Data and AI Fundamentals
Learn the fundamentals of Artificial Intelligence, combining AI basics with Linux Foundation's ecosystem. Perfect for professionals seeking AI knowledge.
Learn the fundamentals of Artificial Intelligence, combining AI basics with Linux Foundation's ecosystem. Perfect for professionals seeking AI knowledge.
This comprehensive course introduces the fundamentals of Artificial Intelligence, designed for both technical and non-technical professionals. It provides a practical overview of AI technologies, their applications, and the Linux Foundation AI & Data ecosystem. The course caters to diverse professionals, from executives to developers, offering insights into machine learning, NLP, and industry-specific AI applications. Students learn to identify appropriate AI technologies for business needs, understand various use cases across industries, and navigate open-source AI tools. The curriculum emphasizes practical knowledge and real-world applications, making AI concepts accessible regardless of technical background. Special focus is placed on exploring the Linux Foundation's rich ecosystem of AI and data projects, preparing participants to leverage these resources effectively.
4.2
(11 ratings)
Instructors:
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What you'll learn
Understand different types of AI technologies including machine learning and NLP
Identify and analyze AI use cases across various industries
Navigate the Linux Foundation AI & Data open source projects and tools effectively
Evaluate suitable AI solutions for specific business needs
Explore potential AI career opportunities in different sectors
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
This course provides a comprehensive introduction to Artificial Intelligence fundamentals and the Linux Foundation AI & Data ecosystem. The curriculum covers various AI technologies, including machine learning and natural language processing, along with their practical applications across different industries. Students learn to identify appropriate AI solutions for business needs, understand key use cases, and navigate open-source AI tools and projects. The course emphasizes practical knowledge and real-world applications, making complex AI concepts accessible to both technical and non-technical audiences.
Welcome!
Module 1
Chapter 1. Introduction to Artificial Intelligence
Module 2
Chapter 2. Related AI Topics
Module 3
Chapter 3. LF AI & Data Foundation
Module 4
Final Exam (Verified Certificate track only)
Module 5
Fee Structure
Instructor
1 Course
Distinguished AI Specialist and Technology Education Leade
Adrian Gonzalez Sanchez serves as the Data & AI Lead for Public Sector and Health at Microsoft Spain, bringing over 12 years of experience in data science, AI implementation, and technology education. His expertise spans cloud computing, responsible AI, and data governance, with significant contributions to the Linux Foundation's Trusted AI Committee and the Spanish Observatory OdiseIA. As an educator, he holds faculty positions at HEC Montréal's École des Dirigeants and IE University, while also serving as an instructor for prestigious institutions including O'Reilly Media, the Linux Foundation, and MIT Sloan. His professional experience includes leadership roles at Peritus.ai, CGI Canada, and IVADO Labs, where he specialized in AI strategy and implementation. He currently focuses on Generative AI initiatives, responsible AI systems, and data space architectures, while contributing to executive education programs at MIT Sloan (AI and Blockchain) and Harvard VPAL (Fintech)
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4.2 course rating
11 ratings
Frequently asked questions
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