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Epython Lab@epythonlab P.1959
EPYTHONLAB Telegram 1959
๐Ÿš€ How to Become a Self-Taught AI Developer?

AI is transforming the world, and the best part? You donโ€™t need a formal degree to break into the field! With the right roadmap and hands-on practice, anyone can become an AI developer. Hereโ€™s how you can do it:

1๏ธโƒฃ Master the Fundamentals of Programming

Start with Python, as itโ€™s the most popular language for AI. Learn data structures, algorithms, and object-oriented programming (OOP). Practice coding on LeetCode and HackerRank.

๐Ÿ‘‰How to get started Python: https://www.youtube.com/watch?v=EGdhnSEWKok
How to Create & Use Python Virtual Environments | ML Project Setup + GitHub Actions CI/CD https://youtu.be/qYYYgS-ou7Q

๐Ÿ‘‰Beginner's Guide to Python Programming. Getting started now: https://youtu.be/ISv6XIl1hn0

๐Ÿ‘‰Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok

๐Ÿ‘‰OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw

2๏ธโƒฃ Build a Strong Math Foundation

AI relies on:
๐Ÿ”น Linear Algebra โ€“ Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls
๐Ÿ”น Probability & Statistics โ€“ Bayesian reasoning, distributions https://youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI&si=tAz0B3yoATAjE8Fx
๐Ÿ”น Calculus โ€“ Derivatives, gradients (used in optimization)

๐Ÿ“š Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare.

3๏ธโƒฃ Learn Machine Learning (ML)

Start with traditional ML before deep learning:
โœ” Supervised Learning โ€“ Linear regression, decision trees https://youtube.com/playlist?list=PL0nX4ZoMtjYGV8Ff_s2FtADIPfwlHst8B&si=buC-eP3AZkIjzI_N
โœ” Unsupervised Learning โ€“ Clustering, PCA
โœ” Reinforcement Learning โ€“ Q-learning, deep Q-networks

๐Ÿ”— Best course? Andrew Ngโ€™s ML Course on Coursera.

4๏ธโƒฃ Dive into Deep Learning

Once comfortable with ML, explore:
โšก Neural Networks (ANNs, CNNs, RNNs, Transformers)
โšก TensorFlow & PyTorch (Industry-standard deep learning frameworks)
โšก Computer Vision & NLP

Try Fast.ai or the Deep Learning Specialization by Andrew Ng.

5๏ธโƒฃ Build Real-World Projects

The best way to learn AI? DO AI. ๐Ÿš€
๐Ÿ’ก Train models with Kaggle datasets
๐Ÿ’ก Build a chatbot, image classifier, or recommendation system
๐Ÿ’ก Contribute to open-source AI projects

6๏ธโƒฃ Stay Updated & Join the AI Community

AI evolves fast! Stay ahead by:
๐Ÿ”น Following Google AI, OpenAI, DeepMind
๐Ÿ”น Engaging in Reddit r/MachineLearning, LinkedIn AI discussions
๐Ÿ”น Attending AI conferences like NeurIPS & ICML

7๏ธโƒฃ Create a Portfolio & Apply for AI Roles

๐Ÿ“Œ Publish projects on GitHub
๐Ÿ“Œ Share insights on Medium/Towards Data Science
๐Ÿ“Œ Network on LinkedIn & Kaggle

No CS degree? No problem! AI is about curiosity, consistency, and hands-on experience. Start now, keep learning, and letโ€™s build the future with AI. ๐Ÿš€

Tagging AI learners & enthusiasts: Whatโ€™s your AI learning journey like? Letโ€™s connect!. ๐Ÿ”ฅ๐Ÿ‘‡

#AI #MachineLearning #DeepLearning #Python #ArtificialIntelligence #SelfTaught



tgoop.com/epythonlab/1959
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๐Ÿš€ How to Become a Self-Taught AI Developer?

AI is transforming the world, and the best part? You donโ€™t need a formal degree to break into the field! With the right roadmap and hands-on practice, anyone can become an AI developer. Hereโ€™s how you can do it:

1๏ธโƒฃ Master the Fundamentals of Programming

Start with Python, as itโ€™s the most popular language for AI. Learn data structures, algorithms, and object-oriented programming (OOP). Practice coding on LeetCode and HackerRank.

๐Ÿ‘‰How to get started Python: https://www.youtube.com/watch?v=EGdhnSEWKok
How to Create & Use Python Virtual Environments | ML Project Setup + GitHub Actions CI/CD https://youtu.be/qYYYgS-ou7Q

๐Ÿ‘‰Beginner's Guide to Python Programming. Getting started now: https://youtu.be/ISv6XIl1hn0

๐Ÿ‘‰Data Structures with Projects full tutorial for beginners
https://www.youtube.com/watch?v=lbdKQI8Jsok

๐Ÿ‘‰OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw

2๏ธโƒฃ Build a Strong Math Foundation

AI relies on:
๐Ÿ”น Linear Algebra โ€“ Matrices, vectors (used in deep learning) https://youtu.be/BNa2s6OtWls
๐Ÿ”น Probability & Statistics โ€“ Bayesian reasoning, distributions https://youtube.com/playlist?list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI&si=tAz0B3yoATAjE8Fx
๐Ÿ”น Calculus โ€“ Derivatives, gradients (used in optimization)

๐Ÿ“š Learn from 3Blue1Brown, Khan Academy, or MIT OpenCourseWare.

3๏ธโƒฃ Learn Machine Learning (ML)

Start with traditional ML before deep learning:
โœ” Supervised Learning โ€“ Linear regression, decision trees https://youtube.com/playlist?list=PL0nX4ZoMtjYGV8Ff_s2FtADIPfwlHst8B&si=buC-eP3AZkIjzI_N
โœ” Unsupervised Learning โ€“ Clustering, PCA
โœ” Reinforcement Learning โ€“ Q-learning, deep Q-networks

๐Ÿ”— Best course? Andrew Ngโ€™s ML Course on Coursera.

4๏ธโƒฃ Dive into Deep Learning

Once comfortable with ML, explore:
โšก Neural Networks (ANNs, CNNs, RNNs, Transformers)
โšก TensorFlow & PyTorch (Industry-standard deep learning frameworks)
โšก Computer Vision & NLP

Try Fast.ai or the Deep Learning Specialization by Andrew Ng.

5๏ธโƒฃ Build Real-World Projects

The best way to learn AI? DO AI. ๐Ÿš€
๐Ÿ’ก Train models with Kaggle datasets
๐Ÿ’ก Build a chatbot, image classifier, or recommendation system
๐Ÿ’ก Contribute to open-source AI projects

6๏ธโƒฃ Stay Updated & Join the AI Community

AI evolves fast! Stay ahead by:
๐Ÿ”น Following Google AI, OpenAI, DeepMind
๐Ÿ”น Engaging in Reddit r/MachineLearning, LinkedIn AI discussions
๐Ÿ”น Attending AI conferences like NeurIPS & ICML

7๏ธโƒฃ Create a Portfolio & Apply for AI Roles

๐Ÿ“Œ Publish projects on GitHub
๐Ÿ“Œ Share insights on Medium/Towards Data Science
๐Ÿ“Œ Network on LinkedIn & Kaggle

No CS degree? No problem! AI is about curiosity, consistency, and hands-on experience. Start now, keep learning, and letโ€™s build the future with AI. ๐Ÿš€

Tagging AI learners & enthusiasts: Whatโ€™s your AI learning journey like? Letโ€™s connect!. ๐Ÿ”ฅ๐Ÿ‘‡

#AI #MachineLearning #DeepLearning #Python #ArtificialIntelligence #SelfTaught

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