DP-3028: Implement Generative AI Engineering with Azure Databricks Course Overview
Duration: 1 Day
Course Retirement Notice: Microsoft will retire DP-3028: Implement Generative AI Engineering with Azure Databricks on September 30, 2026. Microsoft currently lists no replacement course for DP-3028.
DP-3028: Implement Generative AI Engineering with Azure Databricks introduces participants to developing generative AI solutions using Azure Databricks. The course covers large language models (LLMs), retrieval-augmented generation (RAG), multi-stage reasoning, model fine-tuning and evaluation, responsible AI, and LLMOps for managing generative AI solutions.
Course Objectives
This course is designed to develop practical knowledge of generative AI engineering using Azure Databricks.
By the end of this course, participants should have a better understanding of how to:
- Work with large language models in Azure Databricks
- Implement retrieval-augmented generation (RAG)
- Develop multi-stage reasoning solutions
- Fine-tune and evaluate language models
- Apply responsible AI and LLMOps practices
Who Should Attend?
- AI Engineers
- Data Scientists
- Machine Learning Engineers
- AI practitioners working with Azure Databricks
Course Prerequisites
Familiarity with fundamental AI concepts and Azure Databricks is recommended. Participants should have a foundational understanding of generative AI and data or machine learning concepts.
What’s included?
- Authorized Courseware
- Intensive Hands on Skills Development with an Experienced Subject Matter Expert
- Hands-on practice on real Servers and extended lab support 1.800.482.3172
- Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
- Academy Code of Honor: Test Pass Guarantee
- Optional: Package for Hotel Accommodations, Lunch and Transportation
With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.
Methods
- Instructor-Led (the best training format we offer)
- Live Online Classroom – Online Instructor-Led
- Self-Paced Video
Speak to an Admissions Representative for complete details
| Start | Finish | Public Price | Public Enroll | Private Price | Private Enroll |
|---|---|---|---|---|---|
| 12/8/2025 | 12/8/2025 | ||||
| 12/29/2025 | 12/29/2025 | ||||
| 1/19/2026 | 1/19/2026 | ||||
| 2/9/2026 | 2/9/2026 | ||||
| 3/2/2026 | 3/2/2026 | ||||
| 3/23/2026 | 3/23/2026 | ||||
| 4/13/2026 | 4/13/2026 | ||||
| 5/4/2026 | 5/4/2026 | ||||
| 5/25/2026 | 5/25/2026 | ||||
| 6/15/2026 | 6/15/2026 | ||||
| 7/6/2026 | 7/6/2026 | ||||
| 7/27/2026 | 7/27/2026 | ||||
| 8/17/2026 | 8/17/2026 | ||||
| 9/7/2026 | 9/7/2026 | ||||
| 9/28/2026 | 9/28/2026 | ||||
| 10/19/2026 | 10/19/2026 | ||||
| 11/9/2026 | 11/9/2026 | ||||
| 11/30/2026 | 11/30/2026 | ||||
| 12/21/2026 | 12/21/2026 | ||||
| 1/11/2027 | 1/11/2027 |
Course Curriculum
1 – Generative AI and Language Models
- Generative AI and large language model concepts
- Working with language models in Azure Databricks
- Common LLM applications and use cases
2 – RAG and Advanced AI Applications
- Retrieval-augmented generation (RAG)
- Vector search and external data
- Multi-stage reasoning and AI frameworks
3 – Model Fine-Tuning and Evaluation
- Fine-tuning language models for specific tasks
- Evaluating model and AI system performance
- Model quality and evaluation approaches
4 – Responsible AI and LLMOps
- Responsible AI principles and risk mitigation
- Deploying and managing language models
- MLflow, Unity Catalog, and LLM lifecycle management
