Cloud Computing,Building Cognitive IoT

IOT in Oil & Gas - Upstream Specialist

Level: Advance Grades: Working Professionals
Cloud Computing,Building Cognitive IoT
90 Hours of LIVE instruction
90000.00 100000.00
10% off

Course Overview 5/5

Topics Covered

  • Building an IoT app
  • Creating a Machine Learning Model
  • Feature Engineering
  • Working with well logs in Python

Course Curriculam

  • IOT Basics
  • Networking Basics
  • MQTT vs HTTP
  • IOT Platforms Introduction


  • MQTT Demo
  • Simple Live Dashboard
  • Timeseries Database
  • Basic Production ready IOT Logger


  • SQL Database
  • Connectors for MySQL/PostgreSQL
  • Writing Data into SQL
  • Running Analytics Query
  • Analytics Dashboard


  • IOT App Basics
  • Build MQTT Android App
  • Send Data through ESP and Sensor
  • Show Live Data in App
  • Execute Queries from App


  • Intro to Serverless Computing – Lambda
  • Intro to Cloud Computing
  • Execute Lambda on MQTT Event
  • Rules Engine Basics

  • Intro to AWS Dynamo DB
  • DynamoDB Connection
  • IFTTT Intro
  • Google Assistant Demo


  • Fire-store Integration
  • Real time database Integration


  • Deploying apps on the cloud

  • Learning Assessment & Inputs for improvement

  • Building IOT in an Upstream environment. Working on a live use case

Projects you will build

Build an IoT App

Build Algorithms (or models) that are powerful enough to learn any required behavior from data.

Building Cognitive IoT
Build an IoT App
IoT App, Deployment

Building IoT in Upstream

Explore the power of cognitive IoT to outthink oil & gas industry challenges

Building Cognitive IoT
Building IoT in Upstream
Cognitive IoT, Deployment

Learn Effectively with our Industry Focused Approach

Petrocoder runs most specialised courses in oil & energy sector developed by industry specialists after several decades of experience.