AI Agents for Financial Services and Fraud Detection Training Course

Google Antigravity serves as an agentic development environment crafted for constructing autonomous agents that leverage Gemini 3's multimodal capabilities to plan, reason, code, and execute actions.

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

Upon completing this course, participants will be equipped to:

• Construct autonomous workflows that utilize Gemini 3 for reasoning, planning, and execution.
• Develop agents within Antigravity capable of analyzing tasks, writing code, and interacting with tools.
• Integrate Gemini-driven agents into enterprise systems and APIs.
• Enhance agent behavior, safety, and reliability within complex environments.

Course Format

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

Customization Options

• For teams requiring domain-specific agent behaviors or custom integrations, please contact us to tailor the program.

Google Antigravity serves as 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 professionals seeking to design, analyze, and optimize agents that retain memories, enhance performance through feedback, and evolve over extended operational periods.

Upon completion of this course, participants will acquire the following competencies:

• Constructing long-term memory structures to ensure agent persistence.
• Implementing effective feedback loops to guide agent behavior.
• Evaluating learning trajectories and monitoring model drift.
• Integrating memory mechanisms within complex multi-agent ecosystems.

Course Format

• Expert-led discussions complemented by technical demonstrations.
• Practical exploration through structured design challenges.
• Application of concepts to simulated agent environments.

Customization Options

• Organizations requiring tailored content or case-specific examples should contact us to customize this training.

Mastra serves as a robust framework facilitating deep integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led live training, available online or onsite, targets intermediate-level engineers looking to build reliable, secure, and scalable integrations connecting Mastra agents with the wider enterprise ecosystem.

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

• Execute API-driven integrations linking 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 environments.

Course Format

• Interactive lectures and discussions.
• Practical integration engineering and API exercises.
• Live-lab implementation utilizing real-world enterprise scenarios.

Course Customization Options

• Custom API scenarios, enterprise system mappings, or data-integration workshops can be arranged upon request.

AgentCore empowers AI agents to deliver interactive, dynamic, and context-aware experiences through persistent memory, a secure code interpreter, and a dedicated browser tool.

This live, instructor-led training (available online or onsite) is designed for intermediate to advanced technical professionals looking to design and deploy AI agents with long-term context retention, real-time computational capabilities, and direct engagement with web interfaces.

Upon completion, 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 acquisition and UI interaction.
• Design interactive agents for specific use cases in analytics, customer support, and research.

Course Format

• Interactive lectures paired with guided discussions.
• Practical lab exercises focused on AgentCore memory and associated tools.
• Case studies covering analytics, automation, and customer support scenarios.

Course Customization Options

• Contact us to arrange a customized training experience tailored to your specific needs.

AgentCore Runtime & Gateway constitutes a paired AWS service designed to facilitate the packaging, deployment, and secure exposure of AI agents, featuring streamlined integration capabilities with external systems.

This instructor-led live training, available in online or onsite formats, is tailored for intermediate-level engineering teams aiming to transition from agent prototypes to production environments. The curriculum focuses on mastering the AgentCore Runtime for deployment and the Gateway for secure connectivity and API integration.

Upon completion of 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 through stable contracts.
• Implement observability, logging, and usage monitoring to support production operations.

Format of the Course

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

Course Customization Options

• To request 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 serves as a platform designed for constructing agents that can interact with web applications, browser environments, and multi-surface workflows.

This instructor-led training (available online or onsite) 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:

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

Course Format

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

Customization Options

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

AgentCore streamlines the creation, refinement, and oversight of fully managed AI agents by offering a cohesive suite of services designed for large-scale deployment.

Targeted at professionals ranging from beginners to intermediates, this instructor-led live session—available online or on-site—provides a hands-on approach to developing production-ready AI agents using AgentCore.

Upon completing the training, participants will be equipped to:

• Grasp the fundamental capabilities of AgentCore for AI agent development.
• Architect and set up basic AI agents utilizing managed services.
• Incorporate workflows to bolster agent functionality.
• Release and oversee AI agents within production environments.

Course Structure

• Interactive lectures and open discussions.
• Practical labs focused on AgentCore services.
• Supervised exercises covering the journey from concept to deployment.

Tailored Course Options

• For organizations seeking a customized training experience, please reach out to us to coordinate the arrangements.

This live, instructor-led training—available either online or onsite—is tailored for intermediate-level software developers and engineering teams looking to construct scalable and observable AI systems with Mastra.

Upon completing this course, participants will be equipped to:

• Grasp Mastra’s architecture and its integration capabilities with LLMs and external APIs.
• Architect and develop AI agents and workflows using TypeScript.
• Leverage Mastra’s observability and memory features to oversee and enhance agent performance.
• Ship production-ready AI applications by utilizing the robust features of the Mastra framework.

Mastra is a framework that provides structured tools for evaluating, debugging, and ensuring the reliability of AI agents operating across complex workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who wish to rigorously test agent behavior, improve reliability, and implement measurable evaluation processes.

At the end of this training, participants will confidently:

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

Course Format

• Interactive lecture and discussion.
• Hands-on debugging and evaluation exercises.
• Live-lab analysis of agent behaviors using observability tools.

Course 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 that enables sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level practitioners who want to design, orchestrate, and operate multi-agent workflows at scale.

By completing this training, participants will gain the skills to:

• Design complex workflows using Mastra’s orchestration capabilities.
• Coordinate multiple agents performing parallel or dependent tasks.
• Implement monitoring and debugging tools for workflow execution.
• Optimize orchestration logic for reliability, throughput, and automation efficiency.

Format of the Course

• Interactive lecture and discussion.
• Hands-on workflow design and automation exercises.
• Practical implementation in a containerized live-lab environment.

Course Customization Options

• Customized automation scenarios, enterprise integrations, or workflow patterns can be provided 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 (available online or onsite) targets intermediate-level professionals seeking to design, manage, and optimize multi-agent workflows within the Google Antigravity ecosystem.

Upon completing this training, participants will acquire the skills 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 agent actions remain transparent and auditable.
• Optimize collaboration among multiple agents for complex development and operational tasks.

Course Format

• Guided presentations and practical demonstrations.
• Scenario-based exercises focused on real-world 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.