Complete Agentic AI Course Plan | Complete Learning Path

Added: 2026-05-12

[00:01:42]Okay. Uh, hi everyone. I think I'm wonderful to all of you. Let me chat.

[00:01:46]Thanks.

[00:01:58]Am I audible, guys?

[00:02:06]Yeah. Hello. Hello. Pratik, Omar, uh Amin, uh so many people have been joined.

[00:02:16]Thank you guys for joining.

[00:02:20]Uh we'll be waiting one more minute so that um other people can also join and we can start uh with our discussion.

[00:02:30]Okay. So I think you have probably seen uh the title of this um live session. Basically um I have started a complete PTI course on my YouTube channel.

[00:02:48]um but many people has some of the query. Um so in this session I'm going to um clarify all of your query. I'm going to give you the entire plan for this particular course like what are the things I have planned for from myself and um I'm also going to discuss about the requirement okay you need for this particular course. So these are some common questions guys I got u um I mean from some of my video okay I think I have uploaded four videos so far and I have seen uh people are having this kinds of query a lot so that's why I thought why not I can uh I can contact the live session and I can clarify each and everything and today actually I'm in my office lab uh so I have joined from my laptop probably I think you will see that my microphone is also not good um because um um at my home actually I am I'm having the entire setup okay with good microphone and all but uh I think it is audible right to all of you am I audible guys if everything is fine then we can start with the discussions So, how many people have already started with my playlist guys? The uh complete aenti uh course playlist. How many of you have started with?

[00:04:26]Okay, I can see many people have already started.

[00:04:30]Great.

[00:04:47]So make sure guys please try to uh support uh this uh channel and if you are liking the content definitely uh you should also share with your network so that other people can also get the opportunity uh they will be also able to learn these are the concept. Okay. Yeah.

[00:05:06]Hi Haras. Thank you for joining actually I came for a competition um competition here. Uh there is a robotics competition is going on. So uh from my uh actually I'm I'm running a small startup here. So from my startup actually we uh we develop u robotic actually system. So um yeah we are we are trying to present that in that pair. Okay. So that's why right now I'm in the office uh office means my small lab and we are working on that particular project. So uh then I I got some time then I thought why not I can contact the live because today I'm not going to publish the video okay uh for this particular playlist. So that's why I thought let's try to clarify all of your doubt and let me also tell you the plan the entire plan I'm having for this particular course. Okay. Each and everything I'm going to prepare you okay I'm having some question about the course. Yeah you can also ask your questions definitely but first of all let me uh let me actually tell you about my plan. So once my plan has been discussed then you can ask all of your question guys. Okay. So what I'm going to do guys quickly I'm going to share my screen and I'm going to show you um my plan.

[00:06:47]Uh guys my screen is visible to all of you.

[00:06:53]Okay let me check. I'm I'm having a single screen with me guys that's why I have to check it.

[00:07:26]Yeah, visible right? Okay, perfect.

[00:07:48]Walaykum salam sabir thanks for joining. So let's start with uh our hint guys. So here I have already written down all of the plan actually I written in my Google docs. Uh so as you can see we have started a complete uh playlist on my channel. Okay, let me show you the complete playlist. So this is the playlist complete aentti course.

[00:08:11]Uh so basically here we'll be learning uh the complete uh agenti and after this particular course we'll be able to implement we'll be able to build any kinds of AI agents application. So uh I have already published actually four lecture as you can see I started from the introduction. I given you the complete evolution from LLM to ANTPI.

[00:08:34]Then I given you the detailed discussion of this agent. Okay. What is AMTPI? What are the component it is having? What are the characteristic it is having? Each and everything I've already clarified with a good example. Then I also told you about this asynchronous programming.

[00:08:49]why it is required for the AI agents uh and why we have to learn that then I also given you the idea about the pyic for the agents okay for the pyic data validation so so far four videos I have uploaded and uh other video also would be published here okay very soon so today I'm not able to uh record the video for you because I told you I came for a competition here u we are working on a robotics project okay that's why Today I uh I'm not able to record the content for you. Okay. So that's why I thought let's uh give you the complete plan. What are the things I'm going to cover uh uh through this course? What are the things we we'll be covering?

