Flowood, MS – Regus at Market Street

232 Market Street, Flowood, United States, 39232

The venue is centrally located at Market Street Flowood, just off US‑25/Lakeland Drive and Old Fannin Road, with plentiful free on-site and nearby municipal parking. From Jackson‑Medgar Wiley Evers International Airport (JAN), about 10 miles northwest, a taxi or rideshare takes around 15 minutes via I‑55 North and Lakeland Drive. Public transit is available via JATRAN buses serving Lakeland Drive with stops just steps from the entrance, making it accessible even without a car. The pedestrian-friendly plaza also includes shaded seating and walking paths connecting retail and dining options.

Gulfport, MS

1600 E Beach Blvd, Gulfport, United States, 39501

The venue is conveniently accessible by car via US‑90/Beach Boulevard, with on-site parking available for a daily fee. For those arriving by air, Gulfport–Biloxi International Airport (GPT) is just a short 5-minute drive away, approximately 5 miles via East Beach Boulevard. Public transportation is also an option, with Coast Transit Authority routes serving the area and the Gulfport Amtrak Station located about 0.7 miles from the venue. Rideshare services and local shuttles provide additional convenient transportation options.

Jackson, MS - Regus at East Capitol Street

317 East Capitol Street, Jackson, United States, 39201

The venue is conveniently accessible by car via I‑55 and I‑20, with public parking options available near the Capitol area. For those using public transportation, several Capital Area Transit System (CATS) bus lines stop along East Capitol Street, providing easy access to the venue. Travelers arriving at Jackson–Medgar Wiley Evers International Airport (JAN) can reach the location in approximately 15 minutes by car, taking I‑55 North and East Capitol Street for a quick 10-mile drive.

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.
Read more...

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.
Read more...

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

2025-09-23 9:30 am
14 hours
Flowood, MS – Regus at Market Street
$ 2220 (Online)
$ 2220 (Classroom)

Raspberry Pi + OpenCV for Facial Recognition

2025-10-07 9:30 am
21 hours
Flowood, MS – Regus at Market Street
$ 4054 (Online)
$ 4054 (Classroom)

IoT Programming with Python

2025-10-21 9:30 am
14 hours
Flowood, MS – Regus at Market Street
$ 2220 (Online)
$ 2220 (Classroom)

Raspberry Pi for Beginners

2025-11-04 9:30 am
14 hours
Flowood, MS – Regus at Market Street
$ 2703 (Online)
$ 2703 (Classroom)

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