00: Resources
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01: Introduction to the course
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Day-1: Introduction to the course and plans
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Day-2: Python and other Software Installations + Integration
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Day-3: Essentials (GitHub, GitHub student/teacher developer pack, Python and learning)
0/17
Day-4: Python Programming A-Z
0/19
Day-5: Networking and Portfolio for AI or Data Science Students
0/2
Day-6: Git and GitHub | A-Z Guide using only command line | Beginner to Expert
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Day-7: Git, GitHub and VScode use as professionals
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Day-8: Large Language Models (LLMs)
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Day-9: Generative AI (GenAI) and Agentic AI
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Day-10: VScode + GitHub copilot and VIBE coding | Data and Data Components
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Day-11: Data, Data Gathering and Project based Product Development with Trending Topic
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Day-12: Data and Pandas profiling | Exploratory Data Analysis (EDA)
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Day-13: Data Gathering and automatic EDA with Top Libraries
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Day-14: Do EDA in few seconds with these Python Libraries
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Day-15: AI for Vibe Coding
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Day-16: Antigravity and Project with Agentic AI for Kaggle Data Grandmaster Ranking
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