# Introductory Session Recording

course: Academic Information
module: Academic-Information
type: transcript
video_url: https://personal-learn.armco.dev/files/_Recordings/Academic-Information/Introductory_Session_Recording.mp4

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[00:28:53] Okay, so right now, we are not too much worried about forming the groups tomorrow.
[00:28:57] Or maybe, uh, after 2 weeks, it's still a long-term thing.
[00:29:03] So, let's wait and see.
[00:29:08] Then, this is just some interesting things, I thought. This is just the word cloud of the company names.
[00:29:15] Uh, of all of you, and since it's becoming a little…
[00:29:19] uh… cluttered.
[00:29:22] So I also had the company names done on Citi.
[00:29:26] So you can see you have a lot of people from Bangalore coming from
[00:29:30] different industries, like Amazon, Wells Fargo, Accenture.
[00:29:36] JP Morgan…
[00:29:38] And Yoko Gava, Ernsten Young.
[00:29:41] And so Phillips, and many more.
[00:29:45] Uh, so by looking at these, um, industries, you can have an idea about the
[00:29:50] research interests and expertise of the people.
[00:29:53] Similarly, from Hyderabad, we have people from Salesforce, multiple of them, F5 networks, JP Morgan,
[00:30:02] Cisco, Optum,
[00:30:04] Tyler, and then Pinaka…
[00:30:07] Uh, DBS Bank, and so on and so forth.
[00:30:10] We are a couple of people, uh…
[00:30:13] So I've shown the, uh…
[00:30:15] First 4 or 5 most, uh…
[00:30:19] populated regions.
[00:30:22] And the other regions I haven't shown.
[00:30:24] Puri, also, there's a big cluster of people, again, from Accenture.
[00:30:30] Then we have CDAC, or Center for Development or Advanced Computing.
[00:30:34] IBM, Metro, GSC, HSBC, Equal Exports, and so on and so forth.
[00:30:41] And then we have the Delhi NCR region, where we have Harman, Ivai, and Jung, and EY, I think.
[00:30:48] Must be the same thing. TCS, HCL Tech,
[00:30:52] Aries, LF, ProgCap, and so on and so forth.
[00:31:00] And then we have some people from Chennai, Vitala, Tata Alexi, Bank of America, Service Sparrow.
[00:31:06] And so on and so forth.
[00:31:08] So then, uh…
[00:31:10] Before we take any questions, I will just want to…
[00:31:15] do a stop share here, and I will show you a rough…
[00:31:18] draft of the curriculum, just allow me a minute, and I will pull it up.
[00:31:24] And we'll share the detailed curriculum with all of you.
[00:31:32] Just a sec.
[00:31:44] Okay, so I hope my screen is visible.
[00:31:48] And y'all are able to…
[00:31:50] C?
[00:31:52] So, this is where we are.
[00:31:54] So, mostly, each of the rows stand for the weeks. We will also…
[00:31:59] Populate the week, uh…
[00:32:03] And then we'll share the curriculum with you.
[00:32:06] However, this is a rough curriculum, and the timings and topics might get added
[00:32:11] Nothing gets subtracted anyway.
[00:32:14] So, we have, uh, we'll start with…
[00:32:17] Uh, data curation.
[00:32:19] Another thing I want to add here is…
[00:32:22] Uh, that in this course, I will take you through, uh, in a stepwise fashion.
[00:32:28] Some of you may be working in the area of AI ML, or you may have used
[00:32:33] some functionalities involving that.
[00:32:36] Uh, but if you are sound in the foundations, it will help you to gather the concepts of generative and agentic AI.
[00:32:44] Uh, much better. So, I will start with some basic things.
[00:32:48] If your batch feels that you all have
[00:32:51] We are already familiar, then we can skip something and add something else and all that stuff could be there.
[00:32:58] So, we'll be talking about…
[00:33:00] Data engineering, like handling of missing values, data curation,
[00:33:05] Uh, data visualization and EDA.
[00:33:09] Uh, then dimensionality reduction, and other stuff.
[00:33:13] Uh, then we'll have…
[00:33:17] Uh, and we'll have hands-on session.
[00:33:20] Uh, in each of these.
[00:33:23] So, we'll do different types of EDA, like heat maps, histograms, plots, box plots, violin plots.
[00:33:30] And so and so forth. Uh, then there'll be some master classes, the dates and the exact schedule of the master classes might vary.