[00:09:33]What are the things we'll be learning and what are the requirement we need right to start with this course each and everything I'm going to clarify. So if you haven't u checked this playlist guys so please try to check that. I have already given the link in my video description. From there you can check it out. Okay. And please try to share this with your friends and family. And if you haven't subscribed to my channel, please try to subscribe as well. Okay. Because I need your support. If you support me, definitely I will get motivation to bring this kinds of content okay more in my channel in future. So please try to hit the like guys. Uh I want all of your support. Uh and uh I'm already getting really good feedback, okay, from this particular course. people are loving that but uh some query also I'm getting so definitely I'm going to clarify those query from this particular session so here is my plan guys as you can see uh here I have divided this course into multiple phase so in phase one uh I have already given you the introduction part right of the AI agents or agentic whatever you can say so if you um if you see check the playlist guys as you can see I have already given you the introduction Okay. So number one and number two these two videos covers all of the introduction part of AI agent authentic each and everything. Then in phase three guys uh sorry phase two uh I have given you uh the idea about asynchronous programming like why asynchronous programming is required okay whenever we create the multi- aent system or we use different different orchestrator framework okay so um why we have to learn this asynchronous programming okay um I already told you about that so if you check my playlist so as you can see uh the third number video is all about asynchronous programming for the AI agents so Please try to go through that. So you will try to understand like why what is asynchronous programming, what is synchronous programming and why it is required for the AI agents each and everything have already clarified. Then in phase three guys I have sorry not phase three in phase two there is another concept I have covered which is pentic. Okay. So pentic it is required for the AI agents uh because let's say here we'll be working with the large language model right here we'll be working with the large language model and if you're working with the large language model and definitely you will be getting the unstructured data okay and whenever we provide any kinds of prompt uh that prompt should be also in a stack format right so we call it as a data validation part inside so each and Everything I have already discussed inside this particular session. Um here if you complete this particular pidentic session I think you won't be having any kinds of doubt whether you are working with machine learning project development or generate API project development or aki project development because this pi identity could be common for all the development. Okay. Because nowadays we are moving to the pentic instead of manual data data validation part. So yeah I have already covered this particular things. Okay. Now in phase three guys what I'm planning for in phase three I'm planning for the very uh basic actually orchestration framework for the AI agents which is langen so I think many of you already know that whenever we didn't have this kinds of orchestration framework like uh langraph crew ai autogen n okay so people used to use this langen to develop the agents because langen supports the agentic agentic workflows.

[00:13:06]Okay, we can still use langin to implement like agent agentic application. Okay, but there are some limitation definitely if you are using langin you have to create the agents from scratch. Maybe you won't be able to create the complex workflow. Okay, some limitation are definitely there. But what I'm planning for u let's say um I'm going to give you the idea about langen fundamentals like how we can use the langen for agents development so that going forward uh whenever you'll be learning these kinds of orchestration framework advanced level orchestration framework like langraph crew ai okay then autogen so it would be easy for you to understand okay because I told you this particular playlist would be covered in detail I'm not going to skip any kinds of part right so that's why this is also included inside my plan. I'm going to give you the idea about the langen.

[00:13:57]Okay. So see I'm not going to give you the entire idea about the langen because I'm expecting you are already familiar with uh the langen basics like how to use langens for generate product development. I think you have already worked with that right but here I'm going to give you the idea about the agentic workflow. Okay how we can use the langen to implement the agents for that. Okay. So if you go to the langen documentation and if you search for AI agents you will see that some workflow they're also having inside lang. We'll try to definitely uh cover that as well okay inside our course.

[00:14:33]Okay. Now the next phase is uh phase four. So now we'll be starting with the actual uh like agents implementation orchestrator framework. Uh the first orchestrator framework we'll be starting with which is langraph. So here we'll try to master the entire langraph concept whatever let's say component we are having inside langraph each and everything we'll try to master that so that after completing this langraph orchestrator framework you'll be able to implement any kinds of uh multi- aent system okay with help of langraph so definitely I'm going to cover some of the project as well some amazing end to end project we'll be covering so through the project we'll try to understand the entire concept of the langraph Okay, then phase five I'm going to start with the kurui. So this is the most demandable and uh personally my favorite also uh one of the orchestrator framework. So here we'll be learning how we can create the multi- aent system. Uh then we'll be learning about rolebased polarity vi aent system. So okay so here each and everything we'll be learning and purui also having some amazing functionality. We'll try to explore all of the functionality and we'll be implementing the AIS with that particular puri. Okay. Then once kura is complete in phase six I'm going to start with Microsoft autogen because this is also very demandable framework in the market.

