In this course you’ll learn the entire technology “stack”, but it’s not really a stack, it’s much more than that.  A stack implies networking, but this course looks at IoT technology from a value perspective, implying an emphasis on data science and the digital twin instead of the network plumbing.  While others teach the tech of IoT like the tech of IT, this program teaches how IoT tech can be used to transform business.  The ICIP Technology course has 9 modules with 46 video lessons and does not include any programming. Watch select lessons by clicking the

MODULE 1: INTRODUCTION

1.1 WELCOME AND OVERVIEW (2m 42s) 

A welcome from instructor Bruce Sinclair, his qualifications and an overview of the ICIP Technology course.

1.2 PREREQUISITES (0m 39s) 

No prerequisites other than having a common understanding of technology and an interest in IoT tech from a value perspective.

1.3 TECH OVERVIEW (5m 5s)

Describes how to look at smart tech from a value perspective and then provides an overview of each of the major IoT technologies.

MODULE 2: THE SOFTWARE-DEFINED PRODUCT

2.1 OVERVIEW (2m 45s)

Defines and provides an overview of the software-defined product – the most important component of a smart product.

2.2 SIMPLE EXAMPLE (7m 37s) 

Goes through a simple example to demonstrate what a digital twin is and how to best construct one for the Internet of Things.

2.3 DIGITAL TWIN (4m 18s)

Defines and provides and overview of how to construct the digital twin along with providing a number Internet of Things examples.

2.4 APPLICATION (1m 16s)

Discusses the custom application(s) that need to be developed and its relationship to the digital twin.

2.5 SOFTWARE-DEFINED DRYER (1m 51s)

Goes through a more complex example to demonstrate what a digital twin is and how to best construct one for a smart product, system or environment.

MODULE 2 QUIZ

Asks questions about the five lessons in module 2.

2.6 MODULE 2 Q&A AND EXTRA MATERIAL (2m 58s)

Answers module 2 questions and points to other material to learn more about the software-defined product.

MODULE 3: THE HARDWARE-DEFINED PRODUCT

Defines and provides and overview of the hardware-defined product – one of the main components of a smart product.

3.2 SENSORS (3m 22s)

Describes the sensors used in the Internet of Things – what they are, how they work and how they are connected in the IoT product.

3.3 EMBEDDED SYSTEMS (3m 24s)

Dissects the anatomy of the Internet of Things embedded system, its purpose, related software, and choosing the right chipset for your use-case.

3.4 CONNECTED SENSORS (4m 34s)

Contrasts the Internet of Things connected sensor with the traditional sensor, describes the connected sensor’s components and how it works.

3.5 DEPLOYMENT CONSIDERATIONS (4m 40s)

Outlines the considerations that must be taken into account when deploying Internet of Things sensors in discrete products, systems or environments.

MODULE 3 QUIZ

Asks questions about the five lessons in module 3.

3.6 MODULE 3 Q&A AND EXTRA MATERIAL (2m 35s)

Answers module 3 questions and points to other material to learn more about the hardware-defined product.

MODULE 4: THE IOT NETWORK FABRIC

4.1 OVERVIEW (3m 26s)

Defines and provides and overview of the complete network fabric – one of the main components of a smart product.

4.2 OT NETWORK (3m 0s)

Defines the operational technology (OT) network, how it works, how it is different from the information technology (IT) network and it’s place in the network fabric of the Internet of Things.

4.3 IT NETWORK (2m 55s)

Defines the information technology (IT) network, how it works, how it is different from the operational technology (OT) network and it’s place in the network fabric of the Internet of Things.

4.4 FOG LAYER (4m 3s)

Describes the fog network – defines what it is, what it is connected to, why it is important and where it fits in the network fabric of the Internet of Things.

4.5 IOT CLOUD (2m 31s)

Describes the IoT cloud – defines what it is, what it is connected to, why it is important and where it fits in the network fabric of the Internet of Things.

4.6 IOT PLATFORM (6m 44s)

Describes the IoT platform – defines what it is, the different categories of platforms, how it works and why it is important and where it fits in the network fabric of the Internet of Things.

MODULE 4 QUIZ

Asks questions about the six lessons in module 4.

4.7 MODULE 4 Q&A AND EXTRA MATERIAL (2m 59s)

Answers module 4 questions and points to other material to learn more about the network fabric.

MODULE 5: IOT STANDARDIZATION AND PROTOCOLS

5.1 OVERVIEW (1m 51s) 

Defines and provides and overview of the different levels of network standards and protocols used in the Internet of Things.

5.2 MEDIA LAYER (6m 51s)

Discusses the media layer and its importance in IoT. All radio types are discussed as well as their pros and cons when used in the Internet of Things.

