audio audioduration (s) 16.6 30 | text stringlengths 285 601 | source stringclasses 1
value |
|---|---|---|
Hello all my name is Krush Nayak and welcome to my YouTube channel. So guys today in this particular video we are going to go ahead and see the entire roadmap to learn AI in 2025. And here I am going to provide you all the free resources, videos and materials. So please make sure that you watch this video till the end.... | 0 | |
Because right now generative AI, agentic AI that is the talk of the town. Everybody should at least have the idea about generative AI applications, agentic AI applications. How you should go ahead and build whether you are coming from a developer background, whether you are program managers, whether you are in the lead... | 0 | |
Many companies, more than 80 % of companies, more than 70 % of companies are working on different different kind of generative AI applications. They are building RAG applications. They are using different kind of LLM models. But still the question rises. Krish, I am a fresher. Please tell me a specific path. Krish, I a... | 0 | |
There was also question like, Krish, I am 10 plus years of experience. I am not that interested in coding, but definitely I want to get into AI. Right. So you tell me a specific roadmap, how we should go ahead and learn. So in this particular video, I am going to cover all these questions in a much more efficient manne... | 0 | |
Within eight months of time frame, you should be able to complete this. If you are starting from scratch. Right. Other than this, just follow this particular roadmap. I have provided free videos, resources. Just go ahead and watch it. You will definitely be able to do amazing things over here. So quickly, I will go ahe... | 0 | |
And here I have, you know, drawn three different routes. One is the traditional route. The second one is the modern route. And the third one is something called as an advanced route. Now, why do we actually require this routes? I will discuss about this in a much more detailed manner. | 0 | |
So let's say, as I said, this roadmap actually incorporates for everyone, whether you are a fresher, whether you are an experienced professional, whether you are a leader, you are in a leadership position, and whether you are a person who is also coming from a complete non -technical background. Okay. | 0 | |
A non -technical background basically means, let's say that you may be working in HR, you may be working in finance, and you also specifically want to learn how to get into AI. Right. So I will also be talking about them. So in this actual route, here you can see this is my first path, traditional route. Second part is... | 0 | |
Like if someone was coming to me around two years back, and they were asking, Krish, what should be the roadmap to learn data science? I would basically say, okay, go ahead and first learn data science first. Okay. So here I will go ahead and write. Here you have to learn data science first. Now what you really need to... | 0 | |
You need to master DS, that is data science, ML, CV, NLP. Okay. So here you need to master data science, machine learning, computer vision, NLP. Right. And in all these specific topics, you should be able to understand that stats and linear algebra is included a part of it. So in short, you're mastering all these techn... | 0 | |
And whenever I'm talking about mastering, I'm talking with respect to development of an end -to -end project. Okay. So first of all, you need to learn data science first. If you were asking me two years back and today also, if any fresher who is in the college, who wants to really start from scratch, must definitely fo... | 0 | |
So here we are going to go ahead and add Gen AI. Now, when I say add Gen AI, that basically means you go ahead and explore different, different frameworks. Think about like how different, different LLM models work. How does LLM training happen? You know, how to go ahead and develop a generative AI applications, how to ... | 0 | |
Then after you've complete generative AI, then we go to the next step wherein you can start learning agentic AI. Right. Agentic AI and MCP. Right. Now here, when we are talking about agentic AI and MCP, I'm actually talking about developing agentic AI. AI applications, agents, you can go ahead and develop RAG applicati... | 0 | |
If someone was asking me two years back and if you are a fresher and experienced professionals also, let's say that an experienced professional wants to start from like, let's say this person is zero to three years of experience or zero to five years of experience. I would basically suggest this traditional route two y... | 0 | |
Still, I would suggest follow this traditional route. This is the best traditional route wherein you're mastering everything like data science, machine learning, CV and LP. This will definitely be your base. And on top of that, you are adding generative AI and agentic AI skills. Okay. Now, when I'm also talking about g... | 0 | |
Now, coming to the second part, which is the modern route. Right. Nowadays, if many of the people ask me, Krish, which path should I probably go ahead and take in order to learn AI? Nowadays, I usually prefer the modern route. Now, what is modern route? Here, I will say to them, hey, go ahead and learn generative AI fi... | 0 | |
First, in this generative AI, you specifically understand about LLMs because at the end of the day, it's all about content generation. Right. Specifically, if you're working with NLP and all. Right. And when I say generative AI first, here, obviously, some of the knowledge of NLP is definitely required. Okay. NLP, mach... | 0 | |
Master generative AI. Okay. So, this is the first step. So, once you're starting generative AI, master it. Try to understand how to build generative AI application, RAG applications. How to use different frameworks like LangChain, LangGraph, Creo AI, all those things. And also do the deployment. Okay. Okay. | 0 | |
