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Build & Deploy Agentic AI Solutions Agentic AI + Forward Deployed Engineering (FDE) This four-week, hands-on course teaches our four-phase Knowledge Engineering framework — Acquisition, Consolidation, Agentic Consumption, and Learning & Governance — using our zero-code Agentic Sandbox and code-first approaches. Learn to act as a Forward Deployed Engineer (FDE) and take a real-world Agentic AI use case through the lifecycle: Discover → Design → Build → Integrate → Deploy → Adopt → Improve Format: 4 Lectures + 4 Office Hours Support Sessions + Intermediate Certificate 🗓️ Schedule: Tuesdays, 5:30–7:00 PM PST 🛠️ Key Topics ✔ L1 – Knowledge Acquisition: Agent Foundations & Customer Discovery Define agent roles, skills, tools, memory, success criteria, and performance metrics. Practice automated extraction from documents and images. Learn the FDE role and translate customer needs into Agentic AI use cases. ✔ L2 – Knowledge Consolidation: TAG, RAG & Enterprise Integration Build taxonomies and RAG retrieval, resolve entities and conflicting facts, and apply confidence thresholds and business rules. Discover customer data, systems, APIs, and integration requirements. ✔ L3 – Agentic Consumption: Multi-Agent Orchestration & Deployment Configure Web Search, GraphRAG, MCP, A2A, and multi-agent workflows grounded in enterprise knowledge. Move from prototype → integration → deployment. ✔ L4 – Learning & Governance: Production Readiness & Adoption Build guardrails, human-in-the-loop review, auditability, security controls, and performance monitoring. Address production readiness, user adoption, field feedback, and continuous improvement. 🔹 Hands-On Learning: Build real-world Agentic AI applications using low-code and code-first approaches. 🎓 Final Project: Act as an FDE and take a customer use case from discovery through architecture, prototype, evaluation, and deployment planning. 🏆 Earn an Intermediate-Level Agentic AI Certification upon successful completion.
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