AI Agents Training in Florida

This instructor-led, live training (online or onsite) is designed for advanced-level AI engineers, robotics developers, and automation specialists who aim to utilize DeepSeek for constructing intelligent AI agents and autonomous systems for government. By the end of this training, participants will be able to: - Comprehend the architecture and capabilities of DeepSeek AI models. - Integrate DeepSeek into AI agents to enhance decision-making and automation processes. - Implement reinforcement learning techniques to train autonomous systems effectively. - Deploy AI-driven autonomous agents in practical, real-world scenarios.

Autonomous AI agents are being increasingly integrated into decision-making processes across sectors such as defense, healthcare, finance, and infrastructure. As these systems gain greater independence and autonomy, there is an urgent need for robust ethical frameworks, governance mechanisms, and regulatory oversight to guide their design and deployment. This instructor-led, live training (online or onsite) is designed for advanced-level professionals who wish to explore the ethical, societal, and regulatory implications of deploying autonomous AI agents in real-world environments. By the end of this training, participants will be able to: - Analyze the ethical risks and moral dilemmas posed by autonomous AI agents. - Evaluate governance frameworks and regulatory models relevant to high-stakes AI deployment for government. - Assess accountability, explainability, and transparency mechanisms in autonomous systems. - Develop strategies for aligning AI agent behavior with legal, ethical, and societal values. **Format of the Course** - Interactive lecture and discussion. - Case studies and role-playing simulations. - Hands-on analysis of governance models and ethical frameworks. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

AI-powered automation integrates the adaptability of no-code platforms with the advanced capabilities of large language models and autonomous agents to develop scalable, intelligent systems. This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who aim to design, build, and optimize automation pipelines enhanced with AI-driven decision-making, orchestration, and self-execution features. By the end of this training, participants will be able to: - Design no-code automation workflows augmented by AI interpretation and responses. - Utilize prompt chaining, webhook triggers, and APIs to construct scalable logic flows. - Develop intelligent applications that connect services and autonomously interpret data. - Understand, design, and deploy AI agents capable of goal-oriented action planning and execution. **Format of the Course** - Interactive lecture and discussion - Extensive exercises and practice sessions - Hands-on implementation in a live-lab environment **Course Customization Options for Government** - To request a customized training program tailored to specific government needs, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level AI developers, security specialists, and compliance officers who aim to design and implement secure AI agents while addressing ethical concerns and robustness. By the end of this training, participants will be able to: - Understand the security risks and ethical challenges associated with AI agent development. - Implement security-first design principles in AI models for government. - Apply adversarial robustness techniques to prevent attacks on AI agents. - Ensure compliance with ethical AI guidelines and regulatory standards.

The Edge & Lightweight Agents course is designed to provide practical training in deploying agentic artificial intelligence (AI) workloads on resource-constrained devices. Participants will learn to develop, optimize, and manage lightweight agents capable of performing local reasoning and inference, thereby enhancing speed, privacy, and reliability in distributed environments. The course places a strong emphasis on performance tuning, low-latency design, and the integration of hardware and software. This instructor-led, live training (available both online and onsite) is tailored for intermediate-level professionals who are interested in implementing and optimizing on-device agentic systems using Python and edge AI frameworks. By the end of this training, participants will be able to: - Understand the architecture and challenges associated with running agentic AI on edge devices. - Design lightweight agent loops that are suitable for environments with limited resources. - Implement local inference capabilities using TensorFlow Lite, PyTorch Mobile, and ONNX. - Integrate agents with sensors, actuators, and Internet of Things (IoT) platforms. - Optimize performance, energy consumption, and latency to ensure real-time operation. **Format of the Course** - Interactive lectures and practical demonstrations. - Hands-on development in local or emulated environments. - Project-based learning and guided implementation exercises. **Course Customization Options for Government** To request a customized training program tailored to specific needs and requirements, please contact us to arrange. This option is particularly useful for government agencies looking to align the course content with their unique workflows, governance, and accountability standards.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced AI developers, researchers, and multimedia engineers who aim to build AI agents capable of understanding and generating multi-modal content. By the end of this training, participants will be able to: - Develop AI agents that process and integrate text, image, and speech data. - Implement multi-modal models such as GPT-4 Vision and Whisper ASR. - Optimize multi-modal AI pipelines for efficiency and accuracy. - Deploy multi-modal AI agents in real-world applications, enhancing capabilities for government and other sectors.

