Skip navigation
Inloggen
Kennisbank
Trainingscentra
Winkelwagen
(0)
U heeft geen artikelen in uw winkelwagen
Zoek
Cloud & Infra
Netwerk & Connectivity
Data, AI & Innovatie
Methodiek & Procesmanagement
Beveiliging
Nieuwe trainingen
Locaties trainingscentra
terug
OC-ICT / Train IT Now
OC-ICT / Train IT Now
Aristo
Cadix
Aristo
Groningen – Fletcher Familiehotel Paterswolde
Global Knowledge
BCN
Regus
Menu
Cloud & Infra
Netwerk & Connectivity
Systemen & Containers
Virtualization
Data, AI & Innovatie
Methodiek & Procesmanagement
ITIL & Service Management
Agile & Scrum
Projectmanagement
Beveiliging
Vaardigheden
Software Engineering
Mens, Business & Leiderschap
Business Analysis
Soft Skills
Leiderschap, Management
eLearning
Nieuwe trainingen
Locaties trainingscentra
terug
OC-ICT / Train IT Now
OC-ICT / Train IT Now
Aristo
Cadix
Aristo
Groningen – Fletcher Familiehotel Paterswolde
Global Knowledge
BCN
Regus
Startpagina
/
Data, AI & Innovatie
/
Implement Generative AI engineering with Azure Databricks (D (M-DP3028)
Implement Generative AI engineering with Azure Databricks (D (M-DP3028)
This course covers generative AI engineering on Azure Databricks, using Spark to explore, fine-tune, evaluate, and integrate advanced language models.It teaches how to implement techniques like..
€750,00 excl. BTW
Beschrijving
Product specificaties
Agenda
This course covers generative AI engineering on Azure Databricks, using Spark to explore, fine-tune, evaluate, and integrate advanced language models.It teaches how to implement techniques like retrieval-augmented generation (RAG) and multi-stage reasoning, as well as how to fine-tune large language models for specific tasks and evaluate their performance. Students will also learn about responsible AI practices for deploying AI solutions and how to manage models in production using LLMOps (Large Language Model Operations) on Azure Databricks.
Attribuut naam
Attribuut waarde
Lesmethode
Klassikaal (virtueel), Klassikaal (fysiek)
Artikelnummer voorraad referentie:
NLM-DP3028
Lesmethode
*
Klassikaal (fysiek)
Klassikaal (virtueel)
Datums (fysiek)
*
Datum en locatie
Aantal deelnemers
29 - 29 mei, 2026 - NIEUWEGEIN
Inschrijven
21 - 21 september, 2026 - EINDHOVEN
Inschrijven
Datums (virtueel)
*
Datum en locatie
Aantal deelnemers
29 - 29 mei, 2026 - VIRTUAL CLASSROOM
Inschrijven
21 - 21 september, 2026 - VIRTUAL CLASSROOM
Inschrijven