So, on top of this, you will go ahead and add agentic AI. Okay. And then, finally, once you have covered this. Right. And until you master this. Right. You will definitely be able to get any kind of jobs in the market. Because if you know the entire life cycle, if you have developed some amazing end -to -end projects. ... | 0 | |
Now, on top of that, you can start learning your DS fundamentals. Okay. Start learning your DS fundamentals. So, this is the roadmap. I usually tell to the people who right now ask me. And who are specifically these two type of people. Right. Freshers and experienced. And even non -technical people. I have seen many, m... | 0 | |
I also want to start coding. Right. So, all these things will basically be following this modern route. So, it is up to you. Whether you are in experience. Whether you are 0 to 5 years of experience. I would still say, hey, go ahead and follow this particular pattern. Right. Because understand. To learn DS, ML, CV, NLP... | 0 | |
2 hours daily. So, you will definitely be able to cover this. Right. Here, also for Agent TKI, you may again take 2 months. Now, RAG and all will come either in Generative AI or Agent TKI. Okay. Now, I hope you are able to understand in the modern route. Because we cannot, you know, right now companies are looking for ... | 0 | |
And then you are good to go and start with mastering Generative AI. So, once you are able to develop. Because here, you are working with LLM models. You are focusing on different, different frameworks. Wherein, you are focusing on understanding how to build those kind of applications. Yes. The basic knowledge of NLP, m... | 0 | |
So, they are focusing more of these specific questions. Okay. Now, coming to the third route. Okay. Which is the advanced route. Who are really, really efficient people. You know, they can start all three parallel. All three parallel. All three parallel. Now, these are those people who are already in the technical doma... | 0 | |
Whenever you go ahead, get time. Go ahead and learn the basics of DS, machine learning, CV, NLP. And continue this specific thing. Right. And this is nothing but this is basically a comprehensive AI expert. So, here you actually become an AI expert. Right. So, this is what it is basically happening. See, for leadership... | 0 | |
Right. Coding industry. Then, definitely follow this pattern. That is traditional route. Then, go to modern route. Then, go to advanced route. Now, you make the decision. You know, what is basically required. See, wherever you learn something. Let's say if you are going to this modern route. Some amount of knowledge wi... | 0 | |
No. Here, focus more on building applications. Now, I hope you are able to understand from this particular roadmap how you should basically go ahead and do this. If I will say, if you are a leader, if you are a very experienced person, just go ahead and follow this modern route. Or, either you can also follow this adva... | 0 | |
But, understand, as you keep on learning things, you will understand the base of each and everything. I have spent around 6 to 7 years making videos. And, I have covered almost everything in my YouTube channel. Just imagine 2K plus videos. Right? 2K plus videos. How many people have actually got benefited out of it? Ok... | 0 | |
Now, for every stage, I have created a specific roadmap along with free videos and materials, which I will show you as we go ahead. Okay? Now, let me go ahead and open my roadmap. So, here you can clearly see that this is how my roadmap looks like. Okay? So, very clear, detailed roadmap over here. You will be able to s... | 0 | |
And, here you can see minimum Python 3 .11. You can also use 3 .9. 3 .9. So, here you have three sections. One is the data science and classical AI. Second is generative AI. Third is agentic AI. If you see path -wise, data science and LP computer vision. Four months I am taking. If you spend two to three hours. Here yo... | 0 | |
Agentic AI and autonomous system. Two months AI architect. Agent developer and many things. One is the same route that I have explained to you right now. Okay? Now, with respect to this, this is my section one. I have created a perfect roadmap to learn everything with the free video materials and everything in itself. ... | 0 | |
So, here you can see work of a data scientist, data analyst. So, first of all, you need to start with Python programming language. All the Python programming language is basically over here. Then you go ahead with statistics. If you start taking the traditional route. In statistics, I have created very detailed videos.... | 0 | |
Then you have databases. You can go ahead and learn about databases like MongoDB, MySQL, and all. Now, see, I'm breaking that everything, right? On the high thousand feet overview I have told about, you have to learn this. But in order to master all those things, you require all these important techniques, right? Then ... | 0 | |
If you really want to master, you definitely need to know about machine learning operations. That is design, model, deployment, and operation. So here you have all the free links along with the YouTube video. So here if you just go ahead and click it, you should be able to see videos. Yes, some amount of ads will be vi... | 0 | |
Evidently AI, Grafana, Airflow, BentoML, AWS SageMaker, DVC, Dockers. Everything is basically there. How to develop an end -to -end projects with MLOps and deployment with open source tools. Here also we have created both in Hindi and both in English, right? If you want to follow that also you can do. Machine learning,... | 0 | |
Always remember one very important thing is that you need to start using ChatGPT, CloudA, or Google Gemini, Grok efficiently. The reason is that you don't need to create problem statement for you. You can use these platforms to develop modules quickly, get the code, become much more efficient, increase the AI productiv... | 0 | |
