NY, Long Island - Bohemia

80 Orville Drive Suite 100, Bohemia, united states, 11716

The venue is located just across the road from the Puritan's Pride Vitamin Factory Outlet and the Leidel Corporation building, just up the road from FedEx.

PA, Pittsburgh - Penn Center East Monroeville

201 Penn Center Boulevard Suite 400, Pittsburgh, United states, 15235

The venue is located in the neighborhood of the Penn Center, on the opposite side of the street to the Rey Azteca and Yamato restaurants and in the same building as Pearce Orthodontics.

NY, Brooklyn - One Pierrepont Plaza

300 Cadman Plaza West, New York, united states, 11201

One Pierrepont Plaza is accessible via 12 nearby subway and bus lines. The building is conveniently located near the Brooklyn Bridge, the Manhattan Bridge and the Brooklyn-Queens Expressway. Long Island Rail Road within walking distance and 5 minutes to downtown Manhattan.

NY, Long Island - New Hyde Park

1979 Marcus Ave Suite 210, Long Island, united states, 11042

The Center is located within three miles from The Long Island Expressway, Northern State Parkway and MTA bus. There is fast access to amenities close by and an easy commute to the city with only 15 minutes drive to LaGuardia and Kennedy Airports.

CT, Stamford - Downtown

One Stamford Plaza, Stamford, united states, 06901

The venue is located just opposite of the Stamford Mariott Hotel & Spa and in the vicinity of the Stamford Town Center, H&M and Barnes&Noble.

CT, Hartford - Downtown

CT, Hardford - Downtown, 100 Pearl Street 14th floor, Hartford, united states, 06103

The venue is located right at the heart of the city's business district in the Greater Hartford Welcome Center, just opposite of the Pearl St and Lewis St bus station. This impressive two-tower office building features a three-story granite and glass lobby its own gym and a secure underground parking.

CT, East Berlin - East Berlin

East Berlin, 1224 Mill St. Building B - Suite 224, East Berlin, united states, 06023

The venue is located just off of Mill St in the vicinity of Haven, Inc.

PA, Philadelphia - International Plaza Dr Suite

1 International Plaza Dr Suite 550, Philadelphia, united states, 19153

The Center lies in the heart of Philadelphia with excellent highway access to I-95. It is in a short distance to City Center train depot, SEPTA bus and offers shuttle service to nearby Philadelphia International Airport.

NY, Queens - Forest Hills Tower

Queens Blvd Suite 400, New York, united states, 11375

This venue is situated on the corner with Grand Central Parkway / Jackie Robinson Parkway giving you quick subway access. It is conveniently located in less than 30 minutes from Long Island and only 15 minutes away from JFK and LaGuardia Airports.

NY, Staten Island - 1120 South Avenue

1120 South Ave, Staten Island, united states, 10314

This location is located right off the Staten Island Expressway, 6 miles from Historic Richmond Town and 7 miles from the Staten Island Ferry to Lower Manhattan.

Explore Our Courses

Computer Vision with Google Colab and TensorFlow

 21 Hours
This instructor-led, live training in New York (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of computer vision and explore TensorFlow's capabilities for developing sophisticated vision models using Google Colab. By the end of this training, participants will be able to:
  • Build and train convolutional neural networks (CNNs) using TensorFlow.
  • Leverage Google Colab for scalable and efficient cloud-based model development.
  • Implement image preprocessing techniques for computer vision tasks.
  • Deploy computer vision models for real-world applications.
  • Use transfer learning to enhance the performance of CNN models.
  • Visualize and interpret the results of image classification models.
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Deep Learning with TensorFlow in Google Colab

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This instructor-led, live training in New York (online or onsite) is aimed at intermediate-level data scientists and developers who wish to understand and apply deep learning techniques using the Google Colab environment. By the end of this training, participants will be able to:
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  • Understand the fundamentals of neural networks.
  • Implement deep learning models using TensorFlow.
  • Train and evaluate deep learning models.
  • Utilize advanced features of TensorFlow for deep learning.
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Applied AI from Scratch

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This is a 4 day course introducing AI and it's application. There is an option to have an additional day to undertake an AI project on completion of this course. 
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Deep Learning for NLP (Natural Language Processing)

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In this instructor-led, live training in New York, participants will learn to use Python libraries for NLP as they create an application that processes a set of pictures and generates captions.  By the end of this training, participants will be able to:
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  • Create Python code that reads a substantially huge collection of pictures and generates keywords.
  • Create Python Code that generates captions from the detected keywords.
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Deep Learning for Vision

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Audience This course is suitable for Deep Learning researchers and engineers interested in utilizing available tools (mostly open source) for analyzing computer images This course provide working examples.
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Fraud Detection with Python and TensorFlow

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This instructor-led, live training in New York (online or onsite) is aimed at data scientists who wish to use TensorFlow to analyze potential fraud data. By the end of this training, participants will be able to:
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  • Build linear regressions and linear regression models to predict fraud.
  • Develop an end-to-end AI application for analyzing fraud data.
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Deep Learning with TensorFlow 2