[00:33:40] But per month, probably, you'll be having at least one masterclass.
[00:33:44] Masterclass means a class that will be delivered by industry experts in relevant area.
[00:33:50] Uh, this, uh, Foundations of AI and ML module will be followed by
[00:33:56] Supervised learning module, in which I'll be discussing decision trees, random forest,
[00:34:02] Uh, then we'll be talking about classification foundations, similarity matrix, model evaluation.
[00:34:09] There'll be some doubt resolution sessions based on the
[00:34:13] progress of the class, uh, these are shown here.
[00:34:17] But they could vary. The dates could vary.
[00:34:19] Then we have the ML algorithms.
[00:34:22] Just a second…
[00:34:26] Uh, so in supervised learning, we'll talk about different, uh,
[00:34:30] different supervised learning algorithms, and…
[00:34:35] There'll be hands-on for each and every algorithm that we will be covering.
[00:34:41] Uh, then there'd be other algorithms, like KNNIVE,
[00:34:44] And so on and so forth, and they'll be hands-on.
[00:34:47] This will be followed by regression.
[00:34:50] And hands-on. And then there might be some masterclass in between somewhere.
[00:34:56] We'll also, uh, try to cover some part of unsupervised learning, such as clustering using k-means clustering.
[00:35:04] Then, um, we'll have, uh…
[00:35:07] And in-depth discussion about regularization, which is L1, L2.
[00:35:12] That is, Lasso and ridge regularization and cluster validation.
[00:35:18] Then we'll do the hands-on, so every topic that we'll be taking will actually be having.
[00:35:24] Hands-on. I hope all of you are…
[00:35:26] Familiar, you are very much familiar with
[00:35:30] programming in Python, and later on PyTorch.
[00:35:34] Then, uh…
[00:35:36] Again, we'll have some master class.
[00:35:39] Then the next, uh, part will begin, which will be on the deep learning and NLP part. So, we'll have introduction to deep learning.
[00:35:47] That will involve, uh, the topics like MLP,
[00:35:51] activation functions.
[00:35:53] Uh, and so on and so forth, and hands-on.
[00:35:58] Uh, so we'll be taking all, uh, major techniques in deep learning, like, uh,
[00:36:05] Uh, so these are not mentioned here, but I'm telling you.
[00:36:08] Like, recurrent neural networks, uh, convolution neural networks,
[00:36:12] LSTM, that is long-short-Term Memory.
[00:36:16] And, uh, so and so forth.
[00:36:19] And then we'll also be talking about, uh, in depth about back propagation.
[00:36:25] And, uh, how, uh, weights and biases are adjusted by backpropagation during the training phase.
[00:36:32] Because this will be used throughout the course.
[00:36:36] So, all this will be part of your, uh…
[00:36:40] this deep learning session, then we'll start with basics on text data.
[00:36:45] Uh, that will involve some, uh…
[00:36:49] you know, traditional techniques of feature engineering using text, such as TFIDF, bag of words,
[00:36:56] SIBO and all those methods.
[00:36:59] And then we'll, uh, talk about what-to-vec model, uh, for word embedding in NLP.
[00:37:05] Then, we'll have the next module.
[00:37:11] Which will be on… sorry.
[00:37:12] Agentic AI.
[00:37:14] So, uh… sorry.
[00:37:17] on generative AI first.
[00:37:20] So, there'll be some master class.
[00:37:24] Then you start with transformers.
[00:37:28] Uh, in Transformers, we'll actually first, uh, be discussing, uh,
[00:37:32] about attention, that is self-attention and cross-attention.
[00:37:36] Then we'll be talking about, uh, encoder and decoder.
[00:37:40] Uh, then we'll actually do, uh, the transformer part.
[00:37:45] Uh, that is transformer as the full transformer architecture, and we'll have hands-on for each of these.
[00:37:52] In which different problems will be taken.
[00:37:55] For example, uh, if we talk about transformer,
[00:37:58] Uh, it can be used for, uh…
[00:38:01] summarization of text data. So, we'll take some…
[00:38:05] data and case study, or case data, and we'll show how summarization can be done with transformers.
[00:38:14] Uh, this will be followed by, uh, different, uh, transformer-based architecture.
[00:38:19] Which could be decoder only, encoder only, or encoder plus decoder.
[00:38:24] So we have BERT, and then we have GPT.
