Specialization Overview
Generative AI focuses on systems that can create new content such as text, images, audio, video and structured outputs. This module moves from basic generation to advanced concepts including Large Language Models, multimodal systems, AI agents, retrieval-augmented generation, fine-tuning and model evaluation. Students learn how different forms of AI content can be combined into complete workflows and why generated output must be reviewed for quality, relevance and accuracy.
What You Will Master in This Track
Foundational Principles
Master the underlying algorithms, architectures, and theoretical intuition powering modern artificial intelligence.
Workflow & Agent Modeling
Understand how autonomous agents perceive data, represent domain knowledge, and execute goal-driven decisions.
Practical Real-World Use
Bridge concept with practice through real business case studies, hands-on exercises, and domain workflows.
Responsible & Ethical AI
Mitigate model bias, ensure transparency, and deploy accountable AI solutions that adhere to industry governance.
Course Curriculum & Modules (15)
Select any module below to inspect in-depth syllabus notes, practical focus, and review questions.