This instructor-led, live training (online or onsite) is designed for government agencies and aimed at beginner to intermediate level developers and designers who wish to understand and build AI-powered personal assistants for various use cases. By the end of this training, participants will be able to: - Understand the core principles of AI-powered personal assistants. - Learn the fundamentals of integrating language models with smart assistants. - Build and customize a personal assistant using AI frameworks and tools. - Deploy personal assistants for real-world applications in different sectors, including for government use.

This instructor-led, live training in [location] (online or onsite) is aimed at advanced-level artificial intelligence engineers, enterprise software developers, and business leaders who wish to customize and deploy large language model (LLM)-based AI agents for government and enterprise applications. By the end of this training, participants will be able to: - Understand the architecture and capabilities of open-source LLMs. - Customize and fine-tune LLMs for specific use cases in government and enterprise environments. - Deploy AI agents using LangChain and Hugging Face tools. - Integrate LLM-powered agents into existing business workflows to enhance efficiency and decision-making.

This instructor-led, live training (available online or onsite) is designed for advanced-level robotics engineers, AI researchers, and automation specialists who aim to develop AI-driven autonomous robotic systems for complex tasks and human-AI collaboration. By the end of this training, participants will be able to: - Understand the role of AI agents in robotic decision-making and automation. - Implement AI-driven navigation and obstacle avoidance techniques. - Develop human-AI collaborative robotic systems for government and other sectors. - Deploy AI-powered perception and control systems in robots.

This course delves into the design, coordination, and implementation of multi-agent systems (MAS) using Python. Participants will learn how to develop agents that can communicate, collaborate, and adapt to achieve shared goals in complex, dynamic environments. This instructor-led, live training (online or onsite) is designed for advanced-level professionals who aim to create and implement multi-agent systems for government applications such as intelligent automation, simulation, and decision-making. By the end of this training, participants will be able to: - Understand the architecture and principles of multi-agent systems. - Develop agents capable of communication, coordination, and negotiation. - Implement distributed environments for agent interactions. - Apply reinforcement learning and planning in multi-agent contexts. - Simulate cooperative and competitive agent behaviors. - Design hybrid workflows combining human and intelligent agent interactions. **Format of the Course** - Instructor-led lectures and live demonstrations. - Hands-on exercises using open-source agent frameworks. - Applied group project simulating a multi-agent scenario. **Course Customization Options** - To request a customized training for government, please contact us to arrange.

This instructor-led, live training (available online or onsite) is designed for intermediate-level financial professionals, risk analysts, and artificial intelligence engineers who aim to develop and deploy AI-driven solutions for financial automation and fraud detection. By the end of this training, participants will be able to: - Understand the role of AI in enhancing financial automation and fraud detection. - Construct AI models to identify fraudulent transactions. - Utilize machine learning techniques for real-time risk assessment. - Implement AI-powered financial monitoring systems to improve operational efficiency and compliance for government.

This instructor-led, live training (offered online or onsite) is designed for government agencies and aimed at beginner to intermediate-level customer service professionals, chatbot developers, and automation teams who wish to implement AI-driven solutions for customer support and service automation. By the end of this training, participants will be able to: - Understand the fundamentals of AI-powered customer support. - Develop and integrate AI chatbots for handling customer inquiries. - Utilize natural language processing (NLP) and machine learning to improve chatbot interactions. - Deploy AI agents in real-world customer service applications for government.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate to advanced-level healthcare professionals and artificial intelligence developers who aim to implement AI-driven healthcare solutions for government. By the end of this training, participants will be able to: - Comprehend the role of AI agents in healthcare and diagnostics. - Develop AI models for medical image analysis and predictive diagnostics. - Integrate AI with electronic health records (EHR) and clinical workflows. - Ensure compliance with healthcare regulations and ethical AI practices.

