Register for CEU/PDH Credits
Room 309 Sessions: Seminars for each day will be available starting at 8:00 PM EST.
COMING SOON: Session begins at 2:45pm EST on Saturday, February 14, 2026
Date: 2/14/2026, 2:45 PM - 4:00 PM ET
This course evaluates the risks posed by cryptographically relevant quantum computers and provides strategies to protect mission-critical networks. Participants will gain an understanding of the potential threats that quantum computing poses to current cryptographic systems and the urgency of transitioning to quantum-safe security measures. The course will cover the assessment of organizational risk from quantum disruption, including identifying vulnerable systems and data. Participants will also learn how to build strategic partnerships to accelerate readiness for quantum-safe practices, collaborating with industry experts, government agencies, and other stakeholders. Additionally, the course will provide recommendations for agency-wide steps to adopt Post-Quantum Cryptography (PQC) and ensure long-term security in the quantum era.
At the end of this seminar, participants will be able to:
Assess organizational risk from quantum disruption.
Build strategic partnerships to accelerate readiness.
Recommend agency-wide steps for PQC adoption.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Building Coalitions; Partnering; Influencing/Negotiating; Results Driven; Accountability; Problem Solving; Decisiveness; Technology Management
CEU credits: 1.25
At the end of this seminar, participants will be able to:
Assess organizational risk from quantum disruption.
Build strategic partnerships to accelerate readiness.
Recommend agency-wide steps for PQC adoption.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Building Coalitions; Partnering; Influencing/Negotiating; Results Driven; Accountability; Problem Solving; Decisiveness; Technology Management
CEU credits: 1.25
COMING SOON: Session begins at 1:15pm EST on Saturday, February 14, 2026
Date: 2/14/2026, 1:15 PM - 2:30 PM ET
This course provides an executive overview of Post-Quantum Cryptography (PQC), emphasizing the vulnerabilities in current cryptographic systems and the urgency of adopting quantum-safe practices. Participants will gain a comprehensive understanding of PQC and its critical role in national cybersecurity. The course will cover the identification of areas where current cryptographic systems are most vulnerable to quantum attacks, highlighting the potential risks and consequences. Additionally, participants will develop actionable steps for transitioning to quantum-safe environments, ensuring that their organizations are prepared for the quantum era.
At the end of this seminar, participants will be able to:
Define PQC and its role in national cybersecurity.
Identify where cryptographic systems are most vulnerable.
Develop action steps for transitioning to quantum-safe environments.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Leading Change; Problem Solving; Decisiveness; External Awareness; Business Acumen; Strategic Thinking; Technology Management
CEU credits: 1.25
At the end of this seminar, participants will be able to:
Define PQC and its role in national cybersecurity.
Identify where cryptographic systems are most vulnerable.
Develop action steps for transitioning to quantum-safe environments.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Leading Change; Problem Solving; Decisiveness; External Awareness; Business Acumen; Strategic Thinking; Technology Management
CEU credits: 1.25
COMING SOON: Session begins at 11:45am EST on Saturday, February 14, 2026
Date: 2/14/2026, 11:45 AM - 1:00 PM ET
This course explores IBM’s quantum roadmap, highlighting key milestones and how both industry and government can prepare for the impending disruption brought about by quantum computing. Participants will gain a comprehensive understanding of the current state of quantum computing, as well as projections for its future development. The course will delve into the implications of quantum computing for national security and global competitiveness, examining how quantum technologies can both pose risks and offer strategic advantages. Additionally, participants will assess workforce readiness and investment strategies, ensuring that their organizations are well-prepared to leverage quantum computing advancements.
At the end of this seminar, participants will be able to:
Understand the current and projected state of quantum computing.
Explore implications for national security and competitiveness.
Assess workforce readiness and investment strategies.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Leading Change; External Awareness; Vision; Results Driven; Accountability; Business Acumen; Strategic Thinking; Technology Management
CEU credits: 1.25
At the end of this seminar, participants will be able to:
Understand the current and projected state of quantum computing.
Explore implications for national security and competitiveness.
Assess workforce readiness and investment strategies.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Leading Change; External Awareness; Vision; Results Driven; Accountability; Business Acumen; Strategic Thinking; Technology Management
CEU credits: 1.25
COMING SOON: Session begins at 10:15am EST on Saturday, February 14, 2026
Date: 2/14/2026, 10:15 AM - 11:30 AM ET
This course empowers executives to create an organizational roadmap for AI adoption that balances risk, innovation, and mission outcomes. Participants will learn how to develop a comprehensive vision for integrating AI into their operations, ensuring that AI initiatives align with the organization's mission and workforce needs. The course will cover strategies for building resilience into long-term planning, addressing potential challenges and uncertainties associated with AI adoption. Topics will include risk management, innovation strategies, and aligning AI with organizational goals to drive sustainable success.
