Kansas City, MO - Regus – Two Pershing Square (Crown Center)

2300 Main St, Kansas City, United States, 64108

Regus in Two Pershing Square is located just steps from Union Station and is easily accessible by car using Interstate 70, with secure underground parking and skywalk access direct to the building. Travelers from Kansas City International Airport (MCI) can reach the venue in approximately 20 to 25 minutes by taxi or rideshare via I‑70. Public transit users can take the KCATA bus or the free downtown streetcar to Union Station, then walk through the skywalk before taking the elevator to the 9th floor.
NobleProg Training Place, City Jefferson City, MO - Jefferson and High

Jefferson City, MO - Jefferson and High

227 Jefferson Street, Jefferson City, United States,  65101

Jefferson and High is centrally located on Jefferson Street, within easy reach by car, with public parking garages and metered street parking nearby. Guests arriving via Jefferson City Memorial Airport (BCY) can reach the venue in approximately 10 minutes by taxi or rideshare via Highway 54/63 into downtown. Public transit users will find JeffTran bus routes stopping a short walk away on Capitol Avenue, offering seamless access for attendees throughout the city
NobleProg Training Place, City Louis, MO - Regus – Central West End

Louis, MO - Regus – Central West End

4625 Lindell Blvd, St. Louis, United States, 63108

Located on Lindell Boulevard in the Central West End, this Regus center is easily accessible by car using Interstates 64 or 44, with secure underground and surface parking available nearby. Visitors arriving via St. Louis Lambert International Airport (STL) typically reach the venue in 15–20 minutes by taxi or rideshare via I‑70 and Forest Park Expressway. Public transit users can take MetroLink to the Central West End station, followed by a short walk on Lindell to reach the facility.

Kansas City, MO - Plexpod Crossroads

1712 Main Street, Kansas City, United States, 64108

Plexpod Crossroads is situated in downtown Kansas City's Crossroads Arts District and is easily reached by car, with free three-hour street parking and paid daily lots nearby. Visitors arriving from Kansas City International Airport (MCI) can expect a 20–25 minute taxi or rideshare trip via I‑70 into downtown. Public transit and streetcar access are seamless, with lines stopping just one block away—then it’s a short walk into the building.

Explore Our Courses

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

 21 Hours

This instructor-led, live training in Missouri (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.
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TinyML for IoT Applications

 21 Hours

This instructor-led, live training in Missouri (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.
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Deploying AI on Microcontrollers with TinyML

 21 Hours

This instructor-led, live training in Missouri (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.
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Introduction to TinyML

 14 Hours

This instructor-led, live training in Missouri (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...

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Upcoming Courses

Introduction to TinyML

2025-08-07 9:30 am
14 hours
Kansas City, MO - Plexpod Crossroads
$ 2703 (Online)
$ 3503 (Classroom)

Deploying AI on Microcontrollers with TinyML

2025-08-25 9:30 am
21 hours
Kansas City, MO - Regus – Two Pershing Square (Crown Center)
$ 4054 (Online)
$ 4054 (Classroom)

Introduction to TinyML

2025-09-04 9:30 am
14 hours
Kansas City, MO - Plexpod Crossroads
$ 2703 (Online)
$ 3503 (Classroom)

TinyML for IoT Applications

2025-09-22 9:30 am
21 hours
Kansas City, MO - Regus – Two Pershing Square (Crown Center)
$ 4054 (Online)
$ 4054 (Classroom)

TinyML for IoT Applications

2025-10-06 9:30 am
21 hours
Kansas City, MO - Plexpod Crossroads
$ 4054 (Online)
$ 5254 (Classroom)

Deploying AI on Microcontrollers with TinyML

2025-10-20 9:30 am
21 hours
Kansas City, MO - Regus – Two Pershing Square (Crown Center)
$ 4054 (Online)
$ 4054 (Classroom)

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