LLM Agents Explained: From ChatGPT to Autonomous Workflows
This masterclass demystifies the rapidly evolving world of AI agents — systems powered by large language models that can plan, reason, take actions, and automate complex workflows. You will learn how modern agent architectures extend beyond simple prompts, enabling tools to interact with data sources, APIs, spreadsheets, and business systems.
Through real examples and demonstrations, we explore how these agents make decisions, coordinate multi-step tasks, and enhance productivity across technical and non-technical roles.
Learning Outcomes
- Understand core agent concepts: Learn how LLM agents differ from standard chat models and how they use tools, memory, and planning to complete tasks
- Explore real use cases: See practical examples in analytics, coding, reporting, document processing, and operations.
- Break down agent architectures: Understand components such as planners, executors, toolkits, and feedback loops — and how they work together.
- Assess opportunities & risks: Learn when agents add real value, where they struggle, and how to apply them safely and effectively in a business setting.
Target Audience
This masterclass is ideal for anyone curious about how AI agents can streamline work — including analysts, developers, operations teams, and business stakeholders. No prior AI or machine-learning experience is required; the session focuses on clear explanations and practical demonstrations.