[00:15:56]Uh and autogen also having some other protocol definitely will try to follow that and we'll be learning the entire Microsoft autogen okay all the component will try to master and we'll be implementing the uh multi- aent protocol here multi- aent system here. Okay. Then once uh all of this uh orchestrator framework is done then we'll start with some uh automation and no code uh no code based actually II development framework. I think you know um the most popular one is the NA people are using that and in NA is like very powerful. So here you can integrate all of the tools.

[00:16:34]Okay. All of the let's say application you can connect and you can build a smart AI automation workflow. Okay. So here we'll try to follow this uh N810 inside this particular course. Apart from NA10 there are some other framework is also available. If you want you can also explore that but I have seen this is the most used in the industry. Okay.

[00:16:52]Most used by by the developer. Okay. And if you let's say don't know about the coding you don't know like how to code how to uh create the agents with help of coding or with the help of these are the let's say orchestrator framework you can use anything to implement that workflow.

[00:17:08]Okay. It is like very easy. So there you have to pay with the diagram. Okay. So that some kinds of diagram would be there. You have to take those diagram.

[00:17:16]You have to connect and you have to set some configuration. Your agent would be ready. I'm going to discuss each and everything about this N10 in the phase seven.

[00:17:26]Okay. Project would be definitely available. Okay. All of the phase will have the project interesting end to end project. Okay. Other instead of project how we'll understand, right? So project would be definitely there. Yeah. Then phase eight guys I'm going to start with the model context protocol MCP we'll try to learn like how we can integrate the MCP okay with the AI agents uh MCP is all about like tool integration let's say the tool we can use right now um independently or individually with the help of this MCP we can create a server and we can easily connect that particular tools to the AI agents okay we'll also try to see the MCP definitely because right now in the market if you see the AI agents people will expect like do you know about MCP or not because MCP makes our tasks very easy.

[00:18:13]Okay, instead of uh like integrating all of the tool manually we can use the MCP protocol and it would be easy for us to implement our AI agent protocol. Okay.

[00:18:24]Then page n guys I'm going to discuss about the in-depth concept about memory planning autonomous agentic system. So memory should be also available inside all of the project I'm going to teach you for all of the phase right but I want a separate phase to cover the memory part let's say you want to learn about short-term memory you want to learn about long-term memory so each and everything would be available in detail okay in detail discussion we'll be doing so that uh if you want to connect any kinds of memory if you want to integrate any kinds of memory with your AI agents you'll be able to do that okay so if you have seen my first lecture guys or Second lecture that means this lecture so there I already discussed about the agent AI component right aenti component characteristic there I told you okay there are some component are available like memory tools okay these are the thing orchestrator framework so each and everything will be mastering inside the course no need to worry okay yeah then phase 10 guys I'm going to talk about the AI safety and evaluation part because nowadays this is very crucial without that uh I won't suggest you to implement any kinds of SNPI application.

[00:19:32]Uh so definitely you have to think about the AI safety because with the help of AI you can do anything today's world. Uh so you have to make sure your uh application is safe. Okay. So people will not get get any kinds of harm from your application. So that way you have to take care about AI safety and evaluation part. So for this we'll be covering one amazing concept called guard rails. Okay. Guardil safety. Have you heard of the guardrail safety guys?

[00:19:56]I think nowadays people are talking about the guardrails a lot right if you open LinkedIn if you open any kinds of other platform so people are talking about the guards uh like safety okay like prompt injection security tool restriction AI safety pattern so these are the topics they're discussing about so definitely in 10 we'll be learning about the AI safety and evaluation and guards uh guard evaluation we'll be also learning okay yeah then phase 11 guys what I'm going to do I'm going to show you the deployment and production engineering let's say you have implemented a agent and right now you have to deploy that particular agents and you have to productionize that particular agents okay so what are the things you have to do the uh complete deployment part I'm going to show you we'll try to do the CI/CD deployment we'll try to uh integrate the MLOps concept with that so that our deployment would be more efficient okay so this part I'm also going to That means the goal is to cover the scalable uh deployment for our ampk system.

