This Course is designed for students at the Beginner level.
This Course has been rated by CoListy with a score based on our internal evaluation metrics.
This Course provides content in Visual format.
This Course awards a None upon successful completion of all learning tasks.
The “Generative AI Using SAS®” course is an exciting 7-hour program designed to introduce learners to the rapidly evolving world of Generative Artificial Intelligence (GenAI). This course is ideal for those looking to explore how GenAI can be leveraged for applications in business, government, and academia. The course is divided into several lessons, with each lesson taking about an hour to complete, offering flexibility to learn at your own pace.
Generative AI is a subfield of machine learning focused on creating models that can generate new data or content. In this course, participants will learn about different types of GenAI systems, including Synthetic Minority Oversampling Technique (SMOTE) and Generative Adversarial Networks (GANs). These systems are vital for creating synthetic data, which can be useful in balancing datasets, especially in cases of data scarcity. Additionally, learners will explore how to generate meaningful text using Large Language Models (LLMs), and enhance the accuracy of LLM outputs using techniques like Retrieval Augmented Generation (RAG).
Throughout the course, learners will delve into key topics such as the fundamentals of Generative AI, the different machine learning models, and their practical applications. They will also be introduced to cutting-edge technologies like GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers), which are crucial for processing and understanding natural language data.
A highlight of this course is the practical demos on using SMOTE and GANs within SAS Viya, providing learners hands-on experience in generating synthetic data and augmenting datasets. The course also covers the concept of Responsible AI, addressing the challenges of building trustworthy AI systems, and provides a comprehensive look at the AI and analytics life cycle.
By the end of this course, participants will have a clear understanding of the principles behind Generative AI and how to apply them using SAS tools to improve their data-driven initiatives.
