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there are people making over 20 lakh per
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year as a AI engineer in India and if
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you want to get started in 2024 here are
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the best 10 courses that you can enroll
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for completely free and become a AI
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engineer I've divided these 10 into
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three different categories the beginner
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the intermediate and the advanced
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courses I will also talk about what can
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you learn from each course and why is
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this one important but before we talk
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about the 10 AI courses let's talk about
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the prerequisite yes you you do need
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some prerequisite the first thing is
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maths the second thing is a language to
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code and lastly is understand about data
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analysis first thing is mathematics no
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I'm not talking about solving really
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long questions that can be handled by
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the computer what you need to focus on
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is understanding the basics of matrix
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multiplication linear algebra you need
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to learn about the basics of calculus
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how does integration happen what is the
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differentiation and how do you calculate
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the area under the curve Basics right
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you don't have to solve it yourself but
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you have to understand what these things
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really mean because it will be important
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when you start building models of your
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own there is an amazing playlist on
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YouTube which is Catered towards machine
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learning all the maths you need to learn
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about machine learning is in that one
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video so go have a look at that and that
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will give you the basic Head Start into
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the world of mathematics for machine
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learning that is the first thing
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secondly you have to master python now
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there are other languages as well that
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you can use like JavaScript or or others
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but python is is the most popular
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language that people use for creating
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machine learning models and if you want
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to learn about python there is an
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amazing playlist on Tech with Tim's
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YouTube channel which I personally use
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to learn about Python and that will give
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you a very basic understanding of how to
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use basic data types what are
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conditionals what are you know functions
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and for loops and how do you create
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basic objects and how do you create
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classes so that is a great starting
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point for you all again completely free
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you can also have a look at python for
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everybody it's a course available on
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course era if you are interested that
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will also give you a good start but now
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you know a language and now you have a
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basic idea of mathematics the next step
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is learning about data analysis so what
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is machine learning it's all about
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taking in data and predicting data in
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the future so for that you need to learn
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how do you use data particularly there
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are three packages or libraries in
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Python that you have to manage and learn
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about the first one is NP then you have
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Mt plot lib and you also have pandas
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numpy will help you take data and
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organize it into arrays and list the
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second thing is pandas which will
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basically help you to organize that data
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into tables and then query that data so
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that is the third thing the fourth thing
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at the end is matte plot lib and that is
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how you'll be able to visualize your
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results so it could be a line chart it
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could be a bar chart it could be a pie
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chart anything that you want to
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represent you can do it very simply with
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with the help of Matt plot lib so these
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three libraries are really important for
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you to understand before we even talk
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about the AI courses so have a look at
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these three libraries there's a YouTube
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video on free Cod Cam's Channel which is
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talking about numai Matt plot lip and
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pandas I'll link it in the description
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of this video go have a look at it and
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now once you've learned all these three
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topics you can now very easily start
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learning about Ai and let's start with
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the first course and this is to
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understand the basics of chat GPT and
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generative AI now in the beginner
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category the first course to check out
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is generative AI for everyone this
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course on Cera will give you the basic
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idea of what generative AI is how are
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large language models working and what
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can you actually do by applying
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generative AI in your own life so this
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is a very simple 3we course you can
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audit it for free on course era you'll
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also learn about the basics of building
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generative AI projects and what are the
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steps involved in every single one of
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them and the course ends with talking
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about how businesses and the society can
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get value from generative AI it also
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talks about the various problems of AI
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and what it cannot really do and this is
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a great starting point for you the next
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course is from Microsoft available on
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LinkedIn and this one is career
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Essentials for generative AI now this
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course is amazing because it talks about
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how can you use generative AI tools like
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365 co-pilot and apply it on to your
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daily tasks so for example if you're
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making a spreadsheet if you are making a
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simple dock if you are doing the normal
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things you will do in your coroporate
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work how can you optimize it how can you
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save time how can you use generative AI
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in your workflow is what they talk about
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in that complete course it's very simple
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to the point I think it's about 2 to
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three hour long course and this will
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give you the basic idea for how do you
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apply things right it's one thing to see
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how it works it's another to see how can
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you apply it into your own workflow it's
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a great course if you're already working
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somewhere and you want to see how can
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you cut your time in doing whatever task
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that you have to do throughout the day
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so go have a look at this course by
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Microsoft on generative AI on LinkedIn
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now the third course is amazing because
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this one is taught by Andrew NG and it
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is available on deep learning AI website
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this one is called chat GPT prompt
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engineering now this is a very short
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course which talks about how can you
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write prompts it shares a lot of tips
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and tricks that you can employe to write
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better prompts and get better answers
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you have to understand that everyone has
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access to chat GPT what differentiates
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you from everyone else is the prompts
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you are typing and that is why you need
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to take this course it talks about if
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you're trying to find an answer to a
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question if you are looking for some
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advice if you're looking for some
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feedback if you're looking for anything
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from chat GPT what is the right way to
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ask chat GPT or any other large language
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model so go have a look at this course
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it's available on deep learning AI by
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the way the description destion will
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have links to all the courses that you
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can check out and buy for your own self
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these three were the beginner level
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courses so now you have a basic