[00:21:03]Can you share this docs and link with the channel to cover the additional details you have explained before? Can you share this docs and provide it with links uh in the channel? Yeah, I'm going to share this docs guys. Uh it would be available uh in my GitHub. So after this session guys, I'm going to add a GitHub link in the video description. From there you will get that. Okay. Yeah.

[00:21:29]Can I start learning A&PI with basics of DL knowledge? You can start but I feel like if you are having a basic idea about generative BI so it would be easy for you to start with.

[00:21:41]Okay. And already in my channel GenerativeBI course is available. Okay.

[00:21:47]If you check my playlist guys, let me show you.

[00:21:50]If you check my playlist, so generative AI full course is already available.

[00:21:55]This is around uh uh 10 10. Okay, I think 24 hours of recording uh you can go ahead with this particular course. It is having two part one and part two. So if you complete that, I think uh you won't be having any kinds of questions from GNI. Okay. So yeah I will suggest first of all complete the geni concept then you can start with ampki because this is the uh advanced part of generate okay so let's say in our traditional geni we used to create let's say uh generation based like simple chatbot or rag system okay how agents came and to implement the agents what you need okay so each and everything you have to know from this particular j then it will be easy for Get it? Yeah.

[00:22:47]All right. Then uh phase 12. This is the final phase. So in the phase 12 guys, uh I'm going to cover some projects.

[00:22:54]Definitely some amazing interesting end to- end projects. Okay, portfolio ready projects uh so that uh you can use those project inside your resume. But I won't suggest you to add directly those project in your resume. Instead of that what you can do uh you can take the concept uh like how we are developing that maybe you can work on any other problem statement okay otherwise what will happen if uh you add my project in your resume let's say uh let's say my project is following 10,000 people right so if 10,000 people are adding the same projects in their resume so what will happen so there is a possibility recruiter will be getting this okay let's say this project you have copied from some YouTube video so that is what I don't want what I want you just try to learn from my video you just try to learn from my project the entire concept the entire ecosystem and you try to work on a separate problem statement so that's how you will have a better exercise and you will have a better understanding on a topic okay yeah I complete from precam through your video huh so in pre-ord campam also I'm having my generative course so Yeah, you can also cover from there. Okay. So, this is this was my plan guys. So, that means this course will have 12 phase.

[00:24:14]So, each of the phase I'm going to cover in detail. No need to worry. And I think apart from this phase, I think there is nothing inside AI agents. If you know anything else is there, you can definitely let me know in the comment.

[00:24:25]Definitely I'll also try to cover in my channel. Okay. But as per my understanding, I think the uh I think these are the concept is only required if you want to master the entire agent uh system. Okay. Now the thing is that what are the requirements I should follow to start this course to complete this course. The first requirement I'm expecting you are familiar with the Python programming.

[00:24:49]Okay. At least you are I mean familiar with Python programming. And whenever I'm telling about Python programming, it should not be basics of Python. It should be advanced Python programming.

[00:25:00]I'm expecting you are familiar with object- oriented programming. Okay?

[00:25:04]Because all of the application will be developing, we'll try to follow the class concept, OP concept. Okay? I will be following the inheritance concept.

[00:25:11]You'll be following the I mean the modular coding. These are the thing. So I'm expecting you try to master the Python first of all. And Python course is also available on my channel. So if you see Python is already available if I go to the playlist um if you go to the playlist so there is a playlist called Python for AI. So this playlist you can cooperate guys. Okay.

[00:25:36]So there I have already taught you the Python entirely for the AI AI development. So you can see here you will be getting more than um more than 100 videos around 110 videos are available. I think this is more than enough to master the advanced Python.

[00:25:52]Okay. So you just go through the Python lecture and I'm expecting you are familiar with basics of generative AI.

[00:25:59]So for generative AI wise also I told you I'm having a playlist. So this is the playlist. Okay. This is for generative. So all the playlist are available on my channel. You just need to go ahead. Okay. So this is generative by this is Python. So this uh two concept should be ready guys. If you uh know these two concept then it would be easy for you to complete the entire H&MI course. Okay. Otherwise you might get some difficulty.

