Day 17 - International level Bootcamp on DSA for DeepTech

追加: 2026-05-24

[00:09:28]A very good evening to day 17 of international level boot camp on DSA for deep tech.

[00:09:35]Ladies and gentlemen, today it gives me immense pleasure to introduce a dynamic professional, an inspiring technology leader and a passionate lifelong learner, Mrs. Santos Kumari. Ma'am with more than 18 years of rich experience in the software industry. She has built an exceptional career marked by dedication, innovation and continuous growth.

[00:09:57]Currently associated with she has consistently demonstrated excellence in technology transformation, cloud platforms, AIdriven solutions and enterprise innovation. Her journey is a perfect example of how passion and preservance can create remarkable success. From earning a gold medal in computer science engineering at CBIT to achieving prestigious certifications from AWS, Microsoft Azure and Delix. She has continuously upgraded her expertise to stay ahead in the evolving tech world. But what truly sets her apart is not just her technical brilliance. It is her leadership mindset and commitment to inspiring others. Whether it is speaking at industry firms, contributing to AI innovation initiatives, monitoring teams, she continuously innovates professionals and young minds alike.

[00:10:51]Known by colleagues as intelligent, reliable and exceptional communicator, she represents the perfect blend of knowledge, humanity, and leadership. Her contributions in AI, flight, cloud computing, DevOps and digital transformation continue to create meaningful impact across organizations and communities. Ladies and gentlemen, please join me in giving a warm welcome to an inspiring leader and achiever, Miss Santoshi Kumari.

[00:11:19]Ma'am, welcome ma'am.

[00:11:25]>> Thank you. Thank you, Anusha.

[00:11:30]you able to hear me?

[00:11:33]>> Yes, ma'am. You're audible.

[00:11:37]>> Thank you so much for your warm welcome, Anisha.

[00:11:44]>> Thank you, ma'am. Welcome.

[00:11:49]>> Can I go ahead?

[00:11:52]>> Yes, ma'am. The stage is all yours, so you can continue.

[00:11:56]>> Yeah. Okay. Good. So, how's everybody doing?

[00:12:05]Can they unmute Anisha?

[00:12:07]>> Uh, no ma'am, there they can't unmute themselves. Uh, so you can continue with your session. Uh, if they have any doubts, they can text.

[00:12:16]>> Sure. Sure. Got it. Got it. Okay. So, uh, so let's see. Um so how many uh have of you have used uh any AI tools like chat GBT, Gemini, Copilot?

[00:12:31]You can respond through you know uh this icons.

[00:12:35]Yeah.

[00:12:38]Yeah. Yeah. Yeah. I'm not surprised.

[00:12:40]Yes. So everyone is using it. Correct.

[00:12:43]So it's it's everywhere. So that is the you know technology that is uh you know uh in boom right now and it'll be there like you know for a long time now. So what do we do? So what do we do is basically uh upgrade upskill ourselves to get there right. So currently uh what you're doing like you know the data structures and algorithms. So that is the key uh base foundation for everything you you're going to build right. So once you learn these uh DSA algorithms, every AI language speaks this. So once you learn these technical techniques, you will be able to easily understand all the machine learning algorithms. You'll be able to understand all the you know uh the technology behind it, the architecture behind it.

[00:13:32]So it it's not like you know just for you know learning one more language or one more uh you know script scripting language or something but it is the foundation. So as we speak right uh so there are like a lot of uh things happening around us right so there are like you know the new apps that are being built there are new softwares that are being built uh in every sector so even the banks the the you know the ground level jobs they're like you know almost filled with AI systems now right so so what do you think will AI take our jobs will we lose our S any responses?

[00:14:20]Yes. No. Maybe.

