Best skills to build in 2025: AI & ML Here's a comlete roadmap w/...
Swapna Kumar Panda@swapnakpanda
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May 05, 2025
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Best skills to build in 2025: AI & ML
Here's a comlete roadmap w/ all free resources:
Here's a comlete roadmap w/ all free resources:
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1. Python
Time: 1 month
Focus on Python programming and basic data structures.
⬙ Detailed Roadmap
⬗ 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…
Time: 1 month
Focus on Python programming and basic data structures.
⬙ Detailed Roadmap
⬗ 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…
Swapna Kumar Panda@swapnakpanda
Python is a MANDATORY skill in 2025.
Here’s how to be an EXPERT in a year:
Here’s how to be an EXPERT in a year:
3
2. Mathematics for AI/ML
Time: 2 Months
➤ Key Topics
✩ Linear Algebra
✩ Single and Multivariable Calculus
✩ Probability & Statistics
⬙ Free Book
❯ Mathematics for Machine Learning
mml-book.github.io/book/mml-book.…
❯ Mathematics for Machine Learning (UC Berkeley)
gwthomas.github.io/docs/math4ml.p…
⬗ More Free Books
⬘ Free Course - Khan Academy
❯ Linear Algebra
khanacademy.org/math/linear-al…
❯ Probability & Stats
khanacademy.org/math/statistic…
⬖ YouTube
youtube.com/@JonKrohnLearns
Time: 2 Months
➤ Key Topics
✩ Linear Algebra
✩ Single and Multivariable Calculus
✩ Probability & Statistics
⬙ Free Book
❯ Mathematics for Machine Learning
mml-book.github.io/book/mml-book.…
❯ Mathematics for Machine Learning (UC Berkeley)
gwthomas.github.io/docs/math4ml.p…
⬗ More Free Books
⬘ Free Course - Khan Academy
❯ Linear Algebra
khanacademy.org/math/linear-al…
❯ Probability & Stats
khanacademy.org/math/statistic…
⬖ YouTube
youtube.com/@JonKrohnLearns
4
3. Data Analysis & Visualization
Time: 1 month
Learn about various Python libraries (numpy, Pandas).
⬙ Free Book: Python for Data Analysis (O'Reilly)
wesmckinney.com/book/
⬗ 9 more Free Books
⬘ Free Course - freeCodeCamp
freecodecamp.org/learn/data-ana…
⬖ YouTube
youtube.com/playlist?list=…
Time: 1 month
Learn about various Python libraries (numpy, Pandas).
⬙ Free Book: Python for Data Analysis (O'Reilly)
wesmckinney.com/book/
⬗ 9 more Free Books
⬘ Free Course - freeCodeCamp
freecodecamp.org/learn/data-ana…
⬖ YouTube
youtube.com/playlist?list=…
5
5. Machine Learning Algorithms
Time: 2 to 3 months
➤ Key Topics
✩ Supervised Learning
✩ Unsupervised Learning
✩ Reinforcement Learning
⬙ Free Book - Understanding ML (Cambridge)
cs.huji.ac.il/~shais/Underst…
⬗ Free Books from MIT
⬗ Free Books from Cambridge
x.com/swapnakpanda/s…
⬘ Free Course - Coursera
❯ Supervised Learning
coursera.org/learn/machine-…
❯ Unsupervised Learning
coursera.org/learn/unsuperv…
❯ Reinforcement Learning
coursera.org/specialization…
⬖ YouTube - CampusX (100 Days of ML)
youtube.com/playlist?list=…
⬖ YouTube - Sebastian Raschka
youtube.com/playlist?list=…
Time: 2 to 3 months
➤ Key Topics
✩ Supervised Learning
✩ Unsupervised Learning
✩ Reinforcement Learning
⬙ Free Book - Understanding ML (Cambridge)
cs.huji.ac.il/~shais/Underst…
⬗ Free Books from MIT
⬗ Free Books from Cambridge
x.com/swapnakpanda/s…
⬘ Free Course - Coursera
