This Generative AI Foundation Workshop introduces participants to the core concepts of Artificial Intelligence (AI), Machine Learning (ML), and the evolution of Generative AI. It provides a structured overview of Large Language Models (LLMs) like GPT and BERT, explains prompt engineering basics, tokenization, embeddings, and delves into how GenAI tools function behind the scenes. Hands-on activities using chat-based interfaces and AI playgrounds are included to reinforce learning. Participants will also explore real-world use cases across domains such as content creation, automation, education, and productivity enhancement.

No, a computer science background is not necessary. The workshop is structured to be beginner-friendly and assumes no prior expertise in AI, ML, or programming. It emphasizes conceptual understanding and practical exploration of GenAI tools through interactive exercises and demonstrations. Participants only need basic digital literacy and curiosity to engage meaningfully. The aim is to make AI literacy accessible to all, regardless of technical background, and empower learners with the confidence to explore AI tools in their personal or professional contexts.

Yes. The workshop starts by explaining foundational AI concepts and walks through how Machine Learning and Deep Learning power modern GenAI tools. It demystifies terms like supervised learning, neural networks, and transformers in simple, relatable ways. Rather than diving deep into algorithms or mathematics, it focuses on giving participants an intuitive understanding of how these systems learn, generate responses, and improve. These basics set the stage for understanding how LLMs like GPT work and why they’re transformative across industries.

Yes, a dedicated section of the workshop compares key LLMs like BERT, GPT, T5, and others. It highlights architectural differences (encoder vs. decoder vs. transformer), use cases (classification vs. generation), and performance capabilities. The goal is to help participants understand which model types are best suited for different tasks, such as sentiment analysis, summarization, question-answering, or content generation. These insights are crucial for making informed decisions when selecting GenAI tools or platforms for various business and personal use cases.

Absolutely. The workshop includes guided exercises on crafting and refining prompts for different goals—such as answering questions, rewriting content, or summarizing text. Participants will experiment with structured prompts, zero-shot and few-shot examples, and see how changes in phrasing impact the LLM’s response. The hands-on approach ensures learners gain confidence in communicating effectively with GenAI systems and understand how prompt structure influences outcomes, which is a core skill for working with AI tools productively. 

The workshop showcases diverse applications across domains: writing and editing content, generating images and videos, automating emails, summarizing documents, producing code snippets, assisting in customer service, and even generating music or art. Participants will explore how these applications are being used in marketing, education, legal research, software development, and more. Case studies and tool demos help illustrate the practical value of GenAI, sparking ideas for personal use, team productivity, and strategic implementation in business settings.

Yes, but  the flavour would be accessible and non-technical. Participants will learn what tokens are, how text is broken down for processing, and how embeddings represent the meaning of words numerically in a vector space. These concepts are critical for understanding how LLMs interpret language and make predictions. Through visual explanations and hands-on demos, learners will see how models “understand” context, similarity, and meaning—providing a solid conceptual foundation for anyone looking to go deeper into GenAI later.

This workshop is designed to bridge the gap between technical jargon and everyday relevance. It provides a balanced mix of conceptual learning, tool exposure, and real-world context, making it the perfect on-ramp to AI literacy. For organizations and individuals alike, it fosters an informed mindset toward AI adoption—enabling better conversations, decision-making, and experimentation with AI tools. Whether you’re curious about using AI personally or driving digital transformation, this foundation sets the tone for deeper engagement with confidence.

By providing a shared learning environment with accessible language and hands-on demos, the workshop enables cross-functional teams—technical and non-technical alike—to understand and discuss AI meaningfully. It breaks down barriers to AI adoption by demystifying core concepts and encouraging experimentation. The collaborative setting enhances communication around AI tools and ensures teams are aligned in their understanding of how to apply GenAI effectively in workflows, innovation initiatives, and digital strategies.