Artificial Intelligence (AI) Training in Virginia

This instructor-led, live training (online or onsite) is designed for government content creators, entrepreneurs, and technology enthusiasts at beginner to intermediate levels who seek to leverage the power of AI for innovative media production and business growth. By the end of this training, participants will be able to: - Generate realistic voice clones for a variety of applications. - Use DeepFake technology to manipulate video content for creative or educational purposes. - Implement ethical AI practices in content creation. - Utilize AI tools to enhance both business and creative projects. - Gain expertise in advanced AI media technologies.

This instructor-led, live training (online or onsite) is designed for intermediate-level IT professionals who wish to learn how to effectively leverage AWS tools and services to build, train, and deploy artificial intelligence models. By the end of this training, participants will be able to: - Understand the AI/ML services provided by AWS. - Set up and manage AI/ML environments on AWS. - Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker. - Learn to utilize various AWS AI services for specific use cases, ensuring alignment with public sector workflows and governance standards for government.

Artificial intelligence (AI) tools can significantly enhance the productivity and accuracy of legal professionals by streamlining tasks such as contract review, legal research, and drafting of legal documents. This instructor-led, live training (online or onsite) is designed for government and aimed at beginner-level to intermediate-level legal professionals who wish to apply AI tools to simplify, accelerate, and enhance their day-to-day legal work. By the end of this training, participants will be able to: - Use AI tools to review contracts for risky or missing clauses. - Generate first drafts of legal documents using generative AI assistants. - Automate legal research and efficiently summarize case law. - Organize tasks, deadlines, and legal files with the support of AI-based tools. **Format of the Course** - Interactive lecture and discussion. - Hands-on practice with real-world legal examples. - Demonstration and guided use of AI tools in legal workflows. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

AI tools are revolutionizing productivity and creativity across various sectors, including communication, design, and audiovisual production. This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who wish to leverage AI tools to streamline content creation, automate workflows, and enhance creative output in their daily work. By the end of this training, participants will be able to: - Use ChatGPT and other large language models (LLMs) to write, summarize, ideate, and automate tasks using effective prompt techniques. - Apply Google AI Ultra (Gemini) features within Docs, Sheets, and Gmail to enhance productivity. - Create AI-generated images and videos using tools suitable for professional use. - Incorporate Microsoft Copilot within Office 365 for more efficient document, spreadsheet, and email workflows. - Understand and apply ethical AI usage practices, including cybersecurity considerations. - Explore real-world use cases in communication, design, and audiovisual production using AI tools. - Evaluate and experiment with free AI tools relevant to modern workplaces. **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 government, please contact us to arrange.

AI-powered tools such as ChatGPT, Gemini, and Microsoft 365 Copilot are revolutionizing the way procurement professionals conduct research, draft documents, analyze supplier data, and manage contracts. This instructor-led, live training (available online or onsite) is designed for intermediate-level procurement professionals who aim to utilize AI tools safely and effectively to enhance decision-making, automate operational tasks, and prepare for future procurement challenges. By the end of this training, participants will be able to: - Understand and differentiate between major AI tools and their relevance to procurement tasks. - Craft effective prompts to improve AI accuracy and minimize the risk of misuse. - Utilize AI to support sourcing, contract drafting, market analysis, and supplier evaluation. - Interpret AI-generated outputs responsibly and identify potential bias or inaccuracies. - Recognize privacy, confidentiality, and ethical concerns when using AI in procurement processes. - Apply AI tools to real-world procurement categories such as IT, Integrated Facility Management (IFM), Marketing, HR, and more. **Format of the Course** - Interactive lecture and discussion - Hands-on exercises with practical procurement examples - Use of live AI tools and prompt crafting practice **Course Customization Options** To request a customized training for government or other specific needs, please contact us to arrange.

This instructor-led, live training (online or onsite) is designed for intermediate-level media professionals who seek to utilize AI tools to generate content, verify facts, automate editing tasks, and optimize workflows in digital journalism for government and public sector applications.

