Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Master AI agent orchestration patterns for managing complex multi-agent workflows. Learn coordination strategies, state management, and fault tolerance for production systems.
Build an AI agent that handles the complete order support lifecycle — from tracking shipments and processing returns to managing exchanges and order modifications — reducing support ticket volume significantly.
Build an AI agent for municipal parks and recreation departments that handles program catalog search, class registration, facility reservations, and seasonal event information for community members.
Learn a structured methodology for penetration testing AI agent systems, including attack surface mapping, prompt injection testing, tool exploitation, privilege escalation, and comprehensive security assessment reporting.
Build an AI agent that helps employees write self-assessments, managers track team goals, and organizations collect 360 feedback — transforming performance reviews from a dreaded chore into a streamlined process.
Build an AI agent that walks citizens through permit application processes, generates document checklists, calculates fees, and provides real-time status updates on submitted applications.
Build an AI agent for pest control companies that identifies pest types, creates targeted treatment plans, schedules inspections, and manages recurring service agreements with automated follow-up.
Build an AI agent for photography studios that guides clients through package selection, schedules sessions with location coordination, and manages gallery delivery — turning inquiries into booked sessions.
Build an AI agent that classifies plumbing emergencies, dispatches technicians with smart routing, estimates pricing, and handles follow-up scheduling for plumbing service companies.