[00:26:30]Okay. Now the software requirement wise I'm expecting you are already having these are the tools like Anagonda Vode G and GitHub do and Postman. Okay. So these are the software you have to install. So this software installation I'm not going to show you guys because this is very basic for learning generative uh sorry you are learning aentki. So at least I'm expecting these tools are available okay in your system yes or no. Okay. Yeah. Then some accounts is also required. Uh because whenever we'll be developing the agents, we'll be using some provider like OpenAI, GitHub, Hugging Face, Pine Cone, then Google AS Studio, Entropy. Okay. So these are the things we'll be using. Uh but I'll try to use the use actually most of the uh free provider so that you will get some free credit and you can run the agents. But whenever you want to create actual production level agents so that time I will suggest you go with uh paid plan. Okay. In paid plan you'll be getting lots of benefit. Okay. Because in free plan we have some limitation.

[00:27:35]After this limitation you won't be able to use those uh uh I mean model. Okay.

[00:27:41]>> Yeah. But I'm expecting initially you should have these are the account. If you don't have the account it's completely fine. I'll try to also give you the alternative but try to create the account. Okay. At least you should have this GitHub account, hugging face account, pine cone account, uh Google AI studio account. Okay, these are the account you will be having. All right.

[00:28:00]Yeah, even open also you can create I think freely there you will be also getting some free credit. I think $5 credit. I think this is enough for learning. Okay. Then some recommendation hardware because most of the agents will be developing inside our local system. Okay. Local laptop or desktop whatever you are using. So minimum system requirement I'm expecting we're having 8 GB RAM. Okay, minimum minimum this is the minimum configuration 8 GB RAM and recommended is 16 GB definitely because here we'll be working with the agents working with lots of data. So if you are having 16 GB RAM it would be amazing but if you don't have I think minimum configuration 8 GB is completely fine. Okay. And CPU wise, you should have at least Core i5 CPU or you can also use like Ryzen. Okay. Ryzen 5 or 7. Okay. Whatever you are using, this is completely fine. But if you're using Core i3, I think um I think uh it would be little bit hard for you to run those agents inside your system. At least core i5 requirement is there.

[00:29:03]Okay. And storage I think uh 20 GB free storage is completely fine. And if you're using like hard drive then I you can use u u one 1 GB 2 GB u sorry 1 TB 2 terab okay it doesn't matter but if you're using SSD at least 20 GB free space you have to keep okay for this application okay so this is the entire plan guys for this particular agenti course uh let me show you the course so this is the course. So here we'll try to cover each and everything. All of the 12 PH we'll be covering guys with detailed discussion with detail project discussion each and everything. So make sure you complete the entire playlist and uh you try to do all of the exercise whatever I'm going to give you. I think after this particular playlist you won't be having any kinds of problem. Okay, this is my purpose.

[00:30:01]Yeah. Now let me take some of the query guys. So I'm getting some of the query.

[00:30:06]Um good evening uh visible. Okay fine. Um your video is uh really well. I'm learning lot from this video. Uh thank you Sabri Ahmed for your appreciation.

[00:30:25]Uh we want you include the projects.

[00:30:28]Definitely projects will be available.

[00:30:30]Then uh can you share the docs? Yeah, I'm going to share this particular docs.

[00:30:35]Can I start learning agent with the basics MLDDL knowledge? I told you general TBI concept is required. Okay.

[00:30:41]And I already given you my playlist. You can go through that. Uh I'm I have completed your course for free code cam.

[00:30:48]Thank you so much for that. Uh is it ampki? Yes, this is aki course. Can we uh use provider like open router graph?

[00:30:57]Yes, definitely you can use open router graph. This is the alternative framework. We can also get some free credit there. Okay, we can use anything.

[00:31:04]See provider it doesn't matter whatever provider you are using at the end you have to collect a API key and you have to just write the model configuration okay that's it but when I need API we use free API from gro and local API yes we can use gro API local API it is completely fine okay you can still able to do that even you can use as well okay with that also you can access any kinds of model I'm a university student in my second semester I want to learn computer vision How should I start and it is good decision to learn at this time. Uh definitely Ahmed you can start with computer vision because still computer vision is having like very demand in the market and fortunately my u my course is there so I started a computer vision course on my channel as you can see computer vision for developers. Perfect. So this is the playlist. Although this is not entirely completed, still I'm taking the session.