This instructor-led, live training in [location] (online or onsite) is aimed at beginner to intermediate level AI developers and UI/UX designers who wish to learn how to build, optimize, and deploy AI-powered virtual assistants for government use. By the end of this training, participants will be able to: - Design effective conversational AI workflows and user interfaces. - Implement AI-driven natural language processing (NLP) models. - Integrate AI assistants with APIs and third-party platforms. - Deploy and maintain AI assistants for real-world applications in public sector environments.

Mistral AI is a robust suite of open-source and enterprise-ready artificial intelligence models designed for language, multimodal, and agentic applications. This instructor-led, live training (available online or on-site) is tailored for intermediate to advanced professionals who aim to build, deploy, and manage AI agents using Mistral’s Medium 3, Le Chat Enterprise, and Devstral models. By the end of this training, participants will be able to: - Understand the architecture and capabilities of Mistral Medium 3, Le Chat Enterprise, and Devstral. - Design and implement AI agents leveraging Mistral models for enterprise and developer use cases. - Integrate coding systems, connectors, and enterprise data into agent workflows. - Optimize performance, cost, and compliance for Mistral-powered agents. **Format of the Course** - Interactive lecture and discussion - Extensive exercises and practice sessions - Hands-on implementation in a live-lab environment **Course Customization Options for Government** To request a customized training for this course tailored to specific needs, please contact us to arrange.

Python serves as the foundational language driving the development and coordination of autonomous AI agents. This course emphasizes practical implementation using modern SDKs and frameworks such as LangChain and AutoGen to construct, connect, and manage agent workflows. This instructor-led, live training (online or onsite) is designed for intermediate-level backend engineers, platform engineers, and ML engineers who aim to implement and coordinate autonomous agents using Python tooling and APIs. By the end of this training, participants will be able to: - Set up and configure Python-based environments for agentic systems. - Utilize popular agent SDKs like LangChain and AutoGen to develop functional agents. - Integrate tools and APIs to enhance agent capabilities. - Orchestrate multi-agent workflows and communication patterns. - Apply best practices for debugging, testing, and maintaining agentic codebases. **Format of the Course** - Interactive lecture and discussion. - Hands-on programming exercises and live demonstrations. - Practical projects building end-to-end agent workflows. **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.

Google Antigravity is an advanced 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 high-level technical professionals who wish to design, build, and deploy autonomous agents using Gemini 3 and the Antigravity environment for government applications.

Upon completing this training, participants will be prepared to:

• Construct autonomous workflows that leverage 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.
• Enhance agent behavior, safety, and reliability 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 meet your specific needs.

This course provides practical engineering techniques for designing, building, testing, and deploying autonomous systems using Python. It covers key topics such as the agent loop, tool integrations, memory and state management, orchestration patterns, safety controls, and production considerations. This instructor-led, live training (available online or onsite) is designed for intermediate to advanced ML engineers, AI developers, and software engineers who wish to develop robust, production-ready autonomous agents using Python. By the end of this training, participants will be able to: - Design and implement the agent loop and decision-making workflows. - Integrate external tools and APIs to enhance agent capabilities. - Implement short-term and long-term memory architectures for agents. - Coordinate multi-step orchestrations and ensure agent composability. - Apply safety, access control, and observability best practices for deployed agents. **Format of the Course** - Interactive lecture and discussion - Hands-on labs building agents with Python and popular SDKs - Project-based exercises that produce deployable prototypes **Course Customization Options for Government** - To request a customized training tailored to specific needs, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is designed for advanced-level professionals who wish to master the techniques for deploying and managing AI agents in production environments for government. By the end of this training, participants will be able to: - Design and implement scalable AI deployment pipelines. - Utilize tools such as Docker and Kubernetes to containerize and orchestrate AI agents. - Monitor and optimize AI agents in production environments. - Implement continuous integration and continuous deployment (CI/CD) workflows for AI agent deployments. - Ensure compliance with security and data governance requirements.

