Generative AI Mastery for Decision Makers and Strategists

Elevate your decision-making with our expert-led Generative AI course, tailored for leaders looking to integrate AI-driven solutions and boost strategic initiatives.

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Essential Skills Gained

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Understand the fundamentals of Generative AI and its business impact.

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Identify and evaluate potential AI use cases for your industry.

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Manage AI projects from conception to deployment with confidence.

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Develop strategies for data security and AI system safeguarding.

Format

  • Instructor-led
  • 1 days with lectures and hands-on labs.

Audience

  • Executives and Leaders
  • Project and IT Managers
  • Business Analysts
  • Strategic Architects

Description

Step into the dynamic world of Generative AI with our intensive course designed for professionals making pivotal decisions. Navigate complex AI technologies, assess strategic business value, and implement AI initiatives effectively. Join seasoned experts as they unveil practical, real-world applications, and empower you to drive transformative AI projects within your organization. Learn critical skills like securing AI systems and leveraging data effectively, positioning your team at the forefront of innovation.

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Upcoming Course Dates

September 17-17, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$995

November 13-13, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$995

Course Outline

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Introduction to AI in Business

  1. AI technologies transforming modern businesses

  2. Why AI is crucial for today's business environment

  3. Return on investment with AI

  4. Brief on AI ethics and regulations

  5. Integrating AI across business units

  6. Core elements of an AI-powered business

  7. Case studies of AI-powered business transformations

Understanding Generative AI: Evolution and Business Impacts

  1. Overview and history of Generative AI

  2. Defining Generative AI: How it functions

  3. Business benefits and opportunities with Generative AI

  4. Successful case studies of Generative AI

Applying Generative AI: Use Cases and Practical Implementation

  1. Spotting industry-specific AI applications

  2. Real-world Generative AI problem-solving scenarios

  3. Frameworks for assessing AI project viability

  4. Healthcare sector analysis of AI ROI

Building the Foundation: Tech and Data Considerations

  1. Technical infrastructure for Generative AI

  2. Data prerequisites and management strategy

  3. Selecting optimal AI models

Securing and Sustaining Your AI

  1. Fundamentals of AI and data security

  2. Protecting AI systems best practices

  3. Roles essential for maintaining secure AI

  4. Privacy and responsibility in AI decisions

  5. Ethical and legal AI use considerations

Managing AI Projects Efficiently

  1. Blueprint for AI project planning and oversight

  2. Ensuring AI solutions are validated and robust

  3. Deployment and long-term oversight of AI systems

  4. Healthcare AI application case study

  5. Ensuring scalability and sustainability

Success Benchmarks for AI Initiatives

  1. Measuring project success with KPIs

  2. Assessing AI effectiveness and returns

  3. Continuous improvement lessons for AI

Assembling Your AI Dream Team

  1. Key roles and skills needed for AI teams

  2. Hiring vs training decisions

  3. Collaboration and performance metrics setup

  4. Managing remote AI teams effectively

Looking Beyond: AI Trends and Next Steps

  1. Emerging trends in Generative AI

  2. Keeping pace with AI advancements for competitive advantage

  3. Closing session and Q&A

Your Team has Unique Training Needs.

Your team deserves training as unique as they are.

Let us tailor the course to your needs at no extra cost.