Generative AI for Executives
- Created By ebrahim khaja
- Posted on September 25th, 2024
- Overview
- Prerequisites
- Audience
- Curriculum
Description:
As industries undergo rapid digital transformation, Generative AI especially Generative Adversarial Networks (GANs)—is at the forefront of innovation. This course, "Generative AI for Executives," is crafted for senior leaders and decision-makers who want to grasp the strategic impact of this cutting-edge technology on their organizations.
Duration: Half Day
Course Code: BDT376
- Basic Understanding of AI and Machine Learning
- Familiarity with Industry Challenges
- Experience in Business Strategy or Management
The course is designed for individuals in leadership positions who are responsible for making strategic decisions about technology investments and innovations, ensuring that they are well-equipped to harness the potential of Generative AI in their organizations. C-Suite Executives, Product Managers, Business Development Executives, Compliance and Risk Management Executives.
Course Outline:
Module 1: Introduction to Generative AI
- What is Generative AI?
- Key Concepts and Terminology
- Differences Between Generative and Discriminative Models
- Current Trends and Market Landscape
- Industry Use Cases (e.g., marketing, product development, customer support)
Module 2: Understanding the Technology Behind Generative AI
- Overview of AI and Machine Learning
- Deep Learning Fundamentals
- Generative Models: GANs, VAEs, and Transformers
- How These Technologies Work: Basic Mechanics and Frameworks
- Challenges and Limitations of Generative AI Technologies
Module 3: Strategic Applications of Generative AI
- Content Creation and Marketing Automation
- Product Design and Prototyping
- Data Augmentation and Synthetic Data Generation
- Customer Interaction and Personalization
- Case Studies of Successful Implementations
Module 4: Ethical Considerations and Risk Management
- Ethical Implications of Generative AI
- Data Privacy and Security Concerns
- Bias and Fairness in AI Models
- Regulatory and Compliance Considerations
- Strategies for Responsible AI Implementation
Module 5: Implementing Generative AI in Your Organization
- Assessing Organizational Readiness for AI
- Building a Cross-Functional AI Team
- Setting Clear Goals and KPIs for AI Initiatives
- Technology Selection and Vendor Management
- Change Management and Training Strategies
Module 6: Future Trends and the Evolving Landscape of Generative AI
- Current Research and Development Trends
- Future Applications of Generative AI
- The Role of AI in Digital Transformation
- Preparing for Disruption and Staying Competitive