[00:14:23]No. No. Yes. Yes. Yes. So, so may not be right. Why? Why? Because it will not replace us. It will not like you know uh just take us out and you know some AI systems will be sitting in instead of us. No. But it will be replaced by someone who know AI. Correct? So we have to like you know really upgrade ourselves. We have to use all the almost like you know we have to understand you know how to solve a problem. Basically like you know it's been uh the same case since the beginning right since like you know the days like you know imagine um the days when we had written uh code using cobalt remember the black mainframe screen. So we used to write code like that like you know and let's say uh we learn like C language wherein we have to write from beginning import these libraries print this take the inputs from the user go into a while loop go into a if condition so we'll have to write every uh you know statement and then like you know then came the autofilling right remember like you know few years back we used to have this autofilling saying like you know once you start writing the command it used to autofill for us. So half of our work was like know kind of okay but then uh we got like automation right. So the things that we used to do repetitively repetitively you know the manual work all that got automated we have several automation technologies right selenium playright so many things right so nowadays playright is like you know the most uh used automation technology right so once you you know uh you uh upgrade yourself just think how to solve a problem right basically so let's say like you know uh there's a shopping application Right? A user wants to you know upload all the details like you know whatever the you know fabrics they have like you know the dresses, the jewelry, the shoes for for men and women like know different things. So what does AI do now? What should it do? It should understand the pattern. It should understand that person what they like to wear on you know kind of the place where they're going to like you know if it's office you know they need to wear something professional. If it is you know they're going for some outing it needs to like you know more of active sporting you know kind of things right and if it's some occasion like you know function what and all like you know they they can wear so so AI is solving a problem of like you know what a human does spend a lot of time on it is trying to help us right it will not like you know totally replace but it'll try to help us saying like you know okay this is what the recommendations are so whenever we open Amazon or Rajiora right it it gives us recommendations based on a shopping patterns correct so so in a similar way so uh they also like you know trying to solve a problem of the user whenever they're coming so we'll have to help them saying like you know okay this is what your shopping pattern was so these are your recommendations based on your earlier shopping correct similarly so let's say so we are trying to you know correctly solve a problem for uh you know a US healthcare client Right? So what they would need AI for, right? So they would need AI to understand what exactly is, you know, a requirement for say like, you know, 60 year old.

[00:17:50]They're looking for some Medicare plans, right? So they will be looking for help in like getting a policy uh to understand how they can full refill the you know drug prescriptions, how they can schedule appointments.

[00:18:04]Nowadays it's all agentic right. So agents are like you know everywhere. So for for example uh you know um we need to get a call from our insurance partner saying like you know okay you will have a u scheduled appointment for your you know annual checkup right so we could use AI to set up all those agents isn't it? So, so as you learn like you know all these uh algorithmic structures that you're learning and then you'll learn some languages like python right so and then from there you learn some frameworks so how exactly all this fits in right so there are many uh websites like you know kaggle.ai AI maybe you would have heard already right. So just take any you know example from there.

[00:18:50]Try to take a small uh language model from there like you know whatever it is like you know is it amama or is it like you know uh there are many language models as such right like uh so earlier when I was saying for the wardrobe selection there is one uh you know machine learning algorithm for the wardrobe specifically you know and there are some um LLMs for languages. So when we have to you know translate something like you know from Telugu to Canada or Canada to you know Japanese whatever right so there are language models for that too. So just imagine when you're opening like you know an app and let's say we will customize it for our own language and and imagine how it'll help like you know even like you know uh a very um what do we say basic person like you know who doesn't understand many languages or English even they'll be able to you know connect with everyone they'll also be you know able to understand okay like you know okay there's so much knowledge lying around right so even they'll be able to you know uh get onto this technology and you know grab some information.

[00:19:59]Okay. So um so I want you to you know probably um uh wait for your you know some of your questions. If you want to have any questions, you can type in the chat.

[00:20:27]No questions. Okay.

[00:20:35]Ma'am, are there any questions?

[00:20:40]No, I don't see any questions over here.

[00:20:44]Maybe if you want to unmute Anusha, will that be possible? We can take questions.

[00:20:49]>> Maybe. I don't know because there's a session after this.

[00:20:52]>> Okay. Sure. Sure. We'll wait for >> I have to ask. Yeah. Yeah. Sure.

[00:20:58]>> So, shall we continue, ma'am?

[00:21:00]>> Yeah. Sure. Yeah.

[00:21:02]>> Yeah. We sincerely thank you Santoshi ma'am for gracing this occasion with your valuable presence. Your inspiring words, guidance and encouragement truly motivated everyone and added value to this event. We are grateful for your time, support and contribution. Thank you once again ma'am for being the part of this event. Uh now I request everyone to switch on their cameras for a group pick.

[00:21:24]I repeat I request everyone to kindly turn on their cameras for a group pick.

[00:22:27]So, please let me know if you're done with the group so wonderful to see everyone.

[00:23:59]Thank you so much ma'am.

[00:24:03]>> Thank you. Thank you. Have a wonderful evening everyone.

