What you'll get
  • 43+ Hours
  • 7 Courses
  • Course Completion Certificates
  • Self-paced Courses
  • Technical Support
  • Case Studies

Synopsis

  • Provides a structured learning journey covering IoT automation, ESP8266-based development, Python for IoT applications, and data analysis fundamentals.
  • Introduces beginners to Raspberry Pi concepts within a practical IoT ecosystem.
  • Offers one-year course access, allowing learners to study flexibly at their own pace.
  • Designed for individuals aiming to build or advance a career in IoT automation and connected systems.
  • Includes project-driven learning to reinforce real-world implementation skills.
  • Comes with an official Course Completion Certificate featuring a unique, verifiable link.
  • Certificates can be easily shared on resumes or LinkedIn profiles to showcase IoT expertise.
  • Delivered through self-paced video lessons for convenient, anytime learning.
  • Requires only a basic computer system with at least 1 GB RAM and audio support—no specialized software needed.

Content

Courses No. of Hours Certificates Details
IoT Automation with ESP82667h 2mView Curriculum
Courses No. of Hours Certificates Details
Raspberry Pi for Beginners11h 19mView Curriculum
Raspberry Pi for Programmers2h 24mView Curriculum
AWS IOT5h 5mView Curriculum
Dweet.io and Freeboard.io Project53mView Curriculum
Courses No. of Hours Certificates Details
Python for IoT Tutorials10h 33mView Curriculum
Advanced Python for IoT & IoT based Data analysis6h 29mView Curriculum

Description

The Internet of Things (IoT) is a network of intelligent devices, sensors, and platforms that continuously collect, transmit, and interpret data autonomously. These systems operate with minimal manual involvement, enabling them to adapt and respond in real time to evolving conditions and inputs.

This course provides a comprehensive introduction to IoT automation, focusing on practical implementation using ESP8266 microcontrollers, Python-based programming, and foundational data analysis techniques. Learners are also introduced to Raspberry Pi, making it easier to understand how hardware and software work together in real-world IoT solutions.

Through real-life examples—such as smart home automation, assisted eldercare systems, and healthcare monitoring—participants gain insight into how IoT technologies are transforming industries. The curriculum emphasizes hands-on learning, ensuring learners can confidently design, build, and analyze IoT-based automation systems.

Sample Certificate

Course Certification

Goals

  • Build a strong foundation in IoT automation and connected device ecosystems.
  • Enable learners to design and implement IoT solutions using modern tools and technologies.
  • Develop practical programming and data analysis skills for real-world IoT use cases.
  • Prepare participants for entry-level and intermediate roles in IoT and automation domains.

Objectives

  • Understand core IoT concepts, architectures, and communication models.
  • Work with ESP8266-based systems for automation and data transmission.
  • Apply Python programming to develop and manage IoT workflows.
  • Analyze IoT-generated data to support decision-making and system optimization.
  • Gain beginner-level familiarity with Raspberry Pi and its role in IoT environments.

Highlights

  • End-to-end coverage of IoT automation, from fundamentals to applied projects.
  • Practical exposure to ESP8266, Python, and Raspberry Pi-based solutions.
  • One-year access with fully self-paced video learning.
  • Project-based curriculum focused on real-world automation scenarios.
  • Official, verifiable Course Completion Certificate with a unique URL.
  • Minimal hardware and software requirements for easy enrollment.

 

Requirements

  • Reliable internet connectivity for accessing online learning materials.
  • Basic knowledge of C, C++, and general programming concepts.
  • Comfort with English, as the course content and instruction are delivered in English.
  • Foundational understanding of operating systems, servers, and networking concepts is recommended.
  • Prior exposure to Python or any programming language is beneficial but not mandatory.

Target Audience

  • Students aspiring to build careers in automation or IoT-related fields who want a hands-on learning experience.
  • Working professionals looking to transition into automation and connected system roles through structured online training.
  • Beginners entering the IT industry who want a future-ready skill set aligned with growing automation demands.
  • Technology enthusiasts and coders seeking to strengthen portfolios for advanced, high-growth roles in IoT.
  • Learners interested in automation tools and environments commonly used with platforms such as Eclipse and Microsoft Visual Studio.

FAQ

Q1. Is this course suitable for beginners?

Yes, the course is beginner-friendly, provided learners have basic programming knowledge and an interest in IoT and automation.

Q2. Is the course self-paced?

Yes, all modules are delivered through self-paced video lessons, allowing learners to study at their own pace.

Q3. Will learners receive a certificate?

Yes, participants receive an official Course Completion Certificate with a unique, verifiable link.

Q4. Are projects included in the course?

Yes, the course includes project-based learning to help learners apply concepts in practical scenarios.

Q5. What system requirements are needed?

A basic computer with at least 1 GB RAM, audio output, and an internet connection is sufficient. No specialized software is required.

Career Benefits

  • Builds in-demand skills for IoT automation and connected device development.
  • Enhances employability for roles in IoT engineering, automation, and embedded systems.
  • Provides hands-on experience that strengthens technical portfolios.
  • Adds verifiable credentials that improve resumes and LinkedIn profiles.
  • Opens pathways to future-focused careers as industries increasingly adopt smart and automated technologies.