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

• Leverage AI tools to draft news articles, headlines, and summaries with enhanced efficiency and accuracy.
• Utilize AI technologies to fact-check information, detect bias, and improve the clarity and tone of their content.
• Automate repetitive tasks in the newsroom, such as transcription and tagging, to streamline workflows.
• Adhere to ethical and editorial standards when integrating AI-assisted tools into content production processes.

This instructor-led, live training (conducted online or on-site) is aimed at intermediate to advanced-level cybersecurity professionals and technical leads who wish to understand how to implement artificial intelligence models to enhance security processes, automate threat detection and response, and perform predictive analysis for government. By the end of this training, participants will be able to: - Understand the role of AI in modern cyber security. - Develop machine learning models for anomaly and threat detection. - Implement AI solutions for automating incident response and security operations. - Evaluate the ethical and operational considerations of AI in cybersecurity.

This instructor-led, live training (online or onsite) is designed for government managers and business leaders who seek to gain a foundational understanding of artificial intelligence and effectively oversee AI initiatives within their organizations.

Upon completion of this training, participants will be equipped to comprehend AI at a technical level and develop strategic plans using their organization’s data and resources to successfully manage AI projects for government.

This instructor-led, live training in [location] (online or onsite) is designed for managers and business leaders who seek to gain a foundational understanding of artificial intelligence and oversee AI initiatives for government. By the end of this training, participants will be equipped to comprehend AI from a technical perspective and develop strategies using their organization’s data and resources to effectively manage AI projects for government.

This instructor-led, live training in [location] (online or onsite) is designed for government business professionals and team leaders at beginner to intermediate levels who wish to explore the value of artificial intelligence (AI) through real-world cases and hands-on exercises. By the end of this training, participants will be able to: - Understand key AI concepts relevant to their industry. - Identify opportunities where AI can enhance operations or improve public services. - Experiment with basic AI tools through guided practical activities. - Assess how to start small with AI in their own workplace for government.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level educators and edtech professionals who seek to leverage Generative AI to personalize education and enhance learning experiences. By the end of this training, participants will be able to: - Understand the principles and applications of Generative AI in the context of education. - Develop personalized learning materials and pathways using AI. - Utilize AI tools for classroom management and content creation. - Address ethical considerations in the use of AI for government and educational settings. - Formulate strategies for integrating AI into educational curricula and administrative processes.

This course offers a hands-on, no-code introduction to Artificial Intelligence (AI) applications tailored for logistics and supply operations in the fuel transportation sector. Participants will learn how to leverage AI tools and automation techniques to enhance route planning, inventory forecasting, volumetric control, and logistics cost estimation using accessible, no-code platforms such as Excel, Power BI, and ChatGPT. This instructor-led, live training (online or onsite) is designed for beginner-level professionals who wish to apply AI in real-world logistics scenarios without requiring programming or data science skills. By the end of this training, participants will be able to: - Understand the fundamentals of AI and its role in logistics and supply management. - Utilize AI-assisted tools to analyze operational data from routes, tanks, and deliveries. - Develop simple AI-based forecasting models for short-term fuel demand. - Apply AI for optimizing routes, scheduling, and resource allocation. - Estimate and track logistics costs using data-driven insights. - Create performance dashboards and visual KPIs for supply chain operations. - Design a practical 90-day plan for adopting AI in logistics and supply workflows. **Format of the Course** - Interactive lecture and discussion. - Hands-on exercises and real operational case studies. - Step-by-step use of no-code AI tools and templates. **Course Customization Options** - To request a customized training for government or other specific needs, please contact us to arrange.

