Certificate Course Internet of Things

4 Month industry oriented course in Internet of Things with placement assistance and live project.

Entry Level Jobs35%
Mid Level Jobs76%
Senior Level40%
0 +
Jobs per 100

Among Top 4 Employable Skills

Why Join CC-IoT?

Certificate course in IoT is a 4-month classroom program for fresh graduates and early career professionals looking to build their career in Internet of Things and Industrial Automation. Candidates from the course are able to transition to roles such as R&D Engineers, Product Specialists, business analysts, data analysts, data engineer, analytics engineer etc. by learning relevant IoT techniques, tools and technologies and hands-on application through industry case studies.

Innovative Approach

Our business analytics course offers a blended learning environment or an online learning environment that causes minimal disruptions to work schedule. Sessions are assisted by online webinars, discussions and assignments for continuous and cumulative learning.

Corporate Collaboration

Our corporate partners are deeply involved in curriculum design, facilitating projects, industry lectures, and professional evaluation.

Live Projects

Live projects allows you to apply your learning to real industry projects and add it to your portfolio for potential employers to see as a tangible body of work.

Talent Pool

Interaction in the classrooms is not just with peers but active employees from different industries who bring their unique experiences to the fore.

Program Structure

The 4-month Certificate Course uses a combination of learning methods that include classroom teaching, hands-on exercises, and sessions with industry practitioners. Classes are conducted on weekdays and are assisted by online discussions and assignments.

Classroom Learning

Classroom sessions by our industry expert faculty would be conducted from Monday to Thursday starting 9:30 AM at the Noida center.

Lab Sessions

Regular in-class lab sessions help candidates apply concepts to real-life scenarios under the guidance of a faculty and industry expert.

4-Week Project Work

Candidates work on an application-oriented industry project where they are mentored and evaluated by faculty and industry experts.


The curriculum has been designed by industry experts with the learning content and assessments created by faculties from Tevatron, ST, NXP, ARM and other companies working in IoT domain.

  • Defining IoT
  • Data flow in IoT
  • Understanding IoT Architecture
  • IoT Applications around the world
  • Introduction
  • Sensors
  • Actuators
  • Hands on #1: Connecting
  • Introduction
  • Arduino Internals – API’s and IO
  • Setting programming Environment
  • Arduino C Programming
  • Hands-on #1: Glow an LED
  • Hands on #2: Environmental Monitoring
  • Hands on #3: Connecting Aurdino with Pi
  • Introduction
  • Pi Introduction
  • Configuring the Raspberry Pi (NOOBS and Other Languages & Tools)
  • Python Programming
  • Hands-on #1: GPIO
  • Hands-on #2: Web stack

IoT Communication Protocol

  • IoT Wireless Protocols
  • IoT Communication Channels
  • IoT Network Protocols
  • Comparison of the Network protocols
  • Introductions to IPv4 and IPv6

MQTT IoT Protocol

  • MQTT with Raspberry Pi
    • Channels
    • Protocol
    • Service Bus Queues
    • Message Routing
    • Hands on #1: Azure Message Communication
  • To Configure Connection Strings
  • Using the Azure IoT SDK
  • To Send a Messages or sensor data
    • Hands on #2: AWS Message Communication
  • To Configure Connection Strings
  • To Send a Message or sensor data
    • Introduction
    • Hands on #1: Azure based Device Management
    • Hands on # 1 – Direct Method
  • To Make a Continuously Running Function
  • To Receive Direct Methods
  • To Invoke a Direct Method
  • Additional Functionality
    • Hand on #2 – Device Simulation
  • To Create an IoT Device ID
  • Simulated Device App
  • To Create an App That Invokes the Direct Method
  • To Run the Simulated Firmware Update
    • Fundamentals
  • Azure IoT Internals
  • Real World IoT Solutions
  • Azure IoT SDKs and Tools
  • Setting Programming Environments
    • Hand #1: Azure IoT Device: Node.js SDK
  • Azure IoT Gateway SDK
  • Azure IoT Hardware and Software
  • IoT Hub Messaging
  • Azure IoT Preconfigured Solutions
  • Azure IoT Preconfigured Solutions – Remote Monitoring Demo
  • Azure IoT Management Tools
  • Securing My IoT Deployments
  • Message and Device Security
    • Hands on #2: Creating an IoT Hub
  • To Create an IoT Hub Service Using the Azure Portal
  • To Create an IoT Hub Service Using Azure CLI
  • To Register Your IoT Device with Your IoT Hub
    • Introduction
    • Walk through on IoT Suite internal & services
    • Hands on #1: Connecting Pi with AWS IoT Suite
    • Hand on #2 – AWS Lambda
  • Create a Lambda
  • Integrate to Lambda
  • Triggering Lambda
  • Hands on #3: Building Application pipeline with AWS Greengrass
    • Introduction to Bigdata
    • Techniques and Tools
    • Hands on #1: Stream Analytics
  • Stream Analytics Job
  • Stream Analytics Input & Output
  • Service Bus Namespace and Queue
  • Stream Analytics Query
  • Hand on #2: Predictive Analytics for AWS IoT
    • Introduction
    • IoT Reference Architecture
    • Hands on #1: AWS Microservices REST API
    • Hands on #2: IoT Azure Service Fabric
    • IoT Security
  • Security Architecture
  • Endpoint and Device Security
  • Implementation Obstacles
  • Best Practices
  • Use cases
    • Fundamentals
  • Introduction
  • Data Storage Options
  • DocumentDB
  • Azure Cosmos DB
  • Data Visualization and Storytelling
  • Introduction to Power BI
  • Power BI Software
  • Configuration: To Set Up the Lab Environment
    • Tutorial #1 – LongTerm Storage
  • Cosmos DB Database
  • Stream Analytics to Cosmos DB
  • Storage Verification
    • Tutorial #2 – Business Intelligence
  • Power BI
  • Consumer Group to Your IoT Hub
  • Stream Analytics Job for Power BI
  • Visualize Real-Time Data in Power BI
  • Power BI Desktop
  • Cosmos DB
  • Data wrangling & Shaping
  • Data Visualization
  • Power BI Report

Placement Assistance

As a participant in this program, Hex N Bit in collaboration with Map Resume helps you unlock your potential, highlight your skills and connect to the right opportunities for your next job.

Exclusive Recruitment Drives

Attend job fairs organised every 2 months across cities. Participate in our recruitment drives with top tech companies looking for professionals like you.

Access Curated Jobs

Access a list of jobs relevant to your experience and domain. Leverage our dedicated career support team working with 200+ organisations, who’ll recommend the right jobs for you.

Interview Workshops

Familiarise yourself with commonly asked questions that’ll help you crack any technical interview. Use your ePortfolio to showcase your skills and improve your chances of getting hired.

Personalised Career Mentorship

Get an expert career mentor personalised to your experience and industry, who will help you navigate your path to career success. Get guidance on choosing the right opportunities, building a great CV and much more.



Regular Classroom Program

4 Months
  • Recommended for Non Working
  • 100+ hours of classroom sessions
  • Lab work with faculty guidance
  • 150+ Hours of Online Content

Weekend Classroom Program

6 Months
  • For Working Professionals
  • 100+ hours of classroom sessions
  • Lab work with faculty guidance
  • 150+ Hours of Online Content

Batch Details


Batch Starts - 1st November 2019