Preparing for Careers in Data Science, Machine Learning, and AI: A Comprehensive Guide

Our next live session is a public live session on the coming Sunday, which is the 28th of February 2021 at 7 pm. This is a regular live session hours for all of our AI students. Again, this live session itself is public, which means it will be available on our YouTube channel for everyone to participate in and learn from. The topic of discussion this time is how to prepare and what to prepare for careers in data science machine learning and AI.

This topic is fairly broad, so we'll break it down into multiple chunks to make it more manageable. First, we'll talk about various companies that offer career opportunities in data science, machine learning, and AI. This includes services firms, small service companies, large service companies, product-based startups, and product-based large corporations and companies. We'll explore how careers in data science, machine learning, and AI differ between these companies.

We'll also discuss the various roles that you can prepare for in the field of data science, machine learning, and AI. You can prepare for a data analyst or business analyst type of role, a data scientist role, a machine learning engineer, a computer vision engineer, an NLP engineer, a deep learning engineer, or an applied scientist role. We'll also discuss research scientist roles and how these roles differ in general and across the spectrum of companies.

Another important dimension to consider is your background as a candidate. This includes freshers from a computer science background or non-CS backgrounds, individuals with less than three years' experience in IT or non-IT fields, those with three to eight years of experience, and those with eight plus years of experience. We'll cover how to prepare for various roles at a wide spectrum of companies, taking into account your background and level of experience.

We want to be as exhaustive as possible in our discussion, so we'll try to cover as many cases as possible. Our goal is to provide students who are planning to learn and transition to careers in data science machine learning and AI with a clearer picture on what to learn, how deep to learn, and how to prepare for these careers and interviews at these companies.

Join us at 7 pm on our YouTube channel on the 20th of February. In the description section of this video, we'll post a link to the actual live session itself, where you can join in and participate in the discussion.

"WEBVTTKind: captionsLanguage: enhi friends our next live session is a public live session on the coming sunday which is the 28th of february 2021 at 7 pm this is a regular live session hours for all of our ai students again this live session itself is public which means it will be available on our youtube channel for everyone to participate in and the topic of discussion this time is how to prepare and what to prepare for careers in data science machine learning and ai again we will talk about both what to prepare and how to prepare again this is a fairly broad topic so we'll break it down into multiple chunks for example first we will talk about various companies for example whether it is services firms small services companies and large services companies similarly product based startups and product based large corporations and companies how careers in data science machine learning at ai and what is needed for those careers differ between these companies this this is one dimension in which we will cover the will cover concepts and topics in this live session the other dimension is various roles like you could prepare for a data analyst or a business analyst type of role or you could prepare for a data scientist role or a machine learning engineer or a computer vision engineer or a nlp engineer or a deep learning engineer similarly you can also prepare for applied scientist roles or research scientist roles so we will also discuss about how these roles differ again how these roles differ in general and how these roles differ across the spectrum of companies right and what you need to prepare and how well do you need to prepare for this spectrum of companies for various roles similarly there is one more dimension which is the background of candidates imagine if you're a fresher from a computer science background or a non-cs background what is the topics and how should you prepare for various careers and various companies similarly if you're somebody with less than three years experience in i.t or in non-it fields similarly if you're somebody with three to eight years experience or someone with eight plus years experience right so we'll try and cover how and what to prepare for various roles at a wide spectrum of companies for candidates with various backgrounds again we'll try and be as exhaustive as possible we will try and cover as many cases as possible so that various students who are planning to learn and also transition to careers in data science machine learning and ai will have a much clearer picture on what to learn how deep to learn and how to prepare for these careers and interviews at these companies so see you all at 7pm on our youtube channel on the 20th of february in the description section of this video we will post a link to the actual live session itself where you can joinhi friends our next live session is a public live session on the coming sunday which is the 28th of february 2021 at 7 pm this is a regular live session hours for all of our ai students again this live session itself is public which means it will be available on our youtube channel for everyone to participate in and the topic of discussion this time is how to prepare and what to prepare for careers in data science machine learning and ai again we will talk about both what to prepare and how to prepare again this is a fairly broad topic so we'll break it down into multiple chunks for example first we will talk about various companies for example whether it is services firms small services companies and large services companies similarly product based startups and product based large corporations and companies how careers in data science machine learning at ai and what is needed for those careers differ between these companies this this is one dimension in which we will cover the will cover concepts and topics in this live session the other dimension is various roles like you could prepare for a data analyst or a business analyst type of role or you could prepare for a data scientist role or a machine learning engineer or a computer vision engineer or a nlp engineer or a deep learning engineer similarly you can also prepare for applied scientist roles or research scientist roles so we will also discuss about how these roles differ again how these roles differ in general and how these roles differ across the spectrum of companies right and what you need to prepare and how well do you need to prepare for this spectrum of companies for various roles similarly there is one more dimension which is the background of candidates imagine if you're a fresher from a computer science background or a non-cs background what is the topics and how should you prepare for various careers and various companies similarly if you're somebody with less than three years experience in i.t or in non-it fields similarly if you're somebody with three to eight years experience or someone with eight plus years experience right so we'll try and cover how and what to prepare for various roles at a wide spectrum of companies for candidates with various backgrounds again we'll try and be as exhaustive as possible we will try and cover as many cases as possible so that various students who are planning to learn and also transition to careers in data science machine learning and ai will have a much clearer picture on what to learn how deep to learn and how to prepare for these careers and interviews at these companies so see you all at 7pm on our youtube channel on the 20th of february in the description section of this video we will post a link to the actual live session itself where you can join\n"