What you'll learn:
Explore 2024-Relevant AI Topics, such as the Pillars of Responsible AI, Large Language Models, Generative AI, and More.
Grasp the Fundamental Concepts of Descriptive and Inferential Statistics through Practical Examples
Learn the Core Concepts of AI and Machine learning, such as the History of AI, Different Types of ML Models, and Many More (without detailed math or coding)
Understand the Main Evaluation Metrics for Machine Learning Models, Including Their Use Cases and Limitations. e.g How "Accuracy" is different than "Precision"?
Learn How to Consume Data Visualizations as an AI and Data-literate Business Professional. Learn "What Questions to Always Ask".
Included is a 60-page Data and Literacy Handbook, Ensuring You Can Focus on Learning without the Need for Extensive Note-taking

Requirements:
No prerequisites

Description:
Welcome to our Data and AI Literacy course, featuring over 90 minutes of engaging content across 23 bite-sized videos, carefully crafted quizzes, and a complimentary 60-page AI and Data Literacy handbook ( so that you don't have to take notes!)This course is tailor-made for business professionals without a data science background, eager to enhance their AI and data literacy.In today's data-driven world, the ability to understand and leverage AI and data is no longer a luxury but a necessity for business professionals.It covers foundational topics like Hypothesis Testing, Sampling Techniques, Distributions, Machine Learning Evaluation Metrics, and more.  Additionally, it addresses critical AI topics, including the principles of Responsible AI, Large Language Models, and more, ensuring you're well-versed in the most current and essential aspects of AI.This comprehensive approach empowers you to make informed decisions, be a valuable thought-partner to data teams, and maintain a competitive edge in the rapidly evolving job market landscape.This course is packed with numerous practical examples to solidify your understanding, while intentionally avoiding complex math and coding, making it accessible and immediately applicable in your professional life.Don't miss this opportunity to become proficient in the languages of the today and the future – data and AI.

Who this course is for:
Business professionals aiming to enhance their AI and data literacy with the latest topics.
Example: Executives, Product Managers, Project Managers, Marketing Managers, Data Enthusiasts, Educators and Trainers
Data analysts or junior data scientists who want to review some of the core concepts of AI, ML, and statistics to prepare for interviews.