Always take help of AI. Don't do the development completely from scratch. That would be my suggestion, okay? Then here I have actually mentioned each and everything with respect to this, okay? Now this is the first path to master data science in 2025. Then we go ahead with generative AI, okay? Now in generative AI, I h... | 0 | |
So here you'll be learning about large language model, prompt, diffusion model, fine tuning techniques, multi -model AI system production deployment. If you go ahead and click this, here you should be able to see the entire roadmap, okay? So here to get into generative AI, how you should start, what should be the basic... | 0 | |
And automatically you should be able to quickly cover all the specific topics. Then basic learning, deep learning concepts from day one to day five. Here also I have created amazing videos on this. These are all on my live sessions which you can quickly learn and to get the basic knowledge, right? See, if you want to l... | 0 | |
If you tell me to teach neural networks, I can take two days session also and still that topic will not get completed. And sometimes I may only like if you, if I just tell you that I can also teach you in a way in just two hours so that you understand each and everything that is required in order to build a specific pr... | 0 | |
Now, here is the next thing is that you have advanced NLP concepts, day six to last video, okay? So here you will be able to see that here also detailed live sessions is there already. You can just go ahead and check it out, okay? Then starting the journey towards generative AI, GPT -4, Mr. Al, Lama, Hugging Face, all ... | 0 | |
So I have included what are the four main important things that we specifically do in generative AI. We develop generative AI applications. We develop, we work with generative AI projects in AWS, Azure. For Google Gemini also I have actually created a separate playlist. Then here also you have all the fine tuning. So w... | 0 | |
So in generative AI you should also know about vector store and vector databases and deployment of projects. You can do it in AWS, Azure, use Langsmith, Langserv and Hugging Spaces, okay? So these all things have been completed and I hope you should be able to explore things with the free content to learn the modern ro... | 0 | |
So for this there is a separate roadmap. So in this roadmap you'll be able to see again how to start with the agentic AI. First of all again you need to know Python programming language, some basic knowledge of machine learning, natural language processing, deep learning for NLP. Then you go over here with end -to -end... | 0 | |
And then finally you also go ahead and check out this model context protocol. I've also created a detailed playlist on MCP which will actually help you to understand each and everything. Just imagine guys so much of free content. The best part is that I've contributed so much, right? That I'm really happy about it. You... | 0 | |
Then here you can understand best agentic AI for emorts to learn like Langchain, Langgraph, Agno, Crewe AI, Autogen. So for all these things and there is also a live session which we are running in Krishnak Academy. You can go ahead and explore this. If you have any question call our counseling team, right? So these ar... | 0 | |
Each and everything is basically there. Okay, you can just go ahead and explore it. Once you complete this, then here is the additional learning resources. See, I'll tell you what is the differences between the free content with respect to the content that is available in the Udemy and live courses also. Okay, as you a... | 0 | |
So if you think, right, you require more help, more structured learning, then you can just go ahead and follow my Udemy courses. So here I have created another GitHub over here to follow the roadmap of my Udemy courses. So again, based on that track, this is much more divided courses. | 0 | |
Like if you want to go ahead and learn mathematics for data science, Python with DSA, data analyst tracks, data science track, gender DBI and agent TKI tracks, MLOps and deployment track, big data engineering track, Figma course track, anything that you want, you can go ahead and do this. And here I, in a month, I give... | 0 | |
Now, final thing is that these are my additional courses. Let's say you want more handling, more support, then just go ahead and join our live courses and mentorship. Right. So here you can go into this particular website, krishnaic .in slash live classes. These are all my live classes that is currently going on. Okay.... | 0 | |
And the reason of making this particular course is very simple because I want to cover everyone. Right. Whether you are coming from a coding background, non -coding background, anyone, I'm trying to cover each and every people out there with respect to the learning. Right. So you can go ahead and explore even this spec... | 0 | |
Each linked repository contains detailed week -by -week plans. Complete projects are included in each roadmap. Track progress. Use the provided checklist to monitor your learning journey. Learning recommendations. Start with section 1 for strong foundation. Can jump to section 2. And then you can also explore section 3... | 0 | |
So I've provided free content. I've even provided paid content. It's all your support. Based on your support only, I'll be able to do more things. But trust me, from the past 6 to 7 years, we and our entire team has done a really amazing work in making amazing career transition in the field of data science. Wherever we... | 0 | |
Breast power is feeling that I basically give on my work that I do. Right. And that is the most motivation factor for me. So I hope you like this particular video. This was it for my side. I'll see you all in the next video. All the information will be given in the description of this particular video. I'll see you all... | 0 |
README.md exists but content is empty.
- Downloads last month
- 8