Data and AI Fundamentals
About this Course
Artificial Intelligence is everywhere. Organizations are increasingly adopting AI as a way to enable data-driven decision making, and as a great source of automated predictions that will potentially generate interesting savings or new sources of revenue. Even our personal devices such as smartphones or voice assistants are already leveraging AI technologies. However, the level of AI maturity within the companies varies a lot, as well as the needs for AI-savvy professionals. Reality is that not everyone needs to be an AI expert or a data scientist. Companies need other kinds of profiles for which at least AI knowledge is required, such as product managers or top executives managing innovation initiatives. This course is designed to give you an introduction to the amazing world of Artificial Intelligence. It offers a very pragmatic overview of AI fundamentals, accessible to both technical and non-technical audiences. This course provides an entrance to the amazing Linux Foundation AI & Data ecosystem, which will be very useful for people looking for relevant open source tools or areas to get involved to continue developing new data and AI skills. Data and AI Fundamentals is geared towards professionals and students looking for new AI skills, including company executives, hiring managers, product managers, and developers. This course would also be beneficial for industry professionals coming from diverse industries such as finance, supply chain, manufacturing, and other verticals. It examines the different kinds of AI technologies (e.g., machine learning, NLP). It discusses how to enumerate typical AI use cases for a variety of industries and identifies potential AI career opportunities. Learn to navigate the rich set of Linux Foundation AI & Data open source projects and tools throughout the course. This course prepares students with the ability to identify the different options available from the family of AI technologies. Upon completing this course, you will be able to choose suitable AI techniques depending on the business needs and leverage existing AI projects and tools from the LF AI & Data ecosystem.Created by: The Linux Foundation
Level: Introductory

Related Online Courses
Software engineering operates ever more frequently in globally distributed settings, in a practice that is known as Globally Distributed Software Engineering (GDSE). In this course, you will obtain... more
"Introduction to WebAssembly" is designed for web, cloud, and blockchain developers, architects, and CTOs interested in learning about WebAssembly’s strengths and limitations, and its potential a... more
The third and the final course in the DevOps series will teach how to use AWS Services to control the architecture in order to reach a better operational state. Monitoring and Operation are key... more
Le Design UX c'est plus que de l’idéation : c’est avoir des idées centrées sur l'utilisateur, ancrées dans le contexte technologique et d’affaires unique à son client. Le Design UX est le moment ... more
Security should be your first priority when developing cloud native applications. The goal of this course is to provide you with foundational knowledge and skills that will enable you to grow in... more