What Order You Should Learn From My Udemy Course On Data Science And Generative AI

Summary

In 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

00:00

🎥 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.

05:00

📚 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.

Keywords

💡Udemy courses

Udemy courses refer to the online educational programs offered by the platform Udemy, where the video creator has uploaded 4-5 affordable courses. These courses focus on data science, machine learning, and generative AI. The creator highlights that they are priced at INR 399 to make education more accessible.

💡Mathematics for Data Science

This is the first recommended course in the learning path and serves as a foundation for data science learners, particularly those without a technical background. It covers essential mathematical concepts like linear algebra and differential calculus that are crucial for understanding data science and AI-related subjects.

💡Linear Algebra

Linear algebra is a branch of mathematics that deals with vector spaces and linear mappings between these spaces. In the context of data science, the course covers how linear algebra is applied in model training, dimensionality reduction, and neural networks. Examples include vector multiplication and its role in algorithms.

💡Data Analyst

A data analyst is a professional responsible for analyzing data and extracting actionable insights. The creator offers a 'Complete Data Analyst Bootcamp' for those interested in this career path. The course covers Python, statistics, EDA (Exploratory Data Analysis), Power BI, SQL Server, and plans to add Excel and Tableau.

💡Machine Learning

Machine learning is a subset of AI focused on building algorithms that can learn from and make decisions based on data. The creator's 'Complete Machine Learning and NLP Bootcamp' covers Python, machine learning algorithms, deep learning, NLP (Natural Language Processing), and MLOps. It prepares learners to work on end-to-end projects.

💡Generative AI

Generative AI refers to AI models capable of generating new data or content, such as text, images, or music. The creator offers a 'Complete Generative AI Course' that covers the entire workflow of generative models, including the use of tools like LangChain and Hugging Face, making it ideal for advanced AI learners.

💡Live sessions

The creator announces that starting next month, live sessions will be added for students who have purchased the courses. These sessions are intended to enhance learning by offering real-time interaction and will be provided for free as a complement to the recorded course materials.

💡NLP (Natural Language Processing)

NLP is a field of AI that enables computers to understand and interpret human language. In the video, the creator discusses the importance of NLP in their Machine Learning Bootcamp, covering key concepts from basic NLP tasks to advanced models like transformers, which are crucial for applications like chatbots and translation systems.

💡Dimensionality Reduction

Dimensionality reduction is a technique in machine learning used to reduce the number of input variables in a dataset. The creator mentions this topic as part of the linear algebra curriculum, explaining its importance in simplifying models and improving performance by eliminating redundant data.

💡Big Data Engineering

Big Data Engineering focuses on designing and managing systems that can handle large-scale data. The creator mentions a future course on Big Data Engineering, where they will collaborate with an industry expert to teach tools and frameworks such as AWS, indicating the growing importance of big data in the tech industry.

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