Online or onsite, instructor-led live Prompt Engineering training courses demonstrate through interactive hands-on practice how to use cutting-edge tools and techniques in prompt engineering to generate impressive and realistic text and images.
Prompt Engineering training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Prompt Engineering training can be carried out locally on customer premises in Munich or in NobleProg corporate training centers in Munich.
NobleProg -- Your Local Training Provider
Munich
NobleProg München , Landshuter Allee 8-10, München, germany, 80637
Overview
Our training facilities are located at Landshuter Allee 8-10 in Munich. Thanks t...
Overview
Our training facilities are located at Landshuter Allee 8-10 in Munich. Thanks to good transport connections, our spacious training rooms are easy to reach and offer optimal training conditions.
Directions
The NobleProg training facilities are conveniently located not far from the A95 and A96 motorways. The underground station Rotkreuzplatz and the S-Bahn station Donnersbergerbrücke are within walking distance.
Parking spaces
There are numerous free parking spaces around our training rooms.
Local infrastructure
Not far from Landshuter Allee you will find various restaurants and in the nearby Arnulfstrasse there are several hotels.
This instructor-led, live training in Munich (online or onsite) is aimed at AI practitioners and enthusiasts who wish to harness the power of prompts to generate impressive and realistic text and images.
By the end of this training, participants will be able to:
Have a solid understanding of prompt engineering concepts.
Write accurate and effective prompts for ChatGPT, Stable Diffusion, DALL-E 2, Leonardo AI, and MidJourney.
Generate hyper-realistic text and images using the latest tools and techniques in prompt engineering.
Use AI-powered prompt engineering tools to automate prompt generation.
Apply prompt engineering to various use cases.
Incorporate prompt engineering into their own projects and workflows.
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