Online or onsite, instructor-led live TensorFlow training courses demonstrate through interactive discussion and hands-on practice how to use the TensorFlow system to facilitate research in machine learning, and to make it quick and easy to transition from research prototype to production system.
TensorFlow training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Doha onsite live TensorFlow trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Movenpick Hotel West Bay Doha
Diplomatic St., Doha, qatar
With airport transfers in our shuttle or limousine service, the Mövenpick Hotel West Bay Doha ensures seamless transportation. The following charges apply:
Limousine:
Pick-up charge: QR 100
Drop-off charge: QR 80
Round-trip transfer: QR 165
From the airport exit, head south and take a sharp right. Turn left toward Ras Abu Abboud St. going to Al Corniche Road. Continue straight and stay on Al Corniche Road; passing Al Dafna signal, make a U-turn at the next traffic signal. Continue straight and the hotel will be on your right hand side. The distance from the airport to the hotel is 21.2 km
Al Najada Doha Hotel
Barahat Al Jufairi Street, Al Najada, Doha, Qatar
The Al Najada Doha Hotel by Tivoli is a new and exciting architectural feat, boasting one-of-a-kind surroundings and a sumptuous modern design. Located in the heart of central Souq Al Najada, next to the historic marketplace Souq Waqif, the property is a tranquil oasis in energetic Doha, overlooking the exotic surrounds of a large elegant piazza and the glistening Arabian Gulf.
The hotel features 151 rooms and suites, each designed as a thoughtful Arabian sanctuary with the utmost satisfaction and indulgence in mind. Facilities combine true comforts, innovative amenities and enhanced privacy, meeting the desires of business guests, families and leisure travelers. Enjoy privileged views from the piazza terrace or gazing down from your own private balcony. Relax with adventure, exploration and relaxation at your fingertips in one of the most opulent hotels in Doha, Qatar. The hotel is located within walking distance of Souq Waqif Metro station, making it easy for you to get to your destination on time.
Overlooking a scenic urban piazza, features modern architectural details inspired by classic Qatari design. Plan out your Doha meetings ahead and take advantage of the perfect central location and a full range of exclusive corporate and leisure Tivoli experiences, including a business center, fitness center, outdoor swimming pool and curated travel itineraries by our Experiences Team.
the driving distance between Doha Airport (DOH) to Al Najada Doha Hotel by Tivoli is 13 km. It takes approximately 12 min to drive from Doha Airport (DOH) to Al Najada Doha Hotel by Tivoli.
Mondrian Doha
West Bay Lagoon, Mondrian Doha, Katar, Doha, Qatar
Mondrian’s transatlantic journey to Qatar’s Doha marked a new chapter in the evolution of the iconic brand. Located in a bustling entertainment and shopping district, Mondrian lights up the stellar Middle Eastern city with a vision of contemporary style and sophistication unlike any other. At Mondrian Doha, we have venues to suit every taste. Our Meeting Rooms provide over 50 square meters of versatile event space for up to 300 guests. Moonstone Ball room boasts 186 square meters of space, custom designed crystal chandelier installations, 24K gold elevators, and bespoke furniture. Rise is an elegant rooftop playground perched on the 27th floor of the Mondrian Doha that is also available for exclusive social events and special occasions. Experience underwater tranquillity and specialised treatments at ESPA’s Female and Male Spas and enjoy state-of-the-art equipment at the Fitness center. The driving distance between Doha Airport (DOH) to Mondrian Doha is 24 km. It takes approximately 21 min to drive from Doha Airport (DOH) to Mondrian Doha.
Sheraton Grand Doha Resort & Convention Hotel
Al Corniche, Al Corniche Street, Doha, Qatar
Come together with everything you need to escape and unwind at Sheraton Grand Doha. Take in the stunning views and the gorgeous sunsets — either from our beach resort or from your room balcony. Connect with your family and friends and relax in the comfort of our luxurious rooms and suites. Make the most of your time in the city while spending some quality time at the beach or at the outdoor pool and Jacuzzi. Get motivated to stay fit in our 24-hour fitness center and unwind in our lush garden. Immerse in art and history at the Museum of Islamic Art and National Museum of Qatar, take a stroll down Doha Corniche or The Pearl, or find trinkets to take home at Souq Waqif. Enjoy tastes that inspire in our 7 restaurants, bars and lounges. For large meetings, intimate gatherings and everything in between, allow us to bring your group together. Take advantage of our 25 flexible, fluid event spaces, perfect for purposeful gatherings. Our spaces are designed to bring people together.
Collaboration happens here. At Sheraton Grand Doha Resort & Convention Hotel, our events and services bring people together for community and productivity. We are an award-winning conference hotel, known for hosting major regional conferences.
