FORWARD DEPLOYED ENGINEER MASTERY
Ship Production Enterprise Agents. Google ADK, Gemini Agent Platform, RAG, Voice & AgentOps.
The flagship track for Forward Deployed Engineers, AI Engineers, and Solutions Architects. Go from discovery to delivery on Google ADK and the Gemini Enterprise Agent Platform — advanced RAG and GraphRAG, real-time and voice agents with Gemini Live, AI data engineering, security and governance, and AgentOps — capped by a five-project capstone residency that proves you can build, evaluate, secure, and operate enterprise agents in production.
Google Cloud Premier Partner
From Solution Demos to Production Agent Delivery.
What You'll Build
- 👷
Agentic FDE Delivery
Own delivery end-to-end — discovery, requirements, rollout — when the system acts.
- 🤖
Google ADK Agent Systems
Multi-agent orchestration, tools, sessions, memory on the Gemini Agent Platform.
- 🗄️
AI Data Engineering
Ingestion, chunking, BigQuery vector search, and governed grounding pipelines.
- 🔗
Advanced RAG + GraphRAG
Hybrid retrieval, reranking, agentic RAG, knowledge graphs, RAGAS evaluation.
- 🎙️
Real-Time & Voice Agents
Event-driven architectures and Gemini Live voice with barge-in and guardrails.
- 🛡️
Security & AgentOps
Model Armor, agent identity, evals, SLOs, observability, and cost per task.
Tools You'll Use
What You Will Build
Ten core sections, 15+ labs, and a five-project capstone residency — the full arc of building, evaluating, securing, and operating enterprise agents.
FDE FOUNDATION & ENTERPRISE THINKING
2 HR 10 MINThe FDE role from solution demos to agentic delivery ownership: discovery frameworks, stakeholder mapping, delivery patterns, and enterprise reality — procurement, compliance gates, multi-team politics.
AGENT SYSTEMS ENGINEERING (GOOGLE ADK)
5 HR 10 MINProduction AI engineering on Google ADK: model selection, 3-layer context engineering, multi-agent orchestration, and Gemini Agent Platform primitives — sessions, Memory Bank, registry, gateway, identity, A2A.
AI DATA ENGINEERING
3 HRThe #1 enterprise AI bottleneck: batch and streaming ingestion, document preprocessing and chunking, BigQuery vector search and ML, plus data governance, lineage, and PII redaction before grounding.
ADVANCED RAG + GRAPHRAG + AGENTIC RAG
3 HR 50 MINVertex AI RAG Engine with hybrid retrieval and reranking, agentic and self-correcting RAG, GraphRAG over knowledge graphs, and RAGAS evaluation — context precision, recall, faithfulness, answer relevancy.
REAL-TIME & VOICE AGENTS (GEMINI LIVE)
4 HR 35 MINEvent-driven architectures with Pub/Sub (retries, DLQs, idempotency) and voice agents on Gemini Live — barge-in, VAD, transcription, tools in live sessions, and audio pipeline observability.
SECURITY, GOVERNANCE & AGENTOPS
5 HR 35 MINModel Armor defenses, SPIFFE agent identity and least privilege, gateway policy, immutable logs and DR; plus evaluation-first AgentOps — eval gates, SLOs, drift, observability, and cost per successful task.
DEPLOYMENT, DELIVERY & PM FOR FDEs
3 HR 40 MINServing patterns (Cloud Run vs GKE), multi-region and on-device options, RAG cost optimization at serving, plus product-minded delivery — PRD-lite, success metrics, launch readiness, and rollback plans.
CAPSTONE RESIDENCY — 5 PROJECTS
7 HR 30 MINBuild five production-grade agents — Enterprise RAG Assistant, Real-Time Voice Support, Multi-Agent Ops Platform, Compliance-Grade Agent, and an AgentOps Control Plane — each with code, eval report, guardrails, and a cost dashboard.
Your Instructor
Sezhian Kumarasamy
Principal Solutions Architect
"From drawing board to production, I've spent 20+ years designing solutions that enterprises actually build on, not architectures that look clean in a diagram but fall apart under real load. At RocketOne, I teach you the exact decisions that make the difference between a solution that scales and one that becomes tomorrow's technical debt."
Specialty
Industry practitioners with hands-on delivery experience at SquareShift Technologies, a Google Cloud Premier Partner serving Fortune 500 clients.
What You Need Before Day 1
Required
- Intermediate Python or TypeScript
- Basic Linux and Git
- Basic cloud concepts and a GCP project (free tier OK for most labs)
Not Required
- Prior agent-framework experience
- Production ML background
This is an advanced, residency-style track for FDEs, AI engineers, and solutions architects. Some labs require GCP billing / allowlists / Preview access (clearly labelled in the course).