Generative AI Series: Generative AI Essentials

Description:

This session aims to provide participants with a foundational understanding of Generative AI, exploring key concepts and practical applications.

Session Description:

This session aims to provide participants with a foundational understanding of Generative AI, exploring key concepts and practical applications. The course covers essential topics such as Introduction to Generative AI, Prompt Engineering, Do's and Don'ts of Generative AI, and Applications of Generative AI. Through a combination of theoretical insights and hands-on examples, participants will gain a comprehensive overview of how Generative AI functions, its potential applications, and ethical considerations when working with these powerful models.

Course Code: BDT322

Duration: Half Day

Learning Objectives:

After this course, participants will have the opportunity to:

• Acquire a solid understanding of the fundamental concepts behind Generative AI, including its historical context and evolution, setting the stage for further exploration.
• Learn the art of prompt engineering, gaining practical insights into how to guide Generative AI models to produce desired outputs
• Develop a heightened awareness of the ethical considerations associated with Generative AI

• Participants should have a basic familiarity with artificial intelligence concepts and a general understanding of how machine learning models operate. Familiarity with common AI terminology will be beneficial but is not mandatory.

• This course is suitable for professionals from diverse backgrounds, including but not limited to software developers, data scientists, product managers, marketers, and decision-makers interested in exploring the capabilities of Generative AI.

• This course is suitable for professionals from diverse backgrounds, including but not limited to software developers, data scientists, product managers, marketers, and decision-makers interested in exploring the capabilities of Generative AI.

Course Outline:

• Overview of Generative AI and its role in artificial intelligence.
• Brief history and evolution of Generative AI models.
• Understanding the fundamental concepts of generative models.
• Importance of prompts in guiding Generative AI models.
• Strategies for effective prompt engineering.
• Hands-on exercises to experiment with different types of prompts.
• Ethical considerations and responsible use of Generative AI.
• Real-world applications in various industries (e.g., text generation, image synthesis).
• Case studies highlighting successful implementations.