Machine Learning Training in Riyadh

Online or onsite, instructor-led live Machine Learning (ML) training courses demonstrate through hands-on practice how to apply machine learning techniques and tools for solving real-world problems in various industries. NobleProg ML courses cover different programming languages and frameworks, including Python, R language and Matlab. Machine Learning courses are offered for a number of industry applications, including Finance, Banking and Insurance and cover the fundamentals of Machine Learning as well as more advanced approaches such as Deep Learning.

Machine Learning 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. Onsite live Machine Learning trainings in Riyadh can be carried out locally on customer premises or in NobleProg corporate training centers.

NobleProg -- Your Local Training Provider

Image of NobleProg Training Place, City Sheraton Riyadh Hotel & Towers

Olaya Junction of King Fahad and King Abdullah Road, Riyadh, Saudi Arabia, 11623

King Khaled International Airport (RUH) Airport Phone: +966 9200 20090 Hotel direction: 21.1 miles N This hotel does not provide shuttle service. Estimated taxi fare: 150 SAR (one way) Visit RUH airport website Driving directions Continue to Airport Road/Route 539, Head southeast, Continue straight, Keep rightContinue on Route 539 to Northern Ring Rd/Route 40/Route 80M. Exit from Route 539, Merge onto Airport Road/Route 539, Take the exit toward Route 53, Continue onto Route 539, Exit onto Northern Ring Rd/Route 40/Route 80MContinue on Northern Ring Rd/Route 40/Route 80M. Take King Fahd Rd/Route 65 to No. 108, Merge onto Northern Ring Rd/Route 40/Route 80M, Slight right onto the ramp to King Fahd Rd/Route 65, Keep left at the fork and merge onto King Fahd Rd/Route 65, Exit onto King Fahd Branch Rd, Sharp left toward King Abdullah Branch Rd, Turn right at the 1st cross street toward King Abdullah Branch Rd, Merge onto King Abdullah Branch Rd, Turn right onto Wadi Al Batin, Turn right onto No. 108, Destination will be on the right, Sheraton Riyadh Hotel & Towers.

Image of NobleProg Training Place, City Riyadh Marriot Hotel

King Saud Road, Al Wazarat Street, Riyadh, Saudi Arabia, 11464

Those hosting events will be delighted with our 39,858 square feet of venue space and exquisite catering. If you'd like to explore, Kingdom Centre Tower, King Abdulaziz Historical Center and the National Museum of Saudi Arabia are all within reach. Enjoy a memorable getaway at Riyadh Marriott Hotel. Directions: From King Khalid International Airport, exit from airport onto the main highway towards Eastern Ring Road. Take exit onto Makkah Al Mukarramah Road. Turn slightly right onto the Al Ma’ather Street and take the first left to stay on Al Ma’ather Street seeing the Riyadh Marriott Hotel on your right side. To reach on time from airport you can follow instructions: Airport shuttle service, reservation required, fee: 200 SAR (one way) Shuttle Phone: +966 11 4779300 Ext 7171 Alternate transportation: Abu Diyab Rent-A-Car; fee: 200 SAR (one way) ;reservation required Estimated taxi fare: 110 SAR (one way) In meeting rooms, facilities like AV equipment,Film projector, LCD projector, Microphone, Overhead projector, PA system portable, Rear screen projection, Stage: portable, TV, TV production service provider, Video camera, Walkie talkie radios can be provided.

Image of NobleProg Training Place, City Regus without photo.

Hugayat Tower, 28th floor, Riyadh, Saudi Arabia

The Kingdom Center is located in Riyadh city, the capital of Saudi Arabia, and is the 25th highest building in the world - voted "Skyscraper of the Year 2002". A quality complex, consisting of a 77 Floor Tower and East and West Podiums. The business centre is located on the 28th floor. The building also contains a highly prestigious shopping Mall, a 5-star Four Seasons Hotel with a modern celebration hall and conference centre, and luxurious residential apartments complete with fitness club facilities and a variety of the finest international restaurants. Impressive contemporary meeting rooms in Riyadh. Customise a space and adapt it for your needs – every one is equipped with the tools you need for a successful pitch or presentation. Fast internet, whiteboards and flip charts are all ready for you. Add videoconferencing for remote meetings, projectors for more visual impact, and even book catering for your guests in advance.

