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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.

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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.
Read more
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

Save this course

Save AIoT Foundations to your list so you can find it easily later:
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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in AIoT Foundations with these activities:
Review Fundamentals of Artificial Intelligence
Build a foundational understanding of AI to better grasp the AIoT ecosystem.
View Artificial Intelligence on Amazon
Show steps
  • Read chapters 1-3
  • Take notes on key concepts
  • Complete chapter exercises
Conduct self-assessments
Regular self-assessments help you identify areas for improvement and track your progress.
Show steps
  • Take practice quizzes
  • Review answers and identify knowledge gaps
Organize and Review Course Materials
Establish a structured approach to study materials for effective recall.
Show steps
  • Create a system for organizing notes, assignments, and quizzes
  • Review materials regularly
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group
Engage with peers to discuss course material, share insights, and enhance understanding.
Show steps
  • Find a group of like-minded classmates
  • Schedule regular meetings
  • Prepare for meetings by reviewing materials and questions
Join a professional AI community
Build connections with AI professionals to expand your knowledge and network.
Show steps
  • Research professional AI communities
  • Join a community that aligns with your interests
  • Attend virtual or in-person events
Complete hands-on AI Projects using Python
Gain practical AIoT experience through guided tutorials that combine AI and Python.
Show steps
  • Select a tutorial that aligns with your interests
  • Follow the step-by-step instructions
  • Deploy the AI solution
Mentor a junior AI enthusiast
Reinforce your understanding while fostering the growth of an AI professional.
Show steps
  • Identify and reach out to potential mentees
  • Establish a mentoring schedule
  • Provide guidance and support on AIoT topics

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.
Cover image
Deep Learning for Coders with fastai and PyTorch
Save
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.
Deep Learning for Coders with Fastai and PyTorch:...
Paperback
$$
Deep Learning for Coders with fastai and PyTorch:...
Kindle Edition
$$
Cover image
Big Data: Second Edition
Save
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.
Big Data: Second Edition
Paperback
Check
Big Data: Second Edition
Kindle Edition
Check
Cover image
Data Science for Business
Save
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.
Data Science for Business: What You Need to Know...
Paperback
$$
Data Science for Business: What You Need to Know...
Kindle Edition
$$
Cover image
The Elements of Statistical Learning
Save
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.
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Hardcover
$$$
The Elements of Statistical Learning: Data Mining,...
Kindle Edition
$$$
Cover image
Reinforcement Learning, second edition
Save
Provides a comprehensive overview of reinforcement learning and its applications. It valuable resource for anyone who wants to learn more about the theory and practice of reinforcement learning.
Reinforcement Learning, second edition: An...
Hardcover
$$$
Reinforcement Learning, second edition: An...
Kindle Edition
$$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning and its applications. It valuable resource for anyone who wants to learn more about the theory and practice of deep learning.
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Probabilistic Machine Learning
Save
Provides a comprehensive overview of machine learning from a probabilistic perspective. It valuable resource for anyone who wants to learn more about the theory and practice of machine learning.
Probabilistic Machine Learning: Advanced Topics...
Hardcover
$$$$
Cover image
Mathematics for Machine Learning
Save
Provides a comprehensive overview of the mathematics used in machine learning. It valuable resource for anyone who wants to learn more about the mathematical foundations of machine learning.
Mathematics for Machine Learning
Kindle Edition
$$

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Effort
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Via
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Instructor
Dirk Slama
Language
English
Good to know
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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