Executive Education
Seminars. Workshops. Master Classes.
Artificial Intelligence (AI) Seminar for Managers
Artificial
Intelligence (AI) for Business & Government Managers
Training Model: | Action Learning Seminar and Workshop |
Seminar Venue: | USA West (Jan to Dec): Las Vegas. Los Angeles. San Francisco.
Seattle. USA East (Jan to Dec): Chicago. Houston. Miami. New York. Washington, DC. Europe (June to Oct): Amsterdam. Barcelona. Dublin. Frankfurt. London. Paris. Rome. Vienna. Warsaw. Zurich. Asia Pacific: Bangkok. Singapore. Tokyo. Sydney. Ask for on-demand and unlisted course venues. |
Seminar Duration: | 5 days (2-day Seminar + 3-day project) |
Seminar Times: | 9:30 AM - 3:30 PM |
Seminar Dates: |
Executive Education Calendar Ask for on-demand and unlisted course dates. |
Seminar Fees: | $9,999 |
Group Discounts: | 5% for 2 delegates. 10% for 3 or more delegates. Government and non-profit delegates receive up to 15% discount for 4 or more delegates. Valid only for Las Vegas venue. |
Seminar Options: | Available on client site for a group of 5 or more delegates.
For customization of Seminar topics, duration, or one-to-one coaching, please contact us. |
Seminar Advantage: | Client Testimonials. Education Excellence. CEO Club. Thought Leadership |
Registration: | Apply. |
Seminar Audience
Business and government managers and administrators, including finance managers, accounting managers, operations managers, HR managers, marketing and sales managers, project managers, team leaders, entrepreneurs, management consultants, and legal advisors.
If you are a senior government leader, CEO, or senior executive, consider another Artificial Intelligence (AI) Strategy Seminar for Executives that focuses on AI business strategy, planning and governance
Note: This advanced seminar is designed for government and business professionals. We do not accept students seeking initial employment, postsecondary education, or initial licensing programs
Seminar Objectives
Provide 360-degree view of the Artificial Intelligence (AI) types and their applications
Offer experiential analysis of the challenges managing in implementing AI systems in their organizations
Discuss business and managerial insights from the world's most advanced Artificial Intelligence (AI)applications
Review the Artificial Intelligence (AI) frameworks, best practices, analysis, and decision-making models for implementing high-performance business operations
Explore hands-on /demo applications of various artificial intelligence (AI) in business context
Seminar Focus
Develop managerial skills and competencies in identifying and deploying artificial intelligence (AI) applications in business organizations or government agencies with emphasis on improving organizational performance.
Seminar Modules
Foundational Knowledge: Simplified Introduction (Quickoverview) to Data Science, Predictive Analytics, Big Data, Artificial Intelligence (AI) and Machine Learning, and Large Language Models (LLM)
AI Practical Applications and Demo: How to use Prompt Engineering to improve productivity and the accuracy of AI output
AI Implementation Framework:
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How to gain a strategic business advantage through the use of different AI Apps.
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Evaluate the applications of AI in business and government applications
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Evaluate the impact of AI on the future of work and business models.
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What is needed to build an AI system for your organization
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Develop a roadmap for implementation
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AI Training & Education Framework
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AI Risk Management Framework
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AI Data Use & Security Framework
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AI Model Assurance Framework
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Seminar Topics
Top AI executive questions answered in the Seminar
Introduction to AI Module
- What is Artificial Intelligence (AI)? What are its capabilities and limitations?
- How does AI compare to human intelligence? In what way it is superior and in what way it is inferior?
- What are the limitations of current AI generations vs. next generation AI?
- What are the different types of AI?
- What are generative AI applications? What are its capabilities and limitations?
- What are multi-modal AI applications? What are its capabilities and limitations?
- What large language models (LLM)? What are their capabilities and limitations?
- What is machine learning? What are its capabilities and limitations?
- What are the different applications of AI in business and government sectors?
- Practical demos of AI applications
AI Live Demos
- Multi-Modal AI Applications, API Integration and Demos
- Prompt Engineering
AI Implementation Management Modules
- Planning and project management of AI system implementation.
- What is the AI Value Chain - What does it take to build a complete AI system?
