Become an IoT Expert in Just 6 Months
Master Internet of Things (IoT) skills to build, manage, and innovate IoT solutions in the real world.
Tools you will learn
Arduino
Raspberry Pi
Sensors and Actuators
MQTT Protocol
IoT Security
Cloud Platforms (AWS, Azure, Google Cloud)
Node-RED
Python Programming for IoT
Mobile App Integration for IoT
Why You Should Learn IoT

$1.1 Trillion

The estimated market value of IoT by 2026.

Top 5

$100,000+ Average annual salary for IoT professionals.

$100,000+

Average annual salary for IoT professionals.

50 Billion

of businesses are already adopting IoT technologies, creating huge career opportunities.

85%

of marketers believe good design plays a key role in customer trust
Your Roadmap to Becoming an IoT Expert

Week 1 – Introduction to IoT

  • Understanding the IoT Ecosystem
  • Key IoT components: Sensors, Actuators, Connectivity, and Data Processing
  • IoT Protocols: HTTP, MQTT, CoAP, etc.
  • Overview of IoT Applications in Smart Homes, Healthcare, Industry, and Agriculture

Week 2-3 – IoT Architecture and Components

  • Architecture of an IoT System
  • Exploring IoT devices (Arduino, Raspberry Pi, and more)
  • Understanding sensors and their role in IoT (Temperature, Humidity, Motion)
  • Working with actuators and controlling devices remotely

Week 4-5 – Networking and Communication Protocols

  • IoT Networking Fundamentals
  • Wi-Fi, Bluetooth, Zigbee, LoRaWAN, and cellular networks
  • MQTT Protocol for IoT communication
  • Setting up communication between IoT devices and cloud platforms

Week 6-7 – IoT Programming (Python & Node-RED)

  • Introduction to Python for IoT: Basics, Libraries, and Use Cases
  • Programming IoT devices using Raspberry Pi
  • Hands-on with Node-RED for workflow automation
  • Creating simple IoT applications using Python and Node-RED

Week 8-9 – Cloud Platforms for IoT

  • Introduction to IoT Cloud Platforms (AWS IoT, Microsoft Azure, Google Cloud IoT)
  • Connecting IoT devices to the cloud
  • Real-time data visualization using dashboards
  • Implementing IoT Data Analytics for actionable insights

Week 10-11 – IoT Security Essentials

  • Understanding IoT Security Risks and Challenges
  • IoT Security Protocols (SSL/TLS, VPN, etc.)
  • Implementing Authentication and Encryption in IoT Systems
  • Securing IoT Communication and Devices

Week 12 – Mobile App Integration for IoT

  • Introduction to Mobile App Development for IoT
  • Using Firebase or similar platforms to connect IoT devices to mobile apps
  • Designing an app interface to control IoT devices remotely
  • Hands-on project: Building a mobile app for IoT devices

Week 13-14 – Building IoT Projects

  • Building a Smart Home System with IoT
  • Developing a Health Monitoring System using IoT
  • Hands-on project: Building a Weather Station using Sensors
  • Developing an Industrial IoT Application for remote monitoring

Week 15-16 – IoT in Industry (Industry 4.0)

  • The Role of IoT in Manufacturing and Automation
  • IoT Sensors for Predictive Maintenance and Asset Tracking
  • Exploring Smart Cities, Connected Vehicles, and Agriculture
  • Case Studies on Industrial IoT Applications

Week 17-20 – IoT Capstone Project & Job Preparation

  • Work on your IoT Capstone Project integrating the concepts and tools learned
  • Present your IoT solutions to mentors for feedback
  • Building an impressive IoT portfolio
  • Job Preparation: Resume building, interview tips, and industry insights
Exclusive Sessions on Job Assistance
Session 1
Insights on how to present your IoT skills to employers
Session 2
Aligning your IoT expertise with industry job roles and expectations
Session 3
Expert guidance on writing an IoT-focused resume and avoiding ATS pitfalls
Session 4
Career transition strategies into the IoT field
Session 5
Building a portfolio that stands out to IoT companies
 
Session 6
Insider tips to succeed in interviews with IoT companies
That's Not It, We're Also Giving You Some
Bonus Modules for Advanced Learning!
Edge Computing for IoT
AI and Machine Learning in IoT
Building Scalable IoT Systems
IoT-Enabled Smart Wearables
AI-Driven Predictive Maintenance in IoT
Blockchain in IoT Security
Frequently asked questions
  1. What are the prerequisites for this course?
    No prior experience in IoT or programming is needed. We start from the basics.

  2. When do the live group calls and guest sessions take place?
    Live sessions are scheduled in the evenings on weekends for flexibility.

  3. What if I miss a live session?
    All live sessions are recorded and available for replay, so you won’t miss anything.

  4. How involved is the mentor in this program?
    Mentors offer personalized guidance, answer questions, and provide feedback on assignments.

  5. How much time should I expect to invest weekly?
    Plan to spend about 8-10 hours per week working on lessons, assignments, and projects.

  6. What is included in this program?
    The program includes recorded lessons, live sessions, hands-on projects, job preparation, and bonus advanced learning modules.

  7. What if I have questions between live sessions?
    You can ask questions in the community forum or reach out to mentors for assistance.

  8. What equipment or software do I need?
    A laptop or PC with internet access, basic programming software, and an IoT kit (Raspberry Pi/Arduino) for hands-on learning.