Data and AI Fundamentals from edX

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.

What's inside

Learning objectives

Differentiate various kinds of ai technologies (e.g., machine learning, nlp)
Enumerate typical ai use cases for a variety of industries

Identify potential ai career opportunities
Navigate the rich set of linux foundation ai & data open source projects and tools

Differentiate various kinds of ai technologies (e.g., machine learning, nlp)
Enumerate typical ai use cases for a variety of industries
Identify potential ai career opportunities
Navigate the rich set of linux foundation ai & data open source projects and tools

Syllabus

Welcome!

Chapter 1. Introduction to Artificial Intelligence

Chapter 2. Related AI Topics

Chapter 3. LF AI & Data Foundation

Final Exam (Verified Certificate track only)

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Appropriate for students with diverse industry and academic backgrounds, including those in finance, supply-chain management, manufacturing, and other verticals

Teaches learners how to identify the right AI techniques for their business needs, which is a valuable skill in today's business environment

Provides learners with the opportunity to leverage existing AI projects and tools from the LF AI & Data ecosystem

Taught by instructors from the Linux Foundation AI and Data team, who have experience and expertise in AI technologies

Introduces learners to the field of AI with an overview of its fundamentals

Provides a practical overview of AI fundamentals that is accessible to non-technical audiences, which is a sought-after skill in the industry today

Career center

Learners who complete Data and AI Fundamentals will develop knowledge and skills that may be useful to these careers:

Data Scientist

**Data Scientists** use their knowledge of machine learning, statistics, and programming to extract insights and patterns from data. They develop and apply algorithms to analyze data and build predictive models. This course may be useful for aspiring Data Scientists, as it provides an introduction to machine learning and other AI technologies.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

**Machine Learning Engineers** design, build, and deploy machine learning models. They work closely with Data Scientists to implement and maintain machine learning systems. This course may be useful for aspiring Machine Learning Engineers, as it provides an introduction to machine learning and other AI technologies.

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Artificial Intelligence Engineer

**Artificial Intelligence Engineers** design, develop, and implement AI systems. They work on a variety of projects, such as natural language processing, computer vision, and robotics. This course may be useful for aspiring Artificial Intelligence Engineers, as it provides an introduction to AI technologies and the Linux Foundation AI & Data ecosystem.

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Data Analyst

**Data Analysts** collect, clean, and analyze data to identify trends and patterns. They use their findings to make recommendations and improve business decisions. This course may be useful for aspiring Data Analysts, as it provides an introduction to data analysis and the Linux Foundation AI & Data ecosystem.

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Business Analyst

**Business Analysts** help organizations to improve their performance by analyzing data and identifying areas for improvement. They work with stakeholders to gather requirements, define problems, and develop solutions. This course may be useful for aspiring Business Analysts, as it provides an introduction to data analysis and the Linux Foundation AI & Data ecosystem.

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Product Manager

**Product Managers** are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. This course may be useful for aspiring Product Managers, as it provides an introduction to AI technologies and the Linux Foundation AI & Data ecosystem.

See salaries and explore the career path for Product Manager

Data Engineer

**Data Engineers** design, build, and maintain data pipelines. They work with data to ensure that it is clean, consistent, and accessible. This course may be useful for aspiring Data Engineers, as it provides an introduction to data analysis and the Linux Foundation AI & Data ecosystem.

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Software Engineer

**Software Engineers** design, develop, and maintain software applications. They work on a variety of projects, such as web applications, mobile applications, and enterprise software. This course may be useful for aspiring Software Engineers, as it provides an introduction to AI technologies and the Linux Foundation AI & Data ecosystem.

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IT Manager

**IT Managers** are responsible for the planning, implementation, and management of IT systems. They work with a variety of stakeholders to ensure that IT systems meet the needs of the organization. This course may be useful for aspiring IT Managers, as it provides an introduction to AI technologies and the Linux Foundation AI & Data ecosystem.

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Network Engineer

**Network Engineers** design, build, and maintain computer networks. They work with a variety of technologies, such as routers, switches, and firewalls. This course may be useful for aspiring Network Engineers, as it provides an introduction to AI technologies and the Linux Foundation AI & Data ecosystem.

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Systems Administrator

**Systems Administrators** manage and maintain computer systems. They work with a variety of technologies, such as servers, operating systems, and applications. This course may be useful for aspiring Systems Administrators, as it provides an introduction to AI technologies and the Linux Foundation AI & Data ecosystem.

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Mobile Developer

**Mobile Developers** design, develop, and maintain mobile applications. They work with a variety of technologies, such as Android, iOS, and React Native. This course may be useful for aspiring Mobile Developers, as it provides an introduction to AI technologies and the Linux Foundation AI & Data ecosystem.

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Computer Scientist

**Computer Scientists** conduct research in the field of computer science. They develop new algorithms and theories, and they work on a variety of projects, such as artificial intelligence, computer graphics, and operating systems. This course may be useful for aspiring Computer Scientists, as it provides an introduction to AI technologies and the Linux Foundation AI & Data ecosystem.

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Database Administrator

**Database Administrators** manage and maintain databases. They work with data to ensure that it is secure, reliable, and performant. This course may be useful for aspiring Database Administrators, as it provides an introduction to data analysis and the Linux Foundation AI & Data ecosystem.

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Web Developer

**Web Developers** design, develop, and maintain websites. They work with a variety of technologies, such as HTML, CSS, and JavaScript. This course may be useful for aspiring Web Developers, as it provides an introduction to AI technologies and the Linux Foundation AI & Data ecosystem.

See salaries and explore the career path for Web Developer