IoT Course Curriculum

IoT Course Curriculum

IoT Course Curriculum

Course Duration: 4 days ( 24 hrs )
Course Fees: £1150   

About Us

LSA Training is an institution providing professional education to individuals pursuing career growth in an increasingly sophisticated and competitive world. We aim to promote excellence in education and training in both the academic and corporate world.

Duration: 4 days (24 Hours)

  • Week day Batches: ( Mon to Fri 10am to 4pm ) 4 Days
  • Weekends Batches: ( Sat & Sun 10am to 4pm ) 2 weekends


Course OverviewHighlights
IoT Course Curriculum

  • What is IoT – In-depth explanation
  • IoT Applications in different domain
  • How large is the IoT Market in different domains?

IoT Architecture

  • Architecture
  • Tech Stack.
  • Protoculs
  • System Navigation


  • What is Sensor & Actuator?
  • What is good sensor?
  • Sensor properties.
  • Types of sensors
  • Sensor Demo – Proximity and IR sensors
IoT world
  • Latest updates in the IoT industry.
  • Available IoT alliances details and the standards that are getting evulved
  • Multiple IoT applications and sulutions available in market
  • Multiple IoT platform ( hardware) example ARM Mbed, Intel, Free scale etc., comparison and usage
  • Multiple IoT software and cloud platform, Components of a Platform, Usage, comparison. IoT eco systems build around these platforms. IoT platform and our experience about IoT platform building
  • Details about your IoT platform
Demonstration of business Use case
  • H/w pieces
  • IoT platform configuration – BCC – Client, Device, Rule, Alarm, Device Data, Event
  • Sensor data being sent to IoT platform
  • Actuation through BLE
  • Visualization through real time dashboard
  • How the problem gets sulved through big data and visualization
  • What is cloud?
  • What is cloud computing?
  • Benefits of cloud.
  • History of cloud computing.
  • Deployment Models.
  • Top cloud providers.
  • Service Models
  • Service Catalogue
  • Different Services from Amazon
  • Advantages for different offerings
  • Our learning in selecting the right service provider
Cloud Computing & Data AnalysisWeb services
  • Web services
  • Why Web Services.
  • Types of Web Services.
  • RESTful web services.
  • Design Principles.
Introduction to the Big Data and Big data technulogies and stream processing
  • Cloud data storage
  • Introduction to BigData
  • BigData Definition and Characteristics
  • Who is Generating BigData
  • BigData Analytics
  • Why BigData Analytics
  • Applications of BigData Analytics
  • Different Data Stores
  • BigData Technulogies – CouchDB, MongoDB, Node4J
Visual Analytics, predictive analytics.

  • Analytics
  • What is Visual Analytics?
  • Visual Analytic Touls for Big Data.
  • Predictive Analytics.
  • Predictive touls for Big Data.

Design considerations and IoT Security

  • How secure is IoT?
  • Vulnerabilities
  • Key aspects for Securing IoT sulutions

IoT Opportunities

  • Brainstorming on opportunities and how they can be realized.

Training Highlights

  • Instructor Led – Face2Face / class room training
  • More interaction with student to faculty and student to student.
  • Detailed presentations. Soft copy of Material to refer any time.
  • Practical oriented / Job oriented Training. Practice on Software Tools & Real Time project scenarios.
  • Mock interviews / group discussions / interview related questions.
  • Test Lab is in Cloud Technology – to practice on software tools if needed.
  • We discuss about the real time project domains.
  • The teaching methods / tools / topics we chosen are based on the current competitive job market.

Also on this course we offer the following

  • Hands on Experience
  • Real Time project work
  • Interview based Training


  • Previous Educational Background in IT or experience in support of networking.

Expected Salary/ Pay Package

  • Expected Salaries are as follows:
  • For Contractors £400 to £500 per day
  • Permanent Positions £50 to £110k per annum all depends on experience and skills set

Call us for more details on: +44 – 203 371 0546, or contact us at:

A Few of Our Clients