[00:38:28] And all of them will be followed by hands-on, and then we have T5, which is encoder-decoder, both.
[00:38:34] And, uh, then for the…
[00:38:38] Uh, for the vision models, like, uh, agentic, uh, sorry, generative AI in vision models,
[00:38:45] We'll have RAG, VAE, and GAN.
[00:38:48] And some applications and hands-on for each.
[00:38:52] Then, this will be followed by sessions on Agent TKI.
[00:38:58] Um, yeah.
[00:39:00] So, there'll be some basics of Agentic AI, exploring, orchestration,
[00:39:07] then agentic rack systems…
[00:39:10] And then governance of multi-agent systems, and so on and so forth. You'll have multiple such sessions.
[00:39:17] There'll be some advanced sessions on agentic AI.
[00:39:21] Using Land Graph.
[00:39:25] And then there'll be some session which will be domain-specific.
[00:39:30] Based on whatever your interest domain is.
[00:39:34] And then we'll have the project.
[00:39:36] And, uh, followed by exam, return exam, and…
[00:39:41] project development time will be given to you.
[00:39:43] And then finally, project presentations will be given.
[00:39:47] So, this is how the course is going to be organized.
[00:39:52] We will share this schedule with you.
[00:39:55] So, uh, we'll have to put the weeks there. We haven't put them right now.
[00:39:59] So, uh, but the topics can be shared, uh, mostly right away with you.
[00:40:06] So, this is mostly the way the…
[00:40:09] course will run. Uh, now, uh, uh, you can ask questions if you have any.
[00:40:16] Any questions, any doubts, or anything that…
[00:40:22] Uh, you want to see or talk about?
[00:40:31] Ma'am, this may not be the right question to ask in the first session.
[00:40:35] But do we have any sessions in the last week of December? Because most of us are having.
[00:40:40] lives in a rural company, so we need to plan for some application. So based on our class, we will do it.
[00:40:46] Okay. So, uh, in the schedule that we will share, we will also put
[00:40:53] Uh, some holidays, I could see Sahib Hardwaj had raised her hand, so we'll take you next, Sahib.
[00:40:59] Uh, so what we usually do is, for example, in the current cohort,
[00:41:05] So far, we had only one holiday.
[00:41:08] And that was for the day of Diwali. I mean, the Diwali weekend.
[00:41:12] So, we don't usually take many holidays, but on national holidays, like festivals like Christmas, New Year,
[00:41:20] Diwali and, um, you know, holy might be coming, so…
[00:41:23] Such kind of festivals, we do keep
[00:41:26] uh, you know, a break on that class.
[00:41:31] So, but those are quite minimal. Uh, it won't span over weeks. It might be one session, or…
[00:41:37] the weekend. So, I'll try to put them…
[00:41:39] Uh, you know, in… as part of the…
[00:41:42] detailed curriculum, or…
[00:41:44] Uh, maybe you all can, uh, please indicate
[00:41:48] Uh, when all your company gives holidays, which you
[00:41:53] Which will try to avoid to some…
[00:41:55] Extend, but not to a great extent, I should say, because otherwise we lose time.
[00:42:00] Right? So, I believe that you might be having vacations during Christmas or New Year.
[00:42:09] Yeah, yeah. So, we'll try to avoid that.
[00:42:13] Uh, to the extent possible, okay?
[00:42:14] That's right, yeah, the last week, yeah.
[00:42:16] Yeah, thanks. Osset.
[00:42:17] Hello?
[00:42:18] Uh, so I think Sai had raised the hand, so let him come, and then the next people. So, Simran, I request you to please keep
[00:42:25] Uh, calling people in the order they raise their hands.
[00:42:29] Yeah.
[00:42:31] Hi, ma'am. I would like to know where can we access the curriculum?
[00:42:37] This curriculum is not yet shared with you, but it will be shared.
[00:42:40] In this coming week, I'll just…
[00:42:43] finalize the…
[00:42:44] In the coming week, I'll just…
[00:42:45] topics, and I mean, the topics are final, but dates and all we'll put and share with you.
[00:42:51] Okay?
[00:42:52] Sure. Will that be an announcement?
[00:42:55] Uh, so Simran will take care of that. Simran, please suggest how, uh, that you'll be sharing.
[00:43:04] You can contact Simran for this.
[00:43:07] She'll be putting it across to you.
[00:43:10] Okay, next, who is it?
