This program for beginners is designed to help learners understand how modern AI systems create text, images, code, and other content. The program explains the core concepts behind generative models, including neural networks, transformers, large language models, diffusion models, and probabilistic learning.
You will explore how generative AI works under the hood, how large language models are trained, and how prompting techniques influence outputs. By the end of the course, participants gain a clear, practical understanding of generative AI technologies and how they are applied across business, software development, content creation, and automation.
Prerequisites
- Basic Computer Knowledge
- Fundamentals of Programming (Preferably Python)
- Basic Mathematics (Probability and Linear Algebra)
- Introductory AI and Machine Learning Concepts
- Logical Reasoning Skills
What You Will Learn
- Foundations of Artificial Intelligence and Machine Learning
- Core Concepts of Generative AI
- Large Language Models and Prompt Engineering
- Platforms, Applications, and Responsible AI
