Agentic AI Training in Virginia

Generative AI and Agentic AI are two powerful paradigms driving the next wave of automation and intelligence in the public sector — one focused on content generation and the other on goal-driven, autonomous behavior.

This instructor-led, live training (online or onsite) is aimed at intermediate-level AI and technical professionals who wish to understand how to build, evaluate, and integrate generative and agentic AI into real-world applications for government.

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

• Understand the architecture and capabilities of generative AI systems for government use.
• Explore the rise of autonomous AI agents and how they extend large language models (LLMs) in public sector applications.
• Use prompt engineering and tool integrations to support practical deployments within governmental workflows.
• Compare models, tools, and techniques for responsible deployment in government environments.

Format of the Course

• Interactive lecture and discussion to enhance understanding of AI applications for government.
• Hands-on use of generative and agentic AI tools in real-world government scenarios.
• Guided exercises focused on content generation and autonomous workflows tailored for public sector needs.

Course Customization Options

• To request a customized training for this course, specifically designed to meet the unique requirements of your government agency, please contact Govtra to arrange.

The Hands-On Agentic AI Bootcamp is an intensive, project-driven course designed to equip participants with practical experience in designing, building, and deploying autonomous AI agents using Python. Through five progressively complex projects, participants will delve into agentic design patterns, prompt workflows, API orchestration, and real-world integration scenarios.

This instructor-led, live training (online or onsite) is tailored for intermediate-level professionals who seek to transition rapidly from theoretical knowledge to practical implementation by developing functional prototypes of agentic AI applications.

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

• Comprehend agentic AI architectures and key design principles.
• Develop, test, and deploy multiple agent-based applications in Python.
• Integrate agents with external tools, APIs, and databases.
• Optimize prompts and workflows for performance and reliability.
• Apply best practices for monitoring, versioning, and scaling agent systems.

Format of the Course

• Interactive lectures and guided coding sessions.
• Hands-on project development and debugging.
• Live demonstration of end-to-end agent deployment.

Course Customization Options for Government

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

The Edge & Lightweight Agents course is designed to provide practical instruction on deploying agentic artificial intelligence (AI) workloads on resource-constrained devices. Participants will learn how to build, optimize, and manage lightweight agents capable of performing local reasoning and inference, which enhances speed, privacy, and reliability in distributed environments. The course emphasizes performance tuning, low-latency design, and hardware-software integration.

This instructor-led, live training (online or onsite) is targeted at intermediate-level professionals who aim to implement and optimize on-device agentic systems using Python and edge AI frameworks for government applications.

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 suitable for environments with limited resources.
• Implement local inference using TensorFlow Lite, PyTorch Mobile, and ONNX.
• Integrate agents with sensors, actuators, and IoT platforms.
• Optimize performance, energy use, and latency for real-time operation in public sector workflows.

Format of the Course

• Interactive lecture and practical demonstrations.
• Hands-on development in local or emulated environments.
• Project-based learning and guided implementation exercises.

Course Customization Options

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

Agentic AI refers to systems that operate autonomously to achieve specific objectives, integrating reasoning, memory, and tool utilization. This course provides a structured introduction to agentic AI concepts, with a focus on prompt engineering, architectural design patterns, and responsible use practices. Participants will gain foundational knowledge for building, guiding, and deploying agents effectively and safely.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to understand how to design, prompt, and manage responsible agentic systems using practical frameworks and examples.

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

• Explain the core principles and lifecycle of agentic AI systems.
• Apply prompt engineering techniques for effective task completion.
• Design simple agent workflows using tool access and decision logic.
• Implement safety, governance, and responsible-use considerations in AI agents.
• Build a prototype agent using open frameworks and Python.

Format of the Course for Government

• Interactive lecture and guided demonstration.
• Hands-on exercises and coding practice.
• Collaborative discussions and case-based activities.

Course Customization Options

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

Agentic AI for Business Automation is a hands-on course designed to teach participants how to design, integrate, and scale AI-driven agents for real-world business processes. The course focuses on identifying automation opportunities, integrating tools, and developing practical use cases across customer service, supply chain, and marketing workflows.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to implement AI-powered automation using no-code, low-code, and Python-based approaches for government.

