Raspberry Pi Training in Ghaziabad

Raspberry Pi Training in Ghaziabad

Local, instructor-led live Raspberry Pi training courses demonstrate through interactive hands-on practice how to program a Raspberry Pi system that interfaces with the physical world.

Raspberry Pi training is available as "onsite live training" or "remote live training". Ghaziabad onsite live Raspberry Pi trainings can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

NobleProg -- Your Local Training Provider

Ghaziabad, Meerut Road
A -1/1, Site 3, Near ICICI Bank ATM, NCR, Meerut Road, Sihani Chungi, Ghaziabad, Uttar Pradesh 201003 Near Movie World Cinema
Ghaziabad, UP 201003
India
Uttar Pradesh IN
Ghaziabad, Meerut Road
Learn Raspberry Pi in our training center in Ghaziabad.

Nearby Sihani Chungi Police Chauki, Mahalakshmi College for Girls, UTI PAN Card Centre, Ghaziabad railway station 3.9 KM, Ghaziabad Bus Stand 2 KM, Raj Nagar, Extension, Drizzling Land Water and Amusement Park.

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...

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Ghaziabad, Kavi Nagar
KM-35, Kavi Nagar, Ghaziabad, Uttar Pradesh 201002 Near Hotel Tushar Elegant
Ghaziabad, UP 201002
India
Uttar Pradesh IN
Ghaziabad, Kavi Nagar
Learn Raspberry Pi in our training center in Ghaziabad. Read more
Ghaziabad, Rajnagar District Center - Classroom
A-4, RDC, Opposite HDFC Bank, Raj Nagar, Ghaziabad, Uttar Pradesh 201002 Near Gaur Central Mall, opposite to Dominos and Cafe Coffee Day
Ghaziabad, UP 201002
India
Uttar Pradesh IN
Ghaziabad, Rajnagar District Center - Classroom
Learn Raspberry Pi in our training center in Ghaziabad.

It takes 14 minutes to travel from Center to Vaishali Metro Station. Approximate driving distance between Center and Vaishali Metro Station is 12 kms or 7.5 miles or 6.5 nautical miles . Nearby the localities like Kavi Nagar, Shastri Nagar, Nehru Nagar, Lohiya Nagar and Arya Nagar. 
The centre has a sufficient parking space available and is well located in nearby resturants like Berco's, Cafe Coffee Day, Dominos, Keventers, Handi, Pind Baluchi, Food Workshop and Gaur Central...

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Ghaziabad, Shastri Nagar - Classroom
Learn Raspberry Pi in our training center in Ghaziabad.

It takes 14 minutes to travel from Centre to Vaishali Metro Station. Approximate driving distance between Centre and Vaishali Metro Station is 13 kms or 8 miles or 7 nautical miles. Nearby the localities like Kavi Nagar, Raj Nagar,  Nehru Nagar, Lohiya Nagar and Arya Nagar. 
The centre has a sufficient parking space available and is well located nearby resturants like Giani's, Pizza Grill and Punjabi Town. 

Details about...

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Ghaziabad, RDC, Raj Nagar - Classroom
7th Floor, Plot A-12, Aditya corporate hub, RDC Rajnagar, Ghaziabad, Uttar Pradesh 201002 Near Gaur Central Mall, opposite to Dominos and Cafe Coffee Day
Ghaziabad, UP 201002
India
Uttar Pradesh IN
Ghaziabad, RDC, Raj Nagar - Classroom
Learn Raspberry Pi in our training center in Ghaziabad.

It takes 14 minutes to travel from Centre to Vaishali Metro Station. Approximate driving distance between Centre and Vaishali Metro Station is 12 kms or 7.5 miles or 6.5 nautical miles . RDC is located near by the localities like Kavi Nagar, Shastri Nagar, Nehru Nagar, Lohiya Nagar and Arya Nagar. 
The centre has a sufficient parking space available and is well located in the nearby resturants like Berco's, Cafe Coffee Day, Dominos, Keventers, Handi, Pind Baluchi, Food...

Read more

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Raspberry Pi Course Events - Ghaziabad

Raspberry Pi Course Outlines in Ghaziabad

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Python is a high-level programming language recommended for IoT due to its clear syntax and large community support.

In this instructor-led, live training, participants will learn how to program IoT solutions with Python.

By the end of this training, participants will be able to:

- Understand the fundamentals of IoT architecture
- Learn the basics of using Raspberry Pi
- Install and configure Python on Raspberry Pi
- Learn the benefits of using Python in programming IoT systems
- Build, test, deploy, and troubleshoot an IoT system using Python and Raspberry Pi

Audience

- Developers
- Engineers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.
14 hours
Overview
Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture.

In this instructor-led, live training, participants will learn the fundamentals of IoT as they step through the creation of an IoT sensor system using the Raspberry Pi.

By the end of this training, participants will be able to:

- Understand the principles of IoT, including IoT components and communication techniques
- Learn how to set up the Raspberry Pi specifically for IoT applications
- Build and deploy their own IoT Sensor System

Audience

- Hobbyists
- Hardware/software engineers and technicians
- Technical persons in all industries
- Beginner developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- Raspberry Pi supports various operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
- Participants are responsible for purchasing the Raspberry Pi hardware and components.
14 hours
Overview
Raspberry Pi is a very small, single-board computer.

In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to serve as an interactive and powerful embedded system.

By the end of this training, participants will be able to:

- Set up an IDE (integrated development environment) for maximum development productivity
- Program Raspberry Pi to control devices such as motion sensor, alarms, web servers and printers.
- Understand Raspberry Pi's architecture, including inputs and connectors for add-on devices.
- Understand the various options in programming languages and operating systems
- Test, debug, and deploy the Raspberry Pi to solve real world problems

Audience

- Developers
- Hardware/software technicians
- Technical persons in all industries
- Hobbyists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- Raspberry Pi supports various operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
- Participants are responsible for purchasing the Raspberry Pi hardware and components.
21 hours
Overview
This instructor-led, live training introduces the software, hardware, and step-by-step process needed to build a facial recognition system from scratch. Facial Recognition is also known as Face Recognition.

The hardware used in this lab includes Rasberry Pi, a camera module, servos (optional), etc. Participants are responsible for purchasing these components themselves. The software used includes OpenCV, Linux, Python, etc.

By the end of this training, participants will be able to:

- Install Linux, OpenCV and other software utilities and libraries on a Rasberry Pi.
- Configure OpenCV to capture and detect facial images.
- Understand the various options for packaging a Rasberry Pi system for use in real-world environments.
- Adapt the system for a variety of use cases, including surveillance, identity verification, etc.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- Other hardware and software options include: Arduino, OpenFace, Windows, etc. If you wish to use any of these, please contact us to arrange.
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