❯ Supervised Learning
coursera.org/learn/machine-…
❯ Unsupervised Learning
coursera.org/learn/unsuperv…
❯ Reinforcement Learning
coursera.org/specialization…
⬖ YouTube - CampusX (100 Days of ML)
youtube.com/playlist?list=…
⬖ YouTube - Sebastian Raschka
youtube.com/playlist?list=…
Swapna Kumar Panda@swapnakpanda
11 FREE Books from MIT for Absolute Beginners
- Machine Learning (ML)
- Deep Learning (DL)
- Reinforcement Learning (RL)
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning (DL)
- Reinforcement Learning (RL)
- Artificial Intelligence (AI)
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6. Deep Learning
Time: 2 to 3 months
➤ Key Topics
✩ Basics
✩ RNN, CNN, GAN
✩ Transformers (GPT, BERT)
⬙ Free Book - Deep Learning (MIT)
deeplearningbook.org
⬗ Free Book - Dive into Deep Learning
d2l.ai
⬘ Free Course [MIT]
introtodeeplearning.com
⬘ Free Course
course.fast.ai
⬖ YouTube - Andrew Ng (at Stanford)
youtube.com/playlist?list=…
⬖ YouTube - CampusX (100 Days of DL)
youtube.com/playlist?list=…
⬖ YouTube - Sebastian Raschka
youtube.com/playlist?list=…
Time: 2 to 3 months
➤ Key Topics
✩ Basics
✩ RNN, CNN, GAN
✩ Transformers (GPT, BERT)
⬙ Free Book - Deep Learning (MIT)
deeplearningbook.org
⬗ Free Book - Dive into Deep Learning
d2l.ai
⬘ Free Course [MIT]
introtodeeplearning.com
⬘ Free Course
course.fast.ai
⬖ YouTube - Andrew Ng (at Stanford)
youtube.com/playlist?list=…
⬖ YouTube - CampusX (100 Days of DL)
youtube.com/playlist?list=…
⬖ YouTube - Sebastian Raschka
youtube.com/playlist?list=…
7
7. Artificial Intelligence
Time: 2 to 3 months
➤ Key Topics
✩ Natural Language Processing
✩ Computer Vision
✩ Generative Models
⬙ Book - Generative Deep Learning (O'Reilly)
google.co.in/books/edition/…
⬗ Free Course - Coursera
coursera.org/specialization…
⬗ Free Course - Elements of AI
elementsofai.com
⬘ YouTube - Stanford (CS224N)
youtube.com/playlist?list=…
⬘ YouTube - Sebastian Raschka
youtube.com/playlist?list=…
Time: 2 to 3 months
➤ Key Topics
✩ Natural Language Processing
✩ Computer Vision
✩ Generative Models
⬙ Book - Generative Deep Learning (O'Reilly)
google.co.in/books/edition/…
⬗ Free Course - Coursera
coursera.org/specialization…
⬗ Free Course - Elements of AI
elementsofai.com
⬘ YouTube - Stanford (CS224N)
youtube.com/playlist?list=…
⬘ YouTube - Sebastian Raschka
youtube.com/playlist?list=…
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8. Practical : Applications and Projects
❯ Build and deploy real world projects
geeksforgeeks.org/machine-learni…
❯ Participate in Kaggle Competitions
❯ Contribute to Open Source
❯ Follow Research Papers (arxiv.org)
❯ Build and deploy real world projects
geeksforgeeks.org/machine-learni…
❯ Participate in Kaggle Competitions
❯ Contribute to Open Source
❯ Follow Research Papers (arxiv.org)
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🏁 Final Words
⬙ Practice consistently
Implement algorithms from scratch
⬗ Learn by doing
Focus on projects and real-world applications
⬘ Stay curious
Explore new tools, libraries, and research
Happy Learning.
⬙ Practice consistently
Implement algorithms from scratch
⬗ Learn by doing
Focus on projects and real-world applications
⬘ Stay curious
Explore new tools, libraries, and research
Happy Learning.