Whether delivered online or onsite, our instructor-led live Visual Studio Code training courses provide interactive, hands-on practice. This approach enables you to effectively configure and utilize Visual Studio Code for the efficient development, debugging, and construction of sample web applications.
We offer Visual Studio Code training in both "online live" and "onsite live" formats. Online live training, also referred to as "remote live training," is conducted through an interactive, remote desktop environment. Onsite live training can be hosted locally at customer premises in Bangkok or within NobleProg corporate training centers located in Bangkok.
NobleProg -- Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
This instructor-led, live training in Bangkok (offered online or onsite) targets beginner to intermediate-level developers seeking to improve their code editing skills with VS Code.
By the end of this program, participants will be able to:
Develop familiarity with the VS Code interface.
Utilize workspaces within VS Code effectively.
Manage VS Code keyboard shortcuts and settings with ease.
Work with various programming languages in the VS Code environment.
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Testimonials (1)
I liked how Gunnar wrote pretty much all of the code on the fly as we were going through, but that there was plenty of pre-prepared material on the google drive that I can refer to after the training.
The code Gunnar wrote based on the sample data I provided beforehand was also extremely useful and also made the training relevant to our own datasets.
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