Building Smart Agents with Vertex AI Agent Builder & RAG Training Course

Google Antigravity is an agentic development environment built to create autonomous agents capable of planning, reasoning, coding, and acting via Gemini 3's multimodal capabilities.

This instructor-led live training (available online or onsite) targets advanced technical professionals who want to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be ready to:

• Build autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Develop agents in Antigravity that can analyze tasks, write code, and interact with tools.
• Integrate Gemini-driven agents with enterprise systems and APIs.
• Optimize agent behavior, safety, and reliability in complex environments.

Course Format

• Expert demonstrations combined with interactive discussions.
• Hands-on experimentation with autonomous agent development.
• Practical implementation using Antigravity, Gemini 3, and supporting cloud tools.

Course Customization Options

• If your team requires domain-specific agent behaviors or custom integrations, please contact us to tailor the program.

Google Antigravity is an advanced framework designed for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led training session, available either online or on-site, targets advanced-level professionals seeking to design, analyze, and optimize agents that can retain memories, improve through feedback, and evolve over extended operational periods.

By the end of this course, participants will acquire the ability to:

• Design long-term memory structures to ensure agent persistence.
• Implement effective feedback loops to influence agent behavior.
• Evaluate learning trajectories and assess model drift.
• Integrate memory mechanisms into complex multi-agent ecosystems.

Course Format

• Expert-led discussions combined with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts within simulated agent environments.

Customization Options

• If your organization requires tailored content or case-specific examples, please reach out to us to customize this training.

Mastra is a framework that facilitates deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led, live training (available online or on-site) is designed for intermediate-level engineers who want to build reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem.

Upon completing this training, participants will be able to:

• Implement API-driven integrations between Mastra agents and external services.
• Connect enterprise data systems and tools to automated agent workflows.
• Apply secure data exchange and authentication best practices.
• Design integration layers that are scalable, maintainable, and production-ready.

Format of the Course

• Interactive lecture and discussion.
• Hands-on integration engineering and API exercises.
• Live-lab implementation using real-world enterprise scenarios.

Course Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops are available upon request.

AgentCore equips AI agents with persistent memory, a secure code interpreter, and a browser tool, enabling the delivery of interactive, dynamic, and context-aware experiences.

This instructor-led live training (available online or on-site) is designed for intermediate to advanced technical practitioners who want to design and deploy AI agents capable of retaining long-term context, performing real-time computations, and interacting directly with web interfaces.

Upon completing this training, participants will be able to:

• Implement AgentCore memory to create stateful, context-aware workflows.
• Leverage the secure code interpreter for dynamic calculations and data transformations.
• Integrate the browser tool for real-time data retrieval and user interface interaction.
• Design interactive agents tailored for analytics, customer support, and research scenarios.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focusing on AgentCore memory and tools.
• Case studies covering analytics, automation, and customer support use cases.

Customization Options

• To request a customized training session for this course, please contact us to arrange.

AgentCore Runtime and Gateway form an AWS service pairing designed to streamline the packaging, deployment, and secure exposure of AI agents, enabling seamless integration with external systems.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level engineering teams looking to transition from agent prototypes to production-ready solutions. Participants will master the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completing this training, participants will be equipped to:

• Establish AgentCore Runtime environments and package agents for deployment.
• Expose agents via Gateway using authenticated, rate-limited endpoints.
• Integrate external tools and APIs into agent workflows using stable contracts.
• Implement observability, logging, and usage monitoring for production operations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs covering Runtime deployments and Gateway integrations.
• Practical exercises focused on reliability, security, and rollout strategies.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Antigravity is a development platform designed to build AI-driven, agent-first applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to create real-world applications using autonomous AI agents within the Antigravity environment.

After completing this training, participants will be equipped to:

• Develop applications that rely on autonomous and coordinated AI agents.
• Use the Antigravity IDE, editor, terminal, and browser for end-to-end development.
• Manage multi-agent workflows with the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• Blended presentations with in-depth demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work inside the Antigravity live environment.

Course Customization Options

• For tailored content aligned with your development stack, please contact us to arrange a customized version of this training.

Google Antigravity is an agent-first development environment designed to streamline engineering workflows through intelligent automation.

This instructor-led, live training (online or onsite) is aimed at beginner-level practitioners who wish to explore the fundamentals of Antigravity and understand how agent-driven coding environments enhance productivity.

Upon completion of this training, participants will be able to:

• Install and configure Google Antigravity.
• Navigate and understand both the Editor View and Manager View.
• Work effectively with agents to automate simple development tasks.
• Use Antigravity to generate, refine, and manage project files.

Format of the Course

• Instructor explanations supported by real-time demonstrations.
• Guided exercises focused on hands-on use of agents.
• Practical exploration of core Antigravity features in a controlled lab environment.

Course Customization Options

• If you require a tailored version of this training, please contact us to arrange a customized program.

Google Antigravity is a platform for building agents capable of interacting with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to build, automate, and test browser-based workflows using Google Antigravity.

Upon completion of the training, participants will be able to:

• Create agents that interact with web applications in a browser surface.
• Automate end-to-end workflows across browser contexts.
• Validate and troubleshoot agent behavior in UI-driven environments.
• Implement cross-surface automation strategies using Antigravity.