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

• Identify key areas where agentic AI can drive process efficiency and innovation in public sector operations.
• Map workflows suitable for AI agent integration within government processes.
• Implement automation through APIs and orchestration tools to enhance governmental workflows.
• Integrate AI models into real business scenarios within the public sector with measurable impact.
• Develop governance and monitoring structures for AI-driven operations in government settings.

Format of the Course

• Interactive lectures and practical demonstrations tailored to public sector needs.
• Hands-on exercises and guided projects relevant to government workflows.
• Live implementation in a sandbox automation environment designed for government use.

Course Customization Options

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

This course delves into the design, coordination, and implementation of multi-agent systems (MAS) using Python. Participants will gain expertise in constructing agents that effectively communicate, collaborate, and adapt to achieve shared objectives within complex, dynamic environments.

This instructor-led, live training (online or onsite) is tailored for advanced-level professionals who aim to design and implement multi-agent systems for government applications such as intelligent automation, simulation, and decision-making processes.

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

• Comprehend the architecture and principles underlying multi-agent systems.
• Develop agents capable of communication, coordination, and negotiation in dynamic settings.
• Establish distributed environments for agent interactions and decision-making.
• Apply reinforcement learning and planning techniques in multi-agent contexts.
• Simulate both cooperative and competitive behaviors among agents.
• Design hybrid workflows that integrate human oversight with intelligent agent operations.

Format of the Course

• Instructor-led lectures and live demonstrations.
• Hands-on exercises utilizing open-source agent frameworks.
• Applied group project simulating a multi-agent scenario relevant to government operations.

Course Customization Options

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

This course delves into the principles and implementation of reinforcement learning (RL) and sequential decision-making as they pertain to agentic AI systems. Participants will gain insights into designing, training, and evaluating agents that dynamically interact with their environments to achieve long-term goals through continuous learning and adaptation.

This instructor-led, live training (online or onsite) is designed for advanced-level engineers and researchers who aim to integrate reinforcement learning and planning algorithms into agentic systems for automation, robotics, and adaptive reasoning in the public sector.

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

• Comprehend the mathematical foundations of reinforcement learning and decision-making processes.
• Implement key RL algorithms such as DQN, PPO, and A3C using Python and PyTorch for government applications.
• Develop environments using OpenAI Gym and create custom simulation scenarios tailored to public sector needs.
• Train, evaluate, and debug agents for both continuous and discrete control tasks in governmental contexts.
• Apply reinforcement learning techniques to agentic AI use cases in robotics and planning for government operations.
• Manage the balance between exploration, exploitation, and safety constraints in real-world governmental deployments.

Format of the Course

• Instructor-led lectures and live coding demonstrations to facilitate understanding.
• Hands-on exercises using open-source frameworks and simulation environments to reinforce learning.
• An applied project that integrates decision-making into an agentic AI system for government use.

Course Customization Options

• To request a customized training tailored to the specific needs of your organization, please contact us to arrange.

This course focuses on scaling, operationalizing, and managing agentic AI systems in production environments, with an emphasis on reliability, observability, and cost efficiency.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to build resilient, observable, and cost-optimized pipelines for large-scale agentic systems.

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

• Design scalable architectures for agentic AI workloads.
• Implement observability and monitoring frameworks tailored for agent behavior and interactions.
• Apply performance tuning and resource optimization techniques for long-running agent processes.
• Control costs and prevent “agent sprawl” through policy, orchestration, and automation.
• Integrate MLOps best practices for continuous deployment, versioning, and rollback of agentic services.

Format of the Course

• Hands-on, engineering-focused sessions with live infrastructure examples.
• Interactive discussion of architectural trade-offs and observability challenges.
• Capstone exercise: deploy and monitor a cost-controlled, production-grade agentic system.

Course Customization Options for Government

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

WrenAI enables organizations to advance from static dashboards to conversational analytics and embedded generative business intelligence (BI). This transition necessitates thorough adoption planning, asset migration, and effective change management practices.

This instructor-led, live training (online or onsite) is designed for intermediate-level BI and data platform professionals who aim to modernize legacy BI systems with WrenAI.

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

• Assess legacy BI environments and identify opportunities for modernization.
• Plan and execute migrations from static dashboards to WrenAI.
• Implement conversational analytics and embedded GenBI capabilities.
• Lead organizational change management efforts for BI modernization.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises focused on migration and adoption planning.
• Practical labs for conversational analytics and embedded GenBI.

