Best skills to build in 2025: AI & ML

A complete step-by-step roadmap w/ all free resources: 1. Python

Time: 1 month

Focus on Python programming and basic data structures.

⬙ Detailed Roadmap
x.com/swapnakpanda/s…

⬗ Free Book - Think Python (O'Reilly)
allendowney.github.io/ThinkPython/

⬗ Introduction to Programming with Python
aupress.ca/books/oer-2023…

⬗ Free Book - Introduction to Python Programming
assets.openstax.org/oscms-prodcms/…

⬘ Free Course - Harvard CS50
cs50.harvard.edu/python/

⬖ YouTube - Python for Everybody (freeCodeCamp)
youtube.com/watch?v=8Dvywo…

11 FREE Books from MIT for Absolute Beginners

- Machine Learning (ML)
- Deep Learning (DL)
- Reinforcement Learning (RL)
- Artificial Intelligence (AI)


1. Foundations of Machine Learning

- A classic book for beginners in ML
- Total 505 Pages

🎄 cs.nyu.edu/~mohri/mlbook/

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Python is a MUST in 2025.

This is how to START and be an EXPERT in 1 year: 0. Preliminary Steps

Before deciding to start, ensure you do these

⬩Know your final goal
⬩Set a target for spending daily 1 hour minimum.
⬩Research about Python ecosystem (libraries, frameworks, code editors).

P.S: This is my personal roadmap. I could spend 1 to 2 hours daily for learning and practicing. And it took me ~1 year to finish. It may differ from person to person.

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❯ 18.01 : Single Variable Calculus
❯ 18.02 : Multivariable Calculus
❯ 18.06 : Linear Algebra
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Course links inside: 1. 18.01 - Single Variable Calculus

❯ Course Link
ocw.mit.edu/courses/18-01-…

❯ YouTube PlayList
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SAVE THESE 100+ SITES FOREVER!!!

Open the thread for all the links: 1. Python, AI & ML, Data Science

❯ Python ➟ realpython.com
❯ Python ➟ fullstackpython.com
❯ Python ➟ planetpython.org

❯ Django ➟ learndjango.com

❯ Flask ➟ blog.miguelgrinberg.com/post/the-flask…

❯ FastAPI ➟ fastapi.tiangolo.com/learn/

❯ Machine Learning ➟ developers.google.com/machine-learni…

❯ Machine Learning ➟ tensorflow.org/resources/lear…

❯ Tensorflow ➟ tensorflow.org/learn

❯ Data Science ➟ towardsdatascience.com

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🖇️ All courses: mooc.fi/en/courses/

Be an SQL Expert in just 6 months.

A roadmap for Absolute Beginners: Beginner
⭣ Learn fundamentals ➊
⭣ Working with table ➋
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⭣ Querying the data ➍
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MIT's FREE Courses on AI & ML:

❯ 6.036 : Machine Learning
❯ 6.S191 : Deep Learning
❯ 6.034 : Artificial Intelligence
❯ 18.05 : Probability and Statistics
❯ 18.06 : Linear Algebra
❯ 18.S096 : Matrix Calculus

Course links inside: 1. 6.036 - Machine Learning

❯ Course Link
openlearninglibrary.mit.edu/courses/course…

❯ YouTube Playlist
youtube.com/playlist?list=…

Best skills to build in 2025: AI & ML

Here's a complete roadmap & all free resources: 1. Python

Time: 1 month

Focus on Python programming and basic data structures.