[00:32:01]I think 22 videos are there so far. So if you cover this 22 videos, I think uh all of the uh foundation would be clear and I will continue this playlist as well. Okay, because I told you this playlist should be also covered and I'm going to teach you each and everything about the computer vision. So so far I have completed till object detection.

[00:32:22]Okay. So right now I still need to cover object segmentation, key point detection, tracking, GANs. Okay. So many things I have to cover OCR. So I'll try to cover each and everything. So you can start from this particular playlist.

[00:32:36]Is learning computer vision is a good choice for freelancing. Yes, it is also good choice because if you see the freelancing work, there are so many projects you'll be getting from computer vision. Okay. Yeah.

[00:32:50]Uh hello brother. Muhammad is telling.

[00:32:52]Yeah. Hello Muhammad. Thanks you. Thank you for joining.

[00:33:00]>> A quick questions. Did you learn everything by your itself? Yes, I learned everything by myself.

[00:33:06]Yeah.

[00:33:09]Um so let me know guys if you are having any other questions I think my plan is clear to all of you. Uh the frequent question you are having in your mind I have clarified each and everything like what are the topics should be covered inside this course. I have showed you my entire plan my all of the phase okay I'll be covering inside this course as well as I already told you the requirements software requirements as well as some recommendation hardware okay yeah I'm currently in Australia studying data science that is amazing Mohammad best of luck for how we can become expert like you.

[00:34:17]Uh see actually to become expert uh you have to work okay you have to develop you have to work you have to explore uh if you do it continuously if you do it regularly so definitely uh one day will also become expert uh because everything comes from experience everything comes from practice okay I do lots of practice I have lots of experience as well because I have been working in this particular field it's been more than five years okay I have worked with so many company so many multinational companies, so many product based company, I have developed so many products for them, right? So that's how I achieved experience. Okay. So that's why uh this is uh kinds of hobby to me.

[00:35:00]So that uh whenever any new things comes up, I like to explore that. I like to learn that and I become expert on that.

[00:35:09]And one of my uh secret I'm going to share with you which is the teaching.

[00:35:13]Okay. So teaching is the only way uh that makes makes me actually expert because whenever I am sharing the knowledge with you so I can understand why I have the lackings exactly. So this particular lackings I can easily fill up that time. Okay. So knowledge sharing is always important. If you are learning anything just try to share your knowledge. Okay. So you'll see that automatically you will become expert on that particular topic. Get it? Yeah.

[00:35:42]What's the job market like? Uh maybe especially data science. Uh yeah, here also you are having lots of job market.

[00:35:51]If you explore over different different uh job platform, you'll see that people are hiring. Okay. People are hiring uh data scientist, people are hiring AI engineer, generative engineer, agents engineer. Okay. So yeah, definitely some opportunities are available but you have to be expert. Okay. for that particular job.

[00:36:10]Please also make the complete MLDDL along with theory and implementation in English. Definitely uh I'm also going to do that because in my channel I don't have complete ML and DL playlist. So after completing this course I think I'm going to also work on that part too right but right now this is this is the most uh requested playlist guys from your side because uh if you explore my channel I did uh very less content on the AI agents okay that's why I started uh this particular course completely end I want to complete this course first of all then I'll be working with other other things I'm happy with okay Yeah, salary wise you can see the platform. I think you can see the glass door. Glass door is having uh some salary range with respect to the location, with respect to the job you are looking for, with respect to the experience you are applying for. Uh so I think you can refer the glass door for that Mohammad.

[00:37:10]Okay.

[00:37:12]Yeah.

[00:37:21]I'm currently working as a machine learning engineer at a software company here and it gets boring sometimes.

[00:37:32]Okay. Um see actually um uh you should not take it as a boring work because if you're working in machine learning I think uh I think you have started with the correct technology uh slowly slowly just try to adapt uh the advanced one like GNI learning okay as NPKI so you will see that your work would be more interesting that time okay instead of working with the traditional ML development if you are able to learn these kinds of concepts Right. I think uh it would be interesting for you.

