Course code: NP1909
This course empowers learners to build and deploy generative AI solutions using Azure Databricks. It covers LLM integration, prompt engineering, data preparation, and model deployment. Learners gain hands-on experience with MLflow, Delta Lake, and Azure Machine Learning, mastering the full AI lifecycle in a collaborative, scalable environment.Professional
and certified lecturers
Internationally
recognized certifications
Wide range of technical
and soft skills courses
Great customer
service
Making courses
exactly to measure your needs
Starting date: Upon request
Guaranteed
Type: Self-paced
Course duration: 8 hours
Language: en
Price without VAT: 285 EUR
Starting date: Upon request
Guaranteed
Type: Self-paced
Course duration: 8 hours
Language: en
Price without VAT: 75 EUR
| Starting date |
Place |
Type | Course duration |
Language | Price without VAT | ||
|---|---|---|---|---|---|---|---|
| G | Upon request | Self-paced | 8 hours | en | 285 EUR | Register | |
| G | Upon request | Self-paced | 8 hours | en | 75 EUR | Register | |
| G | Guaranteed course | ||||||
Use Databricks to create and operationalize large language models.
Improve responses using Retrieval Augmented Generation techniques.
Design AI workflows with layered decision-making logic.
Track, evaluate, and fine-tune models effectively.
Module 1: Get Started with Language Models in Azure Databricks
Module 2: Implement Retrieval Augmented Generation (RAG) with Azure Databricks
Module 3: Implement Multi-Stage Reasoning in Azure Databricks
Module 4: Fine-Tune Language Models with Azure Databricks
Module 5: Evaluate Language Models with Azure Databricks
Module 6: Review Responsible AI Principles for Language Models in Azure Databricks
Module 7: Implement LLMOps in Azure Databricks