⬙ Detailed Roadmap
x.com/swapnakpanda/s…

⬗ Free Book - Think Python (O'Reilly)
allendowney.github.io/ThinkPython/

⬗ Free Book - Introduction to Python Programming
assets.openstax.org/oscms-prodcms/…

⬘ Free Course - Harvard CS50
cs50.harvard.edu/python/

⬖ YouTube - Python for Everybody (freeCodeCamp)
youtube.com/watch?v=8Dvywo…

FREE Certifications fully accepted in the industry:

1. freecodecamp.org/learn/ 2. University of Helsinki

❯ Python Programming
programming-25.mooc.fi

❯ Data Analysis with Python
courses.mooc.fi/org/uh-cs/cour…

❯ AI
elementsofai.com

❯ DevOps with Kubernetes
devopswithkubernetes.com

❯ Fullstack Web Development
fullstackopen.com

🖇️ All courses: mooc.fi/en/courses/

Stanford's FREE Courses on AI & ML:

❯ CS221 - Artificial Intelligence
❯ CS229 - Machine Learning
❯ CS230 - Deep Learning
❯ CS234 - Reinforcement Learning
❯ CS229M - ML Theory
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❯ CS224U - NL Understanding

Course links inside: 1. CS221 - Artificial Intelligence

🖇 youtube.com/playlist?list=…

Python is a MANDATORY skills in 2025.

This is how you can be an EXPERT in 1 year: 0. Preliminary Steps

Before deciding to start, ensure you do these

⬩Know your final goal
⬩Set a target for spending daily 1 hour minimum.
⬩Research about Python ecosystem (libraries, frameworks, code editors).

P.S: This is my personal roadmap. I could spend 1 to 2 hours daily for learning and practicing. And it took me ~1 year to finish. It may differ from person to person.

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11 Python Books, Absolutely FREE


1. Machine Learning with Python

🎄 python-course.eu/books/bernd_kl…

Top 60+ YouTube Courses to learn

- Python
- Java
- C/C++
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- C#
- PHP
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- Rust


1. Python

❯ Python (Absolute Beginners)
youtube.com/playlist?list=…

❯ Python
youtube.com/playlist?list=…

❯ Django
youtube.com/playlist?list=…

❯ Flask
youtube.com/playlist?list=…

❯ FastAPI
youtube.com/playlist?list=…

❯ Numpy
youtube.com/playlist?list=…

❯ Pandas
youtube.com/playlist?list=…

❯ Scikit-Learn
youtube.com/playlist?list=…

❯ Data Science
youtube.com/watch?v=yGN28L…

MIT's FREE AI & ML Courses

❯ 6.036 - Machine Learning
❯ 6.S191 - Deep Learning
❯ 6.034 - Artificial Intelligence
❯ 18.05 - Probability and Statistics
❯ 18.06 - Linear Algebra
❯ 18.S096 - Matrix Calculus

All course links inside: 1. 6.036 - Machine Learning

❯ Course Link
openlearninglibrary.mit.edu/courses/course…

❯ YouTube Playlist
youtube.com/playlist?list=…

Save these 100+ Sites FOREVER!!!

Open the thread for all the links: 1. Python, AI & ML, Data Science

❯ Python ➟ realpython.com
❯ Python ➟ fullstackpython.com
❯ Python ➟ planetpython.org

❯ Django ➟ learndjango.com

❯ Flask ➟ blog.miguelgrinberg.com/post/the-flask…

❯ FastAPI ➟ fastapi.tiangolo.com/learn/

❯ Machine Learning ➟ developers.google.com/machine-learni…

❯ Machine Learning ➟ tensorflow.org/resources/lear…

❯ Tensorflow ➟ tensorflow.org/learn

❯ Data Science ➟ towardsdatascience.com

I am a JavaScript Developer since 2005.

If I plan to learn it in 2025, I will do this: ➊ Fundamentals

Effort: 1 to 2 hours per day
Time: 2 weeks

➀ JavaScript Engine
➁ JavaScript Runtime
➂ Execution Context
➃ Hoisting
➄ Call Stack
➅ Event Loop
➆ Callback Queue

10 FREE Books from Cambridge University

- AI & ML
- Deep Learning
- Data Science
- Mathematics


1. Understanding Machine Learning

- 449 pages
- This textbook introduces machine learning, and the algorithmic paradigms in a principled way.
- Ideal for students and non-expert readers in statistics, computer science, and mathematics.

🎄 cs.huji.ac.il/~shais/Underst…