Building Local AI/LLM using Langchain and CrawAI Training Course

Google Antigravity is a sophisticated development environment designed for creating autonomous agents that can plan, reason, code, and act using Gemini 3’s advanced multimodal capabilities.

This instructor-led, live training (available both online and onsite) is targeted at advanced-level technical professionals who are interested in designing, building, and deploying autonomous agents with the help of Gemini 3 and the Antigravity environment.

Upon completing this training, participants will be equipped to:

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

Format of the Course

• Expert-led demonstrations paired with interactive discussions.
• Hands-on experience in developing autonomous agents.
• Practical implementation using Antigravity, Gemini 3, and associated cloud tools.

Course Customization Options

• If your team needs specific agent behaviors or custom integrations for a particular domain, please contact us to customize the program accordingly.

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

This instructor-led, live training (available both online and onsite) is targeted at advanced-level professionals who aim to design, analyze, and optimize agents that can retain memories, improve through feedback, and evolve over extended operational periods.

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

• Develop long-term memory structures for agent persistence.
• Implement effective feedback mechanisms to influence agent behavior.
• Assess learning trajectories and model drift.
• Integrate memory systems into complex multi-agent environments.

Format of the Course

• Expert-led discussions combined with technical demonstrations.
• Hands-on exploration through structured design challenges.
• Application of concepts in 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 (available online or onsite) 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 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 can be arranged upon request.

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

This instructor-led, live training (available online or onsite) is targeted at intermediate-level engineering teams who are looking 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 package agents for deployment.
• Expose agents through Gateway with authenticated, 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 with Runtime deployments and Gateway integrations.
• Practical exercises focused on reliability, security, and deployment.

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 utilize autonomous and coordinated AI agents.
• Use the Antigravity IDE, editor, terminal, and browser for comprehensive development processes.
• Manage multi-agent workflows using the Agent Manager.
• Integrate agent capabilities into production-grade software systems.

Format of the Course

• A combination of presentations with detailed demonstrations.
• Extensive hands-on practice and guided exercises.
• Real implementation work within the Antigravity live 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 advanced development environment that prioritizes the use of agents to automate and simplify engineering workflows.

This instructor-led, live training (available online or on-site) is designed for beginners who want to gain a foundational understanding of Antigravity and learn how agent-driven coding environments can boost productivity.

Upon completing this training, participants will be able to:

• Install and configure Google Antigravity effectively.
• Navigate and comprehend both the Editor View and Manager View with ease.
• Collaborate efficiently with agents to automate routine development tasks.
• Utilize Antigravity to create, refine, and manage project files seamlessly.

Format of the Course

• Instructor-led explanations complemented by real-time demonstrations.
• Guided exercises focusing on practical use of agents.
• Hands-on exploration of core Antigravity features in a controlled lab setting.

Course Customization Options

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

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

This instructor-led, live training (available online or on-site) is targeted at intermediate-level professionals who are interested in building, automating, and testing browser-based workflows using Google Antigravity.

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

• Develop agents that can engage with web applications within a browser environment.
• Automate comprehensive workflows across various 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.

Amazon Bedrock AgentCore is an enterprise-grade framework designed for building, deploying, and scaling AI agents. It offers integrated support for memory management, observability, and secure identity controls.

This instructor-led, live training (available both online and onsite) is tailored for intermediate to advanced engineers and architects who aim to design, secure, and operate sophisticated agentic AI systems using AWS Bedrock AgentCore.

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

• Comprehend the architecture and key components of AgentCore.
• Deploy and manage AI agents using Runtime and Gateway.
• Implement persistent memory and stateful interactions for enhanced user experiences.
• Apply robust identity, observability, and compliance measures.
• Design multi-agent systems to support large-scale enterprise workflows.

Format of the Course

• Interactive lectures and discussions.
• Hands-on lab sessions with AWS using AgentCore.
• Practical exercises focusing on deployment and monitoring scenarios.

Course Customization Options

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

AgentCore offers built-in identity management, observability, and compliance features that enable organizations to deploy AI agents responsibly in enterprise settings.

This instructor-led, live training (online or onsite) is designed for advanced-level practitioners who want to design and operate secure, auditable, and compliant AI agent systems using Amazon Bedrock AgentCore.

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

• Implement enterprise identity and permissioning models for agents.
• Enable observability through structured logging, metrics, and tracing.
• Apply compliance controls to align with regulatory frameworks.
• Audit agent activity and maintain secure session-level controls.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with AWS security and monitoring tools.
• Case studies in regulated enterprise environments.

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 offers structured tools for evaluating, debugging, and ensuring the reliability of AI agents across complex workflows.

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

By the end 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 tooling and workflows that monitor reliability, drift, and hallucinations.
• Design QA strategies to ensure consistent and predictable agent performance.

Format of the Course

• 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 to advanced technical professionals who need to operationalize AI agents reliably and efficiently across production systems.

Upon completing 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 features.
• Implement observability pipelines to monitor agent behavior and performance.
• Optimize runtime configurations to minimize latency, costs, and operational risks.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises focused on real-world 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 advanced workflow automation and coordination among multiple AI agents operating within distributed systems.

This instructor-led, live training (available both online and onsite) is designed for intermediate-level practitioners who wish to design, orchestrate, and manage multi-agent workflows on a large scale.

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

• Design intricate 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 to enhance 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 is 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 on-site) is targeted at intermediate-level professionals who want to design, manage, and optimize multi-agent workflows within Google Antigravity.

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

• Set up agent responsibilities and orchestration pipelines using the Manager interface.
• Create and interpret Antigravity artifacts such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure that agent actions are 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-world workflow challenges.
• Hands-on experimentation within a live Antigravity workspace.

Course Customization Options

• If you need a customized version of this course, please contact us to discuss your specific requirements.

Antigravity is a framework that embodies advanced, agent-driven development processes.

This instructor-led, live training (available online or on-site) is designed for intermediate to advanced professionals who aim to verify, validate, and secure the output generated by AI agents operating within Antigravity environments.

Upon completing this training, participants will be able to:

• Evaluate the precision and safety of code artifacts produced by agents.
• Employ structured methods to verify tasks executed by agents.
• Analyze browser recordings and trace agent activities 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 actual agent workflows.
• Hands-on testing and validation in a controlled lab setting.

Course Customization Options

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