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understanding of what generative AI is
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you basically know what chat GPT is how
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to write prompts on chat GPT now let's
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dig deeper into the world of generative
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Ai and llms large language models and
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the first course that I have in the
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intermediate list is this one from
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Andrew NG available on corsera called as
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machine learning by Stanford now this
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course has an in-depth guide on how can
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you build these models from scratch so
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it basically gives you an idea of what
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it takes to build a AI model from
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scratch so you will learn everything
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from supervised machine learning
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unsupervised machine learning
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reinforcement learning you'll have a
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look at both regression problems and
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classification problems and you'll have
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a better understanding for what goes on
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inside of each of these models so do
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take a look at this course it's
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available on Corsa you have to audit the
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course there will be a option to audit
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it when you will click on get this for
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free or enroll in this course and that
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is a great way for you to get access to
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this one again it's a very important
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course it's also the most popular course
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out there in the field of machine
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learning so you have to take a look at
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this the next course is by cs50 so
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Howard has this course called as cs50
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available publicly to anyone around the
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world it is an amazing way for you to
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get a basic understanding of of AI the
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course is particularly called cs50 Ai
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and this course goes into depths of the
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concepts that you need to understand
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like neural networks like multi-layer
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perceptrons like back propagation so
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you'll have a basic understanding of how
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do you create an algorithm and how does
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a model learn to detect patterns in
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machine learning and that will give you
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a deeper understanding of how everything
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works they explain it in very simple
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terms and you will be able to understand
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everything it is about 12 hours long and
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it takes you from the very basic
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of learning and uncertainty all the way
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up to giving you an idea of how neural
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networks operate so have a look at this
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second course now talking about the
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final course this one is Google's nine
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course long learning path called as
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introduction to generative AI now this
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is a amazing place where you can
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understand how can you use the Google
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Suite of generative AI tools to build
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apps yourself this course will give you
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the basic idea of how Transformers
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operate what are bird models and you
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will also understand how image
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generation happens with the help of
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neural networks so while in the beginner
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mode you are understanding what can you
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do with these AI models and large
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language models with the intermediate
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courses you understand what is happening
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behind the scenes under the hood and
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once you understand that we can now
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finally go into the advanced part in
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which where there will be four courses
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which will teach you how can you build
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your own AI models right if you're
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excited about that hit the like button
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but let's talk about these four courses
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the first one is is again available on
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deep learning AI site and this one is
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called Building Systems with Char GPT
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API now the easiest thing you can do
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right now is to take the open ai's API
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for CH GPT and plug it into your own app
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so instead of you having a preferred you
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know backend and and database and
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everything you can simply have a API
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endpoint attach it with the API and you
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can get responses on your front end
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itself generated from the query you sent
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to the chat GPT API place so this is a
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very simple method it will teach you
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exactly how can you build a simple app
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which relies on the chat GPT API so with
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this you'll understand the basics of
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that API and how can you build apps with
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it and the cherry on the cake the
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instructor is actually from open AI so
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they will be sharing the best practices
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that you can use to use the CH GPT API
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that is the first course you can use
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another course on the Deep learning AI
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site itself is using Lang chain to build
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llm applications right now this course
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is how you will learn to build real
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world large language model apps so what
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is Lang chain Lang chain basically
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enables you to build generative
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applications very easily so you will be
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learning about how to use it to build
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generative EI applications fast you will
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basically be able to train llms on your
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own personal data and create particular
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chat Bots which can only answer queries
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based on the data that they've been fed
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so that is a great way for you to get
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started with building Genera apps now
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the Third course you need to check out
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is building AI apps with the help of
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gradio what is gradio if you have
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learned python yourself then this course
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will make a lot of sense because gradio
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works on python repositories so
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basically what you do with gradio is you
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would be able to deploy and run any ml
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model that you've created so you'll be
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able to generate a very simple
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generative AI you know app in a few
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minutes with just a few lines of text
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and code so this is again a great way
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for you to get started with building
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generative AIS from scratch with the
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help of radio the last course you can
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check out which is on NLP natural
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language processing is by hugging face
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now on hugging face you can understand
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how do these large language models
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actually work and with that you will
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have a deeper understanding of how can
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you use these models to build new apps
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yourself right so again all these apps
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are linked in the description of this
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video everything from the beginner to
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intermediate to advanced level I think
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you should take all of these courses
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learn from them and start building
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something of your own tell me in the
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comment section which is your favorite
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course from all of these I would love to
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read all of them if you're still
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watching this video write in the comment
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section I was till the very end thank
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you very much you can share this video
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with your friend you can tag me on
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social media by clicking a screenshot
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and my at theate is ishan Sharma 7390 I
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will see you all in the next video thank
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you for watching I have an in-depth AI
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road map if you want to learn more it
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would be over here or somewhere here and
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that will give you a basic basic
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understanding of how can you become an
00:12:01
AI engineer like what do you need to
00:12:03
learn and what are some tips that you
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need to keep in mind for becoming an AI
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engineer in 2024 so have a look at that
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I'll see you in the next video bye
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[Music]
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[Music]
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[Music]
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bye
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[Music]
