Відео

I am a mechanical engineer at Tata Motors with 18 years of experience. My current salary is 15 LPA. Additionally, I have 15 years of deep experience in the stock market. However, I feel frustrated in my current field and want to switch or improve my skills in the AI domain-not for salary reasons, but for self-improvement. Over the past two months, I have been learning Python, SQL, and most machine learning concepts. I feel confident that I can make a switch or gain some experience in this field. Please guide me with good suggestions.

sir, please suggest some course to learn

sir, please elaborate it. Presently I am doing PGDiploma in AI from CDAC. I wanna learn this skill. Guide.

Great video. When will be the Just Enough Python course will be released?

Im from non it background. I lost in the mid of the video listening the terminologies. It would be appreciated if you can give the syllubus in pdf, so that i can go through the syllubus slowly and consume.

Great video

I'm coming a full circle from a critic to someone who's seeking help. (No shame in admitting mistake). Please ignore my previous comments and help me further 😊 Help me understand more about GenAI. It sounds as if the work of a GenAI expert is just to use an existing AI model's API and build a tool needed for the respective company around it. It feels like same as user of chatgtp. Except, a user is using the front end interface of the API and a GenAI expert is directly using the API programmatically. Is that all the difference? If that's the case, I don't see there's anything to learn about GenAI for someone who understand backend development. Is there anything more to that? I mean like, does a GenAI expert train / fine-tune the models using his own dataset? If so.. does this involve skills like curating and annotating datasets or understanding AI models?

In order to be a good Gen AI guy , you must understand DS and ML. You cannot keep relying on Gen AI And tokens for even smaller requirements... You must have your own Algo or model ... Don't fall for this

Passed out from 10th grade But I want to be a data scientist If I will be

But I don't have laptop for doing and practicing python 😢

Sir thank you so much, if possible make a video on data engineering

Thanks You have given me a good solution for my confusion. Please suggest some book

I appreciate your content sir as it's definitely very helpful, can you suggest the prerequisites for learning GenAI for an absolute beginner who doens't want to invest 2 years on data science but interested in AI..

I'll take back all my comments and conclude that his intentions are that if you're passionate about the AI / ML overall, take the long path of 2+ tireless years which is still going to be much more valuable in the long run. But if you believe that path would be a struggle for you, take an easier path of becoming GenAI expert and then go on to learn other skills slowly. I believe the intentions are honest but not understood in the first go itself.

Amazing explantion of the the roadmap! appreciated brother, thanks!

Bro please give me whole video detail in PDF form because some people have not enough time😢

Eye opening❤❤❤.. Very informative❤❤❤

Often its very difficult to get such a quality information on net when too much dust around the youtube present. Thanks.

Such a gold advice on the entire internet. Thanks a lot.

Hello Satish ! Adarsh here.....I am working in Gen AI Model Validation right now in Banking industry. Although Im new to Data science but have good grasp of ML, DL and GenAI concepts, I want to understand, what are the potential jobs I should be targeting later on to grow fast in terms of compensation and exposure especially focussing on GenAI ?? Thanks in advance 😊

Very good explanation of the roadmap ..waiting for your genai playlist

This video is a test to our learning. He says don't trust someone who says learn something in 3 months instead of a tiring 2 years. He ends up saying learn something in 6 months. Connect the dots which is what he wants us to do. If you aren't able to spend a tiring 2+ years into learning in 2025, and instead focus on learning something in 6 months, you are not job ready or you should be extremely lucky.

Shall we take this recommendation as learn to drive the surf board but skip swimming classes, wind direction prediction, waves formation? This is almost like saying skip any course that says it will teach you something in 3 months. Instead of 3 months, he says 6 months. Now will that not keep you interested? GenAI may be useful. But focusing on that predominantly isn't enough in my opinion. That may be like learning to drive the water surf board. Would someone allow you to go to sea with that knowledge alone? I doubt it. They would expect you to know swimming definitely. understanding wind directions, wave formations, what type of board to be used when and so on.

Don't learn Machine Learning instead start selling Vadapav, get rich in 2025 🎉

Thanks Sir for the great advice. I can understand the depth of your advice.

One guy says machine learning has high scope in the future, another guy says to not learn it. One guy says learn this high scope, then another says its a waste of time. At this point id rather sell onions.

Data Science is not an entry level position. Usually you gain some experience from other data roles like data analyst or business analyst or have Masters degree and transition into Data Science. Data Science requires a good practical knowledge of statistics and not just ML algorithms. Now-a-days you will also be doing a bit of data engineering sort of task like bringing a specific type of data for analysis or Model building through a pipeline

Sir aap kab course laige From scratch to getting job

Finally I got someone with Truth and unbiased thinking! God Bless you man!!!!!!

