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

Google Antigravity serves as an agentic development environment tailored for constructing autonomous agents capable of planning, reasoning, coding, and executing tasks via Gemini 3’s multimodal capabilities.

This instructor-led live training, available in online or onsite formats, targets advanced technical professionals keen on designing, building, and deploying autonomous agents leveraging Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

• Construct autonomous workflows that harness Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity that can analyse tasks, generate code, and interact with tools.
• Seamlessly integrate Gemini-driven agents with enterprise systems and APIs.
• Enhance agent behaviour, safety, and reliability in complex operational environments.

Format of the Course

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

Course Customization Options

• Should your team require domain-specific agent behaviours or custom integrations, please reach out to us to tailor the program.

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

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over long operational horizons.

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

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

Format of the Course

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

Course Customization Options

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

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

This instructor-led live training, available both online and onsite, is designed for intermediate-level engineers aiming to build reliable, secure, and scalable integrations between Mastra agents and the wider enterprise ecosystem.

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

• Implement API-driven integrations connecting Mastra agents with external services.
• Link 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.

Course Format

• 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 empowers AI agents to deliver interactive, dynamic, and context-aware experiences through memory persistence, a secure code interpreter, and integrated browser tools.

This live, instructor-led training—available online or on-site—is designed for intermediate to advanced technical professionals seeking to architect and deploy AI agents that retain long-term context, perform on-the-fly computations, and interact directly with web interfaces.

Upon completing this training, participants will be equipped to:

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

Course Format

• Engaging lectures and collaborative discussions.
• Practical lab exercises focusing on AgentCore memory and tools.
• Case studies exploring analytics, automation, and customer support scenarios.

Customization Options

• Contact us to discuss and arrange a customized training program for this course.

AgentCore Runtime and Gateway is an AWS service combination designed for packaging, deploying, and securely exposing AI agents, facilitating streamlined integrations with external systems.

This instructor-led live training (available online or onsite) targets intermediate-level engineering teams aiming to transition from agent prototypes to production environments. Participants will master the AgentCore Runtime for deployment processes and the Gateway for secure connectivity and API integration.

Upon completion of this training, participants will be capable of:

• Setting up AgentCore Runtime environments and packaging agents for deployment.
• Exposing agents via Gateway using authenticated, rate-limited endpoints.
• Integrating external tools and APIs into agent workflows through stable contracts.
• Implementing observability, logging, and usage monitoring for production operations.

Course Format

• Interactive lectures and discussions.
• Hands-on labs focusing on Runtime deployments and Gateway integrations.
• Practical exercises centred on reliability, security, and release management.

Course Customization Options

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

Antigravity serves as a specialized development platform engineered for creating AI-driven, agent-centric applications.

This instructor-led, live training, available both online and on-site, targets intermediate-level developers aiming to develop practical applications using autonomous AI agents within the Antigravity ecosystem.

Upon completion of this training, participants will be capable of:

• Developing applications that leverage autonomous and coordinated AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Orchestrating multi-agent workflows via the Agent Manager.
• Embedding agent functionalities into robust, production-grade software systems.

Course Format

• A blend of presentations with in-depth technical demonstrations.
• Ample hands-on practice coupled with guided exercises.
• Real-world implementation tasks within the live Antigravity environment.

Customization Options for the Course

• For content tailored to align with your specific development stack, please reach out to us to organize a customized version of this training.

Google Antigravity is an agent-centric development platform engineered to optimize engineering processes through smart automation.

Delivered by expert instructors in a live online or onsite setting, this course is tailored for entry-level professionals eager to delve into the core principles of Antigravity and discover how agent-based coding environments boost efficiency.

By the end of this training, you will be equipped to:

• Set up and configure Google Antigravity.
• Navigate and comprehend both the Editor View and Manager View interfaces.
• Leverage agents to automate routine development tasks effectively.
• Utilize Antigravity to create, polish, and oversee project files.

Course Structure

• Expert-led explanations complemented by live demonstrations.
• Hands-on guided exercises emphasizing practical agent usage.
• Applied exploration of key Antigravity functionalities within a structured lab setting.

