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Jeremy Willden

Connecting devices to the internet can be risky and complicated. This course prepares you to architect a secure and reliable IoT system, helping you avoid pitfalls and demonstrating practical examples of IoT devices and applications.

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Connecting devices to the internet can be risky and complicated. This course prepares you to architect a secure and reliable IoT system, helping you avoid pitfalls and demonstrating practical examples of IoT devices and applications.

Every year, billions of new devices are added to the Internet of Things (IoT), enabling new applications in security, data analysis, monitoring, and communication. Embedded systems developers are in short supply. However, and this course helps launch you into this quickly-evolving ecosystem, In this course, IoT Full Stack Development: Getting Started, you’ll gain the ability to build complete IoT solutions. First, you’ll explore selecting the right hardware and software platforms. Next, you’ll discover how to design security into the system from day one. Finally, you’ll learn how to integrate machine learning and AI into your system, allowing it to anticipate the needs of the user instead of simply reacting. When you’re finished with this course, you’ll have the skills and knowledge of IoT development needed to build a secure IoT infrastructure to support the next generation of connected smart devices.

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What's inside

Syllabus

Course Overview
Choosing the Right Hardware Platform
Off-the-shelf vs. Custom and Battery Life
Security for Every Link and Node
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User Interfaces and Back-end Platforms
AI, Automation, and Interaction
Real World Considerations
Analytics and Serverless Operation
System Extensibility and Portability

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Expands on skills and methods fundamental for building modern IoT apps, such as designing secure radio systems
Teaches learners how to use machine learning and AI to enable IoT devices to anticipate the needs of the user
Prepares learners with ways to avoid risks and pitfalls in building IoT systems by sharing best practices from the industry
Strong use of real-world applications and examples makes it easy to understand the practical side of building IoT systems
Taught by instructors who are recognized leaders in IoT development, with extensive work at industry-leading companies
Build complete IoT systems by teaching foundational knowledge, including hardware, software, security, and user interface concepts

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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 IoT Full Stack Development: Getting Started with these activities:
Identify and connect with mentors in the field of IoT
Connecting with experienced IoT professionals as mentors will provide you with valuable guidance and support throughout your learning journey.
Show steps
  • Attend industry events and conferences to meet IoT professionals
  • Reach out to IoT experts on LinkedIn or other professional networking platforms
  • Ask for informational interviews to learn about their experiences and insights
  • Identify potential mentors who align with your career goals and interests
Follow tutorials on specific IoT frameworks and tools
Following tutorials on IoT frameworks and tools will enable you to delve deeper into specific aspects of IoT technology and enhance your practical skills.
Show steps
  • Identify the IoT frameworks or tools that you want to learn about
  • Search for and select reputable tutorials on these frameworks or tools
  • Follow the tutorials step-by-step and complete all the exercises
  • Experiment with the frameworks or tools on your own to gain hands-on experience
Join an online group or forum for IoT enthusiasts and practitioners
Engaging in peer discussions will expose you to diverse perspectives and experiences, broadening your understanding of IoT and its applications.
Show steps
  • Find online groups or forums dedicated to IoT
  • Join these groups or forums and participate in discussions
  • Share your knowledge and experiences related to IoT
  • Ask questions and learn from other members
Five other activities
Expand to see all activities and additional details
Show all eight activities
Write a blog post or article about a specific IoT topic
Writing a blog post or article about an IoT topic will help you organize your knowledge and share it with others, reinforcing your understanding.
Show steps
  • Choose an IoT topic that you are interested in and knowledgeable about
  • Research the topic and gather relevant information
  • Write your blog post or article in a clear and engaging way
  • Publish your blog post or article and promote it through social media
Build a simple IoT sensor network
Creating an IoT sensor network will help you understand the principles of IoT systems and apply your knowledge practically.
Show steps
  • Choose the hardware you need
  • Set up the sensors and connect them to the network
  • Write the code to collect and analyze data from the sensors
  • Deploy the network and monitor its performance
Solve coding exercises and challenges related to IoT
Solving coding exercises and challenges will strengthen your programming skills and enhance your ability to implement IoT solutions.
Show steps
  • Find online platforms or repositories that offer IoT-related coding exercises and challenges
  • Select exercises and challenges that match your skill level and interests
  • Solve the exercises and challenges on your own or with a partner
  • Review your solutions and identify areas for improvement
Volunteer for an organization or project working on IoT applications
Volunteering for an IoT organization or project will provide you with real-world experience and enable you to contribute to the community.
Show steps
  • Research organizations or projects that work on IoT applications
  • Identify opportunities to volunteer your time and skills
  • Contact the organization or project and express your interest in volunteering
  • Attend volunteer orientation and training sessions
Develop a prototype for an IoT device
Developing an IoT device prototype will allow you to apply your knowledge and skills to construct a tangible solution.
Show steps
  • Research different IoT device types and platforms
  • Choose the hardware and software components for your device
  • Design and build the device
  • Test and evaluate the device's functionality
  • Present your device and its capabilities

