What Order You Should Learn From My Udemy Course On Data Science And Generative AI
Summary
TLDRIn this video, Krishak shares his gratitude for the overwhelming support and feedback on his affordable Udemy courses. He outlines the recommended order for learning his courses, starting with a comprehensive mathematics course, followed by data science, machine learning, and NLP boot camps. He also introduces a generative AI course. Krishak emphasizes the importance of foundational knowledge for smoother progress and announces upcoming courses on big data and AWS. Additionally, he will host free live sessions for his course participants starting next month.
Takeaways
- 😀 Krishak has uploaded 4-5 affordable Udemy courses and received positive feedback.
- 💼 Many successful career transition stories have emerged from the courses, which Krishak plans to share on LinkedIn.
- 💸 The courses are priced at INR 399 and will remain affordable for accessibility.
- 📚 The first course in the learning order is 'Mathematics: Basic to Advanced for Data Science and Generative AI.'
- 🔢 The mathematics course covers linear algebra, matrix multiplication, statistics, and differential calculus, with applications in data science.
- 📊 For data analysts, Krishak offers a 'Complete Data Analyst Bootcamp' covering Python, statistics, EDA, Power BI, SQL, and more.
- 🤖 Those interested in machine learning and NLP should take the 'Complete Machine Learning and NLP Bootcamp,' which is 92 hours long.
- 🧠 The 'Generative AI Course with LangChain and Hugging Face' covers generative AI and is 53.5 hours long.
- 🔜 Krishak is planning a 'Big Data Engineering' course in collaboration with another mentor, expected to launch in a month.
- 🎥 Starting next month, live sessions will be added for free to complement the courses.
Q & A
What kind of courses has Krishak uploaded on Udemy?
-Krishak has uploaded four to five very affordable courses on Udemy, mainly focused on data science, machine learning, data analysis, and generative AI.
What feedback has Krishak received about his courses?
-Krishak has received overwhelmingly positive feedback from students, including many successful career transition stories. He plans to share these stories on LinkedIn soon.
Why has Krishak kept the course price at ₹399?
-Krishak wants to make the courses accessible to everyone, which is why he has kept the price at ₹399 and does not plan to increase it.
What is the first course Krishak recommends, and why?
-The first course Krishak recommends is 'Mathematics: Basic to Advanced for Data Science and Generative AI.' It covers essential mathematical concepts like linear algebra, vectors, matrix multiplication, and their application in data science. This is especially useful for learners from non-technical backgrounds.
What topics are covered in the mathematics course?
-The course covers topics such as linear algebra, vector transformations, matrix multiplication, PCA (Principal Component Analysis), statistics, and differential calculus. These topics are taught with a focus on how they are applied in data science and machine learning.
What course does Krishak recommend for aspiring data analysts?
-Krishak recommends the 'Complete Data Analyst Bootcamp' for those interested in data analysis. The course covers Python, statistics, EDA (Exploratory Data Analysis), feature engineering, PowerBI, SQL Server, and soon Excel, ETL pipelines, and Tableau.
What is covered in the 'Complete Machine Learning and NLP Bootcamp' course?
-The 'Complete Machine Learning and NLP Bootcamp' covers Python, machine learning, NLP (Natural Language Processing), MLOps, Docker, Git, end-to-end projects, deep learning, and transformers. The course is designed to take learners from basics to advanced topics.
What is included in the 'Complete Generative AI' course?
-The 'Complete Generative AI' course covers prerequisites and advanced topics related to generative AI, including LangChain and Hugging Face. It spans about 53.5 hours of content.
What are Krishak’s future plans regarding new courses?
-Krishak plans to release a 'Big Data Engineer' course in collaboration with a mentor working in an MNC. He also plans to work on Big Data with AWS, with these courses expected to be around 50-60 hours long.
What additional learning support does Krishak offer for his courses?
-From next month, Krishak will be offering free live sessions for those who have enrolled in his courses. These sessions will provide additional learning support.
Outlines
🎥 Introduction to My Udemy Courses and Feedback
Krishak introduces himself and expresses gratitude for the positive response and feedback he's received for his Udemy courses, highlighting their affordability and success stories. He reassures viewers that the course price will remain at 399 rupees to ensure accessibility for all. A frequent question from his audience pertains to the correct sequence for taking his courses, which he plans to address in this video. Links to the courses will be provided in the description.
📚 Course 1: Mathematics for Data Science and Generative AI
Krishak discusses his first recommended course: 'Mathematics Basic to Advance for Data Science and Generative AI,' which is designed for learners from non-technical backgrounds to build a strong foundation in mathematics. The course covers topics like linear algebra, vectors, matrix multiplication, and their practical applications in data science. He emphasizes the importance of understanding these concepts for tasks like dimensionality reduction and neural networks. The course includes 23+ hours of content on topics like linear transformations, statistics, and differential calculus, all tailored to the needs of aspiring data scientists.
