# AI for Federal HR Course Canonical URL: ## Overview This full-day, hands-on course equips federal HR professionals with practical skills for using Artificial Intelligence (AI) to support everyday work in classification, talent acquisition, and talent development. Participants will learn what AI is, how AI tools and language models work, and how they can be applied to tasks such as drafting position descriptions and vacancy announcements, supporting job analysis and crediting plans, preparing interview questions, researching HR policy and guidance, and identifying employee development needs. The course also addresses the responsible use of AI in federal environments, with a focus on privacy, confidentiality, bias, copyright, and compliance considerations. Through demonstrations and applied exercises, participants will practice writing effective prompts, evaluating AI-generated content, and applying human judgment to ensure outputs are accurate, fair, and aligned with federal requirements. Federal employees will leave with practical strategies for using AI to improve efficiency and decision-making while upholding accountability and public trust. ## What you'll learn - Summarize key terminology in artificial intelligence (AI). - Explain the architecture of AI systems. - Identify HR challenges with AI ethical and legal standards. - Demonstrate how AI can be used in HR operations. - Ensure compliance with OPM rules and regulations. ## Curriculum #### Module 1: Introduction to AI - Define what Artificial Intelligence (AI) is. - Identify common examples and everyday uses of AI. - Explain, at a basic level, how AI works. - Describe core subfields, including neural networks, machine learning, and deep learning. - Apply this knowledge in the introductory exercise “Search vs. AI.” #### Module 2: AI Technologies & Usage - Introduce language models and GPT-style systems. - Provide an overview of current AI technologies and their capabilities. - Examine government use cases for AI applications. - Practice using AI assistants to support daily work tasks. - Improve AI outputs by crafting better prompts and testing different approaches. - Participate in the hands-on activity “AI Assistance with Your Work.” #### Module 3: Ethical, Legal, and Regulatory Considerations for AI - Recognize data privacy and confidentiality requirements when using AI. - Summarize legal considerations related to AI-generated content and copyright. - Ensure compliance with applicable AI laws and regulations, including GDPR and federal guidance. - Identify ethical challenges such as bias, transparency, and accountability in AI systems. - Distinguish between safe and unsafe uses of AI through the group exercise “Safe vs. Unsafe AI Use.” #### Module 4: AI in Classification - Learn effective prompting techniques when requesting a draft position description. - Identify and address inconsistencies in AI-generated results. - Enhance requests through thoughtful refinement. - Evaluate and compare factor levels within a position description. #### Module 5: AI in Talent Acquisition - Explain how using artificial intelligence (AI) in hiring focuses on improving efficiency, ensuring fairness, and maintaining compliance with regulations. - Identify the four key areas of the hiring process covered in this module: - Vacancy Announcements - Job Analysis/Crediting Plans - Rating and Ranking applicants - Preparing Interview Questions #### Module 6: Using AI for Talent Development - Recognize that many agencies use AI-driven platforms that support employee training and development. - Describe how personalized learning portals recommend courses or resources to employees based on their job role and skill gaps. - Explain how AI in a Learning Management System can suggest training to an employee by analyzing competencies, past training, and performance data. - Identify SBA’s use of an AI-simulated coach to help employees practice conversations as a creative example of AI in development. ## Schedule - Jun 22, 2026 9:00am–4:30pm — Live Online - Jul 13, 2026 9:00am–4:30pm — Live Online - Aug 27, 2026 9:00am–4:30pm — Live Online - Sep 24, 2026 9:00am–4:30pm — Live Online - Oct 22, 2026 9:00am–4:30pm — Live Online - Nov 16, 2026 9:00am–4:30pm — Live Online - Dec 17, 2026 9:00am–4:30pm — Live Online ## Instructors ### Bruce Gay — Instructor Bruce is an engaging trainers and program manager who brings 25+ years practical experience to deliver effective and experiential training to students. Able to engage adult learners with a range of backgrounds and professional experiences. Successful at building effective stakeholder relationships and coordinating multi-disciplinary teams for solution delivery. Bruce has over 25 years of project and program management experience across multiple industries. He has a Masters degree from The George Washington University and a B.A. from the University of North Carolina Chapel Hill. Bruce currently runs his own freelance training and consulting business, helping project managers and team leaders improve their business skills, become better leaders, and achieve professional greatness. Bruce is a well-received speaker in the areas of design thinking, project management, cross-team collaboration, and AI tools for projects, and has presented at regional and international conferences. ### Steve Pesklo — Instructor Steve is an energetic trainer who focuses on applying technical concepts to everyday work practices. He is the founder and president of SoftLake Solutions, a company that specializes in providing data and AI applications to identify fraud for Internal Audit, Criminal Investigations, Forensic Accounting, Privacy, and