Python For Everybody : Python Programming for AI MADE EASY

The fastest-growing tech job right now is the AI Engineer.

An AI Engineer builds AI applications (Agentic AI workflows) that interface with AI models to perform useful tasks automatically.

AI Engineers are Software Engineers with a strong focus on automating workflows using AI models.

Demand has risen substantially for Software Engineers with extensive industry experience.

As AI accelerates code generation, code comprehension becomes the critical bottleneck.

In this new era where AI can write codes (and write faster than a human can), remember that fast does not mean reliable.

The future belongs to engineers who can read, review, and validate code - not just write code.

The AI language of choice is indisputably Python.

A new section "Python for AI" is now added to this course - chapters include What are AI Models, How LLMs Respond to Prompts, How to Write Effective Prompts, APIs & LLMs ...

Topics covered include AI model training, supervised learning, self-supervised learning, unsupervised learning, reinforcement learning, inference, tokenization, embeddings, neural network, transformer, next-token prediction, autoregressive generation, prefill, decoding strategy, AI hallucination, prompt engineering ...

This new section will continuously be expanded with new and updated chapters on AI.

Software Engineers of today must not only know coding - they must know the underlying AI concepts in this new era of AI.

This course must keep up with the times - all new chapters added will be in the section "Python for AI".

Due of the rapidly changing AI technology and the increasing availability of new and better AI tools - the focus for AI teaching will be on concepts more than on implementation details.

17 new videos has been added in the recent months of 2026.

A cautionary note :

While AI Engineers (who focus on building Agentic AI workflows) are currently in higher demand - it is the traditional Software Engineers who can build software applications, not just Agentic AI workflows, who are critically needed. If there are no Software Engineers to continue building traditional software, there will be no workflow to automate.

Yes, Python developers are in high demand.

As of 2025, according to a number of analyses and surveys (including the TIOBE index), Python has indeed overtaken JavaScript as MOST POPULAR programming language - and by a wide margin.

Python software engineers are also among the highest-paid software developers today.

The Python language is easy to learn, yet POWERFUL.

YouTube, Dropbox, Google, Instagram, Spotify, Reddit, Netflix, Pinterest - they are all developed using Python.

And most recently, ChatGPT is also written in Python.

Learning Python opens up the possibilities of a whole new career in Machine Learning, AI, and Data Science.

Python is also THE programming language for AI Engineers and Data Engineers.

The course is presented in an easy-to-follow format with animation and graphics.

I have put in my very best to make it as easy to understand as possible for everybody.

The course title "Python for Everybody : Python Programming MADE EASY" has 2 significant words - "Everybody" & "EASY".

To create a course that is for everybody, it must be in a SIMPLE format.

In order to create “MADE EASY” videos, there should be as little verbosity as possible.

Scripts and speeches that are long-winded & wordy will defeat the purpose of a “MADE EASY” course.

That is how the “In A Nutshell” videos forces me to present concepts as simplistic as possible - with less verbose.

Focusing on using visuals to explain makes it easier for students to understand and remember.

There will be no quizzes, no assignments, no exercises. These are too academic. The focus of this course is to reinforce the concepts through interesting video presentations.

This is a hands-on course that provides the student with step-by-step guidance in coding Python programs, explaining the syntax and concepts behind every piece of code that is shown.

Variables, Data Structures, Algorithms, Control Structures, Functions, Language Syntax, and more, are all taught in this course.

For the benefit of those who are new to programming, there is a video on what programming is all about.

A different approach from the usual instructor typing code teaching method has been adopted - the computer types the codes instead.

Free preview of some of the videos are available - without you having to pay a cent.

This will allow potential course buyers to make a well-informed decision before paying for it.

There are no prerequisites for this course.

This is a foundation course in Python that does not assume any knowledge of programming.

Also, remember to keep your expectations that this is supposed to be a beginners' course and does not go into intermediate or advanced Python.

As an instructor for a course that is for everybody who wants to learn programming in Python (“Python for Everybody”), it is imperative to cater to those who are new and have little to no knowledge of this subject.

Recap learning helps those who are completely new (this is a beginners’ course) and it has motivated me to create “in a nutshell” videos that are presented in a different format simply using slides only.

The effort to create just a short recap video is a challenging task for me - and for the slower learners, my extra effort is towards helping this group.

Fast learners and those who already have a programming background can always skip the "in a nutshell" videos - they are carved out as separate videos so that it is easy for you to do so.

This course does not claim to teach everything, just as no other courses can ever teach you everything you need to know about Python.

The main purpose of this course is to ensure students master the essential concepts of the Python language so that they will begin to LOVE the language.

Python variables, Python data types, Python string operations, Python data structures, Python operators, Python conditionals, Python loops, Python functions, Python modules, Python exception handling, Python file operations, Python virtual environments, Python pandas, Python OOP, Pythonic code, Python matplotlib, Databases, Python SQL - these topics are all covered in this course.

Many of these topics have Part 2 in the workings.

New videos are constantly being added into the "Python for AI" section.

This course wants you to be inspired to learn Python.

Come on and join me in my Python For Everybody lessons.

So let's get started.

Cheers, and Happy Learning The Python Language.

One other thing :

There is no best instructor.

You should learn from other instructors as well.

Every instructor is different - So Am I.

But every instructor shares something in COMMON -

AS WE TEACH, WE LEARN EVEN MORE !

No single approach to teaching can suit every student.

I am not here to deliver a perfect course.

I am here to give my best to teach in a way that a beginner can comprehend easily.

After taking the course - leave a rating. Remember that this is a foundation course.

And be honest and write truthfully whether it is a good or bad course.

If this course is bad, tell me truthfully so that I can further improve on it - that's when I become your student !

If this course is good, let others know so that they too can benefit from learning.

Everyone is still learning - instructors are NO exceptions.

Python Is For Everybody.

Remember : The more codes AI can generate at lightning speed, the more human Software Engineers will be needed who can review and verify - for safety and reliability.

AI has changed coding forever.

Because of AI code hallucinations - human-in-the-loop code review becomes a mandatory requirement.

So join me in my passion - as developers who know how to code in the age of AI !