This instructor-led, live training (online or onsite) is designed for advanced-level AI professionals who aim to master reinforcement learning techniques and apply them for government in training AI agents to solve complex problems. By the end of this training, participants will be able to: - Understand the fundamental principles of reinforcement learning and Markov Decision Processes (MDPs). - Design and implement RL algorithms such as Q-Learning, SARSA, and Deep Q-Networks (DQN). - Utilize frameworks like OpenAI Gym and RL libraries for practical applications. - Train AI agents to address real-world, multi-step decision-making challenges. - Manage issues such as exploration-exploitation trade-offs and convergence in RL training.

This instructor-led, live training (offered online or onsite) is designed for intermediate-level AI developers and automation specialists who aim to integrate agentic capabilities into AI-powered applications for government. By the end of this training, participants will be able to: - Understand the principles of agentic AI and autonomous decision-making. - Implement goal-driven AI agents with self-optimization techniques. - Integrate multi-agent collaboration for complex problem-solving. - Enhance AI-human interaction through adaptive user experiences. - Deploy agentic AI models in real-world applications, ensuring alignment with public sector workflows and governance.

Google Antigravity is an agent-first development environment designed to streamline engineering workflows through intelligent automation for government use.

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 in a public sector context.

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

• Install and configure Google Antigravity for government systems.
• Navigate and understand both the Editor View and Manager View within the platform.
• Work effectively with agents to automate simple development tasks in a government setting.
• Use Antigravity to generate, refine, and manage project files for government projects.

Format of the Course

• Instructor explanations supported by real-time demonstrations tailored to public sector workflows.
• Guided exercises focused on hands-on use of agents in a government context.
• Practical exploration of core Antigravity features in a controlled lab environment that simulates government scenarios.

Course Customization Options

• If you require a tailored version of this training to better align with specific government needs, please contact us to arrange a customized program.

This instructor-led, live training (online or onsite) is aimed at advanced-level artificial intelligence professionals who wish to master the skills necessary to design, build, and deploy multi-agent systems (MAS) that solve complex, real-world problems for government. By the end of this training, participants will be able to: - Understand the principles of multi-agent system architectures. - Implement strategies for communication, coordination, and decision-making within MAS. - Apply game theory to model agent interactions and resolve conflicts. - Leverage frameworks like JADE to create scalable MAS solutions. - Address challenges such as scalability, trust, and emergent behavior in MAS.

The Amazon Bedrock AgentCore platform provides the infrastructure necessary to design, orchestrate, and manage multi-agent systems, facilitating collaboration, specialization, and advanced automation across multiple AI-driven entities.

This instructor-led, live training (available online or onsite) is designed for advanced-level practitioners who aim to design, deploy, and optimize next-generation multi-agent systems using AgentCore’s orchestration and governance features for government applications.

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

• Understand the principles and architectures underlying multi-agent systems.
• Develop effective orchestration strategies for agent collaboration.
• Implement communication and negotiation protocols between agents.
• Deploy scalable, enterprise-ready multi-agent solutions using AgentCore.

Format of the Course

• Interactive lectures and discussions.
• Hands-on labs focusing on AgentCore’s orchestration features.
• Case studies of enterprise-level multi-agent applications.

Course Customization Options

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

This instructor-led, live training (available online or onsite) is designed for advanced-level professionals who seek to develop and optimize multi-agent systems using Agentic AI frameworks. By the end of this training, participants will be able to: - Understand the principles of Agentic AI in multi-agent environments. - Develop AI-driven agents capable of autonomous interaction. - Implement reinforcement learning techniques to enhance adaptive AI behavior. - Optimize collaboration and competition among multiple agents. - Apply Agentic AI solutions in areas such as robotics, gaming, and enterprise automation for government.

