Generative AI for Data Engineering and Data Professionals

Note: this is as practical hands-on-keyboard course on how to use Generative AI in Data Engineering (and as a Data Professional). We will be using Python, OpenAI API, and Jupyter Notebooks to write and execute code.Generative AI is changing the game in data and data engineering for two reasons:Do tasks faster - Data professionals who use Generative AI complete tasks 16% faster. This increases to more then 45% if you code / analyze data on a day-to-day basisDo new tasks - Generative AI enables data engineers and analysts to do so much more. In fact, some tasks like extracting features / insights from unstructured data or augmenting textual data is now only possible with Gen AI.This is why GenAI is revolutionizing each step of the data engineering lifecycle. It doesn't matter if you're a data analyst, data scientist, data engineer, data professional, or data manager - you need to learn how to embed Generative AI in your day-to-day workflows.That's what this course is all about - to make you more powerful and productive as a data professional with Generative AI.Learn from more than 5.5 hours of relevant instructional video content, with the only course that will practically teach you the different ways that Generative AI is impacting the data engineering and data professional lifecycle, and then apply that to real-life end-to-end examples.What is this course all about?This course is all about how you can practically embed Gen AI into your day-to-day workflows as a Data Engineer or Data Professional. It's a deep practical guide on how Generative AI is revolutionizing each step of the data engineering lifecycle, making you more productive and powerful. This is a technical and pra