Artificial Intelligence with Python is the development of intelligent systems utilizing Python’s extensive ecosystem of AI and machine learning libraries. This instructor-led, live training (online or onsite) is designed for intermediate-level Python programmers who wish to design, implement, and deploy AI solutions using Python. By the end of this training, participants will be able to: - Implement AI algorithms using Python’s core AI libraries. - Work with supervised, unsupervised, and reinforcement learning models. - Integrate AI solutions into existing applications and workflows for government. - Evaluate model performance and optimize for accuracy and efficiency. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and precise control over execution. This instructor-led, live training (available online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and operate LangGraph-based solutions for government with the necessary compliance, traceability, and governance controls. By the end of this training, participants will be able to: - Design legal-specific LangGraph workflows that ensure auditability and compliance. - Integrate legal ontologies and document standards into graph state and processing. - Implement guardrails, human-in-the-loop approvals, and traceable decision paths. - Deploy, monitor, and maintain LangGraph services in production with observability and cost controls. **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.

LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and control over execution. This instructor-led, live training (online or onsite) is aimed at intermediate to advanced-level professionals who wish to design, implement, and operate LangGraph-based solutions in the finance sector, ensuring proper governance, observability, and compliance for government and private entities. By the end of this training, participants will be able to: - Design finance-specific LangGraph workflows aligned with regulatory and audit requirements. - Integrate financial data standards and ontologies into graph state and tooling. - Implement reliability, safety, and human-in-the-loop controls for critical processes. - Deploy, monitor, and optimize LangGraph systems for performance, cost, and service level agreements (SLAs). **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 government or private sector needs, please contact us to arrange.

AI for HR is the application of artificial intelligence tools and techniques to enhance hiring, onboarding, talent management, employee experience, and HR operations.

This instructor-led, live training (online or onsite) is designed for intermediate-level HR professionals and people analytics practitioners who aim to understand how to evaluate, adopt, and responsibly apply AI tools to real HR use cases for government.

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

• Identify high-value HR use cases for AI and prioritize pilot opportunities.
• Design prompts and workflows to utilize LLMs for common HR tasks (e.g., job descriptions, summaries, communications).
• Assess ethical, legal, and privacy risks and implement mitigation strategies when using AI in HR processes.
• Measure impact and define success metrics for AI-enabled HR initiatives.

Format of the Course

• Interactive lecture and discussion.
• Hands-on exercises with real HR scenarios and datasets.
• Group workshops to design responsible AI-powered HR workflows.

Course Customization Options

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

The Devstral and Mistral models are open-source artificial intelligence technologies designed for flexible deployment, fine-tuning, and scalable integration. This instructor-led, live training (available online or onsite) is targeted at intermediate to advanced machine learning engineers, platform teams, and research engineers who aim to self-host, fine-tune, and govern the use of Mistral and Devstral models in production environments for government. By the end of this training, participants will be able to: - Set up and configure self-hosted environments for Mistral and Devstral models. - Apply fine-tuning techniques to optimize performance for specific domains. - Implement versioning, monitoring, and lifecycle governance practices. - Ensure security, compliance, and responsible usage of open-source models. **Format of the Course** - Interactive lectures and discussions. - Hands-on exercises in self-hosting and fine-tuning. - Live-lab implementation of governance and monitoring pipelines. **Course Customization Options** - To request a customized training for government use, please contact us to arrange.

LangGraph enables stateful, multi-actor workflows powered by LLMs with precise control over execution paths and state persistence. In healthcare, these capabilities are essential for compliance, interoperability, and building decision-support systems that align with medical workflows. This instructor-led, live training (online or onsite) is aimed at intermediate to advanced professionals who wish to design, implement, and manage LangGraph-based healthcare solutions while addressing regulatory, ethical, and operational challenges for government and private sector applications. By the end of this training, participants will be able to: - Design healthcare-specific LangGraph workflows with compliance and auditability in mind. - Integrate LangGraph applications with medical ontologies and standards (FHIR, SNOMED CT, ICD). - Apply best practices for reliability, traceability, and explainability in sensitive environments. - Deploy, monitor, and validate LangGraph applications in healthcare production settings. **Format of the Course** - Interactive lecture and discussion. - Hands-on exercises with real-world case studies. - Implementation practice in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