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level business analysts, RPA developers, and AI professionals who wish to leverage the capabilities of AI agents for government process automation. By the end of this training, participants will be able to: - Understand the role of AI agents in enhancing process automation within government operations. - Identify opportunities for automation in key public sector domains. - Develop AI-driven solutions for customer support, financial management, and supply chain workflows in government agencies. - Integrate AI agents with existing RPA and business systems used by government entities. - Evaluate and optimize AI automation strategies to improve efficiency and accountability in government services.

Google Antigravity is a platform designed for building agents capable of interacting with web applications, browser environments, and multi-surface workflows for government. This instructor-led, live training (available online or onsite) is aimed at intermediate-level professionals who wish to build, automate, and test browser-based workflows using Google Antigravity for government. Upon completion of the training, participants will be able to: - Create agents that interact with web applications in a browser environment. - Automate end-to-end workflows across various browser contexts. - Validate and troubleshoot agent behavior in UI-driven environments. - Implement cross-surface automation strategies using Antigravity for government. **Format of the Course** - Guided instruction supported by demonstrations. - Practical, hands-on activities and scenario-based exercises. - Implementation of agent workflows in an interactive lab environment. **Course Customization Options** - For customized training requirements, please contact us to tailor the course to your specific objectives for government.

AgentCore simplifies the process of building, enhancing, and monitoring fully managed AI agents by providing a unified suite of services tailored for deployment at scale for government use. This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level practitioners who wish to gain hands-on experience creating production-ready AI agents with AgentCore. By the end of this training, participants will be able to: - Understand the core capabilities of AgentCore for AI agent development. - Design and configure simple AI agents using managed services. - Integrate workflows to enhance agent functionality. - Deploy and monitor AI agents in production environments. **Format of the Course** - Interactive lecture and discussion. - Hands-on labs with AgentCore services. - Guided exercises from agent concept to deployment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

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 designed for intermediate-level practitioners who aim to rigorously test agent behavior, enhance reliability, and implement measurable evaluation processes for government applications. At the conclusion of this training, participants will be able to: - Apply debugging techniques to identify and correct issues in agent behavior. - 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.

Vertex AI Agent Builder is a no-code/low-code environment designed for creating grounded agents that integrate generative models with retrieval-augmented generation (RAG). This enables teams to swiftly develop agents capable of providing accurate and context-aware responses by leveraging enterprise data and search capabilities. This instructor-led, live training (available online or onsite) is tailored for intermediate-level practitioners who aim to design, configure, and deploy intelligent agents using Vertex AI Agent Builder and RAG methodologies. By the end of this training, participants will be able to: - Design grounded agent workflows using Agent Builder. - Implement RAG pipelines incorporating search and vector stores. - Securely integrate enterprise data sources for effective retrieval. - Evaluate and refine agent behavior through testing and performance metrics. **Format of the Course:** - Interactive lectures and discussions. - Hands-on labs utilizing Vertex AI Agent Builder and RAG components. - Project-based exercises to construct and enhance agents. **Course Customization Options:** - To request a customized training for government or other specific needs, please contact us to arrange.

Mastra is a framework designed to facilitate deep integration between artificial intelligence (AI) agents, application programming interfaces (APIs), enterprise applications, and external data systems. This instructor-led training, available both online and onsite, is tailored for intermediate-level engineers who aim to develop reliable, secure, and scalable integrations between Mastra agents and the broader enterprise ecosystem. Upon completion of this training, participants will be prepared 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 production-ready. **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 for government and other public sector organizations.

AgentCore provides memory persistence, a secure code interpreter, and a browser tool that enable AI agents to deliver interactive, dynamic, and context-aware experiences. This instructor-led, live training (online or onsite) is aimed at intermediate to advanced technical practitioners who wish to design and deploy AI agents capable of long-term context retention, on-the-fly computation, and direct interaction with web user interfaces for government applications. 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 use cases in a public sector environment. **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 relevant to government operations. **Course Customization Options** - To request a customized training for this course tailored for government needs, please contact us to arrange.