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This instructor-led, live training in New York (online or onsite) is aimed at developers and data scientists who wish to use Tensorflow 2.x to build predictors, classifiers, generative models, neural networks and so on. By the end of this training, participants will be able to:
  • Install and configure TensorFlow 2.x.
  • Understand the benefits of TensorFlow 2.x over previous versions.
  • Build deep learning models.
  • Implement an advanced image classifier.
  • Deploy a deep learning model to the cloud, mobile and IoT devices.
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TensorFlow Serving

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In this instructor-led, live training in New York (online or onsite), participants will learn how to configure and use TensorFlow Serving to deploy and manage ML models in a production environment. By the end of this training, participants will be able to:
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  • Extend TensorFlow Serving to serve other types of models beyond TensorFlow models.
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Deep Learning with TensorFlow

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TensorFlow is a 2nd Generation API of Google's open source software library for Deep Learning. The system is designed to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system. Audience This course is intended for engineers seeking to use TensorFlow for their Deep Learning projects After completing this course, delegates will:
  • understand TensorFlow’s structure and deployment mechanisms
  • be able to carry out installation / production environment / architecture tasks and configuration
  • be able to assess code quality, perform debugging, monitoring
  • be able to implement advanced production like training models, building graphs and logging
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TensorFlow for Image Recognition

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This course explores, with specific examples, the application of Tensor Flow to the purposes of image recognition Audience This course is intended for engineers seeking to utilize TensorFlow for the purposes of Image Recognition After completing this course, delegates will be able to:
  • understand TensorFlow’s structure and deployment mechanisms
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  • assess code quality, perform debugging, monitoring
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TensorFlow Extended (TFX)

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This instructor-led, live training in New York (online or onsite) is aimed at data scientists who wish to go from training a single ML model to deploying many ML models to production. By the end of this training, participants will be able to:
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TPU Programming: Building Neural Network Applications on Tensor Processing Units

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Natural Language Processing (NLP) with TensorFlow

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TensorFlow™ is an open source software library for numerical computation using data flow graphs. SyntaxNet is a neural-network Natural Language Processing framework for TensorFlow. Word2Vec is used for learning vector representations of words, called "word embeddings". Word2vec is a particularly computationally-efficient predictive model for learning word embeddings from raw text. It comes in two flavors, the Continuous Bag-of-Words model (CBOW) and the Skip-Gram model (Chapter 3.1 and 3.2 in Mikolov et al.). Used in tandem, SyntaxNet and Word2Vec allows users to generate Learned Embedding models from Natural Language input. Audience This course is targeted at Developers and engineers who intend to work with SyntaxNet and Word2Vec models in their TensorFlow graphs. After completing this course, delegates will:
  • understand TensorFlow’s structure and deployment mechanisms
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Understanding Deep Neural Networks

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This course begins with giving you conceptual knowledge in neural networks and generally in machine learning algorithm, deep learning (algorithms and applications). Part-1(40%) of this training is more focus on fundamentals, but will help you choosing the right technology : TensorFlow, Caffe, Theano, DeepDrive, Keras, etc. Part-2(20%) of this training introduces Theano - a python library that makes writing deep learning models easy. Part-3(40%) of the training would be extensively based on Tensorflow - 2nd Generation API of Google's open source software library for Deep Learning. The examples and handson would all be made in TensorFlow. Audience This course is intended for engineers seeking to use TensorFlow for their Deep Learning projects After completing this course, delegates will:
  • have a good understanding on deep neural networks(DNN), CNN and RNN
  • understand TensorFlow’s structure and deployment mechanisms
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Testimonials (4)

The trainer explained the content well and was engaging throughout. He stopped to ask questions and let us come to our own solutions in some practical sessions. He also tailored the course well for our needs.

Robert Baker

Course - Deep Learning with TensorFlow 2.0

Tomasz really know the information well and the course was well paced.

Raju Krishnamurthy - Google

Course - TensorFlow Extended (TFX)

Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject

Ali Kattan - TWPI

Course - Natural Language Processing with TensorFlow

Very updated approach or CPI (tensor flow, era, learn) to do machine learning.

Paul Lee

Course - TensorFlow for Image Recognition

Upcoming Courses

Understanding Deep Neural Networks

2025-06-02 9:30 am
35 hours
PA, Philadelphia - International Plaza Dr Suite
$ 5550 (Online)
$ 8050 (Classroom)

Deep Learning with TensorFlow 2

2025-06-11 9:30 am
21 hours
NY, Queens - Forest Hills Tower
$ 4054 (Online)
$ 5554 (Classroom)

TPU Programming: Building Neural Network Applications on Tensor Processing Units

2025-06-25 9:30 am
7 hours
NY, Staten Island - 1120 South Avenue
$ 1344 (Online)
$ 1844 (Classroom)

Deep Learning for NLP (Natural Language Processing)

2025-07-14 9:30 am
28 hours
NY, Long Island - Bohemia
$ 5405 (Online)
$ 7405 (Classroom)

TensorFlow for Image Recognition

2025-07-28 9:30 am
28 hours
PA, Pittsburgh - Penn Center East Monroeville
$ 5405 (Online)
$ 7405 (Classroom)

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