🧑💻 Course 2: Data Analyst Bootcamp
Krishak explains the next course in the sequence: 'Complete Data Analyst Bootcamp.' This course is ideal for those interested in becoming data analysts, offering comprehensive coverage of Python, statistics, EDA, feature engineering, Power BI, and SQL Server. He also plans to add content on Excel, ETL pipelines, and Tableau. Currently, the course spans 52.5 hours but will soon be expanded to 80-90 hours. Like the other courses, this one is available for 399 rupees and is highly rated on Udemy.
🤖 Course 3: Machine Learning and NLP Bootcamp
For learners focused on machine learning and natural language processing (NLP), Krishak recommends the 'Complete Machine Learning and NLP Bootcamp,' which covers a wide range of topics from Python to advanced machine learning techniques, including MLOps, Docker, Git, deployments, and real-world projects. The course includes 92 hours of content, offering a thorough understanding of machine learning, NLP, deep learning, and transformers. After completing this course, students will be well-prepared to move on to generative AI.
🤖 Course 4: Generative AI with Langchain and Hugging Face
Krishak presents his fourth course, 'Complete Generative AI with Langchain and Hugging Face,' which offers 53.5 hours of content covering the entire spectrum of generative AI. The course includes prerequisites and takes learners through advanced topics in generative AI with practical examples and hands-on projects. Krishak emphasizes that a lot of effort went into designing the course and that learners will benefit greatly from the comprehensive material.
🚀 Future Plans: Big Data and Live Sessions
Krishak shares future plans, including a course on Big Data Engineering, which he will co-create with a mentor specializing in big data. This course will be available in about a month and will span 50-60 hours. He also mentions working on a Big Data with AWS course, scheduled to launch in a few months. Furthermore, Krishak announces live sessions that will be free for all those who have enrolled in his courses. He expresses gratitude for the positive feedback and high ratings (4.6-4.7) received for his courses, promising to keep them affordable for all.
Mindmap
Keywords
💡Udemy courses
💡Mathematics for Data Science
💡Linear Algebra
💡Data Analyst
💡Machine Learning
💡Generative AI
💡Live sessions
💡NLP (Natural Language Processing)
💡Dimensionality Reduction
💡Big Data Engineering
Highlights
Krishak has uploaded 4 to 5 affordable Udemy courses, receiving overwhelming support and positive feedback.
Many subscribers have shared their successful career transition stories, which Krishak plans to post on LinkedIn.
The courses are priced at ₹399, and Krishak is committed to keeping them affordable for everyone.
The most frequently asked question is about the right order to learn Krishak's courses.
The first recommended course is 'Mathematics Basic to Advanced for Data Science and Generative AI,' covering over 23 hours of linear algebra and its application in data science.
Key topics in the mathematics course include vectors, matrix multiplication, and linear transformations with real-world data science applications.
Krishak explains the importance of linear algebra in data science concepts like Principal Component Analysis, feature engineering, normalization, and neural networks.
The course also covers differential calculus, eigenvalues, and their relevance to dimensionality reduction and deep learning.
The second course, 'Complete Data Analyst Bootcamp,' is for aspiring data analysts and includes Python, statistics, Power BI, SQL Server, and future additions like Excel and ETL pipelines.
For those interested in machine learning and NLP, Krishak offers a 92-hour 'Complete Machine Learning and NLP Bootcamp' covering everything from Python to Transformers.
This course also includes advanced topics like MLOps, Docker, Git, and end-to-end project deployments.
The final course, 'Complete Generative AI Course,' focuses on LangChain and Hugging Face, covering generative AI topics in over 53.5 hours.
Future course plans include a Big Data Engineering course, co-taught with an MNC mentor, and a focus on AWS for big data applications.
Krishak's courses have consistently high ratings (4.6 to 4.7) on Udemy, indicating their popularity and value.
Starting next month, live sessions will be added to the courses for free to enhance student engagement and learning.
