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

Explore Our Courses

Ethics and Legal Aspects of Autonomous Driving

 14 Hours
This instructor-led, live training in Cairo (online or onsite) is aimed at beginner-level professionals who wish to explore the ethical dilemmas and legal frameworks surrounding autonomous vehicles. By the end of this training, participants will be able to:
  • Understand the ethical implications of AI-driven decision-making in autonomous vehicles.
  • Analyze global legal frameworks and policies regulating self-driving cars.
  • Examine liability and accountability in the event of autonomous vehicle accidents.
  • Evaluate the balance between innovation and public safety in autonomous driving laws.
  • Discuss real-world case studies involving ethical dilemmas and legal disputes.
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Introduction to Autonomous Vehicles: Concepts and Applications

 14 Hours
This instructor-led, live training in Cairo (online or onsite) is aimed at beginner-level professionals and enthusiasts who wish to understand the fundamental concepts, technologies, and applications of autonomous vehicles. By the end of this training, participants will be able to:
  • Understand the key components and working principles of autonomous vehicles.
  • Explore the role of AI, sensors, and real-time data processing in self-driving systems.
  • Analyze different levels of vehicle autonomy and their real-world applications.
  • Examine the ethical, legal, and regulatory aspects of autonomous mobility.
  • Gain hands-on exposure to autonomous vehicle simulations.
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Vehicle-to-Everything (V2X) Communication for Autonomous Cars

 21 Hours
This instructor-led, live training in Cairo (online or onsite) is aimed at intermediate-level network engineers and automotive IoT developers who wish to understand and implement V2X communication technologies for autonomous vehicles. By the end of this training, participants will be able to:
  • Understand the fundamental concepts of V2X communication.
  • Analyze V2V, V2I, V2P, and V2N communication models.
  • Implement V2X protocols such as DSRC and C-V2X.
  • Develop simulations for connected vehicle environments.
  • Address cybersecurity and privacy challenges in V2X networks.
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Sensor Technologies in Autonomous Vehicles

 21 Hours
This instructor-led, live training in Cairo (online or onsite) is aimed at intermediate-level engineers, automotive professionals, and IoT specialists who wish to understand the role of sensors in self-driving cars, covering LiDAR, radar, cameras, and sensor fusion techniques. By the end of this training, participants will be able to:
  • Understand the different types of sensors used in autonomous vehicles.
  • Analyze sensor data for real-time vehicle perception and decision-making.
  • Implement sensor fusion techniques to improve vehicle accuracy and safety.
  • Optimize sensor placement and calibration for enhanced autonomous driving performance.
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Autonomous Vehicle Safety and Risk Assessment

 21 Hours
This instructor-led, live training in Cairo (online or onsite) is aimed at advanced-level safety engineers and automotive safety professionals who wish to develop comprehensive safety strategies for autonomous vehicles, including hazard analysis, functional safety assessments, and compliance with international standards. By the end of this training, participants will be able to:
  • Identify and assess safety risks associated with autonomous driving systems.
  • Conduct hazard analysis and risk assessment using industry standards.
  • Implement safety validation and verification methods for AV systems.
  • Apply functional safety standards, such as ISO 26262 and SOTIF.
  • Develop risk mitigation strategies for AV safety challenges.
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Multi-Sensor Data Fusion for Autonomous Navigation

 21 Hours
This instructor-led, live training in Cairo (online or onsite) is aimed at advanced-level sensor fusion specialists and AI engineers who wish to develop multi-sensor fusion algorithms and optimize real-time navigation in autonomous systems. By the end of this training, participants will be able to:
  • Understand the fundamentals and challenges of multi-sensor data fusion.
  • Implement sensor fusion algorithms for real-time autonomous navigation.
  • Integrate data from LiDAR, cameras, and RADAR for perception enhancement.
  • Analyze and evaluate fusion system performance under various conditions.
  • Develop practical solutions for sensor noise reduction and data alignment.
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Computer Vision for Autonomous Driving

 21 Hours
This instructor-led, live training in Cairo (online or onsite) is aimed at intermediate-level AI developers and computer vision engineers who wish to build robust vision systems for autonomous driving applications.By the end of this training, participants will be able to:
  • Understand the fundamental concepts of computer vision in autonomous vehicles.
  • Implement algorithms for object detection, lane detection, and semantic segmentation.
  • Integrate vision systems with other autonomous vehicle subsystems.
  • Apply deep learning techniques for advanced perception tasks.
  • Evaluate the performance of computer vision models in real-world scenarios.
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Advanced Path Planning Algorithms for Autonomous Vehicles

 21 Hours
This instructor-led, live training in Cairo (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to implement sophisticated path planning algorithms to enhance autonomous vehicle performance.By the end of this training, participants will be able to:
  • Understand the theoretical foundations of advanced path planning algorithms.
  • Implement algorithms such as RRT*, A*, and D* for real-time navigation.
  • Optimize path planning for obstacle avoidance and dynamic environments.
  • Integrate path planning algorithms with sensor data for enhanced accuracy.
  • Evaluate the performance of various algorithms in practical scenarios.
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AI and Deep Learning for Autonomous Driving

 21 Hours
This instructor-led, live training in Cairo (online or onsite) is aimed at advanced-level data scientists, AI specialists, and automotive AI developers who wish to build, train, and optimize AI models for autonomous driving applications. By the end of this training, participants will be able to:
  • Understand the fundamentals of AI and deep learning in the context of autonomous vehicles.
  • Implement computer vision techniques for real-time object detection and lane following.
  • Utilize reinforcement learning for decision-making in self-driving systems.
  • Integrate sensor fusion techniques for better perception and navigation.
  • Build deep learning models to predict and analyze driving scenarios.
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Upcoming Courses

Sensor Technologies in Autonomous Vehicles

2025-06-24 09:30
21 hours
Regus - Cairo Nile City Towers
4,365 USD (Online)
5,115 USD (Classroom)

Computer Vision for Autonomous Driving

2025-07-08 09:30
21 hours
Cairo - Four Seasons Hotel
4,365 USD (Online)
6,165 USD (Classroom)

Introduction to Autonomous Vehicles: Concepts and Applications

2025-07-22 09:30
14 hours
Cairo - Le Méridien Heliopolis
2,910 USD (Online)
3,910 USD (Classroom)

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