Build a Deep Research Agent with Systems thinking Approach

Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Measuring and evaluating AI model performance, quality, and reliability for production use cases.

Designing and optimizing the context window for LLM applications — prompt structure, memory, and information retrieval.

Model Context Protocol — building tool integrations and server connections for AI agents.

Building deep research agents you can trust in production, by mastering the system around the model with systems first thinking.