This course provides comprehensive training on Full Stack Data Science and Artificial Intelligence. Students will learn end-to-end skills from data collection and analysis to building, deploying, and maintaining AI-powered applications using modern tools and frameworks.

Motive

1. Master the full stack of Data Science and Artificial Intelligence. 2. Learn data analysis, machine learning, deep learning, and generative AI techniques. 3. Build end-to-end AI-powered applications and deploy them in production. 4. Gain expertise in Python, data visualization, and MLOps practices. 5. Prepare for real-world Data Science and AI roles through hands-on projects.

Prerequisites

1. Basic knowledge of Python programming. 2. Understanding of fundamental mathematics (statistics, linear algebra). 3. Basic knowledge of any programming language is beneficial. 4. Familiarity with Jupyter Notebook or VS Code. 5. No prior Data Science or AI experience required.

Course Content

Full Stack Data Science & AI

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