CX practitioners designing virtual agents in a modern classroom setting.

GOOGLE GEMINI ENTERPRISE — TRACK 5 / 5

Customer Experience on Gemini Enterprise

COMING SOON

The CX track. Build conversational agents in CX Agent Studio, extend them with webhooks, empower human agents with Agent Assist, mine call-centre metrics with CX Insights, and tune Search for production-grade CX.

1 Day Cohort
7 Modules
6 GE-CX Sub-Paths Covered
Google Cloud Premier Partner Google Cloud Premier Partner

The Workshop

CUSTOMER EXPERIENCE

Customer Experience on Gemini Enterprise

INTERMEDIATE · ONLINE · INSTRUCTOR-LED

Mapped directly to Google's "Gemini Enterprise for Customer Experience" learning path (#3180) and its 6 named sub-paths on Google Skills for Partners. For CX teams, contact-centre orgs, and virtual-agent product owners who want to build, deploy, and operate AI-powered customer interactions end-to-end.

  • Design conversational flows in CX Agent Studio
  • Build multi-agent, multi-modal CX agents (voice, chat, real-time knowledge assist)
  • Extend Conversational Agents with 3rd-party tools and webhooks
  • Optimise, test, deploy, and DR-plan production-ready CX agents
  • Empower human agents in real-time with Agent Assist
  • Mine conversation analytics with CX Insights to drive operational efficiency
  • Tune Search for CX — schema, re-ranking, boost / bury controls

What You Need Before Day 1

Required

  • Laptop with internet access (macOS, Windows, or Linux)
  • Foundations track (recommended) or equivalent Gemini Enterprise familiarity
  • Working familiarity with a CX / contact-centre product (Genesys, Five9, Zendesk, etc.)

Not Required

  • Conversational-AI design experience
  • Programming experience

Bring a real CX scenario from your business — we'll prototype it in CX Agent Studio during the workshop.

THE CURRICULUM

What You Will Build

Seven modules across Google's CX sub-paths (#484, #522, #2306, #523, #521, #3684).

01

CX FOUNDATIONS & ARCHITECTURE

schedule45 MIN

The CX product surface — Conversational Agents + Agent Assist + CX Agent Studio + CX Insights + Search. Where CX fits in the broader Gemini Enterprise stack. Conversational AI vs generative AI — the line and the overlap. Multimodal CX (voice, chat, real-time knowledge).

02

CX AGENT STUDIO FOUNDATIONS

schedule60 MIN

Designing conversational flows. Building multi-agent, multi-modal CX agents. Tooling within CX Agent Studio for designers and builders. Testing strategies before customer rollout. Mapped to partner path #522.

03

CONVERSATIONAL AGENTS — TOOLS & WEBHOOKS

schedule45 MIN

Extending Conversational Agents with 3rd-party tools. Webhook integration patterns. Cross-system orchestration — calling internal APIs from inside an agent. Authentication patterns for outbound calls. Mapped to partner path #2306.

04

PRODUCTION-READY CX AGENTS

schedule60 MIN

Optimisation and load testing. Eval and quality scoring for customer-facing flows. Deployment + disaster recovery strategies. Privacy + data security for customer interactions. Operating security posture for live agents. Mapped to partner path #523.

05

AGENT ASSIST FOR HUMAN AGENTS

schedule45 MIN

Real-time knowledge surfacing during live calls and chats. Suggested responses to ease query resolution. Post-call conversation summarisation. Human-in-the-loop empowerment patterns. Mapped to partner path #521.

06

CX INSIGHTS — CONVERSATION ANALYTICS

schedule45 MIN

Generating metrics for conversation analytics. Call-centre operational efficiency KPIs. Turning conversation data into business decisions. Mapped to partner path #484.

07

SEARCH FOR CX

schedule45 MIN

Schema configuration for CX-specific data. Re-ranking results for customer-facing queries. Boost / bury controls for content visibility. Tuning search from basic deployment to excellent experience. Mapped to partner path #3684.

Your Instructors

Himal Rajan

Himal Rajan

Full Stack & AI Developer

"From React frontends to Python AI backends, I've spent my career building full-stack systems that actually ship, RAG pipelines, autonomous agents, and production APIs that handle real traffic. At RocketOne, I teach you the exact engineering decisions that turn an AI prototype into a system your users can depend on."

Specialty

Full Stack Development (React, Node.js) Python & AI Development RAG Pipelines & Vector Search Autonomous Agents Java & Spring Boot
Prem Kumar

Prem Kumar

AI Architecture Expert

"Anyone can build an AI demo. I teach you how to build the architecture behind systems that scale, because the gap between prototype and production is where most teams get stuck."

Specialty

Data Platform Architecture AI-Enabled Systems Full-Stack Engineering Technical & AI Strategy High-Performance Team Building

Clients: Broadcom, Oracle

Naveen Kumar

Naveen Kumar

AI/ML Engineer

"I've built AI systems across Zoho, Virtusa, and now SquareShift, from machine learning pipelines to generative AI applications. At RocketOne, I teach you the practical skills to build AI-powered solutions that work in the real world, not just in notebooks."

Specialty

Generative AI & LLMs Prompt Engineering Machine Learning Google Cloud ML AI Application Development
CX teams, contact-centre managers, virtual-agent product owners, and support orgs deploying or operating AI agents for customer interactions.
Lightly. Agent Engineering covers the general-purpose ADK stack; this CX track focuses on the conversational, voice-first, multimodal product surface and its analytics layer.
Pre-launch. Click "Talk to Admissions" to register your interest and be notified when seats open.