[00:43:18] So, I think, uh, Richik Saha?
[00:43:24] Good morning. Yeah, you are audible, Richie.
[00:43:25] Yeah, good morning. Am I audible? Uh, I would like to know, uh, whether we will be having classes both on Saturday and Sunday, or only one day in the weekend?
[00:43:34] It will be both days.
[00:43:36] 2 hours per day.
[00:43:39] And uh… in case, uh… I understand that this program, it may go on till December.
[00:43:46] Is there any possibility if anyone who is. who would like to give the presentation earlier.
[00:43:54] Uh, you're talking about your group presentation?
[00:44:00] Uh, so we will have, uh, timing, uh, slotted
[00:44:01] Yeah…
[00:44:04] Uh, for that, do you have some specific condition or specific situation for which you are saying?
[00:44:11] Uh, yeah, I'm actually, uh, I have some… prior commitments, I may… not be available after… Click next here.
[00:44:21] So…
[00:44:22] So, I… what I will do is, once this, uh, curriculum is finalized, after that, we'll, uh, discuss the dates,
[00:44:29] Uh, tentatively, uh, your presentations happen in the…
[00:44:34] Last month, at the end of the last month, we give you one month
[00:44:38] Straight off, and of course,
[00:44:40] We distribute the topics or analyze the topics much earlier.
[00:44:45] So, you'll have at least one month to do it, so you can look at around a period of around 11 months.
[00:44:51] Towards closing, you'll have the presentation.
[00:44:54] So now you have to see your availability. Usually, we try to…
[00:44:58] put all the presentations at that time, and you'll be part of a group.
[00:45:02] So, it will be the entire group that will be presenting.
[00:45:08] Okay, is it possible that, uh. I can make the technical contribution, but if I'm not physically available to present.
[00:45:16] Would that be considered an, uh…
[00:45:19] So, it's mandatory to present because your individual contribution
[00:45:23] comes out when you present what you have done. So, Richik, what I suggest is it's a little too early.
[00:45:30] Maybe as the course progresses, you can individually contact
[00:45:34] And then we can discuss, okay?
[00:45:38] Yeah, thanks. Next, who is it?
[00:45:39] I don't know. Thank you, Mom.
[00:45:46] Is it Vinit?
[00:45:49] Uh, yeah, Vinitia. Uh, just one request, you know, as and when, uh, you can get the books that can be suggested, the e-material that needs to be followed, if that can be shared a bit.
[00:45:59] earlier, rather than waiting for the topics, it'll be helpful for us, is what I feel.
[00:46:03] Uh, so what you're saying is you want to learn about the topics to be covered the next week, something like that, or…?
[00:46:10] You want to have some books or something? I couldn't… can you please clarify?
[00:46:17] It was mentioned that some of the e-materials or e-books, etc. Will be suggested as and when.
[00:46:28] Okay.
[00:46:29] you know, it is, uh, relevant and stuff like that, right? So… Instead of… If that can be shared, maybe we guys can have an idea, or… It can be helpful over the weeks.
[00:46:36] Okay. Uh, so I think some, uh, e-material, uh, is shared or will be shared.
[00:46:43] Uh, Shimran, you will be able to throw some light on this, I think, through the…
[00:46:48] Uh, to the materials that are shared, uh…
[00:46:51] the e-books that are shared,
[00:46:53] by future end. So, can you please add on to this?
[00:46:54] Yeah, so week on week, based on the topics, I think you'll have a demo of the LMS already yesterday.
[00:46:59] So you'll know how your demo looks, how your LMS will look like going forward. So, week on week, you will have all your materials added, you will have the recordings of the session added, the PPT slides that Ma'am will be using in her class, all the codes that she'll be using in her class.
[00:47:13] In addition, you'll also find an optional study guide each week.
[00:47:18] So those optional study guides are basically, like, no, uh, an entire PDF of all in-detail notes of the topic that is covered in that week.
[00:47:36] No, sure, that… I get the point. So, ma'am, maybe if there is something else apart from the, uh.
[00:47:41] material or data that Futurance is sharing, right? Maybe something from your perspective, if that's also there, if you could just maybe share that.
[00:47:49] Okay, I can share a list of books, uh…
[00:47:53] Of course, I don't suggest that you read books,
[00:47:57] Because many a times, people get lost reading books.
[00:48:00] There are so many topics, some have some details, the other has some other detail.