[00:24:06]>> Yeah. Thank you so much ma'am. Uh now I request our resource person Madus to kindly continue the session.

[00:24:16]The resource person will join us in five five minutes. So kindly stay.

[00:24:34]>> Good evening everyone.

[00:24:40]>> Good evening sir. Uh the session is all yours. Thank you.

[00:25:22]Fine uh Tim today I'll be giving the assignments on the things uh we discussed in the last couple of days.

[00:25:29]Okay. So actually uh last one week we have discussed somewhat advanced topics right I'll be giving the assignments one by one now you need to work on those things and you need to share them. So yesterday for yesterday uh every day whatever the code you are writing I'm observing and I'm noting it down. So on the same manner today also you need to work on the assignment you need to share me and if there is any like related to backtracking or any grains or permutations if you have any questions or any doubts I'll be connecting with you on Monday right anyway at the time tomorrow anyway there is no session right so tomorrow uh anyway we won't be having any sessions you can work on the assignments okay now I'll be giving you the questions you need to work on it and you need to update me uh like whether you're able to work or not if you're having any questions you need to let me know fine now I'll be giving the assignment questions like I'll be sharing it now you can work on it and Monday like if you are having any doubts on see till now whatever we discussed right on top of it advanced topics next couple of days we are going to discuss I think today is 22nd right so all these days whatever we discussed for all these things somewhat advanced concepts we are having in DSA those things we are going to discuss.

[00:26:48]Getting my point?

[00:26:53]>> Okay, just give me a second. I'll be starting giving the questions. You need to start working on it.

[00:30:30]team. Now I'm giving the assignments one by one. You need to work on it and you need to share me the code. Okay. So if you're good with these things, right?

[00:30:36]Somewhat advanced concerts we are having in DSC. Those things I'll be discussing from Monday onwards. So I'm sharing the questions. Just uh check these things everybody.

[00:30:48]Circular link list is important to practice.

[00:30:52]If you have idea, it would be better.

[00:31:00]Okay.

[00:31:18]Look at making Are you able to see the questions?

[00:32:05]Everybody can you please check it once nquins problem is not explained. Yeah, I'll be discussing about Nquins. If you are having any question that is the reason I'm not giving any assignment on Nquins, I'll be giving I will be explaining this one on Monday. Today completely you can work on permutations three. Okay.

[00:32:22]Related to Nquins, I'll be discussing with you on Monday everybody just uh you're able to see the questions in chat box right can you start working on it now one by one. So once after the completion of one code you can share the remaining things.

[00:32:40]Yeah, start working on it.

[00:45:49]I'll be sharing the link of Eclipse now.

[00:45:52]Give me a second.

[00:46:07]Guys, everybody share it. Please share the code now.

[00:51:08]Guys, how many of you are working? Only 10 members have shared the code till now.

[00:51:18]So, Anand what I'm sharing is I have given the couple of questions for assignments.

[00:51:23]Everybody is sharing the code after working on it. uh like uh Arun has shared the code.

[00:51:36]Sure, ma'am. Once again, I'm sharing the list. Give me a second.

[00:52:25]Glasses. Glass. Glass. Water. Glass. No.

[00:52:29]Still glass.

[00:52:31]Huh?

[00:52:34]Put in I have shared the questions again. Can you please check? Huh?

[00:55:42]Why only 30 people has shared? What about others?

[00:55:49]I shared the questions again. If anyone misses, please check it.

[00:55:55]35 people has shared till now. What about others? Huh?

[00:56:00]I want the code and output both the things everybody. Okay.

[00:56:09]Today, yeah, today I'm not taking any session completely you need to work on assignments. Monday I'll be connecting and if you have any questions in today's assignments I'll be explaining and regarding ENQ also I'll be connecting with you on Monday. Okay. completely today. You need to practice whatever the questions I have shared those things you can work and apart from if you are done with those things you can drop off for today. Okay. Yeah.

[01:00:22]complete this assignment now. So whoever done right just prepare a document on that Monday and I'll be checking it.

[01:00:28]Okay. So today you're working today right? I'll be validating on Monday. Okay. Okay, just what you need to do is whatever the code you're writing just uh paste the code everything in word document Monday you need to show me first 10 15 minutes >> I'll be validating and we'll be connecting on Monday okay >> yeah I'm stopping now let's connect on them.