Your suggestion will work, especially for entry level. In my experience, surviving on gen AI alone for mid to senior role is not possible, for example, people making carrer transition mid-career. This is because for senior level roles, they are looking for "full stack data scientist", as you mentioned in the beginning.

Having been a full stack data scientist and having experience of 8 years in data science (I am also Master of data science from top tier university), I agree partially with this lecture. There is indeed saturation at entry level. However the very second reason he offers ["The subject is very complex and requires learning programming language, statistics, Cloud knowledge, deep learning, AI, MLOPs, deployment"], itself is the reason why the initial tough competition and the crowd of curious folks will disappear. So, those who persevere will succeed for sure. I FULLY AGREE WITH HIS STATEMENTS ABOUT FUTILITY OF 1 MONTH /3 MONTH/6 MONTH COURSE. MINIMUM 1 YEAR (180 TO 220 HOURS) FOR A GRADUATE PERSON WITH NICE MATH AND ENGLISH BACKGROUND. I however do not agree with advice of jumping directly to generative AI. GENERATIVE AI IS A MUST HAVE SKILL, BUT TO MAKE FULL USE OF IT (IN MACHINE LEARNING DOMAIN) YOU MUST HAVE FUNDAMENTALS OF MACHINE LEARNING CLEAR)

He is right about the Full Stack Machine Learning role. There seem to be no entry roles in ML and companies globally want someone with 5-8 years of experience. I used to think the ML engineers will work with Data Scientists and Data Analysts with cleaning data and processing the data to develop models and that they only need to focus on learning Machine Learning. But where I work they are asking us to first start with Data Analysis, then learn Data Science, Gen AI and finally move to Machine Learning. So they are training us for 1 year on this and I have completed the Data Analysis so far, it helped me with Python, SQL, R and the Python libraries like Numpy and Matplotlib. It is helping us understand how everything works in Machine learning at the end. On the other hand Gen AI seems to be easy role where a non-tech can easliy grasp the concepts and implement projects since it is interesting. Thank you for the insightful video.

Please do that video on Gen Ai job thing 😊

I am data analyst with 6 months intern + 6 months of full time and i always wanted to be ai ml guy i have baisc knowledge of ml algorithms now wanted to move to ai space so should I target more data scientist roles but whenever I see the role for ML/AI roles they wanted experience of 3+ year so should I try in gen ai space or should I continue to try in Data Science Jobs

Bro , Superb Video !!! Being a software backend developer , learning python to become a Gen AI developer… is Python and RaGs , LC, LamaIndex, what in Hugging Face are enough ??? Could you pl answer.

Idiotic 😂

I completely agree with your point my friend you have really made a point here with ease looking forward for more of these cutting edge technology videos!

Just joined a data science course and ended up here! Good start i guess

Appreciate your thoughts, intrested in getting a in AI. Please post the video what your are saying, waiting for that..

Thanks sir for your forward thinking strategy on how to get into AI field. Please make that video on how to go about becoming an generative ai expert and how one can market as such

Great Video, Waiting for Just Enough Python For AI.

I truly admire your presentation and a Big bang motivation from this vedio in terms of understanding the AI concepts.. will be following your vedios and keep learning and implementing to become an expertise.. Thank you for sharing.

Sir can you please suggest me some resources for becoming GenAI expert? I'm currently in 2nd year of BTech in Computer science specialization in Data Science. I'm focusing more on Competitive Programming and DSA right now. So i want to know about some platforms or maybe some books and materials for learning GenAI. I like the path which you explained. I would like to secure a job as an expert and then pursue Data Science.

hello sir can you please tell me that learning blockchain and web3 is worth it in 2025 for lucrative package or if someone is interested in it?? As I watched some UA-cam videos in which they are saying that web3 and blockchain are dead and it was all hype??

Yes, I have learn Data Science and trying for the entry-level jobs from 2 years but not able to find, Later the insights from the HR's from the company and software engineers who are working, is the roles related to machine learning and data science required min of 3-4 years of experience. If you are beginner it is very difficult to find a job related to data science

Open ai is not end of the world , it beginning of new era , most of the companies are not trusting the open ai and not happy with its accuracy , they started creating their own LLM , but limited to specific data only . "Early Bird Catches the Worm" now people with ML/DL and transformer model who can create the LLM are highly in demand , and those who dont know these , it will be again 3 years of learning curve . dont mislead people its a social crime