:55 used these these tools which is like
2:56 whether you've used claw or you have
2:59 used ripplet or let's say if you are
3:01 building using llms then you mention
3:03 exactly what inference engine you used
3:05 what model you used why did you use that
3:07 model what was the percentage
3:09 improvement what is better from the
