Cisco DevNet Professional DEVIOT – Developing Solutions Using Cisco IoT and Edge Platforms
The DEVIOT Developing Solutions Using Cisco IoT and Edge Platforms course is part of the Cisco DevNet Professional track . This course prepares you to develop Internet of Things (IoT) applications within the Cisco® IoT edge architecture ecosystem. Through a combination of lectures and hands-on experience, you will learn to implement and deploy Cisco IOx applications using Cisco Field Network Director and Cisco Kinetic. This course covers designing, deploying, and troubleshooting edge applications. You will explore how management tools can be used in this context so you can control your industrial network and connected devices at scale. This course helps you prepare for the Cisco DevNet Professional Certification exam (Exam 350-915) .
Course Objectives
Below is a summary of the main objectives of the DEVIOT Developing Solutions Using Cisco IoT and Edge Platforms Course :
- Develop Internet of Things (IoT) applications within the Cisco® IoT edge architecture ecosystem.
- Implement and deploy Cisco IOx applications with Cisco Field Network Director and Cisco Kinetic.
- Design, deploy, and troubleshoot edge applications.
- Using management tools to control the industrial network.
- Manage connected devices at scale.
- Integrate Cisco IoT solutions with cloud platforms for data analytics and storage.
- Secure IoT networks by implementing robust security protocols and practices.
- Utilize edge computing to process data locally, reducing latency and bandwidth usage.
Course Certification
This course helps you prepare to take the:
Exam 300-915 DEVIOT Developing Solutions Using Cisco IoT and Edge Platforms;
Course Outline
- Defining Cisco IoT
- Cisco IoT Motivations
- Cisco IoT Components Overview
- Common Cisco IoT Architecture
- IoT Examples and Major Verticals of Cisco IoT
- Smart Parking using IoT
- IoT Networking and Other Devices
- Cisco IoT Routers, Switches, and Access Points
- Cisco IoT Firewalls
- Programmable Logic Controllers
- Embedded Microcontrollers
- Real-Time Operating Systems
- Programmatic Interfaces in IoT Devices
- Examining IoT Protocols
- IoT Protocols
- IoT Sensors and Interfaces
- Bluetooth Low Energy
- Ethernet
- Wi-Fi
- Long Term Evolution
- LoRaWAN
- Day in the Life of an IoT Packet
- Examining IoT Standards
- Overview of Standards Used in Cisco IoT
- Data Distribution Service
- Open Platform Communication Unified Architecture
- MTConnect
- Open PLC
- Message Queue Telemetry Transport
- Use an MQTT Consumer to Subscribe to Sensor Data
- Use Cisco IOx Applications to Receive and Process Sensor Data
- Troubleshoot Sensor Connection
- Recognizing Cisco IoT Needs and Solutions
- Cisco IoT Operations
- Compute Resources and Cisco IoT
- Traditional Computing Resources
- Cloud Based Resources
- Define Edge-Based Compute in an IoT Deployment
- Data Analysis Tools
- Freeboard
- Grafana
- Kibana
- Use and Interpret Freeboard Data
- Use and Interpret Grafana Data
- Use and Interpret Kibana Data
- Using Programmability with Cisco IoT
- Programmability with Cisco IoT
- Programmability and Cisco IoT Common Use Cases
- Multitier Architecture and Programmability in Cisco IoT (Fleet Management)
- Multitier Architecture and Programmability in Cisco IoT (Data Management)
- IoT Development Life-Cycle Security
- Secure the Development Lifecycle
- Secure Applications and Infrastructure During Development
- Describing Cisco IoT Applications—Cisco IOx
- Common IoT Applications
- Cisco IOX
- Cisco IOx Components
- Application Development and Deployment Directly to Cisco IOx
- Deploy Applications with Cisco Kinetic GMM and Cisco FND
- Troubleshoot Cisco IOx Applications and Deployments
- Cisco IOx Familiarity Lab
- Develop and Deploy a Cisco IOx Application
- Cisco IOx Troubleshooting
- Describing Cisco IoT Applications—Cisco Kinetic and Cisco Field Network Director
- Cisco Kinetic
- Exploring the Cisco Kinetic API using Postman
- Using Python Scripting to Deploy an Edge Application
- Navigate the Cisco Kinetic Interface
- Cisco Kinetic Edge and Fog Processing Module
- Cisco Kinetic GMM API
- Cisco Field Network Director
- Cisco FND Interfaces
- Navigate to Cisco Field Network Director
- Explore Cisco Field Network Director API
- Defining Cisco Security Applications
- Cisco Security Applications Overview
- Cisco Tetra
- Cisco Stealthwatch (Enterprise and Cloud)
- Cisco Umbrella and Cloudlock
- Securing Cisco IoT Solutions
- Cisco Advanced Malware Protection and Cisco IoT
- Cisco Identity Services Engine and Cisco IoT
- Cisco pxGrid and Cisco IoT
Laboratory Activities
- Use an MQTT Consumer to Subscribe to Sensor Data
- Use Cisco IOx Applications to Receive and Process Sensor Data
- Troubleshoot Sensor Connection
- Use and Interpret Freeboard Data
- Use and Interpret Grafana Data
- Use and Interpret Kibana Data
- Cisco IOx Familiarity Lab
- Develop and Deploy a Cisco IOx Application
- Cisco IOx Troubleshooting
- Navigate to Cisco Field Network Director
- Explore Cisco Field Network Director API
Course Mode
Instructor-Led Remote Live Classroom Training;
Trainers
Trainers are Cisco Official Instructors and certified in other IT technologies, with years of hands-on experience in the industry and in Training.
Lab Topology
For all types of delivery, the Trainee can access real Cisco equipment and systems in our laboratories or directly at the Cisco data centers remotely 24 hours a day. Each participant has access to implement the various configurations thus having a practical and immediate feedback of the theoretical concepts.
Here are some Cisco Labs network topologies available:
Course Details
Course Prerequisites
- Atendance at the Cisco CCNA Course is recommended .
Course Duration
Intensive duration 5 days
Course Frequency
Course Duration: 5 days (9.00 to 17.00) - Ask for other types of attendance.
Course Date
-
- Cisco DEVIOT Course (Intensive Formula) – On request – 9:00 – 17:00
Steps to Enroll
Registration takes place by asking to be contacted from the following link, or by contacting the office at the international number +355 45 301 313 or by sending a request to the email info@hadartraining.com