[00:48:05] And then you might get lost, but still, for those who are interested,
[00:48:10] I will share a list of, uh…
[00:48:12] the names of some books, okay?
[00:48:16] Yeah, that'll be great.
[00:48:21] Uh, okay, Sendran, who's next?
[00:48:31] I think he already asked, Richie already asked.
[00:48:33] Yes, ma'am, I already cleared one out. Sorry, I'll raise it on my hand.
[00:48:34] Leitchik, you can ask next?
[00:48:41] good money.
[00:48:42] Yeah, I, uh, good morning, ma'am. Ma'am, uh, is there any specific channel where the communication will flow in?
[00:48:47] Uh, or is it via email only? Like, maybe a Slack channel or anything of that?
[00:48:52] So I think that was discussed at length yesterday.
[00:48:56] Uh, probably, uh, what had been indicated, it would be via email only.
[00:49:03] And also through LMS.
[00:49:04] Okay. Okay, sure, thank you.
[00:49:06] So there'll be… all the notifications will be via email or on the LMS. You can…
[00:49:12] So, LMS is your one place where you can see all the…
[00:49:16] things, all the information.
[00:49:20] Thanks. Next, please.
[00:49:21] Cool. Thank you, ma'am.
[00:49:30] Yeah, sure, please go ahead.
[00:49:33] Good morning.
[00:49:34] Then I go? I wouldn't remember. I have, uh… Two questions about the latest advance in agentic AI, like.
[00:49:38] Are you going to cover the, like, context engineering, MCP, or any… coding agent, like, how the Replitos or any other sites are getting built.
[00:49:49] Although, repetitive tasks are getting added in a coding agent.
[00:49:53] So, uh, whatever we are going to cover, I have shown you.
[00:49:54] kind of thing.
[00:49:58] Uh, other than that, since we have master classes,
[00:50:03] If you wish to have something specific,
[00:50:06] Uh, you can indicate it.
[00:50:09] During the sessions, when we start on Agentic AI,
[00:50:13] And probably we… that can be tried to be covered in some master class. That way, we can do.
[00:50:19] Okay?
[00:50:21] you know.
[00:50:23] Um, good morning.
[00:50:24] Okay.
[00:50:25] But obviously, I don't say that it's a promise that we'll do, but we'll try our best to accommodate.
[00:50:31] Uh, that.
[00:50:32] Okay.
[00:50:37] Um, good morning, ma'am, this is Lokesh here. Am I audible?
[00:50:40] Yeah, you are. Good morning.
[00:50:43] Ma'am, I have a doubt regarding, like,
[00:50:44] what, uh, like, if you have doubt in the middle of the session,
[00:50:48] Uh, Ethan, we want to clarify in the discussion form only.
[00:50:51] Or we can directly send the official mail to you.
[00:50:55] about the clarification of the doubt.
[00:50:58] So, while I'm taking a class…
[00:51:01] What I do is that, uh, in intermediate in between the class,
[00:51:06] You can indicate, either raise a hand, like you… we are doing it today,
[00:51:10] or write on the chart that you have a doubt, and I keep taking doubts in between the class.
[00:51:15] And also after the class.
[00:51:17] So you don't have to wait to send email and all.
[00:51:20] During the class, if you have a doubt, I will allow…
[00:51:23] time, uh, to the students to ask the questions and clarify it there and then.
[00:51:31] Okay?
[00:51:32] Like, I asked for the reason, the iron consumption, right?
[00:51:33] We have only literal or something.
[00:51:36] In that meantime, we need to complete the topic site, that's the advice.
[00:51:40] Yeah, but uh… we'll try to… so I already said that, of course, 2 hours is…
[00:51:46] kept, but uh… many a times, or most of the times, it exceeds slightly, maybe by half an hour or so at least.
[00:51:54] Because, uh, we also try to take Q&A.
[00:51:57] in between, so that you don't go back… go or return.
[00:52:01] After the session with doubts.
[00:52:04] So, I tried to clarify it that way. So, while 2 hours is being returned,
[00:52:10] But it's not exactly 2 hours, it would exceed a little.
[00:52:14] Okay?
[00:52:16] Yeah, thanks.
[00:52:22] Good morning, yeah.
[00:52:23] Hello, uh, good morning. So, this is Dwarakish. So, for each session, will there be any pre-reads that will be shared so that we can come prepared for the session? What is expectation around that?