Transcripts
hello all my name is krishak and welcome
to my YouTube channel so guys from past
couple of months I have uploaded
somewhere around four to five very
affordable udmi courses for every one of
you out there and trust me the kind of
feedback the the kind of uh questions
that I've actually got and I'm really
really overwhelmed by all your support
it's quite amazing people have really
liked it not only that many successful
career transition stories I have
actually received which I'm actually
going to soon post it in my LinkedIn so
altogether these are really affordable
courses because I have already told you
that to all my subscribers I'll be
giving this course on only in 399 rupees
and I'm not going to increase that
specific price because I really want
everyone to probably have the access of
this particular course okay so uh one of
the question that I have been recently
getting is that Krish what is the right
order to learn your specific courses
right that you have actually come and in
this video I'm going to discuss about
that right and in the description also I
will be giving you in that specific
order itself all the courses link you
can go ahead and check it out okay now
let me just go ahead and probably talk
about it so if you probably go to UD and
just forish search for Krishna you'll be
able to see there will be some courses
from four to five courses that you'll be
able to see but the right order of
learning the specific courses is the
first one is nothing but mathematics
basic to advance for data science and
generative AI okay now why this
mathematic course because understand uh
many people may be from different
background they may be coming from uh
some non-tech background they may
require some basic fundamental of
mathematics that is required to learn
data science right so that is the reason
this particular course is actually
created and it has more than 23 Plus
hours of content related to mathematics
what all things we specifically cover
over here we cover linear algebra right
and in a linear algebra you'll be
learning about scalar vectors
multiplication of vectors what is Vector
multiplication and we'll just not learn
this particular topic and solve some
problem no it is mainly how this
particular topics is applied in data
science field that with that kind of
examples I will try to show it to you so
just to give you an example let's say
that uh I will be showing you some of
the topics in linear algebra okay so
this is the materials that is also
available in the dashboard of this
particular courses so whenever we talk
about vectors how it is related to data
science how do we probably do Matrix how
do we utilize matrix multiplication in
model training how do we utilize it in
dimensionality reduction in neural
network where does mat es come into
picture you know in computer Graphics so
all this vectors how does it basically
gets used this kind of applications
we'll be talking about right not only
that there's a very amazing topic which
is called as linear transformation how
do linear transformation specifically
used how does Vector transformation is
used we'll be talking about that you can
probably go ahead and see this right so
I will show you some of the use cases
that have already written over here
right in principal component analysis in
feature Engineering in normalization
standardization how it is used linear
transformation visualization how it
needs to be done each and everything
right and if you go ahead with respect
to mathematics if you see I've covered
linear algebra in linear algebra from uh
all these topics to functions and
transformation to inverse function or
transformation to igen values to
equation of a land to statistics and
after covering statistics we have
covered uh differential calculus and
finally more applications of linear
algebra and stats and differential
calculus in data science uh in
dimensional deduction even in deep
learning so all those Concepts has been
explained just to give you an idea about
derivatives because many people find out
problems in understanding derivatives so
here we are just not deriving what
exactly is derivative how to calculate a
derivative but instead we are taking we
are considering multiple examples so
here are some of the examples that
you'll be able to see along with the
mathematical notation and this all
derivatives will try to derive it in the
class itself there is just one session
material right so this will be really
important once you learn all these
things trust me once you just start
machine learning once you start your
first machine learning algorithm then it
becomes really easy okay uh because you
get to know you have all the
prerequisits that are already available
okay so this is the first course that
you should definitely follow coming to
the second one which uh after completing
this many people have a question should
we go with the respect to data science
or data analyst so for this I've
actually created two separate course if
your interest is to become a data
analyst we have a course which is called
as complete data analyst boot camp from
from basic to advance here again we will
be covering python statistics Eda
feature engineering powerbi and SQL
Server um along with this I'm also
planning to add Excel we are going to
add ETL pipelines um and along with this
we have also plan to add tblu just in
one course so right now the course
content is somewhere around 52.5 hours
it will become more probably around 80
to 90 hours okay so if your interest is
respect to data analyst you can probably
go ahead and consider this particular
course again it is for $3.99 and it is
one of the highest rated course right
now uh in Udi okay then we have this
complete machine learning and LP boot
camp if you interested to learn machine
learning and LP boot camp then this is
like somewhere around 92 hours of course
where I have uploaded from pythons to
each and everything that is specifically
required right here you will be learning
about machine learning you'll be
learning about NLP you'll be learning
about mlops Dockers git deployments end
to- endend projects many more things not
only that NLP machine learning NLP deep
learning till Transformers everything is
specifically completed so this is really
important so once you cover this entire
course now it's time that you can
actually move towards generative Ai and
finally I have this amazing complete
generative AI course with langin and
hugging face where I have covered from
prerequisites till the entire generative
AI that is actually required till langra
right and this is also somewhere around
um 53.5 hours of content right so lot of
efforts has been Tak taken in order to
create this entire courses guys and this
is the specific order that you should go
ahead with in some days I will also be
coming up with big data Engineers but as
you know that I am not an expert in Big
Data Engineers so I will be
collaborating with one of the mentor who
is working in some mnc's and then we
will try to collaborate and we'll try to
I have 50% of the recordings I will do
it and 50% core things that is required
in Big Data will be done by the other
Mentor so that will also be coming and
it will probably take a one month of
time right so this many courses and
trust me that will also be somewhere
around 50 to 60 hours of content and uh
not only that I also working on Big Data
with AWS so that will be my next Target
probably after a couple of months so
these courses will be we are planning
and we are going to bring in in front of
you but uh I hope uh you know and if you
probably see with respect to all the
ratings so this is 4.7 this is 4.7 this
is 4.6 um this is also 4.7 so amazingly
even udmi has provided me the response
that yes people are liking the specific
courses and thank you for all the
support and I'm going to make sure that
we keep this courses much more
affordable so that everybody will be
able to access and yes one more quick
announcement from the next month we are
also going to have live sessions on
additional to this particular courses
Whoever has taken this courses we will
also be having additional live live
classes so that you and those live
classes will be completely for free for
you all right so yes this was it for my
side I hope you like this particular
video all the information regarding
these courses will be given in the
description of this particular video so
yes I will see you in the next video
thank you
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