If you’re new to AI or a beginner looking to increase your use of AI in knowledge work, this class is for you! It is designed for anyone interested in how AI works and the many ways it is transforming the way we work and create. From business professionals to creatives to leaders, this course will give you the tools to understand and harness the power of Generative AI for both creative and analytical work. We’ll discuss how Machine Learning and Deep Learning are essential to AI and we’ll review how neural networks are trained. You’ll learn how to select the right AI tools, and review real-world examples of using AI for creative tasks like generating social media posts and presentations, as well as critical thinking tasks like creating a lesson plan or analyzing data.

You’ll explore different ways to apply AI in everyday work. From brainstorming and troubleshooting code to creating blog posts and project timelines, this course will give you hands-on experience with popular AI tools including ChatGPT and Claud. We’ll also dive into important challenges like AI bias, transparency, and data privacy. Finally we’ll discuss the future of AI in the workplace. By the end of this course, you’ll not only be proficient in using AI tools, but you’ll also be better equipped to navigate the rapidly changing world of work as AI continues to evolve.

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If you currently work as a data professional or are looking to land a role in the field, you need to build a foundational understanding of AI concepts, techniques, and tools in order to truly leverage AI and ML effectively. Join instructor Sadie St. Lawrence to learn how to optimize data-driven decision-making processes within your organization by developing in-demand AI and ML skills. Get equipped with essential knowledge for data professionals to stay relevant and competitive in this ever-evolving field, as AI continues to transform the way we work with and understand the value of data. Explore popular tools such as PyTorch, scikit-learn, Keras, XGBoost, and Hugging Face as well as core concepts in data and feature engineering, machine learning, AI ethics, and more.

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This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables.

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