[00:52:34] Uh, so we usually don't give, uh, pre-reads, uh, because it's, uh, sometimes you read something and you get confused.
[00:52:42] by that thing. So, usually what I would suggest is that
[00:52:47] Uh, whatever I cover,
[00:52:49] No, if it's a hands-on, we share the code.
[00:52:53] Uh, slightly earlier to the session.
[00:52:56] Uh, maybe a day or, you know, some hours before, and we discuss at length, and then it's available with you.
[00:53:03] to see. Similarly, for…
[00:53:05] Uh, the sessions in which I will be covering theory.
[00:53:09] I will be sharing the slides.
[00:53:12] or some summary of the slides that you can go through.
[00:53:15] And then you can ask, uh, in the next turn,
[00:53:19] or whatever doubt resolution terms. So, this is how it is.
[00:53:22] If you wish, we can provide the topics.
[00:53:25] in advance, otherwise you also have…
[00:53:28] Uh, because the curriculum will be available with you.
[00:53:38] But we go so far, uh…
[00:53:39] And one other question is, like, uh, so are we doing… are we planning to do all the hands-on in the, uh, Jupyter Notebook, or we are expected to have some sort of local setup?
[00:53:43] No, so, uh, as of, uh,
[00:53:47] As of now, we don't expect you to have any local setup. If you have, it's well and good.
[00:53:54] However, mostly we'll be doing on a common platform kind of thing, like Colab.
[00:53:59] So, yeah, so all of the… you are in sync with whatever is being done.
[00:54:00] Got it.
[00:54:05] Thank you.
[00:54:11] Yeah.
[00:54:12] So my question is a long-duration course, and I believe there were a lot of changes in the AI world. So, you have shared the master plan, but would there be any changes, or.
[00:54:22] So, mostly, the plan will… we will try to adhere to what, uh, whatever the topics are shown.
[00:54:23] addition to that.
[00:54:29] Because these are the topics that we promise that we will cover.
[00:54:33] Obviously, this world is very… the world of AI is very volatile.
[00:54:38] Uh, things can keep coming in, but by adding or subtracting,
[00:54:44] Because when we add, we'll also have to subtract to maintain the timeline.
[00:54:47] Uh, then it becomes a little difficult, because there are expectations of everyone as a class
[00:54:54] that certain topics will be covered in class.
[00:54:57] So, it will be difficult to add…
[00:55:00] Maybe, uh, if possible, if there's a lot of requests of a lot of people, we can try to…
[00:55:07] accommodate in the master class, if possible.
[00:55:10] But we will mostly adhere to whatever is being shown.
[00:55:14] As part of the curriculum.
[00:55:16] So that curriculum, we will not change substantially.
[00:55:22] masterclass, or maybe an extra class sort of a thing to cover.
[00:55:27] Uh, if it is really significant.
[00:55:28] Uh, so, uh, Deepak, all the topics that are included have been…
[00:55:34] Included, keeping in mind the requirements of the industry, the background of the
[00:55:40] learners and all that thing, and…
[00:55:42] The interest, as shown by the previous cohorts. So, it will be difficult for me to promise right now any extra classes or anything.
[00:55:50] of that kind. However, as I said that
[00:55:55] We will see if we can accommodate.
[00:55:56] But it's not… I cannot promise it.
[00:55:59] That, uh, you know, so that you don't get misguided in that way.
[00:56:04] Okay.
[00:56:07] Yeah, thank you.
[00:56:12] Good morning, Mrs. Uh, so, um… from yesterday's session, I could understand that, uh.
[00:56:19] But this is regarding certificate. We are getting an online certificate from IIT Roki, not a hard copy.
[00:56:25] Mm-hmm.
[00:56:26] So, uh, in this regard, how we can authorize it, like, uh… Because this is a world of, like, anyone can mock a certificate, right? So, how we can authorize it?
[00:56:39] Uh, so I think that, uh, there are, uh, these, uh…
[00:56:44] So, it does have, uh…
[00:56:47] I don't recollect what it is, but you have these, uh…
[00:56:51] I'll have to go back and tell you what it is. They are certifying
[00:56:57] You know, there are certain…
[00:56:59] Uh, digital, uh, there are certain digital ways to have that…
[00:57:04] So you can open it up and see online and all that will be there.
