Programme outline
Learning objectives
By the end of the course, participants will:
- Develop a solid understanding of how AI technologies operate across industries, their opportunities, challenges, and responsible adoption strategies.
- Build a clear grasp of the AI ecosystem – ML, DL, Neural Networks, and LLMs and how they work together to power modern GenAI tools.
- Master core Generative AI principles and design solutions that meet organisational needs with ethical and operational relevance.
- Gain hands-on proficiency with key GenAI platforms like ChatGPT, Gemini, Grok, DeepSeek, and GenAI Studio.
- Build practical skills in creating and using AI-generated synthetic media (text, images, audio, summaries) while ensuring accuracy, safety, and proper use.
- Stay updated on GenAI advancements, including agentic systems, multimodal reasoning, workflow orchestration, and enterprise AI ecosystems.
- Strengthen your ability to identify ethical risks, unintended consequences, privacy issues, and compliance needs in sensitive or regulated environments.
Day 1
- Overview of Traditional Artificial Intelligence (AI)
- Understanding AI
- Demystifying Machine Learning
- Deep Learning and Neural Networks
- Types of Machine Learning Models
- Distinguishing Discriminative and Generative Models
- Introduction to Generative AI
- Exploring Transformers
- Understanding Foundation Gen AI Models
- Exploring Types and Features of GenAI (current versions of ChatGPT, Gemini, Grok, Perplexity, DeepSeek, etc.)
- Ethics and Responsibility of Gen AI usage
- Prompt Crafting
Day 2
- Introduction to Large Language Models
- Leveraging the Benefits of LLMs to build workflows
- Types of Application of GenAI
- Importance of Tuning LLMs
- Demo on LLM Development (RAG and Agents)
- Utilizing Generative AI Studio
- Harnessing the Power of Gen AI App Builder
- Online Assessment (1 hour)
Assessment
- Assessment – 20 MCQ (Virtual)
- GSDC Certification Assessment is available after 3 days of course completion