Build Agentic Solutions (Instructor-Led)

Build Agentic Solutions: Generative AI Mastery: Build Intelligent Orchestrators This four-week course teaches the same four-phase Knowledge Engineering framework covered in this guide — Acquisition, Consolidation, Agentic Consumption, and Learning & Governance — through hands-on work in our zero-code Agentic Sandbox. You'll build production-style agents that combine structured business taxonomies (TAG), unstructured document retrieval (RAG), internal templates, and real feedback loops. Format: 4 Lectures + 4 Office Hours Support Sessions + Intermediate Certificate 🗓️ Schedule: Tuesdays 5:30 - 7:00 PM PST 🛠️ Key Topics: ✔L1: Aug 18: Knowledge Acquisition: Agent Foundations & Automated Extraction Define agent roles, skills, tools, success criteria, performance metrics, and memory. Practice automated schema extraction from documents and images — the same functional building blocks shown below. ✔ L2: Aug 25: Knowledge Consolidation: Taxonomies, RAG & Entity Resolution Build TAG taxonomies and RAG retrieval inside the sandbox, set entity-resolution and confidence thresholds, and enforce business rules that resolve conflicting facts before they ever reach the agent. ✔ L3: Sept 1: Agentic Consumption: Multi-Agent Orchestration Configure Web Search, GraphRAG, MCP, and A2A tool access, and build multi-agent workflows that query grounded enterprise knowledge together to synthesize one answer. ✔ L4: Sept 8: Learning & Governance: Refinement & Compliance Turn real user interactions into agent improvements. Build guardrails, human-in-the-loop review queues, audit logs, and data-security controls, and monitor performance, memory, and response accuracy. 🔹 Hands-On Learning – Build real-world AI applications using both low-code and code-first approaches. 🎓 Earn an Intermediate-Level Agentic AI Certification upon successful completion of final project. 🔧 NOTE Lectures cover zero-code concepts; coded agent development takes place during office hours.