- How much can AI save time, labor, cost, and errors?
- How can AI generate insights from big data, personalize user experiences, and streamline business processes and improve creativity and innovation?
- How will AI change R&D, production and delivery of products and services, and customer support and productivity in general?
- Do you need government and business process re-engineering to implement an effective AI system?
- How much data and what type of data is needed for AI training?
- How much time it take to train an AI system?
- How much does it cost to build an in-house AI system vs. buying external AI services?
- Who the top AI application and platform vendors?
- How to manage the product life cycle (PLC) of AI in business?
- How to manage enterprise data privacy when using outsourced AI platforms?
- How does AI impact data centers, power usage and real estate?
- What skills are needed to implement an enterprise AI?
- How to overcome the limitations of AI, including designing an effective data architecture, ensure enough quality datasets, mitigate biases & decision errors?
- How critical thinking & design thinking training can help with AI effectiveness?
- What are the cultural, ethical, legal, intellectual property (IP) and copyright dimensions of AI projects and data training?
- How to audit AI algorithms and models for reliability and trust?
To learn more about AI best practices research, please visit AI Think Tank page
Seminar Model
Experiential action learning
25%-50% Seminar and 50-75% experiential project work
The development of management skills is based on KASAC executive education and management Seminar model
Corporate Seminars Customization & Management Consulting (Additional Fee)
Sample / Demo applications of AI in finance, accounting, HR, compliance, law, marketing, design, software programming and development and other aspects of business and organizational operations
How to evaluate AI systems and providers?
Top AI Applications and Tools (Customization Options)
Review of leading Artificial Intelligence AI applications their benefits and limitations: Open AI's ChatGPT. Google Bard & Gemini. Microsoft Copilot. Chatsonic. Midjourney. DALL-E. SlidesAI. Alli AI. Hubspot Free AI Content Writer. Paradox. Synthesia. aiXcoder. TabNine. DeepBrain AI. SecondBrain. Textio. Wordtune. Figstack. Descript. INK. LyricStudio. ClickUp. Canva: AI Slide Creator. GitHub Copilot. Designs.ai. Copyleaks. DeepDream. Writer.ai. Pikazo. Divi Ai.
Courseware Content (Customized)
The Executive Leadership courseware includes the following:
Participant's Seminar guide
Subject matter handbook and lecture notes
Executive summary of the subject matter:
Summary of essential concepts and leadership best practices
Examples and case studies
AI management toolkit (management frameworks, decision-models, and checklists)
Executive career assessment project
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Seminar Customization By Industry - Optional Customization (For Group Seminars):
The artificial intelligence (AI) seminars, demos, and case studies can be customized to each industry, including: AI for government and public sector management; AI for justice administration and legal professional services, AI for banking, insurance and financial services management, investment and asset management; AI energy, utilities, oil and gas management, trade and retail management, education management; AI for healthcare, pharmaceutical, hospital management; AI for construction management, real estate management, agriculture and fishery management, food and restaurant management, telecommunication, transportation, freight and logistics management; AI for aerospace, automotive, and defense, airlines management; AI hospitality management, tourism, travel and leisure management, media management, and AI for manufacturing management.
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Performance Evaluation (Optional)
Performance evaluation is optional and can be evaluated on the basis of individual or team project deliverables
There are no Q&A exams or tests. Candidates can choose to complete customized experiential work-based projects such as developing a relevant analysis document, management strategy, action plan, or a senior management presentation
The course advisor will review the deliverables and provide improvement feedback. The evaluation is a form of management consulting and experiential coaching for performance improvement
USA, Canada, and Europe Seasonal Programs and Venues:
This executive education program is offered during the following months:
- Winter & Spring Seminars: December, January, February, March, April, and May in USA
- Spring & Summer Seminars: May, June, July, and August, September, and October in USA, Canada, and Europe
- Autumn & Winter: September, October, November, and December in USA
For dates or venues that are not listed the public calendar, please contact us
Executive Seminar Registration
Artificial Intelligence (AI) Seminar for Managers
- Accelerated workshop in-classroom (In-person)
- Experiential action-learning
- Requires seat reservation
- Executive Seminar Registration