Subcategories (10)

14 Hours

Tensorflow Lite for Microcontrollers

21 Hours

Last Updated: 2025-04-30

Testimonials (24)

Hunter is fabulous, very engaging, extremely knowledgeable and personable. Very well done.

Rick Johnson - Laramie County Community College

Course - Artificial Intelligence (AI) Overview

the VM is a nice idea

Vincent - REGNOLOGY ROMANIA S.R.L.

Course - Fundamentals of Artificial Intelligence (AI) and Machine Learning

I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.

Jenna - TCMT

Course - Machine Learning with Python – 2 Days

The clarity with which it was presented

John McLemore - Motorola Solutions

Course - Deep Learning for Telecom (with Python)

the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

Guillaume GAUTIER - OLEA MEDICAL

Course - MLflow

The way of transferring knowledge and the knowledge of the trainer.

Jakub Rekas - Bitcomp Sp. z o.o.

Course - Machine Learning on iOS

The explaination

Wei Yang Teo - Ministry of Defence, Singapore

Course - Machine Learning with Python – 4 Days

I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.

Guillaume Gautier - OLEA MEDICAL | Improved diagnosis for life TM

Course - Kubeflow

The enthusiasm to the topic. The examples he made an he explained it very well. Sympatic. A little to detailed for beginners. For managers, it could be more abstract in fewer days. But it was designed to fit and we had a good alignment in advance.

Benedikt Chiandetti - HDI Deutschland Bancassurance Kundenservice GmbH

Course - Machine Learning Concepts for Entrepreneurs and Managers

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

Convolution filter

Francesco Ferrara

Course - Introduction to Machine Learning

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

The trainer was a professional in the subject field and related theory with application excellently

Fahad Malalla - Tatweer Petroleum

Course - Applied AI from Scratch in Python

I liked the lab exercises.

Marcell Lorant - L M ERICSSON LIMITED

Course - Machine Learning

In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.

Sacha Nandlall

Course - Python for Advanced Machine Learning

Very flexible.

Frank Ueltzhoffer

Course - Artificial Neural Networks, Machine Learning and Deep Thinking

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

Paul Lee

Course - TensorFlow for Image Recognition

I liked the new insights in deep machine learning.

Josip Arneric

Course - Neural Network in R

We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company.

Sebastiaan Holman

Course - Machine Learning and Deep Learning

The global overview of deep learning.

Bruno Charbonnier

Course - Advanced Deep Learning

The topic is very interesting.

Wojciech Baranowski

Course - Introduction to Deep Learning

Ann created a great environment to ask questions and learn. We had a lot of fun and also learned a lot at the same time.

Gudrun Bickelq

Course - Introduction to the use of neural networks

It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.

Jonathan Blease

Course - Artificial Neural Networks, Machine Learning, Deep Thinking

Upcoming Courses

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Machine Learning Training in Riyadh

Sheraton Riyadh Hotel & Towers

Riyadh Marriot Hotel

Regus

Subcategories (10)

Deep Learning

Fine-Tuning

Federated Learning

Reinforcement Learning

TinyML

Explainable AI (XAI)

MLOps

Supervised Learning

Unsupervised Learning

Ensemble Learning

Explore Our Courses

Introduction to Pre-trained Models

Advanced Machine Learning Models with Google Colab

Creating Custom Chatbots with Google AutoML

Optimizing AI Models for Edge Devices

Building AI Solutions on the Edge

Edge AI with TensorFlow Lite

AI-Powered Autonomous Systems

AI-Enhanced Yield Management in Semiconductor Production

Advanced AI Techniques for Semiconductor Design Automation

AI-Driven Process Optimization in Chip Fabrication

Apache Airflow for Data Science: Automating Machine Learning Pipelines

Advanced Stable Diffusion: Deep Learning for Text-to-Image Generation

AI-Powered Cybersecurity: Advanced Threat Detection & Response

Machine Learning with Google Colab

AI-Powered Cybersecurity: Threat Detection & Response

AlphaFold

Data Mining with Weka

Advanced Analytics with RapidMiner

Introduction to Stable Diffusion for Text-to-Image Generation

Machine Learning with Python – 2 Days

Machine Learning with Python – 4 Days

AdaBoost Python for Machine Learning

AutoML with Auto-Keras

AutoML