LangGraph is a framework designed for building stateful, multi-actor language model applications as composable graphs with persistent state and control over execution. This instructor-led, live training (online or onsite) is aimed at advanced-level AI platform engineers, DevOps professionals for government, and ML architects who wish to optimize, debug, monitor, and operate production-grade LangGraph systems. By the end of this training, participants will be able to: - Design and optimize complex LangGraph topologies for speed, cost, and scalability. - Engineer reliability through retries, timeouts, idempotency, and checkpoint-based recovery. - Debug and trace graph executions, inspect state, and systematically reproduce production issues. - Instrument graphs with logs, metrics, and traces, deploy to production, and monitor SLAs and costs. **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 (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.

PostgreSQL is a robust, open-source relational database that can be enhanced with artificial intelligence (AI) capabilities to support advanced data intelligence, predictive analytics, and automation. This instructor-led, live training (available online or on-site) is designed for intermediate to advanced-level data engineers, database administrators (DBAs), and solution architects who aim to design, implement, and govern enterprise-grade AI systems that leverage PostgreSQL. By completing this program, participants will gain the expertise to: - Integrate AI models and vector search capabilities directly into PostgreSQL. - Deploy AI-optimized architectures for high-volume enterprise workloads. - Implement robust governance, auditing, and compliance for AI data pipelines. - Leverage open-source and proprietary AI frameworks securely within PostgreSQL environments. **Format of the Course** - Interactive lectures and discussions on enterprise case studies. - Practical exercises and real-world labs. - Hands-on implementation in a live PostgreSQL environment. **Course Customization Options** - To request a customized training for government or other organizational needs, please contact us to arrange.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced-level participants who aim to enhance customer care operations through the use of AI and automation, while equipping their teams with the latest tools and strategies. By the end of this training, participants will be able to: - Understand current trends in customer care and customer success. - Utilize AI and automation to boost customer satisfaction and reduce operational workloads. - Optimize sales processes and customer interactions through advanced automation techniques. - Train team members remotely on modern tools and strategies for achieving customer success and driving sales. - Develop scalable solutions to enhance customer experiences and support revenue growth, ensuring alignment with public sector workflows and governance for government.

This instructor-led, live training (online or onsite) is designed for government data scientists and software developers at beginner to intermediate levels who wish to learn about Milvus and its practical applications in various AI scenarios. By the end of this training, participants will be able to: - Understand the architecture and features of Milvus. - Implement vector databases in different AI applications for government. - Perform similarity searches with high accuracy and speed. - Apply Milvus to real-world AI challenges.

This instructor-led, live training in [location] (online or onsite) is designed for beginner to intermediate developers and architects who wish to gain a foundational understanding of intelligent driving and its practical applications. By the end of this training, participants will be able to: - Explain the basic concepts and principles of artificial intelligence and their relevance to driving. - Understand the architecture and components of intelligent driving systems for government use. - Create and visualize a composite driving model integrating insights from various design disciplines. - Communicate and annotate issues and feedback effectively within the model. - Perform clash detection and resolution between different driving scenarios. - Simulate and control driving schedules and associated costs.

LangGraph is a graph-based orchestration framework designed to enable conditional, multi-step workflows involving language models and tools, making it ideal for automating and personalizing content pipelines. This instructor-led, live training (available online or onsite) is tailored for intermediate-level marketers, content strategists, and automation developers who aim to implement dynamic, branching email campaigns and content generation pipelines using LangGraph. By the end of this training, participants will be able to: - Design graph-structured content and email workflows incorporating conditional logic. - Integrate language models, APIs, and data sources for automated personalization. - Manage state, memory, and context across multi-step campaigns. - Evaluate, monitor, and optimize workflow performance and delivery outcomes. **Format of the Course** - Interactive lectures and group discussions. - Hands-on labs focusing on implementing email workflows and content pipelines. - Scenario-based exercises covering personalization, segmentation, and branching logic. **Course Customization Options for Government** To request a customized training for government agencies, please contact us to arrange.

