Training > AI/Machine Learning > Data and AI Fundamentals (LFS115x)
Training Course

Data and AI Fundamentals (LFS115x)

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.

Who Is It For
This course 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.
read less read more
What You’ll Learn
This course 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.
read less read more
What It Prepares You For
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.
read less read more
Course Outline
Welcome to LFS115x!
Chapter 1. Introduction to Artificial Intelligence
Chapter 2. Related AI Topics
Chapter 3. LF AI & Data Foundation
Final Exam (Verified track only)
Prerequisites
Reviews
Dec 2024
Overall, this course provides a great introduction to AI and data-related topics, covering both technical concepts and ethical considerations. The content is well-structured, with clear explanations and practical examples that make complex ideas easier to understand. I appreciate the emphasis on real-world applications and emerging trends like MLOps and data-centric AI.
Jun 2024
The course offers a broad introduction to data science and artificial intelligence, covering key concepts, tools, and techniques.
Mar 2024
The structure and materials were put together by Professor Gonzáles Sánchez, who was also my instructor at an online course I took on blockchain at MIT. When I saw his name on LinkedIn heading this course at edX through LF, I rushed to join, and I am very satisfied with the outcome.
Feb 2024
Notes are specific and on point. Easy navigation.
Jan 2024
Content and level of detail. Nice "starter" course for this info.
Includes
Online, Self Paced
4-5 Hours of Course Material
Graded Quizzes (for paid certificate only)
Discussion Forums
10 Weeks of Free Access to Online Course (Audit Mode)
Optional Paid Certificate of Completion
Course Rating
4.3/5 Stars
Experience Level: Beginner
Training more than 10 people?Get a corporate quote.