Course Customization Options

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

This course covers governance, identity management, and adversarial testing for agentic AI systems, focusing on enterprise-safe deployment patterns and practical red-teaming techniques.

This instructor-led, live training (online or onsite) is aimed at advanced-level practitioners who wish to design, secure, and evaluate agent-based AI systems in production environments for government.

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

• Define governance models and policies for safe agentic AI deployments.
• Design non-human identity and authentication flows for agents with least-privilege access.
• Implement access controls, audit trails, and observability tailored to autonomous agents.
• Plan and execute red-team exercises to discover misuses, escalation paths, and data exfiltration risks.
• Mitigate common threats to agentic systems through policy, engineering controls, and monitoring.

Format of the Course

• Interactive lectures and threat-modeling workshops.
• Hands-on labs: identity provisioning, policy enforcement, and adversary simulation.
• Red-team/blue-team exercises and end-of-course assessment.

Course Customization Options

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

Python is the core language driving the development and orchestration of autonomous AI agents. This course focuses on practical implementation using modern SDKs and frameworks such as LangChain and AutoGen to build, connect, and manage agent workflows for government applications.

This instructor-led, live training (online or onsite) is designed for intermediate-level backend engineers, platform engineers, and ML engineers who wish to implement and orchestrate autonomous agents using Python tooling and APIs in a public sector context.

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

• Set up and configure Python-based environments for agentic systems tailored for government use.
• Utilize popular agent SDKs like LangChain and AutoGen to create functional agents for government projects.
• Integrate tools and APIs to enhance the capabilities of agents in public sector workflows.
• Orchestrate multi-agent workflows and communication patterns aligned with government requirements.
• Apply best practices for debugging, testing, and maintaining agentic codebases within a government framework.

Format of the Course

• Interactive lecture and discussion focused on government applications.
• Hands-on programming exercises and live demonstrations relevant to public sector needs.
• Practical projects building end-to-end agent workflows for government initiatives.

Course Customization Options

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

WrenAI equips finance teams with the capability to model key performance indicators (KPIs), integrate standardized metrics, and design dashboards that comply with regulatory requirements and audit standards.

This instructor-led, live training (online or onsite) is designed for intermediate-level to advanced-level finance professionals who seek to leverage WrenAI for constructing compliant financial data models and dashboards that support decision-making and risk management.

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

• Model financial KPIs and metrics using WrenAI.
• Create dashboards that align with regulatory and audit requirements.
• Integrate WrenAI with finance data sources for real-time reporting.
• Implement best practices for financial analytics and risk monitoring.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises involving financial data models.
• Practical labs focused on dashboard design and compliance reporting.

Course Customization Options

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

WrenAI facilitates the generation of SQL queries from natural language and offers AI-powered analytics, enhancing data access speed and intuitiveness. For enterprise-grade use, quality assurance and observability practices are crucial to ensure accuracy, reliability, and compliance.

This instructor-led, live training (online or onsite) is designed for advanced-level data and analytics professionals who seek to evaluate query accuracy, apply prompt tuning, and implement observability practices for monitoring WrenAI in production environments.

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

• Assess the accuracy and reliability of natural language to SQL outputs.
• Implement prompt tuning techniques to enhance performance.
• Track drift and query behavior over time.
• Integrate WrenAI with logging and observability frameworks.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises focusing on evaluation and tuning techniques.
• Practical labs for observability and monitoring integrations.

Course Customization Options

• To request a customized training for government or other specific needs, please contact us to arrange.

Agentic AI is an approach where artificial intelligence systems are designed to plan, reason, and take tool-using actions to achieve specific goals within defined parameters.

This instructor-led, live training (online or onsite) is aimed at intermediate-level healthcare and data teams who wish to design, evaluate, and govern agentic AI solutions for clinical and operational use cases in the public sector.

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

• Explain agentic AI concepts and constraints within healthcare contexts.
• Design safe agent workflows that incorporate planning, memory, and tool usage.
• Develop retrieval-augmented agents using clinical documents and knowledge bases.
• Evaluate, monitor, and govern agent behavior with guardrails and human-in-the-loop controls to ensure compliance and safety for government applications.

Format of the Course

• Interactive lecture and facilitated discussion.
• Guided labs and code walkthroughs in a sandbox environment.
• Scenario-based exercises focusing on safety, evaluation, and governance for government use cases.

