🐍 Core Programming Foundation

1. Python Proficiency - Master variables, loops, functions, classes, and essential libraries (NumPy, Pandas, Matplotlib)
2. SQL Basics - Query databases effectively with SELECT, WHERE, GROUP BY, and JOINs
3. Data Analysis - Clean, manipulate, and visualize data to extract meaningful insights

🤖 AI/ML Foundation

1. Machine Learning Concepts - Understand supervised/unsupervised learning, algorithms, and model evaluation
2. Deep Learning Basics - Grasp neural networks, common architectures, and training processes
3. Research Paper Reading - Ability to understand and summarize AI research papers

🛠 Technical Tools & Platforms

1. Google Colab Mastery - Run notebooks, manage GPU/TPU, collaborate, and integrate with GitHub
2. Version Control (Git/GitHub) - Clone, commit, push, pull, merge, and collaborate on code repositories
3. Hugging Face Ecosystem - Navigate Model Hub, use pipelines, datasets, and deploy models

🚀 Deployment & Web Development

1. Web Development Basics - HTML/CSS/JavaScript fundamentals for creating interactive interfaces
2. Streamlit Applications - Build and deploy interactive ML web apps with user-friendly interfaces
3. API Integration - Understand REST APIs, JSON, and how to connect services

📊 Research & Communication

1. Technical Writing - Document code, write research papers, and create clear technical explanations
2. Presentation Skills - Present technical concepts to both technical and non-technical audiences
3. User Research - Conduct interviews, gather feedback, and iterate based on user needs