This instructor-led, live training (available online or onsite) is designed for intermediate-level game developers and AI enthusiasts who aim to effectively integrate AI agents into gaming applications. By the end of this training, participants will be able to: - Understand the role of AI agents in modern gaming. - Develop decision-making systems using decision trees and finite state machines. - Implement pathfinding algorithms such as A* for in-game navigation. - Apply reinforcement learning techniques to create adaptive AI behaviors. - Optimize AI performance for real-time gaming environments, ensuring alignment with public sector workflows and governance standards for government applications.

Large Language Models (LLMs) and autonomous agent frameworks such as AutoGen and CrewAI are transforming how DevOps teams automate tasks like change tracking, test generation, and alert triage by simulating human-like collaboration and decision-making processes.

This instructor-led, live training (available online or onsite) is designed for advanced-level engineers who aim to design and implement DevOps automation workflows powered by LLMs and multi-agent systems for government applications.

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

• Integrate LLM-based agents into CI/CD workflows to enhance smart automation capabilities.
• Automate test generation, commit analysis, and change summaries using these advanced agents.
• Coordinate multiple agents for effective alert triaging, response generation, and DevOps recommendations.
• Build secure and maintainable agent-powered workflows utilizing open-source frameworks.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Antigravity is a framework designed to support 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 generated by AI agents operating within Antigravity-driven environments for government use.

Upon completing this training, participants will be able to:

• Evaluate the accuracy and safety of code artifacts produced by AI agents.
• Employ structured techniques to verify tasks executed by AI agents.
• Effectively analyze browser recordings and trace agent activity.
• Apply quality assurance 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-world agent workflows.
• Hands-on testing and validation within a controlled laboratory environment.

Course Customization Options

• Scenarios, workflows, and testing examples can be tailored to specific needs upon request.

This instructor-led, live training (available online or onsite) is designed for advanced-level professionals who seek to utilize Agentic AI for decision-making in complex business and technical scenarios. By the end of this training, participants will be able to: - Comprehend the principles of autonomous decision-making in artificial intelligence. - Develop and deploy AI agents that function with minimal human oversight. - Incorporate Agentic AI into automation workflows and business systems for government. - Enhance AI-driven decision processes for greater efficiency and scalability. - Address compliance, security, and ethical considerations in AI autonomy.

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

This instructor-led, live training (available online or on-site) is aimed at advanced-level professionals who wish to design, analyze, and optimize agents capable of retaining memories, improving through feedback, and evolving over extended operational periods. The course is particularly relevant for government agencies seeking to enhance their capabilities in this domain.

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 for Government

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

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of the design and development of autonomous agents for practical applications. By the end of this training, participants will be able to: - Comprehend the foundational concepts of autonomous agents. - Examine real-world applications of autonomous AI agents. - Design, train, and implement agents using reinforcement learning techniques. - Integrate these agents into existing systems to enhance automation and decision-making processes. - Address ethical considerations and challenges associated with deploying autonomous agents for government and other public sector workflows.

AgentCore offers built-in identity management, observability, and compliance features that enable organizations to deploy AI agents responsibly in enterprise environments. This instructor-led, live training (online or onsite) is designed for advanced-level practitioners who wish 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 for government. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

Mastra is a framework designed to enable sophisticated workflow automation and coordination across multiple AI agents operating within distributed systems. This instructor-led, live training (available online or onsite) is aimed at intermediate-level practitioners who wish to design, orchestrate, and operate multi-agent workflows at scale for government and other public sector organizations. By completing this training, participants will gain the skills to: - Design complex workflows using Mastra’s advanced orchestration capabilities. - Coordinate multiple agents performing parallel or dependent tasks efficiently. - Implement robust monitoring and debugging tools for workflow execution. - Optimize orchestration logic to enhance reliability, throughput, and automation efficiency. **Format of the Course:** - Interactive lectures and discussions - 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 to better align with specific government workflows and requirements.

AgentCore Runtime & Gateway is an AWS service pairing designed for packaging, deploying, and securely exposing AI agents with streamlined integrations to external systems. This instructor-led, live training (available 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 for government applications. 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 focusing on Runtime deployments and Gateway integrations. - Practical exercises emphasizing reliability, security, and deployment strategies. **Course Customization Options** - To request a customized training for this course tailored to specific needs, please contact us to arrange.

Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity. This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level ML engineers, developer-tooling teams, and SREs who wish to design, implement, and optimize coding agents using Devstral for government applications. By the end of this training, participants will be able to: - Set up and configure Devstral for coding agent development. - Design agentic workflows for codebase exploration and modification. - Integrate coding agents with developer tools and APIs. - Implement best practices for secure and efficient agent deployment in alignment with public sector standards. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Florida (online or onsite) is designed for government professionals at a beginner level who wish to gain an understanding of how AI agents operate and build their own interactive chatbot systems. By the end of this training, participants will be able to: - Comprehend the fundamental principles of AI agents and their various applications. - Examine the core concepts of natural language processing (NLP). - Create a conversational flow for a chatbot tailored to specific needs. - Develop a functional chatbot using Python and associated tools. - Deploy the chatbot to engage with real users, enhancing efficiency and service delivery for government operations.

Mastra is an operational framework designed to streamline the deployment, scaling, and lifecycle management of AI agents in production environments for government and other sectors. 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 behavior 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.

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

This instructor-led, live training (available online or onsite) is targeted at intermediate-level professionals who aim 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 using the Manager interface.
• Generate 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 require a tailored version of this course, please contact us to discuss customization options for government use.

This instructor-led, live training (online or onsite) is designed for government professionals at the beginner level who wish to understand and create simple artificial intelligence (AI) agents for real-world applications. By the end of this training, participants will be able to: - Understand the fundamental concepts of AI agents. - Identify various types of AI agents and their practical applications. - Design and implement basic AI agents for specific tasks. - Explore tools and frameworks for building AI agents for government use.

Antigravity is a development platform designed for building AI-driven, agent-first applications.

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

Upon completing this training, participants will be equipped to:

• Develop applications that rely on 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 capabilities into production-grade software systems.

Format of the Course

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

Course Customization Options

• For tailored content aligned with your specific development stack, please contact us to arrange a customized version of this training for government or organizational needs.

Amazon Bedrock AgentCore is an enterprise-ready framework designed for building, deploying, and scaling AI agents with integrated support for memory management, observability, and secure identity controls. This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced engineers and architects who aim to design, secure, and operate agentic AI systems using AWS Bedrock AgentCore for government applications. By the end of this training, participants will be able to: - Comprehend the architecture and components of AgentCore. - Deploy and manage AI agents using Runtime and Gateway. - Implement persistent memory and stateful interactions. - Apply identity, observability, and compliance controls. - Design multi-agent systems for enterprise-scale workflows. **Format of the Course** - Interactive lecture and discussion. - Hands-on AWS lab sessions with AgentCore. - Practical exercises focused on deployment and monitoring scenarios. **Course Customization Options** - To request a customized training for this course tailored to specific needs, 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 for government. 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. - Utilize Mastra’s observability and memory tools to monitor and enhance agent performance. - Deploy production-ready AI applications leveraging Mastra’s framework features.

This instructor-led, live training (online or onsite) is designed for government professionals at the beginner level who wish to understand and create simple artificial intelligence (AI) agents for real-world applications. By the end of this training, participants will be able to: - Understand the fundamental concepts of AI agents. - Identify various types of AI agents and their applications. - Design and implement basic AI agents for practical tasks. - Explore tools and frameworks for building AI agents. - Investigate different use cases that are suitable for learning AI for government.

This course is designed to provide a practical, hands-on approach to building local AI and LLM-powered applications using LangChain and CrawAI for government. Participants will delve into data analytics, machine learning, and model training techniques before advancing to the development of LLM-based applications. The curriculum covers essential topics such as multi-model AI applications, no/low-code AI development, Retrieval-Augmented Generation (RAG), agentic AI, and AI automation with CrawAI. Attendees will also gain skills in building AI chatbots, AI-powered knowledge bases, and offline/local AI models to ensure privacy and efficiency, all tailored to meet the needs of public sector workflows and governance.