Customization Options

• If you need a bespoke training experience, reach out to us to design a customized program.

Google Antigravity is a robust platform designed for creating agents that can interact with web applications, browser environments, and complex multi-surface workflows.

This instructor-led training, available either online or onsite, is tailored for intermediate-level professionals aiming to develop, automate, and test browser-centric workflows using Google Antigravity.

By the end of this program, participants will be equipped to:

• Develop agents capable of engaging with web applications within a browser surface.
• Streamline end-to-end workflows across various browser contexts.
• Verify and troubleshoot agent behavior in UI-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Format

• Interactive instruction complemented by live demonstrations.
• Hands-on practical activities and scenario-based exercises.
• Implementation of agent workflows within an interactive lab setting.

Customization Options

• To tailor the course to your specific business objectives, please reach out to us for customized training solutions.

AgentCore streamlines the development, refinement, and oversight of fully managed AI agents by offering a cohesive suite of services optimized for large-scale deployments.

This live, instructor-led training session, available either online or on-site, is designed for practitioners ranging from beginners to intermediates seeking hands-on proficiency in building production-grade AI agents using AgentCore.

Upon completing this program, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore for AI agent development.
• Architect and configure basic AI agents leveraging managed services.
• Integrate workflows to augment agent functionality.
• Deploy and monitor AI agents within production environments.

Training Format

• Engaging lectures and interactive discussions.
• Practical labs utilizing AgentCore services.
• Structured exercises guiding you from agent concept to final deployment.

Customization Options

• To explore tailored training options for this curriculum, please reach out to us to make arrangements.

This live, instructor-led session, conducted either online or onsite, is designed for intermediate-level developers and engineering teams aiming to build robust, observable AI systems with Mastra.

By the conclusion of this training, participants will possess the ability to:

• Grasp Mastra's underlying architecture and its interoperability with LLMs and third-party APIs.
• Structure and code AI agents and workflows in TypeScript.
• Utilize Mastra's monitoring and memory tools to track and optimize agent behaviour.
• Release production-ready AI solutions by effectively applying Mastra's framework capabilities.

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

This instructor-led live training (available online or onsite) is designed for intermediate-level practitioners who want to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes.

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

• Apply debugging techniques to identify and resolve issues with agent behavior.
• Evaluate agents using structured metrics, benchmarks, and quality scores.
• Implement tooling and workflows to track reliability, drift, and hallucinations.
• Design QA strategies to ensure consistent and predictable agent performance.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in debugging and evaluation.
• 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 serves as an operational framework designed to streamline the deployment, scaling, and lifecycle management of AI agents within production environments.

This instructor-led live training, available online or onsite, targets intermediate to advanced technical professionals who require the skills to reliably and efficiently operationalize AI agents across their production systems.

Upon completing this training, participants will be able to:

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

Course Format

• Interactive lectures and discussions.
• Hands-on exercises centered around real-world deployment scenarios.
• Live-lab implementation using containerized and orchestrated environments.

Customization Options

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

Mastra is a framework designed to facilitate advanced workflow automation and coordination among 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 completing this training, participants will acquire the ability to:

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

Course Format

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

Customization Options

• Custom automation scenarios, enterprise integrations, or workflow patterns can be tailored upon request.

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

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to design, manage, and optimize multi-agent workflows within Google Antigravity.

Upon completion of this training, participants will gain the skills to:

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

Format of the Course

• Guided presentations and practical demonstrations.
• Scenario-based exercises focused on real workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

• If you require a tailored version of this course, please contact us to discuss customization options.

Antigravity is a framework that represents advanced agent-driven development workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to verify, validate, and secure the output produced by AI agents working within Antigravity-driven environments.

Upon completing this training, participants will be able to:

• Assess the accuracy and safety of agent-generated code artifacts.
• Use structured techniques to verify agent-executed tasks.
• Analyze browser recordings and trace agent activity effectively.
• Apply 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.