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DP-3028: Implement Generative AI Engineering with Azure Databricks

DP-3028: Implement Generative AI Engineering with Azure Databricks equips data scientists and machine learning engineers with practical skills to build, fine-tune, and deploy advanced language models using Azure Databricks. This course solves the critical challenge of integrating generative AI into enterprise workflows by teaching retrieval-augmented generation (RAG), multi-stage reasoning, and LLMOps—skills in high demand as 70% of enterprises now prioritize AI-driven automation. Learners gain hands-on experience evaluating models and applying responsible AI principles within scalable Spark environments.

This training prepares candidates for the Microsoft Certified: Azure AI Engineer Associate credential, enhancing career pathways in AI solution architecture. Koenig Solutions reinforces learning with 30-day lab access and Guaranteed-to-Run schedules, ensuring flexible, practical mastery. Graduates emerge ready to lead production-grade generative AI implementations, driving innovation and measurable business outcomes on the Azure platform.

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Course Overview

The Microsoft course DP-3028: Implement Generative AI Engineering with Azure Databricks is designed for data scientists, machine learning engineers, and AI practitioners aiming to build advanced generative AI applications using Azure Databricks. While no certification exam is required, this course aligns directly with the Microsoft DP-3028 Applied Skills credential, validating hands-on expertise in enterprise-scale generative AI development. With 82% of Fortune 500 companies now investing in generative AI solutions, professionals skilled in Azure Databricks are in high demand to drive innovation across industries such as healthcare, finance, and technology.

Students in this course gain hands-on experience with key Microsoft technologies including Azure Databricks, Azure OpenAI, MLflow, Unity Catalog, and AI Search. Through guided labs in the Azure Portal and Databricks Workspace, learners build and deploy real-world generative AI solutions, including implementing retrieval-augmented generation (RAG) pipelines with vector search, fine-tuning large language models, and applying multi-stage reasoning using frameworks like LangChain and LlamaIndex. A core project involves creating a production-ready RAG application that integrates domain-specific knowledge to improve model accuracy and response relevance.

Completing DP-3028 prepares professionals for roles such as AI Engineer and Data Scientist, supporting long-term career growth in the fast-evolving AI landscape. The Microsoft Applied Skills credential earned demonstrates proven ability in LLMOps and responsible AI practices, increasingly valued in enterprise environments. With AI engineers commanding median total compensation of $277,000 in 2025, mastery of Azure Databricks provides a significant career advantage. Koenig Solutions supports this journey with official Microsoft courseware and Guaranteed-to-Run scheduling, ensuring learners can advance their skills on demand. This training ultimately positions graduates to lead generative AI initiatives that transform data into intelligent, scalable business solutions.

What You'll Learn

Implement Retrieval Augmented Generation (RAG) with Microsoft’s DP-3028: Implement Generative AI Engineering with Azure Databricks, enabling you to build advanced AI solutions that improve data retrieval and generation accuracy.
Fine-tune language models using Azure Databricks to customize AI outputs, ensuring they meet your specific business needs and enhance user experience.
Evaluate language models within Azure Databricks to measure performance, accuracy, and reliability, helping you select the best models for your AI applications.
Implement multi-stage reasoning processes in Azure Databricks to develop complex AI workflows that solve intricate problems efficiently.
Review responsible AI principles aligned with Microsoft’s DP-3028 course, ensuring your generative AI solutions adhere to ethical standards and best practices.
Implement LLMOps in Azure Databricks to streamline deployment, monitoring, and management of large language models, boosting operational efficiency and model reliability.

Skills You'll Gain

Azure Databricks Large Language Models Retrieval Augmented Generation Azure RAG Implementation Fine-tune Language Models Multi-Stage Reasoning Azure LLMOps Model Evaluation Responsible AI Spark on Azure Vector Search LangChain Integration LlamaIndex DSPy Framework MLflow Unity Catalog Generative AI Engineering

Prerequisites

Recommended knowledge before taking this course
  • Familiarity with core AI concepts such as machine learning and deep learning principles, essential for mastering Microsoft’s DP-3028: Implement Generative AI Engineering with Azure Databricks course
  • Experience with Azure Databricks core components and workspace operations, which are foundational for implementing generative AI solutions using Microsoft Azure
  • Understanding of large language model (LLM) architecture and lifecycle management, crucial for deploying advanced AI models with Azure Databricks
  • Hands-on experience using Apache Spark for data processing in Databricks, enabling efficient handling of big data for generative AI projects
  • Knowledge of retrieval-augmented generation (RAG) and multi-stage reasoning patterns, vital for building sophisticated AI systems on Microsoft Azure
  • Experience using MLflow and Unity Catalog for model tracking and governance, ensuring compliance and reproducibility in AI deployments
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Certification Exam

Everything you need to know about the DP-3028 certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates must wait 24 hours before retaking the exam; up to five attempts allowed per year
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DP-3028: Implement Generative AI Engineering with Azure Databricks

