Programming the Internet of Things (IOT)
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Syllabus
This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects
Course Overview
- The course focuses on the fundamental concepts of IoT and explains how IoT converges with data science, cloud computing, and other domains.
- It covers topics such as the device gateway, device management, the device registry, and shadows.
- They will also discuss security features and implications, core and edge computing capabilities and benefits, and the use of HTTP and MQTT as communications protocols.
- Lastly, they will discuss the integration of IoT solutions with analytics tools, which will allow you to analyze the IoT data being collected by your fleet of devices.
Course Syllabus
On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.
Week 01 - Fundamentals of IoT
- Introduction to IoT
- Embedded Systems
- Hardware and Software Components
- Networking in IoT
Week 02 - MQTT for IoT
- Sensing and Actuating
- MQTT Structure
- MQTT Publishing, Subscribing, Message Exchange
- Authentication Mechanisms
Week 03- IoT Platforms
- Introduction to IoT Hardware Platforms – ESP8266 and Raspberry Pi
- Azure IoT
- Amazon IoT Core
- Comparisons of IoT Cloud platforms
Week 04 - Application Programming Interface
- What is API?
- API programming
- Using Python API
- API and JSON exercises
Week 05 - Cloud Computing – Part 1
- Introduction to Cloud Computing
- Virtualisation
- Cloud Service Models
- Cloud Concerns
Week 06 -Cloud Computing – Part 2
- Cloud Data Management
- Microservices
- Edge Computing
- Lambda Function
Week 07 -AWS – DATABASE
- AWS Architecture
- NoSQL Databases work
- Dynamo DB
- Dynamo DB Monitoring and Backup
Week 08 - Smart Home Monitoring using AWS
- Challenge Description
- System Design
- Device Commissioning
- Web App Visualization of Data
Week 09 -Learning for IoT
- Introduction to Machine Learning
- Machine learning for IoT
- Using Python for Machine Learning.
- Create and Deploy a Machine Learning Model Demo on AWS
Week 10 -Device Simulation using AWS
- IoT Device Simulation
- Importance of Digital Twin
- Architecture Overview
- Device Simulation Demo
Week 11- Predictive Maintenance using AWS
- Introduction to Predictive Maintenance
- Amazon S3
- Predictive Maintenance with AWS IoT and Machine Learning
Week 12- Visualization using AWS
- IoT Data Analytics – Sensor Data and Time Series
- Influx DB Introduction - Database
- Grafana Introduction – Visualisation
- Amazon SageMaker
Our courses have been designed by industry experts to help students achieve their dream careers
Industry Projects
Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 4 Projects that are available in this program.
Development a web application using the tools provided by AWS
Develop a time variant IoT solution using basic AWS IoT components and a time series optimized Influx DB instance to store telemetry data
Develop a chat mechanism using UDP and have a brief understanding of the UDP and ability to implement within the local network
Develop a twitter bot using Python
Our courses have been designed by industry experts to help students achieve their dream careers
Ratings & Reviews by Learners
Skill-Lync has received honest feedback from our learners around the globe.
Flexible Pricing
Talk to our career counsellors to get flexible payment options.
INR 40,000
Inclusive of all charges
Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals
1 Year Accessto Skill-Lync’s Learning Management System (LMS)
Personalized Pageto showcase Projects & Certifications
Live Individual & Group Sessionsto resolve queries, Discuss Progress and Study Plans.
Personalized & Hands-OnSupport over Mail, Telephone for Query Resolution & Overall Learner Progress.
Job-Oriented Industry Relevant Curriculumavailable at your fingertips curated by Global Industry Experts along with Live Sessions.
Instructors profiles
Our courses are designed by leading academicians and experienced industry professionals.
1 industry expert
Our instructors are industry experts along with a passion to teach.
14 years in the experience range
Instructors with 14 years extensive industry experience.
Areas of expertise
- Electric vehicles
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