Format of the Course

• Guided instruction supported by demonstrations.
• Practical, hands-on activities and scenario-based exercises.
• Implementation of agent workflows in an interactive lab environment.

Course Customization Options

• For customized training requirements, please contact us to tailor the course to your objectives.

AgentCore streamlines the creation, enhancement, and monitoring of fully managed AI agents through a unified suite of services designed for scalable deployment.

This instructor-led, live training session (available online or onsite) is tailored for beginner to intermediate practitioners seeking hands-on experience in developing production-ready AI agents using AgentCore.

Upon completing this training, participants will be able to:

• Grasp the core capabilities of AgentCore for AI agent development.
• Design and configure simple AI agents utilizing managed services.
• Integrate workflows to augment agent functionality.
• Deploy and monitor AI agents within production environments.

Course Format

• Interactive lectures and discussions.
• Practical labs featuring AgentCore services.
• Guided exercises covering the entire journey from agent concept to deployment.

Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training (available online or onsite) targets intermediate software developers and engineering teams looking to build scalable, observable AI systems using Mastra.

Upon completing this training, participants will be capable of:

• Grasping Mastra’s architecture and its integration with LLMs and external APIs.
• Designing and implementing AI agents and workflows using TypeScript.
• Utilizing Mastra’s observability and memory tools to monitor and enhance agent performance.
• Deploying production-grade AI applications by leveraging Mastra’s framework capabilities.

Mastra is a framework that offers structured tools designed to evaluate, debug, and ensure the reliability of AI agents functioning within complex workflows.

This instructor-led live training (available online or onsite) targets intermediate-level professionals seeking to rigorously test agent behavior, enhance reliability, and establish measurable evaluation processes.

Upon completion of this training, participants will be able to:

• Apply debugging techniques to identify and resolve issues in agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tools and workflows to monitor reliability, drift, and hallucinations.
• Design QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Practical debugging and evaluation exercises.
• Live-lab analysis of agent behaviors using observability tools.

Customization Options

• Customized reliability testing scenarios and industry-specific QA methods can be arranged upon request.

Mastra is an operational framework designed to streamline the deployment, scaling, and lifecycle management of AI agents in production environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level technical professionals who need to operationalize AI agents reliably and efficiently across production systems.

Upon completion of this training, attendees will be equipped to:

• Deploy Mastra-based AI agents into controlled, production-grade environments.
• Scale agents horizontally and vertically using platform-native primitives.
• Implement observability pipelines to track agent behaviour and performance.
• Optimize runtime configurations to reduce latency, costs, and operational risks.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises focused on real deployment scenarios.
• Live-lab implementation using containerized and orchestrated environments.

Course Customization Options

• Customization of topics, hands-on labs, or industry-specific scenarios is available upon request.

Mastra is a framework designed to facilitate sophisticated workflow automation and coordinate multiple AI agents within distributed systems.

This instructor-led live training, available online or onsite, targets intermediate-level professionals seeking to design, orchestrate, and manage multi-agent workflows at scale.

Upon completion, participants will acquire the skills to:

• Architect complex workflows leveraging Mastra’s orchestration features.
• Coordinate multiple agents executing parallel or dependent tasks.
• Deploy monitoring and debugging tools for effective workflow management.
• Enhance orchestration logic to improve reliability, throughput, and automation efficiency.

Course Format

• Interactive lectures and discussions.
• Practical exercises focused on workflow design and automation.
• Real-world implementation within a containerized live-lab environment.

Customization Options

• Upon request, the course can include customized automation scenarios, enterprise integrations, or specific workflow patterns.

Google Antigravity serves as an agent-centric development platform designed to orchestrate, supervise, and coordinate AI-driven coding and automation workflows.

This instructor-led live training, available both online and onsite, is tailored for intermediate-level professionals aiming to design, manage, and optimize multi-agent workflows within the Google Antigravity environment.

By the end of this training, participants will be equipped with the following skills:

• Configuring agent responsibilities and orchestration pipelines via the Manager interface.
• Creating and interpreting Antigravity artifacts, such as task lists, execution plans, logs, and browser recordings.
• Implementing verification strategies to maintain transparency and auditability of agent actions.
• Optimizing multi-agent collaboration for complex development and operational tasks.

Course Format

• Guided presentations combined with practical demonstrations.
• Scenario-based exercises targeting real-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Customization Options

• For a customized version of this course, please contact us to discuss your specific needs.

Antigravity is a framework that models sophisticated agent-driven development workflows.

This instructor-led live training (available online or onsite) targets intermediate to advanced professionals seeking to verify, validate, and secure the outputs generated by AI agents operating within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Apply structured techniques to verify tasks executed by agents.
• Analyze browser recordings to effectively trace agent activity.
• Implement QA and security principles to ensure the reliability of agent workflows.

Format of the Course

• Instructor-guided technical briefings and discussions.
• Practical exercises focused on verifying real agent workflows.
• Hands-on testing and validation within a controlled lab environment.

Course Customization Options

• Adaptation of scenarios, workflows, and testing examples is available upon request.