While a multitude of factors can go into the making of a successful person, nearly all individuals who achieve high levels of personal and professional success have a keen sense of self-awareness. In this course, learn how to become more self-aware in order to develop yourself personally and enhance career progression. Organizational psychologist Gemma Roberts helps you learn how to develop your self-awareness so that you can understand how others see you, and better align your actions with your intentions. She explains how to identify beliefs to enhance self-awareness, step outside of yourself to gain a different perspective, leverage a self-awareness action plan, and more.
Interested in taking your training program to the online space? In this course, join instructor Samantha Calamari as she steps through how to design engaging elearning content that connects with a diverse set of participants. To begin, Samantha helps you determine if elearning is the right approach for your training program. She then acquaints you with key instructional design methods and theories, explaining how to apply them in your design process. Next, she shows how to organize the learning experience and design content that effectively delivers information to learners. Discover how to approach tone and engagement, create an active learning environment, design assessments that enrich your learner's experience, and more.

Computer scientists are just a small slice of people working in artificial intelligence (AI). Most people working with AI are just like you. They’re professionals, teachers, and students who want to use AI to enhance their products, creativity, and career. AI has been around for over half a century. Despite huge advancements in predictive and generative AI, the core concepts of artificial intelligence are still accessible.

This course is designed for project managers, product managers, directors, executives, and students starting a career in AI. First, learn what it means for a system to display “intelligence.” Then, explore the difference between classic predictive AI and newer generative AI. Next, you’ll get an overview of machine learning algorithms, artificial neural networks, foundation models, and deep learning. From the AI curious to the AI careerist, this course will help you get started with intelligent systems.