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AIoT Foundations

Dirk Slama

Sign up for Udacity’s free Artificial Intelligence of Things (AIoT) Foundations online course. Develop a foundational understanding of the AIoT ecosystem in large enterprises.

What's inside

Syllabus

Welcome! We're so glad you're here. Join us in learning a bit more about what to expect and ways to succeed.
This lesson provides a crash course in all things related to the AIoT ecosystem. You'll do a high-level overview of the basics of artificial intelligence, data, digital twins, IoT, and hardware.
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In this lesson, we'll learn how to apply the AIoT framework to business strategy, and we'll consider three types of AIoT use cases (Digital OEM, Digital Equipment Operator, and Hybrid Models).
In this lesson, we'll explore how to execute an AIoT initiative on the business side—from design to procurement to operations,
In this lesson, we'll consdier how to carry out the technical execution and delivery of the AIoT-enabled product or solution while ensuring close alignment with the business execution
In this lesson, we'll look at a number of cases studies that will allow us to consider everything we've learned throughout the course in the light of some interesting real-world scenarios.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops a broad foundation in the basics of AIoT, from fundamentals to implementation, which is standard in industry
Provides a study of AIoT that is relevant to enterprise business strategy, digital OEMs, digital equipment operators, and related business models
Covers execution of an AIoT initiative on the technical side, from design to delivery, which is highly sought after by companies
Taught by Dirk Slama, who is a recognized name among the digital innovator community
Offered through Udacity, which is recognized for its courses in AI, machine learning

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Activities

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Career center

Learners who complete AIoT Foundations will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in AIoT Foundations.
Provides a practical guide to using deep learning for building AI applications. It valuable resource for anyone who wants to learn more about deep learning and its applications.
Provides a non-technical overview of data analytics and its applications. It valuable resource for anyone who wants to learn more about the potential and risks of data analytics.
Provides a practical guide to using data science for business. It valuable resource for anyone who wants to learn more about the tools and techniques used to extract insights from data.
Provides a comprehensive overview of statistical learning and its applications. It valuable resource for anyone who wants to learn more about the theory and practice of statistical learning.
Provides a comprehensive overview of reinforcement learning and its applications. It valuable resource for anyone who wants to learn more about the theory and practice of reinforcement learning.
Provides a comprehensive overview of deep learning and its applications. It valuable resource for anyone who wants to learn more about the theory and practice of deep learning.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It valuable resource for anyone who wants to learn more about the theory and practice of machine learning.
Provides a comprehensive overview of the mathematics used in machine learning. It valuable resource for anyone who wants to learn more about the mathematical foundations of machine learning.

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