Le Chat Enterprise is a private ChatOps solution designed to provide secure, customizable, and governed conversational AI capabilities for organizations. It supports role-based access control (RBAC), single sign-on (SSO), connectors, and integrations with enterprise applications. This instructor-led, live training (online or onsite) is aimed at intermediate-level product managers, IT leads, solution engineers, and security/compliance teams who wish to deploy, configure, and govern Le Chat Enterprise in enterprise environments for government use. By the end of this training, participants will be able to: - Set up and configure Le Chat Enterprise for secure deployments. - Enable RBAC, SSO, and compliance-driven controls. - Integrate Le Chat with enterprise applications and data stores. - Design and implement governance and administrative playbooks for ChatOps. **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 (online or onsite) is designed for beginner-level to intermediate-level data scientists and software developers who wish to learn how to apply Pinecone to various AI scenarios, from semantic search to personalization. By the end of this training, participants will be able to: - Understand the architecture and features of Pinecone. - Implement vector databases in different AI applications. - Conduct similarity searches with high accuracy and speed. - Apply Pinecone to real-world AI challenges for government and other sectors.

This instructor-led, live training in [location] (online or onsite) is designed for government professionals who wish to learn and understand the concept of Artificial Intelligence (AI) and how to utilize it effectively and responsibly. By the end of this training, participants will be able to: - Comprehend the fundamentals of Artificial Intelligence (AI). - Recognize the limitations and potential risks of AI and apply responsible practices. - Utilize AI effectively in real-world scenarios for government.

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 (online or onsite) is designed for beginner-level IT professionals who seek to gain both theoretical knowledge and practical understanding of artificial intelligence (AI) concepts. The training aims to ensure participants are well-prepared to pass the BCS Foundation Certificate exam and effectively apply AI solutions in their professional roles.

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

• Comprehend core principles of artificial intelligence (AI).
• Explore various applications, techniques, and tools related to AI.
• Identify the benefits, risks, and challenges associated with AI implementation.
• Gain insights into ethical considerations and governance in AI for government and other sectors.
• Be fully prepared to take the BCS Foundation Certificate in AI exam.

NobleProg is an accredited training provider by BCS.
This course will be delivered by a NobleProg trainer who has been approved by BCS.

LangGraph serves as a framework designed for constructing graph-based workflows utilizing large language models (LLMs), enabling branching logic, tool integration, memory management, and controlled execution. This instructor-led session, available via online or onsite delivery, targets intermediate engineers and product development teams seeking to leverage LangGraph’s logic alongside LLM agent loops. The curriculum focuses on developing dynamic, context-aware applications, including customer support systems, decision trees, and information retrieval infrastructure. Upon completion of this training, participants will be capable of: * Designing graph-based workflows that effectively coordinate LLM agents, external tools, and memory states. * Implementing conditional routing, automated retries, and fallback mechanisms to ensure robust execution. * Integrating retrieval systems, APIs, and structured outputs within agent loops. * Evaluating, monitoring, and securing agent behavior to enhance reliability and safety standards. **Course Format** * Interactive lectures and facilitated discussions. * Guided laboratory exercises and code walkthroughs conducted in a sandbox environment. * Scenario-based design activities and peer review sessions. **Course Customization** To request customized training for this course, please contact us to arrange the necessary accommodations. This instructional approach is tailored for government entities seeking specialized technical capacity building.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate to advanced data scientists and machine learning engineers who aim to master the use of vector databases for scalable, high-performance AI applications for government. By the end of this training, participants will be able to: - Understand the principles of vector databases. - Learn techniques for creating and managing vector embeddings. - Explore indexing strategies for high-dimensional data. - Develop skills for performing efficient similarity searches. - Apply vector database knowledge to machine learning projects for government.

