# AI & Data Literacy for the Federal Workforce Canonical URL: ## Overview Artificial intelligence (AI) and data are reshaping how organizations work and make decisions. This interactive training introduces participants to the essentials of AI and data literacy, helping them understand, interpret, and use data-driven technologies more confidently in their daily work. Through hands-on activities and practical examples, participants will learn key concepts, common terminology, and best practices for working with AI tools and interpreting data. The course focuses on real-world applications and offers actionable strategies to build digital confidence, support informed decision-making, and encourage a more data-savvy workplace. ## What you'll learn - Define basic concepts and terminology related to artificial intelligence and data. - Recognize how AI and data are used in workplace operations and decision-making. - Interpret simple data visualizations and AI outputs relevant to everyday work. - Identify common risks and ethical considerations related to AI and data use. - Apply foundational practices to improve data literacy and support responsible AI use. ## Curriculum #### Module 1: AI Foundations & Why Verification Comes First - Core AI and data concepts: algorithms, models, structured vs. unstructured data - Where AI training data comes from — and why it matters for output quality - The AI Validation Checklist: a seven-point verification framework - What hallucinations look like in practice — and why they're dangerous - The DIG framework: Describe, Introspect, Goal-Set before every AI analysis - The AI Decision Log: documenting prompts, output, verification, and decisions #### Module 2: AI in Government & Interpreting Data - AI in government operations: fraud detection, document automation, chatbots, predictive analytics - Human-AI partnership: why human oversight isn't optional - The ACHIEVE framework: deciding when to use AI - Common chart types and how to read them critically - Common pitfalls in data interpretation: correlation vs. causation, misleading averages, and more - Interpreting AI output: prediction scores, category labels, and generated insights #### Module 3: Responsible AI & Ethics - Current federal AI policy direction and the March 2026 national framework - Bias and fairness: real examples from TSA, healthcare, and criminal justice - Deepfakes and synthetic media: risks and protective practices for federal employees - Data privacy and PII awareness: what to share and what to protect - How the AI Decision Log connects to accountability, transparency, and FOIA readiness #### Module 4: Practical Skills & Your Action Plan - Prompt engineering: weak vs. strong prompts with federal examples - The RACE prompt framework: Role, Action, Context, Expectation - Generative AI in your federal workflow: where AI helps vs. where humans must decide - Hands-on lab: Use AI to analyze a federal operations dataset using DIG, RACE, and the Validation Checklist - Know your agency's AI landscape: Chief AI Officer, approved tools, governance structure - AI and data literacy by role: how today's skills apply to your specific job function ## Schedule - Jul 27, 2026 8:00am–12:00pm — Live Online - Aug 25, 2026 8:00am–12:00pm — Live Online - Sep 17, 2026 1:00pm–5:00pm — Live Online - Oct 22, 2026 8:00am–12:00pm — Live Online - Nov 19, 2026 1:00pm–5:00pm — Live Online - Dec 17, 2026 1:00pm–5:00pm — Live Online ## Instructors ### Dan Rodney — School Director, Instructor, & Senior Course Developer Dan Rodney has been a designer and web developer for over 20 years, creating coursework and leading innovative training initiatives at Noble Desktop. He teaches courses covering Figma, HTML & CSS, Adobe Photoshop, InDesign, Illustrator, and Power BI. Dan has also been at the forefront of integrating AI into design and business workflows, spearheading Noble Desktop’s latest AI course offerings. In addition to teaching and curriculum development, he writes custom scripts for InDesign (Make Book Jacket, Proper Fraction Pro, and more) and works with automation and AI-driven tools in his free time. You can find Dan on X (Twitter), LinkedIn, Facebook, and at danrodney.com. Learn more about [Dan Rodney's](/dan-rodney) background and expertise. ### Garfield Stinvil — Senior Instructor Garfield is an experienced software trainer with over 16 years of real-world professional experience. He started as a data analyst with a Wall Street real estate investment company & continued working in the professional development department at New York Road Runners Organization before working at Noble. He enjoys bringing humor to whatever he teaches and loves conveying ideas in novel ways that help others learn more efficiently. Since starting his professional training career in 2016, he has worked with several corporate clients including Adobe, HBO, Amazon, Yelp, Mitsubishi, WeWork, Michael Kors, Christian Dior, and Hermès. Outside of work, his hobbies include rescuing & archiving at-risk artistic online media using his database management skills. ### Mourad Kattan — Program Director & Instructor Mourad Kattan is an instructor and Program Director of Business, Finance, & Excel at Noble Desktop, teaching classes and designing courses in Excel, finance, accounting, and financial modeling. Before Noble Desktop, Mourad worked as a financial analyst at Credit Suisse and H/2 Capital Partners. In those positions, he used advanced analytical and financial skills to evaluate a variety of investments. Mourad graduated from the University of Pennsylvania summa cum laude and is part of the Beta Gamma Sigma honor society. Learn more about [Mourad Kattan's](/mourad-kattan) background and expertise. ### Christophe Drayton — Instructor Christophe is the instructor for the UX & UI Design Certificate, Figma Advanced, and Generative AI courses at Noble Desktop, and the founder and Chief Design Officer of Kaaiind, which specializes in Applied Artificial Intelligence in the Creative field. With over 20 years in Branding, UX Design, and Accessibility across Europe and the US, Christophe has positively impacted the digital experience of a large spectrum of companies, ranging from big data to startups, government entities to nonprofits, both in the private and public sectors. As an Educator, Christophe has led transformative and award-winning UX programs at Thinkful, the City University of New York (CUNY), and the Brooklyn Public Library, which have opened doors for underrepresented groups in tech who have secured roles at top companies like Google, Uber, Citi, and IBM. Most recently, he has developed innovative curricula about AI in the workplace for the University of Phoenix, LinkedIn Learning, and Coursera. Today, he focuses on developing Allie, one of the first AI-powered, patent-pending color-blind safe and WCAG-compliant design system generator, while concluding his 5-year fundamental research on color vision deficiencies in digital environments. Christophe believes in hands-on, practical application of human-centered strategy and ethical and inclusive design. He is passionate about sharing his knowledge to inspire and empower the next generation of designers, especially those entering the field through nontraditional paths. ## Pricing **Tuition:** $675