Building Local AI/LLM using Langchain and CrawAI Training Course

Google Antigravity is an agentic development environment designed to build autonomous agents capable of planning, reasoning, coding, and acting through Gemini 3’s multimodal capabilities.

This instructor-led, live training (online or onsite) is aimed at advanced-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment.

Upon finishing this training, participants will be prepared to:

• Build autonomous workflows that use 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.

Format of the Course

• 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 serves as a sophisticated framework for experimenting with long-lived agents and emergent interactive behaviors.

This instructor-led live training (available online or onsite) targets advanced professionals aiming to design, analyze, and optimize agents that can retain memories, improve via feedback, and evolve over extended operational periods.

Upon completing this course, participants will acquire the ability 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 designed to facilitate robust integration between AI agents, APIs, enterprise applications, and external data systems.

This instructor-led live training, available either online or onsite, targets intermediate-level engineers aiming to construct 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 linking Mastra agents with 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.

Course Format

• Interactive lectures and discussions.
• Hands-on exercises in integration engineering and API development.
• Live-lab implementations based on 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 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 session (available online or onsite) targets intermediate to advanced technical practitioners looking to design and deploy AI agents capable of long-term context retention, on-the-fly computation, and direct interaction with web user interfaces.

Upon completion of this training, participants will be equipped 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 use cases.

Course Format

• Interactive lectures and discussions.
• Hands-on lab exercises utilizing AgentCore memory and tools.
• Analysis of case studies covering analytics, automation, and customer support scenarios.

Customization Options

• For customized training tailored to your specific needs, please contact us to arrange.

AgentCore Runtime & Gateway is an AWS service pairing for packaging, deploying, and securely exposing AI agents with streamlined integrations to external systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineering teams who wish to move 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:

• Stand 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.
• Instrument observability, logging, and usage monitoring for production operation.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Runtime deployments and Gateway integrations.
• Practical exercises focused on reliability, security, and rollout.

Course Customization Options

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

Antigravity serves as a specialized development platform for constructing AI-driven, agent-first applications.

This instructor-led, live training session—available both online and on-site—is tailored for intermediate-level developers aiming to build practical applications using autonomous AI agents within the Antigravity ecosystem.

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

• Creating applications that depend on autonomous and synchronized AI agents.
• Utilizing the Antigravity IDE, editor, terminal, and browser for complete end-to-end development.
• Orchestrating multi-agent workflows via the Agent Manager.
• Integrating agent functionalities into production-ready software systems.

Course Format

• A blend of theoretical presentations with detailed live demonstrations.
• Extensive hands-on practice and guided exercises.
• Practical implementation work directly 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 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 for constructing agents designed to interact with web applications, browser environments, and multi-surface workflows.

This instructor-led training, available both online and onsite, is tailored for intermediate professionals aiming to build, automate, and test browser-based workflows using Google Antigravity.

After completing the training, participants will be equipped to:

• Develop agents that engage with web applications within a browser interface.
• Automate comprehensive workflows across various browser contexts.
• Validate and resolve issues related to agent behavior in user interface-driven environments.
• Deploy cross-surface automation strategies leveraging Antigravity.

Course Structure

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

Customization Options

• For specific training needs, please reach out to us to adapt the course to your unique goals.

AgentCore streamlines the creation, enhancement, and oversight of fully managed AI agents by offering a comprehensive suite of services designed for scalable deployment.

This instructor-led live training (available online or on-site) is designed for beginner to intermediate professionals seeking practical experience in building production-grade AI agents using AgentCore.

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

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

Course Format

• Interactive lectures and discussions.
• Hands-on labs featuring AgentCore services.
• Guided exercises taking participants from concept to deployment.

Customization Options

• To arrange a customized training version of this course, please contact us.

This instructor-led live training, available online or onsite, is designed for software developers and engineering teams at an intermediate level who aim to construct scalable and observable AI systems using the Mastra framework.

Upon completing this training, participants will be equipped to:

• Comprehend Mastra’s architecture and its integration mechanisms with Large Language Models (LLMs) and external APIs.
• Architect and code AI agents and workflows using TypeScript.
• Leverage Mastra’s observability and memory capabilities to track and enhance agent performance.
• Deploy production-grade AI applications utilizing the full range of Mastra’s framework features.

Mastra is a framework that provides structured tools for evaluating, debugging, and assuring 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.

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

• 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.

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-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 is a platform centered on agents, designed to orchestrate, supervise, and coordinate AI-driven coding and automation processes.

This instructor-led training, available online or onsite, targets intermediate 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, such as task lists, plans, logs, and browser recordings.
• Implement verification strategies to ensure agent actions are transparent and auditable.
• Optimize collaboration among multiple agents for complex development and operational tasks.

Course Format

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

Customization Options

• For a tailored version of this course, please contact us to discuss customization possibilities.

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.