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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
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
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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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Reviews summary
Aiot for business professionals: strategic foundations
According to students, this course provides a largely positive and concise high-level overview of the AIoT ecosystem, particularly beneficial for business professionals and those in strategic roles. Many learners found the modules on applying AIoT to business strategy and the real-world case studies to be particularly insightful and valuable. While it excels at delivering a broad understanding, some students felt it lacked practical technical depth or hands-on coding examples, making it more suitable for those seeking a strategic understanding than for aspiring engineers.
Easy to digest for beginners and strategic learners.
"A concise and well-structured course for an introduction to AIoT."
"The content is easy to digest, which is good for beginners."
"The instructors clearly articulated complex concepts and the pacing was just right."
Real-world examples clarify theoretical concepts.
"The case studies were also very helpful in understanding real-world scenarios."
"The real-world case studies were a highlight, making the theoretical concepts much more tangible."
"I gained insights from the case studies provided, which illustrated practical applications."
Valuable insights into enterprise AIoT strategy.
"I found the modules on applying the AIoT framework to business strategy and execution particularly insightful."
"I especially liked how they linked technology with business outcomes."
"The business application sections were the most valuable for me."
Excellent for a broad, non-technical understanding.
"This course offers a fantastic high-level overview of AIoT. As a business professional, I found the modules on applying the AIoT framework to business strategy..."
"Excellent course for understanding the AIoT landscape from a strategic perspective. Highly recommend for managers or anyone in a strategic role..."
"Good foundational course. It covers the basics well... great starting point for non-technical people or those in management."
More theoretical than practical for engineers.
"I was hoping for a bit more technical depth, perhaps some practical demos or coding examples."
"It felt more like a theoretical overview than a practical 'foundations' course for engineers."
"I signed up expecting more hands-on content or deeper dives... Not suitable for aspiring AIoT engineers."
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Review Fundamentals of Artificial Intelligence
Show steps
Build a foundational understanding of AI to better grasp the AIoT ecosystem.
View
Artificial Intelligence
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3
- Take notes on key concepts
- Complete chapter exercises
Conduct self-assessments
Show steps
Regular self-assessments help you identify areas for improvement and track your progress.
Show steps
Show steps
Show steps
- Take practice quizzes
- Review answers and identify knowledge gaps
Organize and Review Course Materials
Show steps
Establish a structured approach to study materials for effective recall.
Show steps
Show steps
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
Show steps
Engage with peers to discuss course material, share insights, and enhance understanding.
Show steps
Show steps
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
Show steps
Build connections with AI professionals to expand your knowledge and network.
Show steps
Show steps
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
Show steps
Gain practical AIoT experience through guided tutorials that combine AI and Python.
Show steps
Show steps
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
Show steps
Reinforce your understanding while fostering the growth of an AI professional.
Show steps
Show steps
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:
For more career information including salaries, visit:
OpenCourser.com/course/5alkwb/aiot
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/5alkwb/aiot
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