Burlington, VT – Regus at Williston

300 Interstate Corporate Center, Suite 200, Burlington, United States, 05495

The venue is located in suburban Williston’s Interstate Corporate Center, accessible by car via US 2 or I‑89 with free on-site parking available. From Burlington International Airport (BTV), only about 5 miles away, taxis or rideshares take approximately 10 minutes via Williston Road. Public transit is served by Green Mountain Transit Route 2A, with a stop right outside the corporate center, offering convenient access for attendees traveling without a car.

Montpelier, VT – Local 64

43 State Street, 2ndFloor, Montpelier, United States, 05602

The venue is located at 43 State Street, on the second floor west side, right in downtown Montpelier near the Vermont State House. Easily reached by car via I‑89 or US 2, there is nearby metered street parking and municipal lots. From Burlington International Airport (BTV), about 36 miles northwest, taxis or rideshares typically take around 45 minutes south via I‑89. Public transit is available via Green Mountain Transit buses stopping on State or Main Street, placing the center within a short walk for those arriving without a car.

Winooski, VT – MyCube at Champlain Mill

20 Winooski Falls Wy, Suite 302, Winooski, United States, 05404

The venue is located in the historic Champlain Mill on Winooski Falls Way, perched above scenic Winooski Falls, easily accessed by car via I‑89 or US 2, with free on-site parking available. From Burlington International Airport (BTV), around 3 miles east, taxis or rideshares take about 10–15 minutes via Williston Road. Public transit is facilitated by Green Mountain Transit routes 2 and 4, which stop nearby on Riverside Avenue and Church Street—only a short walk to the site.

Explore Our Courses

IoT Programming with Python

 14 Hours

Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Python is a high-level programming language recommended for IoT due to its clear syntax and large community support.

In this instructor-led, live training, participants will learn how to program IoT solutions with Python.

By the end of this training, participants will be able to:

  • Understand the fundamentals of IoT architecture
  • Learn the basics of using Raspberry Pi
  • Install and configure Python on Raspberry Pi
  • Learn the benefits of using Python in programming IoT systems
  • Build, test, deploy, and troubleshoot an IoT system using Python and Raspberry Pi

Audience

  • Developers
  • Engineers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • To request a customized training for this course, please contact us to arrange.
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Introduction to IoT Using Raspberry Pi

 14 Hours

Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture.

In this instructor-led, live training, participants will learn the fundamentals of IoT as they step through the creation of an IoT sensor system using the Raspberry Pi.

By the end of this training, participants will be able to:

  • Understand the principles of IoT, including IoT components and communication techniques
  • Learn how to set up the Raspberry Pi specifically for IoT applications
  • Build and deploy their own IoT Sensor System

Audience

  • Hobbyists
  • Hardware/software engineers and technicians
  • Technical persons in all industries
  • Beginner developers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • Raspberry Pi supports various operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
  • Participants are responsible for purchasing the Raspberry Pi hardware and components.
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Raspberry Pi for Beginners

 14 Hours

Raspberry Pi is a very small, single-board computer.

In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to serve as an interactive and powerful embedded system.

By the end of this training, participants will be able to:

  • Set up an IDE (integrated development environment) for maximum development productivity
  • Program Raspberry Pi to control devices such as motion sensor, alarms, web servers and printers.
  • Understand Raspberry Pi's architecture, including inputs and connectors for add-on devices.
  • Understand the various options in programming languages and operating systems
  • Test, debug, and deploy the Raspberry Pi to solve real world problems

Audience

  • Developers
  • Hardware/software technicians
  • Technical persons in all industries
  • Hobbyists

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • Raspberry Pi supports various operating systems and programming languages. This course will use  Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
  • Participants are responsible for purchasing the Raspberry Pi hardware and components.
Read more...

Raspberry Pi + OpenCV for Facial Recognition

 21 Hours

This instructor-led, live training introduces the software, hardware, and step-by-step process needed to build a facial recognition system from scratch. Facial Recognition is also known as Face Recognition.

The hardware used in this lab includes Rasberry Pi, a camera module, servos (optional), etc. Participants are responsible for purchasing these components themselves. The software used includes OpenCV, Linux, Python, etc.

By the end of this training, participants will be able to:

  • Install Linux, OpenCV and other software utilities and libraries on a Rasberry Pi.
  • Configure OpenCV to capture and detect facial images.
  • Understand the various options for packaging a Rasberry Pi system for use in real-world environments.
  • Adapt the system for a variety of use cases, including surveillance, identity verification, etc.

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • Other hardware and software options include: Arduino, OpenFace, Windows, etc. If you wish to use any of these, please contact us to arrange.
Read more...

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Testimonials (2)

Practical examples and wider context given.

James - Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)

Course - IoT Programming with Python

Sean was a dynamic speaker and the hands-on exercises were very interesting and I can see how they will be really applicable.

Temira Koenig - Yeshiva University

Course - Raspberry Pi for Beginners

Upcoming Courses

Introduction to IoT Using Raspberry Pi

2025-08-25 9:30 am
14 hours
Winooski, VT – MyCube at Champlain Mill
$ 2220 (Online)
$ 2220 (Classroom)

Raspberry Pi + OpenCV for Facial Recognition

2025-09-08 9:30 am
21 hours
Winooski, VT – MyCube at Champlain Mill
$ 4054 (Online)
$ 4054 (Classroom)

IoT Programming with Python

2025-09-22 9:30 am
14 hours
Winooski, VT – MyCube at Champlain Mill
$ 2220 (Online)
$ 2220 (Classroom)

Raspberry Pi for Beginners

2025-10-06 9:30 am
14 hours
Winooski, VT – MyCube at Champlain Mill
$ 2703 (Online)
$ 2703 (Classroom)

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