How to Best Learn Machine Learning and AI in Six Months: A Public Live Session on YouTube

Our next live session for all of our AI students is a public live session on the coming Sunday, which is the 27th of December 2020 at 7 pm. Since this is a public live session, we will conduct it via our YouTube channel and the topic of discussion is one that many of our students ask us about so frequently. The topic here is how to best learn machine learning and AI in six months.

If you put in consistent and persistent effort of 12 to 15 hours a week, you can comfortably learn machine learning and AI in six months and be prepared for career transition into AI data science and machine learning. We thought we will discuss how you can do this and what are the best strategies that work based on a lot of learnings we have had from our own students.

Our students often ask us a bunch of questions about how to learn, what is the best way to learn, how do I manage my time, what sort of project should I do. We collated all these questions and thought we will answer all these questions as part of this broader theme which is how to best learn machine learning and AI in six months.

Some of the questions that our students ask us include what is it that I should learn and watch, what are the topics like for example in programming what should I focus on in SQL. We'll cover what sort of projects and portfolio that you should build on your GitHub and write technical blogs about. Similarly, another very important question is what is the best learning strategy for me or given that imagine I am a college student or I am a working professional or I am a senior working professional with about five to ten years of experience.

We will focus on what to learn and when you're learning what are the aspects of each component of machine learning and AI that you should focus more on. We'll also cover the types of roles that are there in data science and machine learning and AI because I'm confused with all these titles like data analysts, data scientist, AI engineer, machine learning engineer.

There are so many titles what do they mean and for each of these roles and titles what are the skill sets that recruiters are looking for in 2020 and 2021. We will try to answer as many questions as possible from all the participants in this public live session through our open Q&A section at the end of the concepts that we cover.

We have a sample of questions here, basically showing you what questions like what to learn what should I focus on how do we build a portfolio of projects. But at the end of it, I'm sure we'll never be able to cover all the questions so that's why we have our open Q&A section where we will try to answer as many questions as possible from all the participants in this public live session.

So see you all tomorrow which is Sunday which is the 27th of December at 7 pm on our YouTube channel.

"WEBVTTKind: captionsLanguage: enhi friends our next live session for all of our ai students is a public live session on the coming sunday which is the 27th of december 2020 at 7 pm since this is a public live session we will conduct it via our youtube channel and the topic of discussion is is a very important question that lot of our students ask us so the topic here is how to best learn machine learning and ai in six months so if you put in consistent and persistent effort of 12 to 15 hours a week you can comfortably learn machine learning and ai in six months and be prepared for career transition into ai data science and machine learning so we thought we will discuss how we how can you do this and what is the best strategies what works based on a lot of learnings we have had from our own students now again lot of our students ask us a bunch of questions what is the best way to learn how do i manage my time what sort of project should i do all these questions we collated and we thought we will answer all these questions as part of this broader theme which is how to best learn machine learning and ai in six months so some of the questions just to give you a flavor of it would be like what is it that i should learn and watch what are the topics like for example in programming what should i focus on in sql what is it that should have what should what what is it that i should focus more on in machine learning algorithm should i focus more on code should i focus more on libraries should i focus more on mathematics should i focus more on real world problem solving what is it that is important so we will focus on what to learn and when you're learning what are the aspects of each component of machine learning and ai that you should focus more on we'll also cover what sort of projects and portfolio that you should build on your github and write technical blogs about similarly other questions that we get very often is what is the best learning strategy for me or given that imagine i am a college student or i am a working professional or i am a senior working professional with about five to ten years of experience what how do i manage my time what are the best strategies that work based on a lot of the students and learners that we have seen on our own platform and similarly another very important question is what are all the types of roles that are there in data science and machine learning and ai because i'm confused with all these titles like data analysts data scientist ai engineer machine learning engineer there are so many titles what what do they mean and for each of these roles and titles what are the skill sets that recruiters are looking for in 2020 and 2021 so similarly we again these are some of the questions that we will cover but as usual we'll have a detailed question and answer session at the end of the concepts that we cover so we will try and answer these questions in lots of detail all they all i mean what i'm just showing you here is basically a sample of questions like what to learn what should i focus on how do we build a portfolio of projects all of this but at the end of it i'm sure we'll never be able to cover all the questions so that's why we have uh open q a where we will try to answer as many questions as possible from all the participants in this public life session so see you all tomorrow which is this come which which is sunday which is the 27th of december at 7 00 pm on our youtube channelhi friends our next live session for all of our ai students is a public live session on the coming sunday which is the 27th of december 2020 at 7 pm since this is a public live session we will conduct it via our youtube channel and the topic of discussion is is a very important question that lot of our students ask us so the topic here is how to best learn machine learning and ai in six months so if you put in consistent and persistent effort of 12 to 15 hours a week you can comfortably learn machine learning and ai in six months and be prepared for career transition into ai data science and machine learning so we thought we will discuss how we how can you do this and what is the best strategies what works based on a lot of learnings we have had from our own students now again lot of our students ask us a bunch of questions what is the best way to learn how do i manage my time what sort of project should i do all these questions we collated and we thought we will answer all these questions as part of this broader theme which is how to best learn machine learning and ai in six months so some of the questions just to give you a flavor of it would be like what is it that i should learn and watch what are the topics like for example in programming what should i focus on in sql what is it that should have what should what what is it that i should focus more on in machine learning algorithm should i focus more on code should i focus more on libraries should i focus more on mathematics should i focus more on real world problem solving what is it that is important so we will focus on what to learn and when you're learning what are the aspects of each component of machine learning and ai that you should focus more on we'll also cover what sort of projects and portfolio that you should build on your github and write technical blogs about similarly other questions that we get very often is what is the best learning strategy for me or given that imagine i am a college student or i am a working professional or i am a senior working professional with about five to ten years of experience what how do i manage my time what are the best strategies that work based on a lot of the students and learners that we have seen on our own platform and similarly another very important question is what are all the types of roles that are there in data science and machine learning and ai because i'm confused with all these titles like data analysts data scientist ai engineer machine learning engineer there are so many titles what what do they mean and for each of these roles and titles what are the skill sets that recruiters are looking for in 2020 and 2021 so similarly we again these are some of the questions that we will cover but as usual we'll have a detailed question and answer session at the end of the concepts that we cover so we will try and answer these questions in lots of detail all they all i mean what i'm just showing you here is basically a sample of questions like what to learn what should i focus on how do we build a portfolio of projects all of this but at the end of it i'm sure we'll never be able to cover all the questions so that's why we have uh open q a where we will try to answer as many questions as possible from all the participants in this public life session so see you all tomorrow which is this come which which is sunday which is the 27th of december at 7 00 pm on our youtube channel\n"