Workshop on Generative AI

Workshop Objectives and Description

This workshop offers a comprehensive journey into the world of Generative AI, blending foundational knowledge with cutting-edge advancements. Participants will begin by exploring core concepts and the historical evolution of generative models, including key architectures like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer-based systems such as GPT and DALL-E. The session will demystify technical aspects like training processes, loss functions, and attention mechanisms, while also addressing practical techniques for fine-tuning pre-trained models to suit industry-specific needs. Ethical considerations take center stage, with discussions on mitigating bias in training data, combating misuse (e.g., deepfakes and misinformation), and adhering to responsible AI frameworks to ensure ethical deployment. Designed for both technical and non-technical audiences, the workshop emphasizes hands-on learning through live demos of tools like ChatGPT and Stable Diffusion, collaborative exercises in prompt engineering, and interactive Q&A sessions with experts. Attendees will uncover real-world applications across sectors, from healthcare and entertainment to marketing and education, while gaining insights into emerging trends like multimodal AI and autonomous agents. Career-focused segments highlight growing roles such as AI ethicists and prompt engineers, alongside guidance for navigating the open-source vs. proprietary tool landscape.

Day 1: Introduction and Fundamentals

Introduction to Generative AI Course Objective: To provide a foundational understanding of Generative AI and its applications.
Target Audience: Everyone
What is Generative AI?
Module 1: Basics of Generative AI History and Evolution of Generative AI
Types of Generative AI Models
Module 2: Introduction to Large Language Models (LLMs) What are LLMs?
Introduction to models like GPT, OpenAI, and LLaMA
Module 3: Modern Applications of Generative AI ChatGPT and its functionalities
New Generative AI tools and their uses
Image generation with Midjourney and other tools

Day 2: Hands-On Learning and Business Applications

Module 4: Hands-on with Generative AI Practical examples and exercises
Creating content with Generative AI
Lab sessions for real-world scenarios
Module 5: Responsible AI and Security Ethical considerations in AI
Ensuring security in Generative AI applications
Generative AI for Business Users Implementing Generative AI in Business
Understanding business use cases for Generative AI
Case studies and real-world examples
Module 6: Prompt Engineering Basics of prompt writing
Effective techniques for generating accurate responses

Day 3: Technical and Industry Applications

Generative AI for IT Teams Technical Overview of AI Models
Understanding different AI models (GPT, OpenAI, LLaMA)
Technical architecture and design principles
Module 7: Developing with Generative AI API integration and development
Building custom AI solutions
Generative AI for Other Business Groups Industry-Specific Applications
Generative AI in finance, healthcare, and retail
Success stories and practical implementations
Module 8: Future Trends in Generative AI Emerging technologies and innovations
Predicting future developments and their impact
Conclusion and Certification Review and summary of the course content
Final assessment and certification