Generative AI for Data Analytics

What you will learn:

Master the selection of appropriate generative AI tools for diverse data science tasks.

• Apply generative AI prompt techniques to generate, augment datasets, and refine machine learning models.
• Learn about AI Tools
• Investigate real-world examples.
• Participate in hands-on labs and projects to practice generative AI methods

Course Outline:

INTRO:

Introduction and Applications of Generative AI :

• Overview of Generative AI
• History and Evolution of Generative AI
• Capabilities of Generative AI
• Applications of Generative AI

AI TOOLS:

General Generative AI Tools:

• Tools for Text Generation
• Tools for Image Generation
• Tools for Audio and Video Generation
• Tools for Code Generation

Generative AI Tools for Data:

• Demo: Generative AI for Data Generation
• Demo: Generative AI for Data Augmentation
• Demo: Generative AI in Data Preparation
• Demo: Data Cleaning with AI
• Demo: Generative AI for Querying Databases

AI Tool for Data Model Building

• Demo Generative AI for Data Insights
• Demo Generative AI for Data Visualization
• Generative AI Tools for Model Development

LLMs

• Understanding LLMs and Their Training
• Basic Concepts of Agents and Evaluations

PROMPTS

Generative AI Prompt Engineering for Data Scientists :

• Understanding Prompts
• Introduction to Prompt Engineering
• Best Practices for Prompt Creation
• Common Tools for Prompt Engineering

Prompt Engineering Techniques and Approaches : •

• Text-to-Text Prompt Techniques
• Interview Pattern Approach
• Chain of Thought Approach
• Tree of Thought Approach
• Text-to-Image Prompt Techniques
• Prompt Hacks

AI Ethics :

• Responsible Generative AI Considerations
• Implementing Ethical AI Across Various Industries
• Understanding the Limitations of Generative AI
• Addressing Issues and Concerns Related to Generative AI

M ore questions? Contact us