[00:57:08] What I suggest… I mean, what I feel is, but I'll have to come back to you, because I don't know the exact… I don't de-collect the exact word, but
[00:57:17] So, uh, I think that…
[00:57:20] should be there.
[00:57:22] So, you mean, uh, some digital signatures, uh, from IoTL will be there?
[00:57:25] Yeah, some… yeah, something of that sort will be there.
[00:57:28] Uh, okay, so I'll, uh…
[00:57:29] Okay.
[00:57:32] You can just contact Simran, and I'll try to, based on that, because we may otherwise miss… I'll try to find out.
[00:57:39] And let you know, okay?
[00:57:40] Sure. Sure, thank you so much.
[00:57:43] Yeah, thank you.
[00:57:46] Okay, Rupesh.
[00:57:50] Yeah, hi, ma'am. Good morning. Yeah, my doubt is, like, uh… for, like, a project or group project. So, will we get any assistance?
[00:58:02] Let's from your side, like, uh, how to, uh… like, uh, like, any project list or something, or… on how to proceed with those projects, or something.
[00:58:03] put money.
[00:58:13] So, uh…
[00:58:15] The way we have planned is that, uh…
[00:58:18] Uh, the list of projects…
[00:58:21] Uh, right now, it's not yet finalized. It could either, uh, come as proposals from the learners, or it could be distributed by us
[00:58:31] I haven't yet finalized this.
[00:58:34] So, once you have the topic and it is distributed,
[00:58:37] And you have a final topic, your team has a final topic, then you have to start working on it. So what all you will be required to do
[00:58:46] I will indicate that.
[00:58:48] However, uh, there are no separate mentors, at least from ITRoodKey, that
[00:58:53] Uh, that I can, uh, you know, allocate like that. So we could have some doubt resolution sessions where
[00:59:00] If you have certain doubts related to the project execution,
[00:59:08] Uh, so we can, uh…
[00:59:10] So you can ask. So that doubts can be clarified, so that you can proceed in the right direction.
[00:59:17] So that we can have.
[00:59:19] Okay.
[00:59:21] Okay. And also, that, uh, syllabus, you have shown, like, uh.
[00:59:25] Whether that include a deployment part as well, like, apart from development.
[00:59:31] Or, like, uh…
[00:59:32] So, we'll be talking about, uh, development only, deployment in real time you want to…
[00:59:38] See? So…
[00:59:40] Yeah, so I don't think deployment is part of it.
[00:59:41] Yeah, that is.
[00:59:44] Uh, so far, I could not see it, and I don't think it is part of it.
[00:59:49] However, you should know how to develop it. Once you know how to develop, you can deploy also.
[00:59:55] in the production or whatever environment you're having.
[01:00:03] Yeah, thank you.
[01:00:04] Okay.
[01:00:06] Anyone else? Any other doubt before we close for today?
[01:00:10] Okay, Chandra Shekhar.
[01:00:14] Good morning.
[01:00:15] Hello, ma'am. Good morning. Hello, man. Question was, like, is there any specific license will be provided to us for practice?
[01:00:21] Um, no, so most of your coding, or hands-on,
[01:00:25] will be on open source.
[01:00:27] Okay.
[01:00:28] So, yeah, so we will not have any proprietary things, because that's really difficult to obtain and to provide also.
[01:00:36] And even if it is there, then…
[01:00:38] Uh, you know, how to utilize and all that stuff. Those issues come up. So, everything open source.
[01:00:45] Okay. Okay, thank you.
[01:00:53] Okay, anyone else?
[01:01:03] So, if there are no further questions, then probably we can close for today.
[01:01:08] And we'll continue next week.
[01:01:11] Uh, with the topics.
[01:01:13] Uh, and we'll go on building them step by step.
[01:01:17] And hopefully, with strong foundations, you'll be able to build upon your
[01:01:23] generative and agentic AI foundations also very nicely.
[01:01:28] Uh, I will indicate the…
[01:01:32] time of the session well in advance, so all of you can
[01:01:34] Uh, make yourself available.
[01:01:37] Okay, thank you, thank you very much.
[01:01:40] Thank you all, have a great day.
[01:01:43] Thank you, bye-bye.
[01:01:44] Thank you for the content.
[01:01:45] Thank you, ma'am.
[01:01:47] Thank you.
[01:01:48] Thank you, Will.
[01:01:49] Thank you. Thanks, Ellie.
[01:01:50] Thank you.
[01:01:51] Yeah, thank you, thank you.