Career center

Learners who complete IoT Full Stack Development: Getting Started will develop knowledge and skills that may be useful to these careers:
IoT Architect
IoT Architects design and oversee the development of IoT systems. This course is a great fit for aspiring IoT Architects, as it provides a comprehensive overview of IoT development. The course teaches students about hardware and software platforms, security, user interfaces, machine learning, and real-world considerations. These skills are essential for IoT Architects who want to design and build successful IoT systems.
IoT Developer
IoT Developers design, develop, and maintain IoT devices and applications. This course is a great fit for aspiring IoT Developers, as it provides a hands-on introduction to IoT development. The course teaches students how to choose the right hardware and software platforms, design secure systems, and integrate machine learning and AI. These skills are essential for IoT Developers who want to build successful IoT products.
Machine Learning Engineer
Machine Learning Engineers design, develop, and implement machine learning models to solve real-world problems. This course can help aspiring Machine Learning Engineers build a foundation in IoT development, which is a rapidly growing field. The course teaches students how to integrate machine learning and AI into IoT systems, allowing them to anticipate the needs of users and make proactive decisions. These skills are essential for Machine Learning Engineers who want to work with IoT data, which is highly valuable for training and improving machine learning models.
Computer Scientist
Computer Scientists research and develop new computer technologies. This course can help aspiring Computer Scientists build a foundation in IoT development, which is a rapidly growing field. The course teaches students about hardware and software platforms, security, and real-world considerations. These skills are essential for Computer Scientists who want to work on IoT projects.
Electrical Engineer
Electrical Engineers design and develop electrical systems. This course can help aspiring Electrical Engineers build a foundation in IoT development, which is a rapidly growing field. The course teaches students about hardware and software platforms, security, and real-world considerations. These skills are essential for Electrical Engineers who want to work on IoT projects.
Data Scientist
Data Scientists collect, analyze, and interpret data to derive meaningful insights that drive decision-making within organizations. This course can help aspiring Data Scientists build a foundation in IoT development, which is an increasingly important skill in modern data science. The course teaches students how to design secure IoT systems, integrate machine learning and AI, and work with real-world considerations like battery life and off-the-shelf hardware. These skills are essential for Data Scientists who want to work with IoT data, which is generated by billions of connected devices every year.
Software Engineer
Software Engineers design, develop, and maintain software systems. This course can help aspiring Software Engineers build a foundation in IoT development, which is an in-demand skill in the tech industry. The course teaches students how to choose the right hardware and software platforms for IoT systems, design secure systems, and integrate machine learning and AI. These skills are essential for Software Engineers who want to work on IoT projects.
Data Analyst
Data Analysts collect, clean, and analyze data to derive meaningful insights that drive decision-making within organizations. This course can help aspiring Data Analysts build a foundation in IoT development, which is an increasingly important skill in modern data analysis. The course teaches students how to design secure IoT systems, integrate machine learning and AI, and work with real-world considerations like battery life and off-the-shelf hardware. These skills are essential for Data Analysts who want to work with IoT data, which is generated by billions of connected devices every year.
Computer Engineer
Computer Engineers design, develop, and maintain computer systems. This course can help aspiring Computer Engineers build a foundation in IoT development, which is a rapidly growing field. The course teaches students how to choose the right hardware and software platforms for IoT systems, design secure systems, and integrate machine learning and AI. These skills are essential for Computer Engineers who want to work on IoT projects.
Embedded Systems Engineer
Embedded Systems Engineers design and develop embedded systems, which are small, computerized devices that are embedded in larger systems. This course can help aspiring Embedded Systems Engineers build a foundation in IoT development, which is a rapidly growing field. The course teaches students about hardware and software platforms, security, and real-world considerations. These skills are essential for Embedded Systems Engineers who want to work on IoT projects.
Hardware Engineer
Hardware Engineers design and develop electronic devices. This course can help aspiring Hardware Engineers build a foundation in IoT development, which is a rapidly growing field. The course teaches students about hardware and software platforms, security, and real-world considerations. These skills are essential for Hardware Engineers who want to work on IoT projects.
Security Analyst
Security Analysts protect organizations from cyber threats. This course can help aspiring Security Analysts build a foundation in IoT security, which is a critical skill in today's digital world. The course teaches students how to design secure IoT systems, identify and mitigate vulnerabilities, and respond to security incidents. These skills are essential for Security Analysts who want to protect organizations from IoT-related threats.
Systems Analyst
Systems Analysts analyze and design computer systems. This course can help aspiring Systems Analysts build a foundation in IoT development, which is a rapidly growing field. The course teaches students about hardware and software platforms, security, and real-world considerations. These skills are essential for Systems Analysts who want to work on IoT projects.
Product Manager
Product Managers are responsible for the development and launch of new products. This course can help aspiring Product Managers build a foundation in IoT development, which is an increasingly important area of product development. The course teaches students about hardware and software platforms, security, user interfaces, machine learning, and real-world considerations. These skills are essential for Product Managers who want to develop successful IoT products.
Network Engineer
Network Engineers design, install, and maintain computer networks. This course can help aspiring Network Engineers build a foundation in IoT development, which is a rapidly growing field. The course teaches students about hardware and software platforms, security, and real-world considerations. These skills are essential for Network Engineers who want to work on IoT projects.