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Generative AI with 3028: Implement Generative AI Engineering with Azure Databricks
Grasp Generative AI fundamentals Identify Large Language Models Apply LLMs for NLP Explore enterprise LLM use-cases Navigate Azure Databricks interfaces Utilize Databricks Model Serving endpoints Implement Delta Lake for RAG data ingestion Prepare scalable workspace environments
2
Day 2– Implementing RAG via 3028 Standards
Master RAG architecture workflows Curate data using Unity Catalog Execute high-speed Databricks Vector Search Rerank critical search results Integrate external knowledge bases Enhance model contextual awareness Optimize retrieval precision metrics Validate RAG system performance
3
Day 3– Advanced Multi-Stage Reasoning Techniques
Define multi-stage reasoning logic Leverage LangChain framework capabilities Utilize LlamaIndex for retrieval Deploy Haystack pipeline architectures Apply DSPy reasoning models Chain complex reasoning sequences Aggregate intermediate output data Boost model reasoning accuracy
4
Day 4– Fine-Tuning Models with Mosaic AI
Understand fine-tuning methodology Prepare high-quality training datasets Fine-tune open-source models like Llama 3 or Mistral using Mosaic AI Training Optimize critical model parameters Validate task-specific model performance Mitigate model overfitting risks Leverage advanced pre-trained models Improve domain-specific model relevance
5
Day 5– Evaluating AI and Responsible Engineering
Evaluate LLMs using metrics Apply LLM-as-a-judge frameworks Assess total AI system quality Identify Responsible AI risks Mitigate complex ethical issues Implement robust security tooling Ensure industry compliance standards Monitor production model behavior

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

82%

of DP-3028 certified professionals report career advancement within 6 months

Salary Impact

+29%

Average salary increase reported after obtaining the DP-3028 certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Generative AI Engineer
  • Machine Learning Engineer
  • Azure Databricks AI Specialist
  • AI Solutions Architect
  • Data Scientist - Generative AI
  • Cloud AI Engineer

Companies Hiring

5,000+
Microsoft Databricks Accenture Deloitte Capgemini TCS JPMorgan Chase Goldman Sachs Infosys Wipro

and 5,000+ organizations worldwide seeking DP-3028 certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

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    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

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  • ★★★★★

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    Cloud Solutions Architect

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    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

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    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the DP-3028 training course

Is the DP-3028: Implement Generative AI Engineering with Azure Databricks certification exam included, and what is the fee?
The DP-3028: Implement Generative AI Engineering with Azure Databricks course does not include a certification exam. Microsoft does not assign an exam code or fee for this training. It is a specialized skills-based course designed to upskill engineers in generative AI on Azure Databricks without a formal assessment requirement.
What training formats does Koenig offer for DP-3028, and is Guaranteed-to-Run scheduling available?
Koenig delivers DP-3028: Implement Generative AI Engineering with Azure Databricks via live online, classroom, and 1-on-1 formats. Our Guaranteed-to-Run scheduling ensures your training proceeds regardless of enrollment numbers. Flexi options provide video access, while certified trainers ensure a high-quality, consistent learning experience for every student in the cohort.
How long is lab access provided for DP-3028, and what environment is used?
Learners receive 6 months of lab access for DP-3028: Implement Generative AI Engineering with Azure Databricks via our cloud-based LET Platform. This environment provides sandboxed access to Spark clusters, MLflow, and Unity Catalog. You will practice RAG implementation, fine-tuning, and LLMOps within a secure, real-world Azure environment to build job-ready expertise.
What is Koenig's rescheduling and cancellation policy for DP-3028 training?
Koenig allows free rescheduling for DP-3028: Implement Generative AI Engineering with Azure Databricks if requested 10 days before the start date. Cancellations or changes within 10 days incur a 50% fee. To maintain learning momentum, the same course registration cannot be rescheduled more than once, ensuring a firm commitment to your professional development.
What is the exam format, number of questions, and passing score for DP-3028?
There is no exam for DP-3028: Implement Generative AI Engineering with Azure Databricks. This course is non-certification-bearing and focuses entirely on practical skill development through expert instruction and labs. No MCQs, performance-based tasks, or passing scores apply, as Microsoft does not administer a formal assessment for this specific technical training program.
How long is the DP-3028 certification valid, and what is the renewal process and cost?
DP-3028: Implement Generative AI Engineering with Azure Databricks does not lead to a Microsoft certification; therefore, it has no validity period or renewal requirement. It is a targeted training course for skill enhancement. While you receive a certificate of completion, there is no expiration, renewal process, or associated maintenance cost for this program.
What post-training support does Koenig provide after completing DP-3028?
After finishing DP-3028: Implement Generative AI Engineering with Azure Databricks, Koenig provides 6 months of lab access and recordings of live sessions. You gain continued access to the LET Platform for review and can book optional 1-on-1 mentorship sessions. Course materials remain available to you for ongoing reference and long-term skill reinforcement.
What are the prerequisites or prior experience needed for DP-3028?
Learners should possess intermediate knowledge of Azure Databricks, Apache Spark, and fundamental AI concepts before starting DP-3028: Implement Generative AI Engineering with Azure Databricks. Proficiency in Python and data science workflows is recommended. Microsoft suggests completing the 'Get started with artificial intelligence' learning path and 'Explore Azure Databricks' module as essential foundational preparation.
What career impact or salary increase can DP-3028 training provide?
DP-3028: Implement Generative AI Engineering with Azure Databricks builds skills in a high-demand field where AI engineers earn $120,000–$180,000 annually. Professionals mastering Azure Databricks and LLMOps often secure 20–30% salary premiums. This course prepares you for critical roles in organizations requiring expertise in responsible AI, RAG implementation, and scalable generative AI engineering workflows.
How does Koenig's DP-3028 training compare to self-study options?
Koenig’s DP-3028: Implement Generative AI Engineering with Azure Databricks training offers structured, expert-led learning that far exceeds self-study. With 6 months of lab access, Guaranteed-to-Run scheduling, and post-class support, you gain mastery over complex topics like LLMOps and fine-tuning. Unlike self-study, our program provides the guided practice and real-time feedback essential for professional success.
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