This instructor-led, live training (available online or onsite) is designed for beginner-level IT professionals who wish to gain a comprehensive understanding of the potential benefits, risks, and challenges associated with implementing AI projects for government. By the end of this training, participants will be able to: - Understand the fundamental concepts, techniques, and ethical considerations of AI. - Be familiar with real-world applications and challenges in AI within the public sector. - Gain confidence to take the BCS Essentials Certificate in Artificial Intelligence exam. - Develop a practical approach to AI implementation in their professional environments for government. NobleProg is an accredited training provider by BCS. This course will be delivered by an expert NobleProg trainer approved by BCS.

This instructor-led, live training (online or onsite) is designed for government researchers and laboratory professionals at beginner to intermediate levels who wish to process and analyze images related to histological tissues, blood cells, algae, and other biological samples. By the end of this training, participants will be able to: - Navigate the Fiji interface and utilize ImageJ’s core functions effectively. - Preprocess and enhance scientific images for improved analysis. - Conduct quantitative image analysis, including cell counting and area measurement. - Automate repetitive tasks using macros and plugins. - Customize workflows to meet specific image analysis needs in biological research for government applications.

LangGraph serves as a robust framework for developing graph-structured large language model applications that facilitate planning, branching, tool utilization, memory management, and controlled execution. This instructor-led, live training, available in online or onsite formats, is designed for beginner-level developers, prompt engineers, and data practitioners seeking to design and construct reliable, multi-step LLM workflows using LangGraph. Upon completion of this instruction, participants will be equipped to: * Articulate fundamental LangGraph concepts, including nodes, edges, and state, and determine appropriate application scenarios. * Develop prompt chains capable of branching logic, invoking tools, and retaining context. * Incorporate retrieval mechanisms and external APIs into graph-based workflows. * Conduct testing, debugging, and evaluation of LangGraph applications to ensure operational reliability and safety standards. **Training Format** * Interactive lectures and facilitated discussions. * Guided laboratory exercises and code walkthroughs within a sandbox environment. * Scenario-based exercises focused on design, testing, and evaluation methodologies. **Customization Options** For government entities requiring tailored instruction, please contact the provider to arrange customized training services.

This resource provides actionable methodologies for Data Science and artificial intelligence leveraging Python, enabling personnel to analyze datasets, develop machine learning models, and implement AI-enabled solutions within organizational frameworks. The curriculum encompasses CRISP-DM processes, statistical evaluation, supervised and unsupervised learning techniques, deep learning via TensorFlow, natural language processing, big data analytics with Spark, and data-driven communication strategies. Designed to support workforce development, this material serves as a foundational pathway for individuals pursuing Python data science credentials and career-oriented analytics training specifically for government.

This instructor-led, live training (online or onsite) is designed for professionals who wish to leverage AI to enhance their systems and software engineering work. If you are seeking ways to use AI to significantly accelerate your systems engineering processes, this class is tailored for you. Participants will model a Scanning Electron Microscope (both hardware and software) as part of their lab exercise, learning how to formulate effective questions to receive AI assistance in constructing the model. By the end of this 3-day course, participants will: - Understand how to utilize AI as a "subject matter expert" in defining system/software models. - Be familiar with "the four pillars of SysML" (Requirements, Structure, Behavior, and Parametrics). - Know how to structure their SysML models to accommodate software components, including: - Generating User Interface Code from Behavior Models - Generating Database Code from Structure Models - Generating Microcontroller Code from State Machines This training is aligned with best practices for government, ensuring that participants can apply these skills effectively within public sector workflows and governance frameworks.

This course equips participants with the necessary artificial intelligence (AI) literacy to become the leading AI business professionals in their organizations. It covers essential AI concepts and use cases, enabling participants to engage in informed discussions with data specialists. The curriculum also focuses on creating an effective AI strategy and fostering an organization ready for AI implementation. Participants will learn how to establish and manage AI projects, as well as evaluate decisions regarding the procurement or development of AI tools for government applications.

