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Data and AI Fundamentals (LFS115x) Course Overview

Data and AI Fundamentals (LFS115x) Course Overview

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.

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Course Prerequisites

Prerequisites for Data and AI Fundamentals (LFS115x) Course

To ensure a successful and enriching experience in the Data and AI Fundamentals (LFS115x) course, students should meet the following minimum prerequisites:


  • Interest in AI and Data Fundamentals: A genuine curiosity about Artificial Intelligence and data science concepts.
  • Basic Computer Skills: Familiarity with using a computer, navigating the internet, and basic software applications.
  • Eager to Learn: An open mind and the enthusiasm to explore new technologies and concepts in the field of AI and data.

No prior technical background or experience in AI is required for this course. It is designed to be accessible to learners from diverse backgrounds, both technical and non-technical.


Target Audience for Data and AI Fundamentals (LFS115x)

Data and AI Fundamentals (LFS115x) is a comprehensive one-day introduction to AI fundamentals, suitable for both technical and non-technical audiences interested in the Linux Foundation AI & Data ecosystem.


  • IT Managers
  • Data Analysts
  • Software Developers
  • Product Managers
  • Business Analysts
  • Project Managers
  • Students in Computer Science and Information Technology
  • Non-technical Managers
  • Technology Enthusiasts
  • Consultants


Learning Objectives - What you will Learn in this Data and AI Fundamentals (LFS115x)?

Introduction

The Data and AI Fundamentals (LFS115x) course is a comprehensive introduction to Artificial Intelligence designed to be accessible to both technical and non-technical audiences. It covers essential AI concepts and the Linux Foundation AI & Data ecosystem, providing a solid foundation for further learning.

Learning Objectives and Outcomes

  • Understand the basics of Artificial Intelligence and its historical context
  • Identify various applications and use cases of AI in different industries
  • Become familiar with key AI-related topics such as machine learning, deep learning, and neural networks
  • Explore the LF AI & Data Foundation and its role in the open-source AI community
  • Learn about the various open-source tools and projects supported by LF AI & Data
  • Gain insight into the ethical considerations and challenges in the field of AI
  • Develop a high-level understanding of data handling and preprocessing techniques for AI
  • Discover opportunities for further learning and involvement in the AI and data ecosystem
  • Recognize the importance of interdisciplinary skills in AI development and implementation
  • Get acquainted with the global community and collaboration efforts driving AI advancements through the Linux Foundation

This course provides a well-rounded overview of AI fundamentals, making it an excellent starting point for anyone interested in artificial intelligence.

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