Atlanta, GA – Regus at Colony Squar

1201 Peachtree Street NE, Suite 200, Atlanta, United States, 30361

The venue is centrally located in Midtown Atlanta within the prominent Colony Square complex at 1201 Peachtree Street NE, easily accessed by car via I‑75/85 or GA‑400, with several parking garages nearby. From Hartsfield–Jackson Atlanta International Airport (ATL), around 15 miles south, a taxi or rideshare typically takes 20–30 minutes north along I‑75/85 N. Public transit users can take MARTA Rail to the Arts Center or Midtown stations (0.3–0.5 miles away) and walk easily, and numerous MARTA bus routes along Peachtree Street stop directly outside the entrance.

Atlanta, GA – The Proscenium

1170 Peachtree Street NE, Atlanta, United States, 30309

The venue is located in the heart of Midtown Atlanta in the Proscenium high–rise at 1170 Peachtree Street NE, easily accessible by car via I‑75/85 and GA‑400 with several parking garages nearby. Visitors arriving from Hartsfield–Jackson Atlanta International Airport (ATL), about 15 miles south, can expect a taxi or rideshare ride taking 20–30 minutes via I‑75/85 North. Public transit is seamless with MARTA Rail service; the Arts Center and Midtown stations are within walking distance (approximately 0.3–0.4 miles), and multiple MARTA bus routes also serve Peachtree Street.

Atlanta, GA – Regus at One Hartsfield

100 Hartsfield Centre Parkway, Suite 500, Atlanta, United States, 30354

The venue is located in the One Hartsfield Center office building, adjacent to Hartsfield–Jackson Atlanta International Airport, easily reached by car via I‑75/I‑85 or GA‑138, with abundant on-site parking. Visitors arriving from ATL airport can walk or take a shuttle to the building, or opt for a quick 2–3‑minute taxi or rideshare ride. Public transit users can board MARTA from the Airport Station and ride one stop to College Park Station, then catch a connecting shuttle or enjoy a brief walk of about half a mile.

Atlanta, GA – Regus at Peachtree

260 Peachtree Street NW, Suite 2200, Atlanta, United States, 30303

The venue is situated in the iconic Coastal States Building at 260 Peachtree Street in downtown Atlanta, accessible by car via I‑75/85 or I‑20 with convenient parking garages nearby. From Hartsfield–Jackson Atlanta International Airport (ATL), about 12 miles south, a taxi or rideshare along I‑75/85 North takes approximately 15–20 minutes. For public transit, MARTA rail users can disembark at Five Points Station and walk 0.5 miles northeast, or exit at Peachtree Center Station and walk two blocks north—both routes offering easy access.

Explore Our Courses

Ethics and Legal Aspects of Autonomous Driving

 14 Hours

This instructor-led, live training in Atlanta (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 Atlanta (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 Atlanta (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 Atlanta (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 Atlanta (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 Atlanta (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 Atlanta (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 Atlanta (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 Atlanta (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

Advanced Path Planning Algorithms for Autonomous Vehicles

2025-08-05 9:30 am
21 hours
Atlanta, GA – Regus at Colony Squar
$ 4054 (Online)
$ 4054 (Classroom)

Multi-Sensor Data Fusion for Autonomous Navigation

2025-08-19 9:30 am
21 hours
Atlanta, GA – The Proscenium
$ 4054 (Online)
$ 4054 (Classroom)

Autonomous Vehicle Safety and Risk Assessment

2025-09-02 9:30 am
21 hours
Atlanta, GA – Regus at One Hartsfield
$ 4054 (Online)
$ 4054 (Classroom)

Computer Vision for Autonomous Driving

2025-09-16 9:30 am
21 hours
Atlanta, GA – Regus at Peachtree
$ 4054 (Online)
$ 4054 (Classroom)

Advanced Path Planning Algorithms for Autonomous Vehicles

2025-09-30 9:30 am
21 hours
Atlanta, GA – Regus at Colony Squar
$ 4054 (Online)
$ 4054 (Classroom)

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