Shelton, CT – Regus at One Reservoir Corporate Centre

4 Research Drive, Suite 402, Shelton, United States, 06484

The venue is located within the One Reservoir Corporate Centre business park on Research Drive, easily accessible by car via Route 8 or the Wilbur Cross Parkway, with ample free on-site and adjacent parking. From Tweed New Haven Airport (HVN), approximately 19 miles south, a taxi or rideshare typically takes 25–30 minutes via Route 34 and I‑95 North. Public transit is available via local bus stops on Waterview Drive and Constitution Boulevard South, within a few minutes’ walk to the building entrance, offering convenient options for attendees without a car.

Bridgeport, CT – Regus at Downtown Bridgeport

1000 Lafayette Blvd Downtown, Suite 1100, Bridgeport, United States, 06604

The venue is centrally located in Bridgeport’s downtown core at 1000 Lafayette Boulevard, easily accessible by car via I‑95 and US‑1, with several parking garages nearby and on-site amenities. From Bradley International Airport (BDL), approximately 50 miles north, a taxi or rideshare typically takes 60–70 minutes via I‑84 and I‑95 South. For those using public transit, Metro-North Rail’s Bridgeport Station is about a 5-minute walk from the building, and local Greater Bridgeport Transit (GBT) buses serve stops along Broad and Fairfield Avenues, placing the venue within a short walk for commuters.

Explore Our Courses

TinyML: Running AI on Ultra-Low-Power Edge Devices

 21 Hours

This instructor-led, live training in Connecticut (online or onsite) is aimed at intermediate-level embedded engineers, IoT developers, and AI researchers who wish to implement TinyML techniques for AI-powered applications on energy-efficient hardware.

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

  • Understand the fundamentals of TinyML and edge AI.
  • Deploy lightweight AI models on microcontrollers.
  • Optimize AI inference for low-power consumption.
  • Integrate TinyML with real-world IoT applications.
Read more...

TinyML for IoT Applications

 21 Hours

This instructor-led, live training in Connecticut (online or onsite) is aimed at intermediate-level IoT developers, embedded engineers, and AI practitioners who wish to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications.

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

  • Understand the fundamentals of TinyML and its applications in IoT.
  • Set up a TinyML development environment for IoT projects.
  • Develop and deploy ML models on low-power microcontrollers.
  • Implement predictive maintenance and anomaly detection using TinyML.
  • Optimize TinyML models for efficient power and memory usage.
Read more...

Deploying AI on Microcontrollers with TinyML

 21 Hours

This instructor-led, live training in Connecticut (online or onsite) is aimed at intermediate-level embedded systems engineers and AI developers who wish to deploy machine learning models on microcontrollers using TensorFlow Lite and Edge Impulse.

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

  • Understand the fundamentals of TinyML and its benefits for edge AI applications.
  • Set up a development environment for TinyML projects.
  • Train, optimize, and deploy AI models on low-power microcontrollers.
  • Use TensorFlow Lite and Edge Impulse to implement real-world TinyML applications.
  • Optimize AI models for power efficiency and memory constraints.
Read more...

Introduction to TinyML

 14 Hours

This instructor-led, live training in Connecticut (online or onsite) is aimed at beginner-level engineers and data scientists who wish to understand TinyML fundamentals, explore its applications, and deploy AI models on microcontrollers.

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

  • Understand the fundamentals of TinyML and its significance.
  • Deploy lightweight AI models on microcontrollers and edge devices.
  • Optimize and fine-tune machine learning models for low-power consumption.
  • Apply TinyML for real-world applications such as gesture recognition, anomaly detection, and audio processing.
Read more...

Last Updated:

Upcoming Courses

Introduction to TinyML

2025-08-07 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

Deploying AI on Microcontrollers with TinyML

2025-08-25 9:30 am
21 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4054 (Online)
$ 4054 (Classroom)

Introduction to TinyML

2025-09-04 9:30 am
14 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 2703 (Online)
$ 2703 (Classroom)

TinyML for IoT Applications

2025-09-22 9:30 am
21 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4054 (Online)
$ 4054 (Classroom)

TinyML for IoT Applications

2025-10-06 9:30 am
21 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4054 (Online)
$ 4054 (Classroom)

Deploying AI on Microcontrollers with TinyML

2025-10-20 9:30 am
21 hours
Shelton, CT – Regus at One Reservoir Corporate Centre
$ 4054 (Online)
$ 4054 (Classroom)

Other regions in the US

Other Countries

These courses are also available in other countries

Consulting

TinyML Consulting
Online TinyML training in Connecticut, TinyML training courses in Connecticut, Weekend TinyML courses in Connecticut, Evening TinyML training in Connecticut, TinyML instructor-led in Connecticut, TinyML private courses in Connecticut, TinyML classes in Connecticut, TinyML boot camp in Connecticut, Online TinyML training in Connecticut, TinyML coaching in Connecticut, Weekend TinyML training in Connecticut, TinyML on-site in Connecticut, TinyML instructor in Connecticut, Evening TinyML courses in Connecticut, TinyML one on one training in Connecticut, TinyML trainer in Connecticut, TinyML instructor-led in Connecticut