[00:38:06]Okay. And always take your work as an interest. Okay. Otherwise uh uh otherwise actually you won't be able to uh complete your project efficiently.

[00:38:16]Okay. So let's say I take my work always as a fun because I love this field right. I'm not here for the salary. I'm not here for the uh earning. Yeah. I know definitely there are lots of earning but the thing is that from the very beginning uh I have fallen in love with the AI. Okay that's why I'm I'm working here. Get it?

[00:38:38]>> Did you learn computer vision while you were still in university? Uh yes I learned computer vision uh like long back. I when I was in college that that time actually I learned computer vision and everything that time.

[00:38:52]How to register with the batch? So see this is not a batch. This is a free uh free actually YouTube playlist. If you go to my YouTube channel guide uh you will see that this particular playlist is there. Complete agent course. Okay.

[00:39:04]So this is not a blanch. This is a YouTube series. Okay. This is a YouTube playlist.

[00:39:11]I want to switch to AI engineer. So for this first of all you have to learn those uh skills you need for AI engineering role. Then you can definitely switch. Okay. Because you already having the machine learning uh background. Respect to you sir. You are truly inspiration. I really hope to connect with you when I'm visiting uh uh thank you Muhammad. Thank you for your application. Uh appreciation definitely I also like to meet you. Okay. Uh thank you so much.

[00:39:48]I'm working as a QA in college. Worked on learning machine learning. um did some projects now started learning GNI from your video would you advise me uh start aenti definitely if you have already started learning generative so I will suggest you after completing generative start with agenti okay because nowadays you will see that 80% job roles they are considering the agenti skills okay so if you are applying for general position you should have knowledge on agenti this is required so definitely you have to learn. Okay, so from any other question guys.

[00:40:58]Hi, I was a NLP software engineer four years ago. Had a good experience on bar distill GP models also on machine learning. But around 3 years I shifted to educational sector. So if I want to trans transit what are requirement?

[00:41:14]uh where do you want to transit actually to AI engineering or agent engineering where you want to transit? If you want to transition to AI engineering, so traditional NLP knowledge won't be working. Apart from that, you have to work uh you have to work on generative AI. You have to understand about the LLM. You have to understand about the rag. Okay. Then you can start with the DPI. I already showed you my course.

[00:41:40]This is already available over my channel. So this is uh the complete geni course. You can go through that. Okay.

[00:41:47]Yeah.

[00:41:49]after learning HMTKI can able to switch easily from QA. Uh definitely you can switch. Okay. If you have right skill sets, if you are able to adopt these skills, okay, if you are able to develop agentic system, aentic applications, you definitely will be able to do that.

[00:42:09]Okay. Yeah.

[00:42:36]Okay. So I think I have clarified all of your question. Um wait. So now I would like to end this uh live guys. Uh because uh uh yeah because I have already clarified all of your questions.

[00:42:49]I have already showed you my plan for this particular course, for this particular uh let's say uh playlist. Now you just need to follow this playlist.

[00:42:58]Okay? Uh one by one whatever lecture I'm going to upload, you just need to uh you just need to complete that not uh not only complete you have to also um you have to also practice you have to also implement from your end. So once you able to do that I think there should not be any kinds of problem but if you still feel like you have the problem you need my support so I have my WhatsApp community group in my video description from there you can join my WhatsApp community there you'll be getting two groups one is the support group one is the uh task session group so there you can um uh you can connect with me you can ask your d and you can also connect with uh other learners as well okay if you need any kinds of support so please try will check that link from my description and try to join in the WhatsApp community and there I will usually publish all of my let's say class plan all of my um uh I mean upcoming let's say live session or recording session whatever I'm bringing up I'll try to update in my WhatsApp community okay so make sure you try to join that community too okay yeah I'm following you since 3 years uh in IUM and still on YT as well thank you so uh be unique. Okay. So I think guys we are done with this session. Now I'd like to conclude. Always remember consistency is the key. If you're not consistent definitely you'll be able to achieve any kinds of success with that guys. Uh thank you so much and I will see you in the next video guys. Okay. Bye everyone.

[00:44:32]Thank you. And all of the resources would be shared in the GitHub. Okay. I'm going to share these documents and everything in my GitHub. from there you can get it. Okay, bye everybody. Thank you.