Vibe coding: Your roadmap to becoming an AI developer 🤖

This article outlines a structured roadmap for transitioning from a novice coder to an AI developer using GitHub’s resources. It emphasizes mastering key programming languages (Python, Java, C++), AI frameworks (TensorFlow, PyTorch), and machine learning concepts (deep learning, NLP, computer vision). Additionally, it highlights the importance of building a GitHub portfolio and earning a GitHub Copilot certification to enhance employability.

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2. Core Technical Concepts & Technologies

• Programming Languages: Python, Java, C++
• AI Frameworks & Libraries: TensorFlow, Keras, PyTorch, Scikit-learn
• Machine Learning Subfields: Deep Learning, NLP, Computer Vision
• GitHub Tools: GitHub Copilot, Learning Lab, OpenCV, NLTK
• Portfolio Development: GitHub Pages, README optimization, open-source contributions

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3. Main Points

• Learn Essential Programming Languages & Frameworks

  • Python dominates AI/ML due to its simplicity and rich libraries.
  • Java and C++ are preferred for scalable and performance-critical applications.
  • TensorFlow, PyTorch, and Scikit-learn are key frameworks for AI development.

• Master Machine Learning

  • Deep learning powers complex tasks like speech recognition and