This instructor-led program, available through online or onsite delivery, is designed for **team leaders and middle managers** seeking to implement artificial intelligence in a secure and effective manner. The curriculum addresses critical human factors essential to operational success, including **trust, accountability, decision-making habits, and psychological safety**. Upon completion of this training, participants will be equipped to: * Establish clear criteria for AI application and cessation (stop rules). * Validate AI-generated outputs using practical benchmarks, such as identifying warning signs and utilizing secondary sources. * Define protocols for accountability and escalation triggers. * Develop team agreements and comprehensive 30-day adoption plans **for government** entities and public sector organizations.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate to advanced professionals, business leaders, and policymakers who wish to explore the role of artificial intelligence (AI) in business, society, and future developments. By the end of this training, participants will be able to: - Understand how AI influences business operations, economic trends, and workforce dynamics. - Recognize the ethical, legal, and societal challenges associated with AI adoption. - Analyze the impact of AI on privacy, governance, and inclusion for government and other sectors. - Evaluate strategies to address AI bias and ethical concerns. - Discuss the future potential and emerging challenges of AI.

This instructor-led, live training aims to evaluate artificial intelligence platforms—specifically ChatGPT, Gemini, and Microsoft Copilot—to identify their optimal applications within public sector workflows. Participants will engage in real-world exercises that facilitate a direct comparison of these tools, enabling them to develop a structured framework for selecting the appropriate technology for government operations. The course provides actionable strategies for leveraging AI capabilities to enhance efficiency and decision-making for government entities.

This instructor-led training, available via online or onsite delivery, is designed for analysts, researchers, business professionals, and technology leaders seeking to integrate modern artificial intelligence tools into their professional operations. The curriculum provides an examination of prominent AI platforms, including ChatGPT, Google Gemini, and Microsoft Copilot, focusing on their utility for research synthesis, document analysis, workflow automation, and data exploration. Through practical demonstrations and guided exercises, participants will assess platform functionalities, evaluate the accuracy of AI-generated outputs, and employ strategies to mitigate hallucinations and enhance prompt efficacy. Additionally, the program covers the development of specialized AI agents using Custom GPTs, Copilot Agents, and Gemini Gems. This instruction is intended for government entities and personnel looking to modernize their analytical capabilities. Upon completion of this course, participants will be equipped to: * Evaluate major AI platforms and select appropriate solutions for specific operational needs. * Leverage AI tools to facilitate research, document analysis, and information synthesis. * Implement verification techniques to identify inaccuracies and improve response reliability. * Construct customized AI assistants to automate recurring professional tasks. * Apply AI technologies to optimize analysis, reporting, and knowledge management workflows. **Course Format** * Interactive lectures and discussions. * Extensive practice exercises. * Hands-on implementation within a live laboratory environment.

This curriculum is intended for federal employees initiating the use of artificial intelligence within official workspaces. The training addresses core competencies in prompt engineering, data security protocols, and privacy compliance. It demonstrates applicable artificial intelligence workflows across Microsoft Word, Excel, Outlook, and PowerPoint to enhance operational efficiency. Participants will review case studies illustrating productivity gains while gaining a clear understanding of the current capabilities and limitations of these technologies as provided for government use.

This instructor-led, live training is ideal for individuals new to Artificial Intelligence (AI) who are interested in understanding its applications for government. By the end of this training, participants will be able to: - Grasp the concept of Artificial Intelligence (AI) and its impact across various industries. - Understand the fundamentals of Machine Learning and Deep Learning. - Familiarize themselves with different AI tools and software.

Development of Artificial Intelligence Assistants for Professional Applications
Leveraging Custom GPTs, Copilot Agents, and Gemini Gems

This instructor-led, live instructional session is designed to enable personnel to architect and implement customized artificial intelligence assistants that align with professional operational workflows.

