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Explore how artificial intelligence (AI) tools can support data-driven decision-making within the federal government through hands-on analytics activities and operational scenarios. Participants will actively use AI tools to analyze disaster response data, identify operational trends, evaluate ethical and privacy considerations, generate decision-support insights, and develop responsible AI analytics workflows. The course examines the opportunities, risks, and governance considerations associated with AI-supported analysis in federal environments, including data quality, privacy protection, decision support systems (DSS), and implementation planning. Through interactive AI Labs, case studies, and applied exercises, participants will gain hands-on experience using AI to support analytics, reporting, and operational decision-making while applying human oversight, ethical review, and responsible data management practices.
Important: You must have access to an AI tool to take this course.
This course is designed for federal professionals who use data to support operational, analytical, or strategic decision-making and want practical experience using AI tools responsibly within federal environments. Participants will gain hands-on experience using AI to analyze data, generate insights, support decision-making, and apply responsible AI analytics practices.
Course Level: Intermediate
CLP: 16 | CPE: 16
Duration: 2 Days
Price: $ 1409.00
Guaranteed to Run are designated with a
August 19 - August 20, 2026
Class ID: 264614008
Virtual
9 AM - 5 PM EST
October 19 - October 20, 2026
Class ID: 264614005
Washington, DC
8 AM - 4 PM EST
December 14 - December 15, 2026
Class ID: 264614006
Virtual
9 AM - 5 PM EST
February 1 - February 2, 2027
Class ID: 274614001
Virtual
9 AM - 5 PM EST
April 5 - April 6, 2027
Class ID: 274614002
Virtual
8 AM - 4 PM EST
June 7 - June 8, 2027
Class ID: 274614003
Virtual
9 AM - 5 PM EST
August 16 - August 17, 2027
Class ID: 274614004
Virtual
9 AM - 5 PM EST
October 18 - October 19, 2027
Class ID: 274614005
Virtual
8 AM - 4 PM EST
December 13 - December 14, 2027
Class ID: 274614006
Virtual
9 AM - 5 PM EST