DP-3028: Implement Generative AI engineering with Azure Databricks Training

DP-3028 is about building generative AI solutions on Azure Databricks. You'll fine tune models, implement RAG workflows, optimize LLMs, and work with MLflow, Unity Catalog, and open source libraries. The course also covers responsible AI practices, because shipping a model that works isn't the same as shipping one you can trust. It's aimed at data scientists and AI engineers who learn better by building than by reading.

📘 Azure 👥 284 Enrolled ⏱️ 1 Day 💼 Intermediate Level ⭐ 5 | 103 Reviews

Why Microtek Learning?

500+

Courses

10+ Years

Experience

95K+

Global Learners

Virtual Instructor-Led Training

$599

Course Overview

DP-3028: Implement Generative AI engineering with Azure Databricks training trains you to build, fine tune, and deploy LLM applications on Azure Databricks. You'll work through Retrieval Augmented Generation (RAG), multi stage reasoning, and model evaluation using MLflow and Unity Catalog. There's also hands on work with LangChain and DSPy for integrating language models into real workflows. The course covers LLMOps, so you'll know how to manage models in production, not just get them running once. Responsible AI is woven throughout rather than treated as an afterthought.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

Upcoming Schedules

Start Date	Time	Duration	Mode	Price
Apr 06, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
Apr 20, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
May 04, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
May 18, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
Jun 01, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
Jun 15, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR
Jun 29, 2026	9:00 am - 5:00 pm	1 Day	online	$599	GTR

+ View more schedules

What you will learn

Describe the fundamentals of Generative AI and Large Language Models (LLMs).
Implement Retrieval Augmented Generation (RAG) workflows using Azure Databricks.
Build and deploy multi-stage reasoning systems with popular open-source libraries.
Fine-tune Azure OpenAI models using customized datasets.
Evaluate LLMs using key metrics and LLM-as-a-judge frameworks.
Apply responsible AI principles and implement LLMOps with MLflow and Unity Catalog.

Who Should Attend This Course?

Data Scientist

📞 Talk to a Learning Advisor

📘 DP-3028: Implement Generative AI engineering with Azure Databricks Outline

Describe Generative AI.
Describe Large Language Models (LLMs).
Identify key components of LLM applications.
Use LLMs for Natural Language Processing (NLP) tasks.
Lab: Explore language models

Set up a RAG workflow.
Prepare your data for RAG.
Retrieve relevant documents with vector search.
Improve model accuracy by reranking your search results.
Lab: Set up RAG

Identify the need for multi-stage reasoning systems.
Describe a multi-stage reasoning workflow.
Implement multi-stage reasoning with libraries like LangChain, LlamaIndex, Haystack, and the DSPy framework.
Lab: Implement multi-stage reasoning with LangChain

Understand when to use fine-tuning.
Prepare your data for fine-tuning.
Fine-tune an Azure OpenAI model.
Lab: Fine-tune an Azure OpenAI model

Compare LLM and traditional ML evaluations.
Describe the relationship between LLM evaluation and evaluation of entire AI systems.
Describe generic LLM evaluation metrics like accuracy, perplexity, and toxicity.
Describe LLM-as-a-judge for evaluation.
Lab: Evaluate an Azure OpenAI model

Describe the responsible AI principles for implementation of language models.
Identify the ethical considerations for language models.
Mitigate the risks associated with language models.
Implement key security tooling for language models.
Lab: Implement responsible AI

Describe the LLM lifecycle overview.
Identify the model deployment option that best fits your needs.
Use MLflow and Unity Catalog to implement LLMops.
Lab: Implement LLMOps

Still have questions?

Reach out to our learning advisors for personalized guidance on choosing the right course, group training, or enterprise packages.

📞 Talk to an Advisor

What You Get with Microtek Learning

Instructor-Led Excellence

✓ Certified Instructor-led Training
✓ Top Industry Trainers
✓ Official Student Handbooks

Measurable Learning Outcomes

✓ Pre- & Post-Training Assessments
✓ Practice Tests
✓ Exam-Oriented Curriculum

Real-World Skill Building

✓ Hands-on Activities & Scenarios
✓ Interactive Online Courses
✓ Peer Collaboration (Not in self-paced)

Full Support & Perks

✓ Exam Scheduling Support ^*
✓ Learn & Earn Program ^*
✓ Support from Certified Experts
✓ Gov. & Private Pricing ^*

Our Clients

For over 10 years, Microtek Learning has helped organizations, leaders, students and professionals to reach their maximum potential. We have led the path by addressing their challenges and advancing their performances.