Reading list

We've selected nine 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 IoT Full Stack Development: Getting Started.
This technical book offers practical architectures and design principles for IoT, covering device connectivity, data representation, system interfaces, and security. It adds more depth and breadth to the existing course.
This technical reference provides detailed coverage of IoT applications and protocols, including industrial automation, smart cities, and healthcare. It useful reference tool in the IoT space.
Provides a practical guide to machine learning on microcontrollers. It covers a wide range of topics, from hardware selection to software development. It good choice for anyone looking to get started with machine learning on microcontrollers.
Provides a comprehensive overview of the IoT. It covers a wide range of topics, from hardware to software to security. It good choice for anyone looking to get a broad understanding of the IoT.
Provides a practical guide to building IoT devices with Arduino. It covers a wide range of topics, from hardware selection to software development. It good choice for anyone looking to get started with IoT development using Arduino.
Provides a practical guide to building IoT devices with Arduino. It covers a wide range of topics, from hardware selection to software development. It good choice for anyone looking to get started with IoT development using Arduino.
Provides a practical guide to building IoT devices with the Raspberry Pi Zero. It covers a wide range of topics, from hardware selection to software development. It good choice for anyone looking to get started with IoT development using the Raspberry Pi Zero.
Provides a vision of the future of the IoT. It discusses the potential benefits and challenges of the IoT, and it offers a roadmap for the future development of the IoT. It good choice for anyone who wants to understand the long-term implications of IoT development.
Provides a critical look at the IoT. It discusses the challenges and opportunities of IoT development, and it offers a roadmap for the future of the IoT. It good choice for anyone who wants to understand the broader context of IoT development.

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