Building Enterprise AI Agents with Tencent ADP: RAG, Workflows and Operational Guardrails Training Course

Google Antigravity is an advanced development environment created for building autonomous agents that can plan, reason, code, and act using Gemini 3’s multimodal capabilities.

This instructor-led, live training (available online or on-site) is designed for advanced-level 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 well-prepared to:

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

Format of the Course

• Expert demonstrations paired 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 to your needs.

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

This instructor-led, live training (available both online and onsite) is targeted at professionals at the advanced level who are interested in designing, analyzing, and optimizing agents that can retain memories, improve through feedback, and evolve over extended operational periods.

Upon completing this course, participants will acquire the skills to:

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

Format of the Course

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

Course Customization Options

• If your organization requires customized content or case-specific examples, please contact us to tailor this training to your needs.

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

This instructor-led, live training (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 completion of this training, participants will be equipped to:

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

Format of the Course

• Interactive lectures and discussions.
• 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 offers memory persistence, a secure code interpreter, and a browser tool that empower AI agents to provide interactive, dynamic, and context-aware experiences.

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

By the end of this training, participants will be able to:

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on lab exercises with AgentCore memory and tools.
• Case studies in analytics, automation, and customer support scenarios.

Course Customization Options

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

AgentCore Runtime & Gateway is an AWS service designed to package, deploy, and securely expose AI agents with seamless integrations to external systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineering teams who wish to transition from agent prototypes to production by mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

By the end of this training, participants will be able to:

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs focusing on Runtime deployments and Gateway integrations.
• Practical exercises centered on reliability, security, and deployment 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 applications that prioritize the use of autonomous agents.

This instructor-led, live training (available online or on-site) is targeted at intermediate-level developers who aim to create practical applications using autonomous AI agents within the Antigravity environment.

After completing this training, participants will be equipped to:

• Develop applications that leverage autonomous and coordinated AI agents.
• Utilize the Antigravity IDE, editor, terminal, and browser for comprehensive development processes.
• Manage multi-agent workflows using the Agent Manager.
• Integrate agent functionalities into robust software systems.

Format of the Course

• A blend of detailed presentations and demonstrations.
• Extensive hands-on practice and guided exercises.
• Practical implementation work within the live Antigravity environment.

Course Customization Options

• For content tailored to your specific 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 can boost 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 designed for developing agents that can engage with web applications, browser environments, and multi-surface workflows.

This instructor-led, live training (available online or on-site) is tailored for intermediate-level professionals who aim to build, automate, and test browser-based workflows using Google Antigravity.

Upon completing the training, participants will be able to:

• Develop agents that can interact with web applications within a browser environment.
• Automate end-to-end processes across different browser contexts.
• Validate and troubleshoot agent behavior in user interface-driven environments.
• Implement cross-surface automation strategies using Google Antigravity.

Format of the Course

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

Course Customization Options

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

AgentCore streamlines the process of developing, enhancing, and monitoring fully managed AI agents by offering a comprehensive suite of services designed for large-scale deployment.

This instructor-led, live training (available online or on-site) is tailored for practitioners at beginner to intermediate levels who wish to gain practical experience in creating production-ready AI agents using AgentCore.

By the end of this training, participants will be able to:

• Grasp the essential capabilities of AgentCore for AI agent development.
• Design and configure basic AI agents using managed services.
• Integrate workflows to improve agent functionality.
• Deploy and monitor AI agents in production environments.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs with AgentCore services.
• Guided exercises from concept to deployment of AI agents.

Course Customization Options

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level software developers and engineering teams who wish to build scalable, observable AI systems using Mastra.

By the end of this training, participants will be able to:

• Understand Mastra’s architecture and how it integrates with LLMs and external APIs.
• Design and implement AI agents and workflows using TypeScript.
• Use Mastra’s observability and memory tools to monitor and improve agent performance.
• Deploy production-ready AI applications leveraging Mastra’s framework features.

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

This instructor-led, live training—available either online or on-site—is tailored for intermediate-level professionals seeking to rigorously test agent behaviour, enhance reliability, and establish measurable evaluation processes.

By the conclusion of this training, participants will be fully equipped to:

• Utilise debugging techniques to pinpoint and resolve issues affecting agent behaviour.
• Assess agents through structured metrics, benchmarks, and quality scoring systems.
• Deploy tooling and workflows capable of monitoring reliability, detecting drift, and identifying hallucinations.
• Develop QA strategies that guarantee consistent and predictable agent performance.

Course Format

• Interactive lectures combined with discussion sessions.
• Practical, hands-on exercises focused on debugging and evaluation.
• Real-time laboratory analysis of agent behaviours using advanced observability tools.

Customisation Options

• Tailored reliability testing scenarios and industry-specific QA methodologies can be arranged upon request.

Mastra is an operational framework engineered to simplify the deployment, scaling, and lifecycle management of AI agents within production environments.

Delivered as an instructor-led, live training session (available online or on-site), this course is tailored for intermediate to advanced-level technical professionals seeking to operationalise AI agents with reliability and efficiency across production systems.

By the end of this training, participants will be empowered to:

• Deploy AI agents built on Mastra into secure, production-grade environments.
• Scale agents both horizontally and vertically using platform-native primitives.
• Establish observability pipelines to monitor agent behaviour and performance.
• Fine-tune runtime configurations to minimise latency, control costs, and mitigate operational risks.

Course Format

• Interactive lectures accompanied by lively discussions.
• Practical exercises centred on real-world deployment scenarios.
• Live-lab implementation leveraging containerised and orchestrated environments.

Course Customisation Options

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

Mastra is a framework that empowers sophisticated workflow automation and coordination across multiple AI agents within distributed systems.

This instructor-led, live training (available online or on-site) is designed for intermediate-level practitioners seeking to design, orchestrate, and manage multi-agent workflows at scale.

Upon completing this training, participants will acquire the expertise to:

• Architect complex workflows leveraging Mastra's orchestration capabilities.
• Coordinate multiple agents executing parallel or dependent tasks.
• Deploy monitoring and debugging tools to ensure seamless workflow execution.
• Refine orchestration logic to enhance reliability, throughput, and automation efficiency.

Course Format

• Interactive lectures and guided discussions.
• Hands-on exercises in workflow design and automation.
• Practical implementation within a containerized live-lab environment.

Course Customization Options

• Tailored automation scenarios, enterprise integrations, or specific workflow patterns can be arranged upon request.

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 session—available either online or on-site—is tailored for intermediate-level professionals seeking to design, manage, and optimise multi-agent workflows within the Google Antigravity ecosystem.

By the end of this training, participants will have acquired the expertise to:

• Configure agent responsibilities and orchestration pipelines using the Manager interface.
• Generate and interpret Antigravity artifacts, including task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure that agent actions remain transparent and fully auditable.
• Optimise multi-agent collaboration to handle complex development and operational tasks effectively.

Course Format

• Guided presentations complemented by practical demonstrations.
• Scenario-based exercises addressing real-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customisation Options

• Should you require a tailored version of this course, please contact us to discuss available customisation options.

Antigravity is a framework that represents advanced development workflows driven by intelligent agents.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced professionals who want to verify, validate, and secure the outputs generated by AI agents within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by agents.
• Use structured methods to verify tasks executed by agents.
• Analyze browser recordings and trace agent activities effectively.
• Apply quality assurance and security principles to ensure the reliability of agent workflows.

Format of the Course

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

Course Customization Options

• Scenarios, workflows, and testing examples can be adapted upon request.