Seeking a skill set to establish a successful career in IoT?

Are you exploring the IoT profession to develop advanced software? Give a glance at the most demanding IoT skills a developer must-have in today’s ecosystem.

As stated in Statista, by the end of 2025, predictions indicate that there will be more than 75b IoT-connected devices that will lead the edge. It would be approximately three times higher than the IoT installed base in 2019.

The IoT landscape is expanding like never before, but it can't achieve colossal success without the skilled team of IoT developers. If you are also keen to give a hand to advanced IoT technology by becoming an IoT engineer, all you need is a skill-set that is trending.

Methodologies, Frameworks, Languages, and Cloud services for IoT Development

  • Methodologies
    Agile Development
    Lean Development
    Extreme Programming

  • Frameworks
    React & React Native
    Phoenix
    Ruby on Rails
    Nerves

  • Languages
    C or C++
    Python
    Elixir
    C#
    TypeScript
    Ruby
    HTML
    CSS

  • Cloud Services
    Microsoft Azure
    AWS
    Platformio
    NervesHub

Want to be known as an IoT Developer? Thrive with this skill set.

Organizations these days seek professionals with an advanced skill set in the IoT domain. That is why expertise in the below-mentioned areas is mandatory.

  1. In-depth knowledge of sensors
  2. Proficient understanding of Artificial Intelligence (AI) and Machine Learning (ML)
  3. Knowledge of Computer Programming languages like Embedded-C, C++, JavaScript, and Python
  4. Expertise in Network Security
  5. Work experience with Front-end and Back-end
  6. Well-versed with Linux-OS
  7. Proficiency in IoT principle and architecture
  8. Worked with custom-build Firmware and Hardware
  9. Must understand unique UI interface development with visual design, wireframing, prototyping, metrics, ad analysis.
  10. Experience with Cloud Computing
  11. Analytical and problem-solving skills
  12. Software knowledge like OpenSensors, Node, Neura, and Netbeast
  13. Firm understanding of Machine Learning (ML) algorithms
  14. Expertise in Big Data and GPS systems
  15. Device and data-security knowledge

One of the key goals of IoT is to streamline everyday tasks through automation without any human intervention. Once they are in the operating mode, there is no need to provide continuous input from the humans. Due to this efficiency, plenty of companies are leveraging IoT in each corner of the world.

Some Courses and Books to learn IoT skills

1. Sensors

Courses - by coursera organization

  • Sensors and Sensor Circuit Design
  • Sensors and Sensing Techniques

Books

  • Handbook of Modern Sensors: Physics, Designs, and applications - by Jacob Fraden
  • Getting Started with Sensors: Measure the World with Electronics, Arduino, and Raspberry Pi - by Kimmo Karvinen
  • ISensor Networks: The Integration of Sensor Networks, Signal Processing, and Machine Learning Paperback – by Fei Hu (Editor), Qi Hao (Editor)

2. AI and ML

Courses - by coursera organization

  • AI For Everyone
  • Introduction to Artificial Intelligence (AI)
  • Mathematics for Machine Learning Specialization
  • Machine Learning Engineering for Production (MLOps) Specialization
  • Advanced Machine Learning Specialization

Books

  • Artificial Intelligence – A Modern Approach (3rd Edition)
  • Machine Learning for Dummies
  • Make Your Own Neural Network
  • Machine Learning: The New AI
  • Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies

3. Big Data

Courses

  • Big Data Specialization - by coursera organization
  • Big Data Fundamentals - by edx organization

Books

  • Too Big to Ignore: The Business Case for Big Data, by award-winning author Phil Simon
  • The Data Revolution: Big Data, Open Data, Data Infrastructures, And Their Consequences By Rob Kitchin
  • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities, by T. H. Davenport
  • Big Data: Principles and Best Practices of Scalable Real-Time Data Systems By Nathan Marz And James Warren
  • Big Data in Practice By Bernard Marr

4. IoT

Courses - by coursera organization

  • An Introduction to Programming the Internet of Things (IoT) Specialization
  • Hands-on Internet of Things Specialization
  • AWS IoT: Developing and Deploying an Internet of Things
  • Introduction to the Internet of Things and Embedded Systems

Books

  • The Internet of Things - by Samuel Greengard
  • The Fourth Industrial Revolution - by Klaus Schwab
  • Getting started with Internet of Things - by Cuno Pfister
  • Learning Internet of Things - by Peter Waher
  • Precision: Principles, Practices and Solutions for the Internet of Things - by Timothy Chou

5. Network Security

Courses - by coursera organization

  • IBM Cybersecurity Analyst Professional Certificate
  • Fundamentals of Computer Network Security Specialization
  • Introduction to Cyber Security Specialization

Books

  • Applied Network Security Monitoring - by Chris Sanders and Jason Smith
  • Cryptography and Network Security - by William Stallings
  • Defensive Security Handbook - by Amanda Berlin and Lee Brotherston
  • Network Monitoring and Analysis - by Ed Wilson
  • Network Security Essentials - by William Stallings

6. Python

Courses - by coursera organization

  • Python for Everybody Specialization
  • Google IT Automation with Python Professional Certificate
  • Python 3 Programming Specialization
  • Applied Data Science with Python Specialization
  • Crash Course on Python

Books

  • Python Crash Course - by Eric Matthews
  • Automate the Boring Stuff with Python, 2nd Edition: Practical Programming for Total Beginners - by AI Sweigart
  • Learning Python, 5th Edition - by Mark Lutz
  • Head-First Python (2nd edition) - by Paul Barry
  • Learning with Python - by Allen Downey, Jeff Elkner, and Chris Meyers

7. Java

Courses - by coursera organization

  • Introduction to Java
  • Object Oriented Java Programming: Data Structures and Beyond Specialization
  • Core Java Specialization
  • Object Oriented Programming in Java Specialization
  • Java Programming and Software Engineering Fundamentals Specialization

Books

  • Core Java Volume I--Fundamentals: 1 (Core Series) - by Cay Horstmann
  • Effective Java - by Joshua Bloch
  • Java: A Beginner's Guide, Eighth Edition - by Herbert Schildt
  • Java: The Complete Reference, Eleventh Edition - by Herbert Schildt
  • Head First Java: A Brain-Friendly Guide, 2nd Edition (Covers Java 5.0) - by Kathy Sierra and Bert Bates

For What Tasks IoT Engineers are Liable?

Even though the IoT engineers’ tasks absolutely depend on the specific industry niche, the general activities encompass coding, designing, and device feature testing developed to connect to other devices and systems.

  1. Develop devices, sensors, and software
  2. Software development for implementation and monitoring processes
  3. IoT software analysis, development, testing, and documentation
  4. Offer solutions to the networks and platforms connection issues
  5. Software development to enable functioning and linking to other devices
  6. Create IoT device design, perform coding, and testing
  7. Designing IoT app and cloud compatible platform solutions
  8. Users’ requirement analysis and play the role of a service designer

Educational Background

If you want to become an IoT developer, you need a degree in a technical field such as Computer Science and Computer engineering. It's also very important to have mastery in programming languages.

Are you all set for IoT App Development?

The technologies concerned in IoT app development are amplifying at a rapid pace. Engineers need to be desperate to nurture a diverse skill set and be agile and inclined to grab new processes, challenges, and smart tools.

You will find it quite exciting to dig deeper into the IoT field.

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