Attendees will acquire the skills necessary to configure platforms such as Custom GPTs, Microsoft Copilot Agents, and Gemini Gems to automate routine functions, including research synthesis, meeting documentation, drafting communications, and data analysis. This curriculum is tailored for government audiences seeking to enhance operational efficiency through technology adoption.

Utilizing guided demonstrations and practical exercises, participants will construct a personalized AI assistant and formulate an integration blueprint to embed these tools into daily work processes.

Upon completion of the training, participants will demonstrate proficiency in designing AI assistants that address specific operational requirements and deploying them to optimize productivity, support decision-making capabilities, and streamline knowledge management.

Instructional Format

• Interactive instruction combined with guided technical demonstrations.
• Practical exercises requiring the development and validation of AI assistants.
• Application of AI solutions within realistic workflow scenarios.

Each participant will finalize the development of a Personal AI Assistant and an AI Workflow Blueprint during the session.

Customization Options

• To request customized training aligned with specific agency requirements, please contact the program coordinators to arrange your session.

Course Overview

This hands-on training is designed for professionals with a background in data engineering who wish to develop practical skills in artificial intelligence, Python, and large language models. The course emphasizes real-world applications, including model usage, prompt engineering, and the construction of AI-powered solutions. Participants will engage in progressive exercises that advance from fundamental concepts to the development of deployable AI workflows.

Format of Training

• In-person classroom training
• Instructor-led sessions with guided practice
• Interactive discussions and real-world case studies
• Daily hands-on exercises

Course Objectives

• Understand core AI and machine learning concepts relevant to modern applications for government
• Strengthen Python skills for AI development and data workflows in a public sector context
• Learn the principles of large language models and how to use them effectively in government projects
• Design and optimize prompts to ensure reliable outputs in governmental operations
• Build end-to-end AI solutions using APIs and frameworks suitable for government applications
• Integrate AI into data engineering pipelines to enhance public sector workflows

This instructor-led program, delivered either remotely or on-site at designated locations, provides system administrators and DevOps engineers with the operational guidance necessary to deploy, configure, and maintain EXO clusters. The curriculum focuses on enabling private large language model (LLM) inference capabilities across distributed environments comprising multiple Apple Silicon or Linux nodes. Designed for government entities and public sector organizations requiring secure, on-premises AI infrastructure solutions, this training ensures personnel possess the technical proficiency needed to manage these systems effectively within regulated compliance frameworks tailored for government applications.

This instructor-led, live training session, available online or onsite, is designed for DevOps engineers and infrastructure architects seeking to automate the deployment, oversight, and lifecycle administration of private AI clusters utilizing EXO. This program provides essential knowledge and practical skills for government personnel tasked with managing advanced computing resources effectively.

This instructor-led training program is specifically developed for cross-functional management teams, providing the necessary framework to understand and practically apply Artificial Intelligence within daily business operations, decision-making, planning, analysis, and process optimization. This curriculum is designed for government agencies seeking to integrate advanced analytical capabilities into their operational workflows.

Following the foundational training on Generative AI, this intensive one-day workshop is designed as a deep-dive session for the Corporate Communications team. The primary objective is to move beyond theory and equip participants with the skills to strategically design and implement AI-powered solutions for their specific departmental challenges.

This hands-on, project-based program will culminate in a team competition, fostering innovation and generating practical, ready-to-use AI workflows tailored to the unique communication needs of the organization. The workshop is structured to align with best practices for government agencies, ensuring that participants can apply these skills effectively within their roles.

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

• Master advanced prompt engineering techniques for nuanced and complex communication tasks.
• Design and conceptualize specialized AI agents or Custom GPTs to automate recurring workflows.
• Apply AI tools to conduct in-depth analysis of campaign performance, media sentiment, and audience feedback.
• Collaboratively develop a strategic, implementable AI-powered solution to a real-world departmental challenge.
• Effectively pitch an AI-driven project, demonstrating its value and business impact for government operations.