Course Customization Options

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

WrenAI is an AI-driven analytics platform designed to integrate data, model insights, and generate dashboards. In enterprise environments, robust governance and security are essential for ensuring safe and compliant adoption.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals in government who wish to implement governance, compliance, and security patterns for WrenAI at scale.

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

• Design and implement permissioning models in WrenAI.
• Apply auditability and monitoring practices for compliance.
• Set up secure environments with enterprise-level controls.
• Roll out WrenAI safely across large organizations, including those for government.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with governance and security configurations.
• Practical exercises simulating enterprise rollout scenarios, including those relevant to government operations.

Course Customization Options

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

This instructor-led, live training in Virginia (online or onsite) is designed for intermediate-level AI developers and automation specialists who seek 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 in public sector contexts.
• Implement goal-driven AI agents with self-optimization techniques for enhanced efficiency and effectiveness.
• Integrate multi-agent collaboration to address complex problem-solving in government workflows.
• Enhance AI-human interaction through adaptive user experiences tailored for government users.
• Deploy agentic AI models in real-world government applications to improve service delivery and operational capabilities.

The WrenAI Spreadsheets and Metrics Library enable rapid reporting through AI-enhanced spreadsheet workflows and a library of pre-built, cross-platform business metrics.

This instructor-led, live training (online or onsite) is designed for beginner to intermediate operations professionals who wish to accelerate their reporting and analysis using WrenAI Spreadsheets and the Metrics Library.

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

• Create AI-powered spreadsheets for data analysis and reporting.
• Utilize the WrenAI Metrics Library for standardized key performance indicators (KPIs).
• Integrate spreadsheets with multiple data sources for real-time updates.
• Develop automated workflows to enhance operational reporting efficiency.

Format of the Course

• Interactive lecture and discussion sessions.
• Hands-on spreadsheet building exercises with WrenAI.
• Practical activities focused on metrics and KPI reporting.

Course Customization Options

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

This instructor-led, live training in Virginia (online or onsite) is designed for advanced-level professionals who seek to develop and optimize multi-agent systems using Agentic AI frameworks for government.

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

• Comprehend the principles of Agentic AI in multi-agent environments.
• Create AI-driven agents that can operate autonomously.
• Implement reinforcement learning techniques to enhance adaptive AI behavior.
• Optimize collaboration and competition among multiple agents.
• Apply Agentic AI in areas such as robotics, gaming, and enterprise automation for government.

The WrenAI API is a robust interface designed for generating SQL queries from natural language, building custom applications, and integrating charts into internal platforms for government use.

This instructor-led, live training (available online or onsite) is targeted at intermediate-level engineers who wish to leverage the WrenAI API for practical applications, including SQL generation, data visualization, and application integration within public sector workflows.

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

• Authenticate and connect government applications to the WrenAI API.
• Generate SQL queries from natural language inputs for enhanced data management.
• Create and embed charts using API endpoints to support data-driven decision-making.
• Integrate WrenAI into backend systems and internal tools to improve operational efficiency for government operations.

Format of the Course

• Interactive lectures and discussions focused on government applications.
• Hands-on exercises involving API calls and integrations tailored for public sector use cases.
• Practical projects connecting apps, charts, and data pipelines to enhance governance and accountability.

Course Customization Options

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

This instructor-led, live training in Virginia (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for government-scale automation and strategic AI adoption.

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

• Understand the role of Agentic AI in enterprise applications for government.
• Integrate autonomous AI agents with government systems.
• Optimize AI-driven workflows for scalability and efficiency in public sector operations.
• Ensure compliance, security, and governance in AI automation for government processes.
• Develop AI-driven business strategies for digital transformation within the public sector.

WrenAI Cloud is a modern platform designed for connecting data sources, modeling data, and creating interactive dashboards for government use.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data professionals who wish to learn how to set up WrenAI Cloud, model data, and visualize insights in dashboards for government applications.

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

• Set up and configure WrenAI Cloud environments for government use.
• Connect WrenAI Cloud to multiple data sources for comprehensive data integration.
• Model data and define relationships for advanced analytics in a government context.
• Create interactive dashboards to provide actionable business insights for government operations.

