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There are 3 modules in this course
Welcome to the transformative journey into Advanced IoT Systems Integration and Industrial Applications! In this course, we'll delve into cutting-edge topics that go beyond the basics, covering advanced topics such as edge computing, analytics, security, and fusion of IoT with robotics and automation technologies.
This course is tailored for professionals eager to deepen their understanding of IoT systems in industrial contexts. Throughout the course, you'll delve into key areas such as edge computing, data analytics, security, and the integration of IoT with robotics and automation technologies. The emphasis is in practical skills, ensuring that you are well-equipped to apply your knowledge to real-world industrial challenges.
By the end of this Advanced IoT Systems Integration and Industrial Applications course, learners will be able to:
- Understand the concepts, benefits, and challenges of edge computing in industrial IoT applications.
- Apply advanced data analytics techniques for processing and deriving insights from IoT data, enabling data-driven decision-making in industrial applications.
- Identify and mitigate security and privacy risks in IoT systems, applying best practices and developing comprehensive security and compliance plans for industrial applications.
- Analyze and strategize the integration of IoT systems with robotics and automation technologies, designing holistic solutions for specific industrial use cases.
Get ready to elevate your understanding, sharpen your skills, and emerge prepared to drive innovation in industrial settings.
This module covers edge computing in IoT systems, its advantages, and challenges in industrial applications. Learners will gain knowledge in advanced data analytics techniques to process IoT data with hands-on experience and make data-driven decisions for improved efficiency and performance.
Benefits and Challenges of Edge Computing•4 minutes
IoT Data Processing and Storage•5 minutes
Techniques for Analyzing IoT Data•5 minutes
Data-Driven Decision-Making in Industrial Applications•5 minutes
Tools and Platforms for IoT Data Analytics•5 minutes
Overview of Cloud Service Models•5 minutes
Cloud Service Providers Evaluation Toolkit•4 minutes
Scalability and Resource Management in Cloud-Based IoT•5 minutes
Cloud-Based Data Integration•4 minutes
10 readings•Total 109 minutes
Course Syllabus•10 minutes
The Orchestrated Future: Mastering IoT Integration and Industrial Automation•7 minutes
10 Edge Computing Use Case Examples•15 minutes
Azure Stream Analytics•10 minutes
AWS IoT Analytics•10 minutes
Google Cloud IoT Core•10 minutes
Edge Computing vs Cloud Computing•15 minutes
Cloud Cost Optimization Strategies•15 minutes
At the Edge of Innovation•7 minutes
Points to Remember: Edge Computing and Advanced Data Analytics in IoT•10 minutes
4 assignments•Total 120 minutes
Exam - Edge Computing and Advanced Data Analytics in IoT•30 minutes
Quiz - Edge Computing in IoT Systems•30 minutes
Quiz - Advanced Data Analytics for IoT Applications•30 minutes
Quiz - Role of Cloud in IoT Applications•30 minutes
3 discussion prompts•Total 50 minutes
Edge Computing vs. Cloud Processing•20 minutes
Cloud Services in IoT•20 minutes
Edge Computing or Cloud?•10 minutes
2 plugins•Total 30 minutes
Activity - IoT Data Analytics•15 minutes
Activity - Cloud Services Models•15 minutes
Module 2: IoT Security, Privacy, and Compliance
Module 2•4 hours to complete
Module details
This module teaches learners to secure IoT systems in industrial contexts. It covers risk identification, best practices for devices and networks, regulatory compliance, and creating security plans. By the end, learners will adeptly manage IoT security and compliance for industrial applications.
Activity - Security and Compliance Plan•15 minutes
Module 3: Integration of IoT with Robotics and Automation Technologies
Module 3•4 hours to complete
Module details
This module is designed to provide learners with a deep understanding of integrating IoT, robotics, and automation in industrial contexts. Through targeted lessons, participants will learn to harmonize these technologies effectively and assess their impact on productivity. By mastering IoT-driven automation, learners will gain the skills to create customized solutions that leverage robotics, paving the way for advanced industrial applications.
LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.