How do LLM agents turn plain English into complex action? This talk demystifies their inner loop, tool calls, memory, error handling, and goal pursuit, through a from fundamental deep dive into the mechanics that make real-world agents work. We'll start off which classical RL based agents and use that framework to understand cutting edge current LLM powered agents.

How do LLM agents turn plain English into complex action? This talk demystifies their inner loop, tool calls, memory, error handling, and goal pursuit, through a fundamental deep dive into the mechanics that make real-world agents work. We'll start off with classical RL based agents and use that framework to understand cutting edge current LLM powered agents.

Hands-on bootcamp to build a working QA Agent from scratch. 8 live instructor-led sessions (weekends only) designed to help testers, QAs, and SDETs move beyond theory and actually build their own functional QA Agent from scratch. By the end you’ll know how to design and implement AI-driven QA workflows that assist with bug triage and prioritization, generate and organize test reports automatically, run and manage complex testing workflows, and take over repetitive tasks. Tools covered include LangChain, Streamlit, Postman, Playwright, Memory, Prompting, and Tool Use. Format: 8 live sessions, 3 hours each, instructor-led with real coding and projects.