At the end of this seminar, participants will be able to:
Create a vision for AI integration in operations.
Align AI strategies with mission and workforce needs.
Build resilience into long-term planning.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Business Acumen; Leading Change; Strategic Thinking; Problem Solving; Technical Credibility; Technology Management; Results Driven; Accountability.
CEU credits: 1.25
At the end of this seminar, participants will be able to:
Create a vision for AI integration in operations.
Align AI strategies with mission and workforce needs.
Build resilience into long-term planning.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Business Acumen; Leading Change; Strategic Thinking; Problem Solving; Technical Credibility; Technology Management; Results Driven; Accountability.
CEU credits: 1.25
COMING SOON: Session begins at 4:15pm EST on Friday, February 13, 2026
Date: 2/13/2026, 4:15 PM - 5:30 PM ET
This course provides leaders with a comprehensive understanding of AI's broader impact on the workforce, ethics, and global competitiveness. Participants will assess how AI-driven technologies are reshaping societal and workforce dynamics, including changes in job roles, skill requirements, and organizational structures. The course will cover critical policy, regulation, and ethical issues related to AI adoption, such as data privacy, algorithmic bias, and accountability. Participants will also develop strategic recommendations for integrating AI into their organizations, ensuring that AI initiatives align with ethical standards and contribute to global competitiveness.
At the end of this seminar, participants will be able to:
Evaluate societal and workforce shifts driven by AI.
Address policy, regulation, and ethical issues.
Develop strategic recommendations for AI adoption.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Leading Change; External Awareness; Vision; Building Coalitions; Political Savvy.
CEU credits: 1.25
At the end of this seminar, participants will be able to:
Evaluate societal and workforce shifts driven by AI.
Address policy, regulation, and ethical issues.
Develop strategic recommendations for AI adoption.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Leading Change; External Awareness; Vision; Building Coalitions; Political Savvy.
CEU credits: 1.25
COMING SOON: Session begins at 2:45pm EST on Friday, February 13, 2026
Date: 2/13/2026, 2:45 PM - 4:00 PM ET
This course evaluates how robotics are reshaping operations, supply chains, and workforce strategies. Participants will explore the strategic value that robotics can provide across various sectors, including manufacturing, logistics, and healthcare. The course will cover the assessment of return on investment (ROI) for robotics integration, examining both the financial and operational impacts.
Additionally, participants will learn how to balance automation with workforce considerations, ensuring that human capital is effectively managed alongside technological advancements. Topics will include change management, employee training, and maintaining workforce morale in an increasingly automated environment.
At the end of this seminar, participants will be able to:
Identify sectors where robotics provides strategic value.
Assess ROI for robotics integration.
Balance automation with workforce considerations.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Results Driven; Decisiveness; Customer Service; Business Acumen; Human Capital Management; Technology Management.
CEU credits: 1.25
Additionally, participants will learn how to balance automation with workforce considerations, ensuring that human capital is effectively managed alongside technological advancements. Topics will include change management, employee training, and maintaining workforce morale in an increasingly automated environment.
At the end of this seminar, participants will be able to:
Identify sectors where robotics provides strategic value.
Assess ROI for robotics integration.
Balance automation with workforce considerations.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Results Driven; Decisiveness; Customer Service; Business Acumen; Human Capital Management; Technology Management.
CEU credits: 1.25
COMING SOON: Session begins at 10:00am EST on Friday, February 13, 2026
Date: 2/13/2026, 10:00 AM - 11:15 AM ET
This course examines how generative AI supports creativity, innovation, and workforce productivity. Participants will explore various generative AI tools and their applications for organizational advantage, such as content creation, design, and problem-solving. The course will cover the importance of applying safeguards to ensure transparency and fairness in the use of generative AI, addressing ethical considerations and potential biases. Participants will also evaluate use cases for generative AI in communications, analysis, and policy development, understanding how these technologies can enhance decision-making and strategic planning.
At the end of this seminar, participants will be able to:
Explore generative AI tools for organizational advantage.
Apply safeguards to ensure transparency and fairness.