5.3 NETWORK LAYER (2m 14s)

Examines the network layer of the Internet of things and discusses the various protocols used in operational technology networks.

5.4 APPLICATION LAYER (4m 43s)

Looks at the application layer, describing what it is, how it’s used and its importance in value creation when used in the Internet of Things.

5.5 FOLLOW THE DATA EXAMPLE (4m 59s)

Demonstrates how each IoT protocol is used and the relationship between them in an extensive Internet of Things example that follows the data.

MODULE 5 QUIZ

Asks questions about the five lessons in module 5.

5.6 MODULE 5 Q&A AND EXTRA MATERIAL (3m 1s)

Answers module 5 questions and points to other material to learn more about standardization and protocols.

MODULE 6: EXTERNAL SYSTEMS

6.1 OVERVIEW (2m 22s)

Defines and provides and overview of the external systems – one of the main components of a smart product.

6.2 EXTERNAL DATA SERVICES (2m 17s)

Explains what external data services are, their importance, how they are interfaced with and how to effectively use them in Internet of Things deployments.

6.3 BUSINESS SYSTEMS (1m 59s)

Discusses the importance of business systems (PLM, CRM, ERP, SCM) in the Internet of Things and how to best use them in an IoT deployment.

6.4 OTHER SMART PRODUCTS (2m 7s)

Introduces the concept of using other smart/IoT products as external sources of data and the major implications this has in the Internet of Things.

MODULE 6 QUIZ

Asks questions about the four lessons in module 6.

6.5 MODULE 6 Q&A AND EXTRA MATERIAL (3m 17s)

Answers module 6 questions and points to other material to learn more about external systems.

MODULE 7: ANALYTICS AND DATA SCIENCE

7.1 OVERVIEW (5m 54s) 

Defines and provides and overview of IoT analytics – highly strategic and one of the main components of a smart product.

7.2 DESCRIPTIVE & DIAGNOSTIC ANALYTICS (2m 12s)

Dissects descriptive analytics and diagnostic analytics – how they work, how they are used and why they are important in the Internet of Things.

7.3 RULES ENGINES & STREAMING ANALYTICS (3m 40s)

Dissects streaming analytics and rules engines – how they work, how they are used and why they are important in the Internet of Things.

7.4 PREDICTIVE & PRESCRIPTIVE ANALYTICS 4m 0s)

Dissects predictive analytics and prescriptive analytics – how they work, how they are used and why they are important in the Internet of Things.

7.5 WHAT DATA SCIENTISTS DO (7m 31s)

Describes how data science is done – the steps data scientists take when working with data from the Internet of Things, independent of industry.

7.6 HOW IT WORKS – MODEL BUILDING (4m 25s)

Technically describes how analytics models are built – one of the fundamental analytics processes used in analytics for the Internet of Things.

7.7 HOW IT WORKS – COMPARING MODELS (9m 16s)

Technically describes how model comparison works – one of the fundamental analytics processes used in analytics for the Internet of Things.

7.8 HOW IT WORKS – SOLVING MODEL (3m 35s)

Technically describes how model solving/optimization/trending works – fundamental analytics processes used by analytics for in the Internet of Things.

7.9 CHOOSING ANALYTICS PACKAGE (3m 50s)

Describes what characteristics need to be considered when choosing an analytics solution package to process your Internet of Things data.

MODULE 7 QUIZ

Asks questions about the nine lessons in module 7.

7.10 MODULE 7 Q&A AND EXTRA MATERIAL (3m 49s)

Answers module 7 questions and points to other material to learn more about IoT analytics and big data.

MODULE 8: IOT CYBER SECURITY

8.1 OVERVIEW (2m 29s)

Defines and provides and overview of IoT cyber security – one of the main technical components of a smart product.

8.2 THREATS AND SOURCES OF LIABILITY (4m 41s)

Outlines the different types of threats faced by the data of smart products and the liabilities that come with each.

8.3 IOT ATTACK VECTORS (4m 32s)

Details each of the different attack vectors used against smart products and contrasts them with those used in IT.

8.4 IOT SECURITY BEST PRACTICES AND SDLC (7m 51s)

Goes over the best practices that have been established to lower the risk of cyberattack against a smart product.

MODULE 8 QUIZ

Asks questions about the four lessons in module 8.

8.5 MODULE 8 Q&A AND EXTRA MATERIAL (2m 25s)

Answers module 8 questions and points to other material to learn more about cyber security.

MODULE 9: CONCLUSION

9.1 MAIN TAKEAWAYS (1m 25s)

Reinforces the nine main takeaways that should be clearly understood after taking the ICIP Technology course.

9.1 NEXT STEPS (0m 45s)

Suggested next steps to take after completing the ICIP Technology course.

Back to ICIP Program Description