Understanding, Harnessing & Applying Generative AI for Decision Makers and Architects (TTAI2102)

Learning Objectives

Working in an interactive learning environment, led by our engaging AI expert, you will:

• Gain a solid understanding of Generative AI, its evolution, and its role in shaping innovative business solutions, positioning you to effectively drive AI initiatives in your organization.
• Acquire the ability to identify potential Generative AI use cases in your industry and evaluate their feasibility and value, empowering you to make informed decisions that can enhance business operations.
• Learn how to manage the lifecycle of an AI project efficiently, equipping you with the knowledge to guide projects from inception to successful deployment, with continuous monitoring and improvement.
• Develop an understanding of AI and data security best practices, along with the crucial role of data in Generative AI, fostering your ability to safeguard your AI systems effectively.
• Stay ahead of the curve by gaining insights into the upcoming trends and technologies in Generative AI, enabling you to maintain a competitive edge in your organization in this rapidly evolving field.

Audience

This introductory-level course is ideally suited for business professionals, decision makers, and architects who are eager to harness the power of Generative AI within their organization. Attendees roles would include Executives, Project Managers, Business Analysts, IT Leaders, Architects or anyone involved in strategic decision making or team building for AI projects.

Pre-Requisites

To ensure a smooth learning experience and maximize the benefits of attending this course, you should have the following prerequisite skills:

• A basic understanding of business operations and decision-making processes: This will aid in understanding the potential applications of Generative AI in solving business problems and improving efficiency.
• Familiarity with the principles of project management: As the course includes a component on managing the lifecycle of an AI project, having foundational knowledge in project management will be beneficial.
• Basic knowledge of data management: This can help in grasping the role of data in Generative AI, and the best practices for data security.

1. Understanding Generative AI: Its Evolution and Impacts

• Overview of Generative AI and its evolution
• Impacts and opportunities of Generative AI in business
• Real-world examples of successful Generative AI applications

2. Unpacking Use Cases: Where and How Can You Apply Generative AI

• Identifying potential use cases in your industry
• Practical examples of how Generative AI can solve business problems
• Frameworks for evaluating the feasibility and value of Generative AI projects

3. Key Considerations in Implementing Generative AI

• Understanding the technology stack behind Generative AI
• The role of data in Generative AI: requirements, preparation, and management
• How to choose the right AI model for your needs

4. Securing Your Generative AI

• Understanding AI and data security
• Best practices for securing Generative AI systems
• Responsible decision making: Role of privacy and ethics in Generative AI

5. Building Your AI Team: Who You Need

• Roles and skills required in a Generative AI project
• Considerations when hiring or upskilling your team
• Managing an AI project: Best practices and common pitfalls

6. Managing the Lifecycle of a Generative AI Project

• Planning and managing an AI project
• Testing and validating your AI system
• Deploying, monitoring, and maintaining your Generative AI solution
• Problem Solving Strategies for Pitfalls and Challenges in AI Implementation

7. Evaluating the Success of Your Generative AI Projects

• Key performance indicators (KPIs) for Generative AI projects
• Tools and techniques for measuring the effectiveness and ROI of AI
• Lessons learned and continuous improvement in AI

8. Future Trends in Generative AI

• What's next for Generative AI: upcoming trends and technologies
• Staying ahead: How to keep your organization competitive in the AI field
• Q&A and course wrap-up