Automate the Boring Developer Stuff with LLMs

• Leverages LangChain and CrewAI to automate repetitive tasks.
• Covers structured extraction, retrieval-augmented guardrails, routing, and multi-agent orchestration.
• Includes engineer-ready code examples for real-world implementation.

Recent developments in LLMs and LLM orchestration frameworks such as LangChain and CrewAI make it possible to automate a significant portion of repetitive cognitive tasksso that developers can focus on more productive and higher value-driven tasks. This live training distills knowledge of the current state of the art in LLM frameworks through practical examples that demonstrate how to automate rote operational tasks. The training begins with cognitive automation fundamentals such as schema-constrained data parsing, Retrieval Augmented Generation (RAG), summarization, and intent routing for high-volume communications. It then explores agentic crews for research and document parsing, and concludes with expert systems that reason over email workflows.

Each segment highlights the tradeoffs, tooling, and guardrails required to move from prototype to production-ready assistants. By the end of the training, attendees gain a clear understanding of what to automate and how to select the right patterns, tools, and governance models for sustained impact. Leveraging the Gemini API within Vertex AI and the broader GCP ecosystem, developers are positioned to take advantage of the latest advances from one of the leading platforms in this rapidly evolving field.