Gen AI Fundamentals (en)
The course is designed to provide a comprehensive understanding of the fundamentals of generative artificial intelligence.
During the course, students will explore a number of key topics, including the basic concepts of Gen AI, design and development techniques, and strategies for evaluating the performance of Gen AI models.
Through a combination of theoretical lectures, hands-on exercises and case studies, participants will gain practical skills to create, implement and evaluate Gen AI models in various application contexts. The course will also explore crucial issues such as bias and fairness in Gen AI systems, providing students with tools and knowledge to address these challenges effectively and ethically. Upon completion of the course, participants will be able to develop basic Gen AI applications and understand their potential impact on various industries and sectors.
CODE: DSAI203
Category: Artificial Intelligence
Teaching methodology
The course includes educational laboratories in which each student will be able to work in order to complete training exercises that will provide practical experience in using the instrument, for each of the topics covered during the course.
Prerequisites
- Familiarity with programming languages such as Python
- Experience with software application design and development
The following is an overview of course content:
- First Steps with GenAI
- Prompt Engineering
- Interactive Conversations with LLM
- Understanding Bias and Fairness
- Building a Simple GenAI Application
- Evaluating and Improving the Application
At the end of the course, participants will obtain:
- Fundamental concepts of Generative AI.
- Prompt engineering techniques for Generative AI.
- Ability to conduct interactive conversations with LLMs.
- Understanding of the concepts of bias and fairness in AI.
- Skill in creating a simple application based on Generative AI.
- Skills in evaluating the performance of Generative AI models.
Duration – 1 day
Delivery – in Classroom, On Site, Remote
PC and SW requirements:
- Internet connection
- Web browser, Google Chrome
- Zoom
Language
- Instructor: English
- Workshops: English
- Slides: English
