Online or onsite, instructor-led live Vector Database training courses demonstrate through interactive hands-on practice the fundamentals and advanced topics of Vector Database.
Vector Database 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. Berlin onsite live Vector Database trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
This instructor-led, live training in Berlin (online or onsite) is aimed at beginner-level to intermediate-level data scientists and software developers who wish to learn about Milvus and its practical applications in various AI scenarios.
By the end of this training, participants will be able to:
Understand the architecture and features of Milvus.
Implement vector databases in different AI applications.
Perform similarity searches with high accuracy and speed.
This instructor-led, live training in Berlin (online or onsite) is aimed at beginner-level to intermediate-level data scientists and software developers who wish to learn how to apply Pinecone to various AI scenarios, from semantic search to personalization.
By the end of this training, participants will be able to:
Understand the architecture and features of Pinecone.
Implement vector databases in different AI applications.
Perform similarity searches with high accuracy and speed.
This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level to advanced-level data scientists and machine learning engineers who wish to master the use of vector databases for scalable, high-performance AI applications.
By the end of this training, participants will be able to:
Understand the principles of vector databases.
Learn techniques for creating and managing vector embeddings.
Explore indexing strategies for high-dimensional data.
Develop skills for performing efficient similarity searches.
Apply vector database knowledge to machine learning projects.
This instructor-led, live training in Berlin (online or onsite) is aimed at beginner-level software developers and database administrators who wish to learn the basics of vector databases, including their structure, operation, and use cases.
By the end of this training, participants will be able to:
Understand the concept and purpose of vector databases.
Recognize the differences between vector and traditional databases.
Learn basic techniques for creating and managing vector data.
Perform simple similarity searches.
Appreciate the role of vector databases in AI applications.
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