For large business meetings, intimate get-togethers and everything in between, take advantage of our flexible, fluid spaces perfect for purposeful gatherings. We offer 25 customizable convention spaces comprising 10,300 square meters of total meeting space. Our largest venue, Al Dafna, easily accommodates up to 3,000 guests in a theater setting. Use our modern business center to prepare for your conference or trade show and take advantage of our fast and free Wi-Fi to stream a video during your presentation. Be your most productive self with us.
Servcorp Home
Level 21, Doha Tower, West Bay Street, Doha, Qatar
All meeting rooms and boardrooms are designed to the highest standards of interior styling, equipped with the finest leather, marble and original artwork. The latest AV and conferencing equipment, plus reliability of lightning-speed Internet complete the refined luxury available to you.
We provide: High speed and secure internet with 99.99% uptime, including in-house IT support team, projector, flip charts everything with the best quality.
About Location: Burj Doha, also known as Doha Tower, is Servcorp's third location in Qatar and is centrally located on the Corniche road in the diverse business district of West Bay. An extraordinary structure of concrete and steel, this tower was designed by the famous French architect Jean Nouvel and proudly stands as the 65th tallest building in the entire Middle East. This unique skyscraper has no central core, leaving more internal space available to its occupants. The tower is wrapped in a metal mesh facade inspired by the traditional Islamic ‘mashrabiya' design to shade the building from high temperatures.
AIRPORT:
20 minutes by car from Doha International Airport.
Kempinsky Hotel
West Bay, Doha, Qatar, 29922
Marsa Malaz Kempinski is located at The Pearl-Qatar, the recognizable man-made island off the coast of Doha.
The hotel is just a step away from numerous entertainment and dining options at Porto Arabia and Medina Centrale districts of The Pearl, and a 10-minute drive from the central business district of West Bay.
The new Hamad International Airport is 29km/30 mins away. Nearby landmarks include the Katara Cultural Village, a cultural hub showcasing art exhibitions as well as offering other cultural experiences for the residents in Qatar, the Doha Golf Club, a superior golf club in Qatar, and Lagoona Mall, the premium shopping experience in West Bay lagoon.
Airport Assistance
It is always a pleasure to assist you from the moment you arrive at Hamad International Airport. Please contact our Concierge at +974 40355555 or concierge.marsamalaz@kempinski.com and one of our representatives will be expecting you upon your exit in the Arrivals Hall. Our airport ambassador will be more than happy to assist you with inquiries, reservations, limousine bookings and information about Doha.
The hotel can assist you with your Al Maha Services reservations prior to your arrival or departure at Hamad International Airport.
Directions
From Hamad International Airport
Leaving the airport please follow the signs for Doha/West Bay. Continue along the expressway and the Corniche and at the end of the street, turn left to Omar Al Mukhtar St. Follow the signs to The Pearl and enter the island. Follow the signs to Qanat Quartier. At the first traffic light, make a u-turn followed by a right turn at the first street towards Qanat Quartier. At the roundabout, take the exit that drives you to the bridge of Marsa Malaz island.
Welcome to Marsa Malaz Kempinski, The Pearl - Doha.
This instructor-led, live training in Doha (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.
This instructor-led, live training in Doha (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:
Set up and navigate Google Colab for deep learning projects.
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.
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.
In this instructor-led, live training in Doha, 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:
Design and code DL for NLP using Python libraries.
Create Python code that reads a substantially huge collection of pictures and generates keywords.
Create Python Code that generates captions from the detected keywords.
This course is suitable for Deep Learning researchers and engineers interested in utilizing available tools (mostly open source) for analyzing computer images
This instructor-led, live training in Doha (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.
In this instructor-led, live training in Doha (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:
Train, export and serve various TensorFlow models.
Test and deploy algorithms using a single architecture and set of APIs.
Extend TensorFlow Serving to serve other types of models beyond TensorFlow models.
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
This instructor-led, live training in Doha (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:
Install and configure TFX and supporting third-party tools.
Use TFX to create and manage a complete ML production pipeline.
Work with TFX components to carry out modeling, training, serving inference, and managing deployments.
Deploy machine learning features to web applications, mobile applications, IoT devices and more.
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
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, embedding terms, building graphs and logging
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 - 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
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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Testimonials (4)
The training was organized and well-planned out, and I come out of it with systematized knowledge and a good look at topics we looked at
Magdalena - Samsung Electronics Polska Sp. z o.o.
Course - Deep Learning with TensorFlow 2
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
Course - TensorFlow Extended (TFX)
Very knowledgeable
Usama Adam - TWPI
Course - Natural Language Processing with TensorFlow
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
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