Format of the Course

• Interactive lecture and discussion tailored for government data professionals.
• Hands-on cloud platform configuration and data modeling exercises relevant to public sector workflows.
• Practical exercises in dashboard building and visualization, aligned with government reporting standards.

Course Customization Options

• To request a customized training for this course tailored to specific government needs, please contact Govtra to arrange.

This instructor-led, live training in Virginia (online or onsite) is aimed at advanced-level professionals who wish to leverage Agentic AI for decision-making in complex business and technical scenarios for government.

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

• Understand the principles of autonomous decision-making in artificial intelligence.
• Design and implement AI agents that operate with minimal human intervention, aligning with public sector workflows.
• Integrate Agentic AI into automation processes and business systems for enhanced governance and accountability.
• Optimize AI-driven decision-making processes for efficiency and scalability in government operations.
• Ensure compliance, security, and ethical considerations in the deployment of autonomous AI solutions.

WrenAI is an open-source generative business intelligence (BI) tool designed to facilitate the conversion of natural language into SQL and support semantic data modeling.

This instructor-led, live training (available online or onsite) is tailored for advanced-level data engineers, analytics engineers, and machine learning engineers who aim to build robust semantic layers, refine prompts, and ensure reliable SQL generation for government applications.

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

• Implement semantic models to maintain consistent metric definitions across teams for government use.
• Optimize text-to-SQL performance to ensure accuracy and scalability in public sector workflows.
• Configure and enforce guardrails to prevent invalid or risky queries, enhancing data governance and accountability for government.
• Integrate WrenAI OSS into data pipelines and analytics workflows for enhanced efficiency and reliability in government operations.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment to ensure practical application for government tasks.

Course Customization Options

• To request a customized training tailored to specific needs, please contact us to arrange.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level AI engineers, ML researchers, and developers who wish to build and implement Agentic AI systems for government applications.

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

• Understand the core principles of Agentic AI systems for government use.
• Implement AI agents capable of autonomous reasoning and action in public sector contexts.
• Integrate Agentic AI with APIs and third-party services to enhance government workflows.
• Optimize multi-agent interactions for complex tasks within government operations.
• Address ethical, security, and scalability challenges in the deployment of Agentic AI for government.

WrenAI enables SaaS providers to integrate generative business intelligence (GenBI) directly into their customer-facing products. This course equips SaaS teams with the skills necessary to incorporate Wren AI through its Embedded API, configure white-label analytics, and manage multi-tenant deployments.

This instructor-led, live training (online or onsite) is designed for intermediate to advanced-level SaaS product leaders, data engineers, and full-stack developers who are looking to deploy WrenAI as an embedded analytics solution in SaaS environments for government.

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

• Integrate WrenAI using the Embedded API for customer-facing applications.
• Implement white-label conversational BI with branding and customization.
• Design secure and scalable multi-tenant deployments.
• Monitor usage, optimize performance, and ensure compliance in SaaS environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs using WrenAI Embedded API.
• Workshop: design and deploy a white-label analytics feature for a SaaS use case.

Course Customization Options

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

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level professionals who wish to understand the fundamental principles of Agentic AI, its capabilities, and its potential impact on industries for government.

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

• Comprehend the core principles of Agentic AI.
• Distinguish between traditional AI and autonomous AI agents.
• Examine real-world applications of Agentic AI across various industries.
• Evaluate the benefits and challenges associated with deploying autonomous AI systems.
• Assess the ethical and security implications of Agentic AI.

WrenAI is a conversational analytics platform that translates natural-language queries into reliable insights, enabling non-technical teams to generate data-driven information quickly and consistently.

This instructor-led, live training (online or onsite) is designed for intermediate-level product managers, analysts, and data champions who wish to adopt conversational analytics and build self-service business intelligence capabilities with WrenAI.

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

• Design conversational analytics workflows that provide reliable insights into product performance.
• Create and maintain a standardized metrics layer for consistent reporting across teams.
• Utilize natural-language to SQL features effectively to address product-related questions.
• Integrate WrenAI-driven self-service dashboards and guardrails into product workflows, enhancing decision-making processes.

Format of the Course

• Interactive lecture and discussion focused on best practices for government analytics.
• Hands-on labs using WrenAI and sample datasets relevant to public sector needs.
• Workshop: build a self-service dashboard and conversational query set tailored for government use cases.

Course Customization Options

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