Agentic AI & Multi-Agent Systems (Masterclass)

Single-prompt LLM applications and basic RAG setups quickly break down when faced with complex, non-linear business workflows. The future of AI utility belongs to Agentic Systems—networks of specialized, autonomous agents that can plan, execute tools, evaluate their own outputs, and collaborate seamlessly.

What this strategic package covers:

1. Agentic System Design: Building robust state machines and workflows using frameworks like LangGraph, moving completely away from rigid, linear chains.
2. Multi-Agent Networks: Coordinating specialized, small-footprint agents (Small Language Models) to minimize latency, reduce API costs, and improve task accuracy.
3. Tool Tooling & Guardrails: Designing secure, deterministic execution environments where agents can call APIs and databases safely without unpredictable side effects.
4. Evaluation & Reliability: Establishing strict guardrails and evaluation loops to track agent drift, step-accuracy, and overall system convergence.

How it works:

1. 60-Minute Call: We will covers basics of Agents and Multi-agent systems along with walkthrough of 1-2 case studies for you to excel in Agent ecosystem.