Artificial Intelligence Literacy

Learn "how to apply prompt engineering to effectively work with large language models, like ChatGPT"; "how to use prompt patterns to tap into powerful capabilities within large language models"; and "how to create complex prompt-based applications for your life, business, or education" with this free self-paced course available through Coursera.

"Learn prompt engineering best practices for application development. Discover new ways to use LLMs, including how to build your own custom chatbot. Gain hands-on practice writing and iterating on prompts yourself using the OpenAI API."

"As you explore how AI is used in the real world (recommender systems, computer vision, self-driving etc.) you will also begin to build an understanding of Neural networks and the types of machine learning including supervised, unsupervised, reinforcement etc. You will also see (and experience) what programming AI looks like and how it is applied."

"Define and discuss big data opportunities and limitations. Work with IBM Watson and analyze a personality through Natural Language Programming (NLP). Examine how AI is used through case studies. Examine and discuss the roles ethics play in AI and big data."

"You'll cover ethics and risks of AI, designing governance frameworks to fairly apply AI, and also cover people management in the fair design of HR functions within Machine Learning. You'll also learn effective marketing strategies using data analytics, and how personalization can enhance and prolong the customer journey and lifecycle."