Course Overview: Enterprise AI Agent Development with CX Agent Studio

Build Code-First Enterprise Agents with CX Agent Studio is an advanced-level, instructor-led course designed for practitioners who want to move from manual  agent configuration toward AI-assisted, code-first enterprise agent development. The course introduces SCRAPI and Antigravity as development tools for interacting with Google Cloud APIs and accelerating agent development workflows. Learners establish a local Python environment, configure the required tools, and explore agent skills and new development practices.
Participants then learn how to plan requirements and build conversational
agents from scratch, work with existing agents, configure CI/CD and deployment workflows, manage application versions, and validate code using SCRAPI. The course places strong emphasis on enterprise agent quality. Learners use SCRAPI to test and verify tools, execute golden evaluations for regression testing, run user simulations, and perform automated quality hill climbing. The course also covers migration workflows for existing Dialogflow CX agents using the SCRAPI CLI and SCRAPI skills, enabling agent development to be integrated into professional SDLC processes from local development through production.

After completing the Enterprise AI Agent course, participants will be able to:

  • Explain the transition from manual agent configuration to code-first enterprise agent development.
  • Understand the role of SCRAPI in interacting with Google Cloud APIs.
  • Set up SCRAPI for local development.
  • Configure Antigravity for AI-assisted agent development.
  • Apply agent skills to accelerate the development workflow.
  • Plan agent requirements before implementation.
  • Build a conversational agent from scratch.
  • Work with an existing agent using code-first development practices.
  • Configure CI/CD and deployment workflows.
  • Manage application versions and deployments.
  • Validate and lint agent code using SCRAPI.
  • Use SCRAPI to test and verify tools.
  • Execute golden evaluations for regression testing.
  • Run user simulations to assess agent behavior.
  • Use SCRAPI evaluation capabilities to analyze agent quality.
  • Apply automated quality hill climbing to iteratively improve agents.
  • Understand the agent migration process.
  • Select an appropriate migration approach for existing agents.
  • Migrate agents using the SCRAPI CLI.
  • Use SCRAPI skills to support agent migration.
  • Integrate code-first agent development into professional SDLC workflows.
  • Establish automated, data-driven testing and quality improvement practices.

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Key Features of Enterprise AI Agent Development with CX Agent Studio

  • Code-First Enterprise Agent Development

  • SCRAPI Developer Kit 

  • Antigravity CLI 

  • Agent Skills and AI-Assisted Development

  • Requirements-Driven Agent Planning 

  • Building Conversational Agents from Scratch

  • Existing Agent Development 

  • CI/CD and Deployment 

  • Application Version Management 

  • Automated Agent Testing and Evaluation 

  • Quality Hill Climbing and Regression Testing 

  • Dialogflow CX Agent Migration 

     

Who should Attend Enterprise AI Agent Development?

  • Software Developers and Engineers
  • AI/ML Engineers
  • Conversational AI Developers
  • Cloud Engineers
  • Platform Engineers
  • DevOps Engineers
  • Technical Architects
  • Solutions Architects
  • Automation Specialists
  • Dialogflow CX Developers
  • Professionals building enterprise conversational agents
  • Professionals responsible for agent testing, deployment, and migration

Prerequisites of Enterprise AI Agent Development Certification

• Familiarity with Google Cloud Platform. • Familiarity with Python development is recommended. • Understanding of conversational agents is beneficial. • Familiarity with Dialogflow CX is beneficial for learners working with existing agents. • Experience with software development and SDLC practices is recommended. • Familiarity with CI/CD concepts is beneficial. • Basic understanding of APIs and cloud-based application development is recommended.

Why choose CloudThat as your training partner?

  • Specialized Google Cloud and Generative AI Expertise  CloudThat specializes in Google Cloud, Generative AI, conversational AI, and enterprise agent technologies, delivering focused training programs aligned with real-world development and deployment requirements. 

  • Industry-Recognized Trainers 

    Our trainers are certified Google Cloud professionals with expertise in AI agents, Dialogflow CX, Antigravity, developer workflows, CI/CD, cloud architecture, and enterprise AI solutions. 

  • Hands-On Learning Approach 

    CloudThat emphasizes practical learning through code-first agent development, SCRAPI exercises, Antigravity workflows, automated evaluations, migration scenarios, CI/CD configuration, and deployment activities.

  • Customized Learning Paths 

    Training programs are designed for developers, AI engineers, cloud engineers, architects, automation specialists, and professionals transitioning from conversational agent configuration to code-first development. 

  • Interactive Learning Experience 

    Sessions include demonstrations, guided development exercises, coding workflows, evaluation scenarios, migration activities, troubleshooting, and knowledge checks. 

  • Continuous Learning and Updates 

    Course content is continuously updated to align with advancements in enterprise agent development, SCRAPI, Antigravity, conversational AI, agent evaluation, and Google Cloud development workflows.

Learning Objective of Learning Objective of Course

  • This course enables learners to develop enterprise conversational agents using a code-first approach with SCRAPI and the Antigravity CLI. Learners will develop the ability to establish a local development environment, translate requirements into agent implementations, build agents from scratch, work with existing agents, and integrate agent development into CI/CD and professional SDLC workflows.  Learners will also develop skills for testing and evaluating agents using golden evaluations, user simulations, and automated quality hill climbing. The course further enables learners to migrate existing Dialogflow CX agents using SCRAPI CLI and SCRAPI skills. 

Course Outline: Enterprise AI Agents Course Download Course Outline

  • Course introduction, module overview, and learning objectives
  • Introduction to SCRAPI and how it interacts with Google Cloud APIs
  • Setting up SCRAPI for local development
  • Setting up Antigravity for AI-assisted development
  • Preparing a local Python-based environment for enterprise agent development

Guided setup:

  • SCRAPI and Antigravity.

Demo:

  • SCRAPI and development environment walkthrough.

  • Agent skills and the new development habit
  • The shift toward AI-assisted development practices
  • Applying agent skills during the development lifecycle
  • Planning and requirements: translating business requirements into agent requirements

Demo:

  • Agent skills, with a discussion on new development habits.

Guided exercise:

  • Requirements planning and scenario-based agent planning.

  • Building an agent from scratch using code-first development
  • Working with an existing agent and extending its capabilities
  • Setting up CI/CD and deployment workflows for agent applications
  • Managing application versions and deployments
  • Linting and validating code with SCRAPI

Hands-on Lab:

  • Vibe Code CX Agents with SCRAPI and the Antigravity CLI

Demo:

  • CI/CD configuration, deployment, version management, and SCRAPI linting

  • The role of automated evaluation in enterprise agent development
  • Quality hill climbing in SCRAPI
  • Testing and verifying agent tools
  • Executing golden evaluations for regression testing
  • Running user simulations to assess agent behavior
  • Mastering evals with SCRAPI and analyzing results to identify areas for improvement
  • Executing automated hill climbing to iteratively improve agent performance

Hands-on Lab:

  • Evaluate CX Agents with SCRAPI.

Demo:

  • Golden evaluations, user simulations, and automated hill climbing.

  • The agent migration process flow and its stages
  • Deciding on a migration process and selecting an appropriate approach
  • Migrating agents using the SCRAPI CLI
  • Migrating agents using SCRAPI skills
  • Transitioning existing Dialogflow CX agents into code-first development workflows

Scenario:

  • Select a migration approach

Demo:

  • SCRAPI CLI migration and migration using SCRAPI skills, with review and quiz.

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Course ID: 31266

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