Data Science with Generative AI

Why should you take Data Science with Generative AI Course?

• Master SQL and Python for data manipulation
• Implement Machine Learning & Deep Learning models
• Apply NLP for real-world text data
• Build AI-powered solutions using GenAI tools
• Create end-to-end data projects & dashboards

Who should take Data Science with Generative AI Course?

• Any graduate or final-year student, working Professional
• Professionals in other job roles wanting to explore career options as a AI Expert
• Business Owners & Entrepreneurs wanting toexplore GenAI
• Students & Freshers planning to start their career

Curriculum

• Data Science combined with Generative AI is transforming the way we analyze data, create models, and generate insights by leveraging advanced machine learning techniques.
• To provide a thorough learning experience, this course is divided into three levels, each focusing on essential components of Data Science and Generative AI:

• Level 1: Foundations of Data Science
• This introductory level covers the basics of data collection, cleaning, and exploratory data analysis. You will also learn key concepts in statistics, data visualization, and the fundamentals of machine learning algorithms.

• Level 2: Introduction to Generative AI
• Here, you will dive into the core concepts of Generative AI, including understanding large language models, transformers, and generative models like GANs and VAEs. You will also explore how to apply these models to real-world datasets.

• Level 3: Advanced Applications and Deployment
• The final level focuses on building end-to-end AI solutions using generative models. Topics include fine-tuning models, integrating AI-generated content in business workflows, ethical considerations, and deploying models in cloud environments.

• Data Science with Generative AI is a cutting-edge field that empowers you to unlock deeper insights and create innovative AI-driven solutions that solve complex problems.

Tools you will learn in Data Science with Generative AI Course?

• SQL
• Python
• Pandas
• NumPy
• Scikit-learn
• TensorFlow/Keras
• Power BI
• OpenAI
• ChatGPT
• APIs