This session will provide an overview of agentic workflows and how AI agents operate within them.

It will cover the fundamentals of autonomous decision-making, the differences between traditional automation and AI-driven agents, and how agents collaborate to accomplish complex tasks.

A deep dive into the core concepts of Artificial Intelligence and Machine Learning, focusing on their roles in building intelligent agents.

The session will also introduce Large Language Models (LLMs), explaining their architecture, how they process and generate text, and their applications in automation.

Key topics will include supervised and unsupervised learning, model training, and fine-tuning techniqu