Evaluate use cases for communications, analysis, and policy.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Leading Change; Creativity and Innovation; Results Driven; Accountability; Entrepreneurship; Business Acumen; Strategic Thinking; Technology Management
CEU credits: 1.25
At the end of this seminar, participants will be able to:
Explore generative AI tools for organizational advantage.
Apply safeguards to ensure transparency and fairness.
Evaluate use cases for communications, analysis, and policy.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Leading Change; Creativity and Innovation; Results Driven; Accountability; Entrepreneurship; Business Acumen; Strategic Thinking; Technology Management
CEU credits: 1.25
COMING SOON: Session begins at 8:30am EST on Friday, February 13, 2026
Date: 2/13/2026, 8:30 AM - 9:45 AM ET
This course focuses on the practical uses of machine learning to optimize operations and enhance decision-making processes. Participants will gain a comprehensive understanding of various machine learning models and their applications, including supervised and unsupervised learning, neural networks, and deep learning. The course will cover the evaluation of appropriate use cases for machine learning in both government and industry settings, highlighting real-world examples and case studies. Additionally, participants will assess data and ethical considerations, such as data privacy, bias, and fairness, to ensure responsible and effective implementation of machine learning technologies.
At the end of this seminar, the participants will be able to:
Understand machine learning models and applications.
Evaluate appropriate use cases for government and industry.
Assess data and ethical considerations.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Business Acumen; Leading Change; Strategic Thinking; Problem Solving; Technical Credibility; Technology Management
CEU credits: 1.25
At the end of this seminar, the participants will be able to:
Understand machine learning models and applications.
Evaluate appropriate use cases for government and industry.
Assess data and ethical considerations.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Business Acumen; Leading Change; Strategic Thinking; Problem Solving; Technical Credibility; Technology Management
CEU credits: 1.25
COMING SOON: Session begins at 3:00pm EST on Thursday, February 12, 2026
Date: 2/12/2026, 3:00 PM - 4:15 PM ET
This course provides a comprehensive foundation in artificial intelligence concepts and applications relevant to senior leaders. Participants will explore the different types of AI, including machine learning, natural language processing, and computer vision, and understand their various applications across industries. The course will cover the potential organizational benefits and risks associated with AI adoption, such as improved efficiency, enhanced decision-making, and ethical considerations. Participants will also learn how to build a framework for AI adoption within their organizations, including steps for implementation, change management, and continuous improvement.
At the end of this seminar, the participants will be able to:
Differentiate types of AI and their applications.
Evaluate potential organizational benefits and risks.
Build a framework for AI adoption.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Business Acumen; Leading Change; Strategic Thinking; Problem Solving; Technical Credibility; Technology Management
CEU credits: 1.25
At the end of this seminar, the participants will be able to:
Differentiate types of AI and their applications.
Evaluate potential organizational benefits and risks.
Build a framework for AI adoption.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Business Acumen; Leading Change; Strategic Thinking; Problem Solving; Technical Credibility; Technology Management
CEU credits: 1.25
COMING SOON: Session begins at 1:30pm EST on Thursday, February 12, 2026
Date: 2/12/2026, 1:30 PM - 2:45 PM ET
This course explores how artificial intelligence, and digital tools can be leveraged to optimize workforce performance, strengthen employee engagement, and drive organizational innovation. Participants will delve into various AI technologies that enhance human capital, such as machine learning algorithms for talent management, AI-driven performance analytics, and intelligent automation tools. The course will also cover strategic workforce planning, including how to forecast future workforce needs and align AI initiatives with organizational goals. Additionally, participants will develop frameworks for integrating emerging technologies while maintaining diversity and inclusion within the workplace.
At the end of this seminar, the participants will be able to:
Identify digital technologies that enhance human capital.
Explore AI’s role in strategic workforce planning.
Develop frameworks for integrating emerging technology while maintaining inclusion.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Strategic Thinking; Problem Solving; Technical Credibility; Technology Management; Continual Learning, Business Acumen; Leading Change
CEU credits: 1.25
At the end of this seminar, the participants will be able to:
Identify digital technologies that enhance human capital.
Explore AI’s role in strategic workforce planning.
Develop frameworks for integrating emerging technology while maintaining inclusion.
Who Should Attend: Supervisors, managers, and employees who want to explore advancements in the A.I. field opportunities.
Assessed ECG SES Standards: Strategic Thinking; Problem Solving; Technical Credibility; Technology Management; Continual Learning, Business Acumen; Leading Change
CEU credits: 1.25
