Noida, Sector 62 - Classroom

A-42 4, 42/4, Industrial Area, Sector 62, Noida, india, 201309

Classroom is well connected by different modes of transportation and is in close proximity of various civic utilities. The classroom is well equipped with all modern amenities and 24X7 security service to facilitate the business needs. It is close to the NH-24 and flanked by wide 60m and 30 m roads for smooth accessibility. It is 750 mts from Fortis Hospital, 10 mins drive from Anand Vihar (ISBT), 10 mins drive from Akshardham, 28 mins from IGI Airport, 20 mins from Nehru Place and 18 mins from Connaught Place

It takes 8 minutes to travel from Noida City Center Metro Station to Noida Sector 62. Approximate driving distance between Noida City Center Metro Station and Noida Sector 62 is 7 kms or 4.3 miles or 3.8 nautical miles . Travel time refers to the time taken if the distance is covered by a car.

The classroom is located near prime eateries like Pind Baluchi, Ancient Barbeque, Yellow Chilli and is nearby to the HDFC branch and Ginger Hotel.

Details about Classroom

All the centres have state of the art audio/video webinars/seminars and presentation solutions. We also provide one-on-one Training sessions upon request. We encourage our students and delegates to bring along their own laptops during the exercises, as this helps in retaining the examples and handson exercises in their systems for post-session reference. 

For Sales Enquires and Meetings

All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.

Explore Our Courses

Ethics and Legal Aspects of Autonomous Driving

14 Hours

Introduction to Autonomous Vehicles: Concepts and Applications

14 Hours

Vehicle-to-Everything (V2X) Communication for Autonomous Cars

21 Hours

Sensor Technologies in Autonomous Vehicles

21 Hours

Autonomous Vehicle Safety and Risk Assessment

21 Hours

Multi-Sensor Data Fusion for Autonomous Navigation

21 Hours

Computer Vision for Autonomous Driving

21 Hours

Advanced Path Planning Algorithms for Autonomous Vehicles

21 Hours

AI and Deep Learning for Autonomous Driving

21 Hours

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Upcoming Courses

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