Online or onsite, instructor-led live Reinforcement Learning training courses demonstrate through interactive hands-on practice how to create and deploy a Reinforcement Learning system.
Reinforcement 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. Cairo onsite live Reinforcement Learning trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Regus - Cairo Nile City Towers
North Tower, Nile City Towers, Cairo, egypt, 11624
Cornich El Nile, Ramelt Beaulac, North Tower, Nile City Towers, 22nd Floor, Cairo, 11624
The Nile City Towers Centre provides office space on the 22nd and 23rd floors of one of the most prestigious business addresses in the Egyptian capital next to the Nile.
Nile City Towers Center's facilities include video-conferencing and hotels and restaurants are close by. There is easy access by car and public transport. The city is served by an international airport.
Cairo - Four Seasons Hotel
1089 Corniche El Nil, Cairo, egypt
In the heart of Cairo on the banks of the River Nile, our Hotel opens the door to discovering Egypt’s 5,000-year-old ancient mysteries. Just a short drive away, set out to explore the majestic pyramids, the 1,000-year old market, the 12th-century citadel and the ancient Egyptian museum. Later, experience Cairo’s breathtaking sunset from the Nile on a traditional felucca, dine at our nine acclaimed restaurants, relive the pharaoh’s beauty secrets at the Spa or simply take an art tour to see the collection of contemporary local artwork that fills our halls.
Facilities: State-of-the-art audiovisual system
Motorized drop-down screens
Remote-controlled lighting
Wired or wireless high-speed e-mail and internet access
Cairo - Le Méridien Heliopolis
51 El Orouba Street, Cairo, egypt, 11341
Cairo International Airport (CAI)
Hotel direction: 5.0 miles E
Airport shuttle service, reservation required, complimentary
24 Hours, 7 days a week
Shuttle Phone: +20 2 22905055 Ext 0
Alternate transportation: General Authority For Roads; fee: 0.45 USD (one way) ;scheduled
Estimated taxi fare: 8 USD (one way)
Visit CAI airport website
Driving directions
Take Airport Rd and El-Orouba Continue a head ; Drive to al Galla bridge then straight until you find on your right hand Mobile station then U TUREN DRIVE A Head THEN here is the hotel on the right hand.
For any close bus station please note Almaza Bus Station
1.2 miles N from hotel
This instructor-led, live training in Cairo (online or onsite) is aimed at intermediate-level data scientists who wish to gain a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).
By the end of this training, participants will be able to:
Understand the components and functionality of transformer models.
Optimize and fine-tune LLMs for specific tasks and applications.
Understand the core principles and methodologies of reinforcement learning.
Learn how reinforcement learning techniques can enhance the performance of LLMs.
This instructor-led, live training in Cairo (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of reinforcement learning and its practical applications in AI development using Google Colab.
By the end of this training, participants will be able to:
Understand the core concepts of reinforcement learning algorithms.
Implement reinforcement learning models using TensorFlow and OpenAI Gym.
Develop intelligent agents that learn through trial and error.
Optimize agents' performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
Train agents in simulated environments using OpenAI Gym.
Deploy reinforcement learning models for real-world applications.
This instructor-led, live training in Cairo (online or onsite) is aimed at developers and data scientists who wish to learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent.
By the end of this training, participants will be able to:
Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning.
Apply advanced Reinforcement Learning algorithms to solve real-world problems.
This instructor-led, live training in Cairo (online or onsite) is aimed at data scientists who wish to go beyond traditional machine learning approaches to teach a computer program to figure out things (solve problems) without the use of labeled data and big data sets.
By the end of this training, participants will be able to:
Install and apply the libraries and programming language needed to implement Reinforcement Learning.
Create a software agent that is capable of learning through feedback instead of through supervised learning.
Program an agent to solve problems where decision making is sequential and finite.
Apply knowledge to design software that can learn in a way similar to how humans learn.
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