Introduction to Generative AI

This program provides participants with a practical introduction to Generative AI and its growing impact across industries. Participants will explore how modern AI systems generate text, images, audio, and other forms of content while understanding the opportunities, limitations, and real-world applications of AI technologies. The session focuses on practical understanding, business applications, and methods for improving productivity, creativity, and decision-making using AI-powered tools.

Foundations of Generative AI

What is Generative AI and how it works

Evolution of AI and modern AI technologies

Difference between traditional AI and Generative AI

Understanding large language models and AI systems

Key AI terminologies and concepts

Applications of Generative AI

AI applications across industries

Content generation for business operations

AI for communication and customer engagement

Image, video, and audio generation use cases

Real-world examples and case studies

Prompt Engineering Fundamentals

Introduction to prompting techniques

Writing effective AI prompts

Structuring prompts for better outputs

Improving response quality using context

Common prompting mistakes and best practices

Productivity Enhancement with AI

Using AI for daily workplace productivity

AI-assisted document and content creation

Summarizing and analyzing information faster

Brainstorming ideas using AI tools

Automating repetitive knowledge tasks

Responsible & Ethical AI Usage

Understanding AI limitations and risks

Bias, misinformation, and hallucinations in AI

Data privacy and security considerations

Ethical use of AI in organizations

Human oversight and responsible AI practices

Future of Generative AI

Emerging AI trends and innovations

The future of work with AI integration

Opportunities for businesses and professionals

AI adoption strategies for organizations

Preparing for an AI-driven future