Compliance. Steve brings a large amount of experience across multiple industries and government agencies. He is an expert in implementing large data analysis projects across the world, including Inland Revenue in the UK and Argentina, New Zealand, Africa and across Europe. Previously, he was the manager of Data Architecture and Data Services for a large mortgage company. He is a frequent speaker on data analytics and project management topics and speaks fluent German. He has been teaching at the Graduate School for over 10 years. Steve has an M.B.A. from the University of St. Thomas and a B.S. in Computer Science from California Lutheran University and the Universität Salzburg in Austria. He is certified as a Certified Fraud Examiner (CFE), Project Management Professional (PMP), and a Certified ScrumMaster (CSM). ### Brian Simms — Instructor Brian Simms is a seasoned educator and training leader with extensive experience developing and delivering innovative learning programs in project management and emerging technologies. Over the course of his career, he has designed adaptive learning models that combine instructor-led sessions, live online experiences, and self-paced study, ensuring professionals can access training in flexible and effective ways. His work has emphasized the integration of artificial intelligence into professional development, helping organizations and individuals understand how AI can be applied to solve real-world challenges in leadership, project execution, and decision-making. In addition to his instructional expertise, Brian has guided curriculum development, led large training initiatives, and advanced the use of collaboration tools that improve learner engagement and retention. His depth of experience and forward-looking perspective make him uniquely equipped to prepare federal professionals to navigate the complexities of data, project management, and the transformative potential of AI. ### Clarissa J. Corbin — Instructor Clarissa J. Corbin is an accomplished corporate trainer, project manager, and business consultant with over 25 years of experience designing and delivering impactful learning experiences. As President and CEO of Projections Training Solutions, she partners with federal agencies, private corporations, and international organizations to provide results-driven training in leadership, project management, business analysis, and emerging technologies. Clarissa has trained more than 10,000 professionals worldwide, serving clients such as the DoD, NASA, FEMA, Microsoft, Citibank, PNC Bank, Del Monte, and Symantec. Her expertise has taken her across the globe, leading initiatives in Singapore, China, Japan, South Korea, Africa, Jamaica, Trinidad & Tobago, and St. Thomas, USVI. Known for her ability to engage diverse audiences and create interactive, high-impact sessions, Clarissa equips participants with practical solutions they can apply immediately. At Graduate School USA (GSUSA), Clarissa is regarded as one of the most versatile and trusted instructors. She teaches across multiple programs. She played a pivotal role in redesigning the flagship “Managing for Results” course, while also contributing to the development and review of numerous others. Her contributions have earned her two GSUSA Customer Excellence Awards and a two-year appointment to the GSUSA Instructor Advisory Council, underscoring her commitment to innovation, quality, and learner success. ### Natalya H. Bah — Instructor Natalya Bah has been a part-time instructor at the Graduate School USA for over fifteen years. Natalya teaches across multiple curricula, including Leadership and Management, Project Management, and Human Resources. She has created a curriculum for the school, including Change Management Workshops and project management courses. She has served as an action learning coach, instructor, and facilitator for government leadership programs in the Center for Leadership and Management. Natalya also provides self-assessments and dynamic team-building sessions on behalf of the Graduate School USA. Outside of Graduate School USA, Ms. Bah is a self-employed business owner providing executive coaching, training, and consulting services to the public and private sectors. She created the Define and Achieve Your Goals Process™ and is a certified Birkman Method© Consultant. She received her Master of Science degree in Project Management from George Washington University’s School of Business, where she served as a teaching assistant and received the Project Management Award. She is also a certified Project Management Professional (PMP). ### Michiel Pruijssers Michiel is a Principal Designer and Forward Deployed Engineer at Microsoft's Industry Solutions Engineering Division, where he partners with strategic enterprise customers to architect and ship production AI systems. With over 15 years of experience, he operates at the intersection of user research, design, engineering, and cloud architecture, anchored by deep expertise in machine learning. His career spans senior roles at Snorkel AI, Determined.ai, and earlier Microsoft teams behind foundational AI products including LUIS.ai, Azure Bot Service, and Azure Stack, where he led both customer discovery and platform design for some of the industry's most technically ambitious ML offerings. He pairs rigorous qualitative research with hands-on building, shipping his own production SaaS products in Python while also teaching students through cohort-based AI courses. His instruction is grounded in real practice: what it takes to design, build, and operate AI systems that actually hold up in the wild. ## Pricing **Tuition:** $899