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IOT Training Course

IOT Training Course - Posh Institute of Technology

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Course Description

IOT Analyst Certification

To make the Internet of Things useful, we need an analytics of things. From a business perspective, IOT needs to be complemented with analytics for the data generated by IOT applications for meaningful IOT deployments. This  program consists of 3 courses which provide insights into data acquisition, cleaning, exploratory analysis, preparation and final analysis for IOT systems. It also explains how to implement advanced analytics and machine learning algorithms to IOT data for building complex IOT solutions.

COURSES INCLUDED

This specialization covers the various dimensions of dealing with data generated from IOT devices, sensors, tags and actuators. You can expand your career to include Data Science for IOT.

Introduction to IOT Analytics

This course provides an overview and insights into data generation, analysis, and usage from IOT systems, and uses multiple case studies to explain how analytics is used in IOT scenarios to accomplish desired outcomes. This course module explores diverse use cases of IOT across verticals including sports, healthcare etc.

  • IOT Reference Architecture   

  • IOT Data Overview and Use Cases

  • IOT Data Reference Architecture & Platforms

  • Introduction to Machine Learning and Python

  • KPIs in IOT Analytics

  • Case Study: Human Activity Recognition

Data Science for IOT

This course shows you how to apply data science life cycle to handle IOT analytics scenarios with IOT data. Focused targeted use cases of retail, and manufacturing as in Industrial Internet is explored.

  • Special IOT Applications in Retail & Industrial Internet

  • IOT Analytics Data Science LifeCycle

  • Data Acquisition for IOT and IOT Data Cleaning

  • Descriptive IOT Data Analytics

  • Inferential Data Analytics for IOT

  • Predictive IOT analytics via IOT Data Classification

  • Exploratory IOT Data Analytics via Clustering

  • Prescriptive IOT Data Analytics for IOT

  • Case Study/Project: IOT Analytics Use Case on Air Quality

Advanced IOT Analytics with Machine Learning

This course explains how to implement advanced analytics and machine learning algorithms to IOT data to build complex IOT solutions. After doing this course, a student will be able to choose and apply the appropriate ML algorithms including classification and segmentation on IoT datasets and streaming data.

  • Overview and Vertical Use Cases

  • R Programming

  • Advanced IOT Data Clustering

  • Advanced IOT Anomaly Detection

  • Complex Event Processing

  • Time Series for IOT

  • Industrial Internet Use Case

  • Data Visualization for IOT

  • Security for IOT

  • Frontier IOT Analytics Topics

  • Capstone Project

IOT Professional Certification

The Internet of Things is spawning the next Industrial Revolution. This program will give you a solid understanding of how to develop and implement your own IOT solutions using sensor connected IOT devices and IOT gateway, it also covers details of how you can set up your own IOT Cloud for data storage and analysis. It consists of 4 courses designed by industry experts using numerous hands-on exercises and case studies.

COURSES INCLUDED

This specialization will give you a solid understanding of how to develop and implement your own IOT solutions using Arduino and Raspberry Pi. It also covers the details of how IOT works with the cloud.

IOT for Beginners

Step into the fantastic world of the future with this introductory course on the Internet of Things.

  • Introduction to IOT

  • Building IOT, Challenges, IOT & Analytics

  • Getting Started with IOT

IOT from the Ground Up – Using Arduino

This course deals with basic electronics, microcontroller architectures, sensors, human-machine interfaces (HMI) and basic networking. We use the Arduino platform to teach these concepts.

  • Getting Started with Arduino

  • Sensors, Signals & Electronics

  • Microcontroller Concepts

  • Basic Networking with NodeMcu

  • Advanced Microcontroller Concepts

  • Project: Workplace Buddy

Powering IOT – Using Raspberry Pi

The course focuses on higher-level operating systems, advanced networking, user interfaces, multimedia and uses more computing intensive IOT applications as examples. We use the Raspberry Pi running Linux as the platform of choice, while also exposing the student to other comparable platforms.

  • Basics of Javascript

  • Getting Started with Raspberry Pi

  • Interfacing Hardware with the Raspberry Pi

  • Machine-to-Machine Communication

  • Multimedia Concepts

  • Speech Processing Concepts

  • Image Processing Concepts

  • Project: Smart Mirror

IOT and the Cloud

This course deals with the rapidly evolving field of cloud computing. We will examine cloud offerings from all the leading providers, including Amazon, Google and Microsoft, and learn to design and deploy solutions to them. As with previous modules, we will continue to emphasize hands-on learning, but this course will also have several case studies, where we examine real-world IOT applications such as wearables, home automation and smart cities.

  • Deploying to the Cloud

  • Infrastructure-as-a-Service

  • Microservices using Docker

  • Connectivity beyond Wi-Fi

  • Capstone Project: IOT Cloud application

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Institute Overview

Posh Institute of Technology
Pune, Maharashtra, India
20 Current Posted Courses

About us We envision a world where anyone, anywhere can transform their life by accessing the world’s best learning experience.Every course at POSH is taught by top instructors from world-class universities and companies, so you can learn some... Read More

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