Generative AI for Data Workflows

Are you a data professional looking to harness the power of artificial intelligence to optimize your daily tasks? Generative AI offers revolutionary ways to streamline data workflows, from preparation to insights generation. This course will guide you through the principles and practical applications of generative AI, enabling you to integrate these powerful models into your data processes for enhanced efficiency and deeper analytical capabilities. What you'll learn: Understand the core concepts and capabilities of generative AI models. Apply prompt engineering techniques to guide AI for data manipulation and analysis. Learn how to leverage generative AI for tasks like data cleaning, transformation, and summarization. Explore Retrieval-Augmented Generation (RAG) patterns to ground AI responses in your specific datasets. Design effective strategies for integrating generative AI tools into existing data pipelines. Practice evaluating and refining AI-generated outputs to ensure data accuracy and relevance. The course begins with foundational knowledge of generative AI, then progresses to practical methods for applying these models to common data challenges. You will learn to integrate AI capabilities into your workflows and refine their performance. This course is designed for beginners in data science, data analysis, or anyone working with data who wants to incorporate generative AI into their skill set. No prior experience with artificial intelligence or advanced programming is required. Start your journey to becoming a data professional adept at leveraging generative AI.