Course Overview of DP-3028:

This course equips AI and data professionals with the skills to design, build, deploy, and operationalize Generative AI systems. You will explore the end-to-end LLM lifecycle from data processing and prompt engineering to model tuning, evaluation, compliance, and production deployment.

The DP-3028 Applied Skills course equips learners with the knowledge and hands-on experience required to build, deploy, fine-tune, and evaluate language model–powered applications using Azure Databricks, Azure OpenAI, and modern LLMOps practices.

Throughout the course, students gain a deep understanding of generative AI, LLMs, Retrieval Augmented Generation (RAG), multi-stage reasoning, fine-tuning workflows, LLM evaluation, and Responsible AI principles – all through immersive labs and real-world scenario

After completing DP-3028 course, participants will be able to:

  • Understand the fundamentals of Generative AI and Large Language Models (LLMs).
  • Build LLM-based applications for NLP tasks using Azure Databricks.
  • Implement RAG pipelines with vector search and reranking techniques.
  • Apply frameworks such as LangChain, LlamaIndex, Haystack, and DSPy for multi-stage reasoning.
  • Prepare datasets and fine-tune Azure OpenAI models efficiently.
  • Evaluate LLMs using quantitative metrics, LLM-as-a-judge, and enterprise evaluation tools.

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Key Features of DP-3028:

  • Comprehensive Coverage

    Covers the full life cycle of LLM development—data preparation, RAG, fine-tuning, evaluation, and deployment with LLMOps—using Azure Databricks.

  • Hands-on Practical Exercises

    Each module includes immersive labs such as:

    • Exploring language models
    • Implementing RAG
    • Multi-stage reasoning with LangChain
    • Fine-tuning Azure OpenAI models
    • LLM evaluation
    • Responsible AI implementation

  • Focus on Role-Based Learning

    Designed for AI Engineers, Data Engineers, Machine Learning Engineers, and Solution Architects working with enterprise-scale LLM solutions.

  • Career Advancement

    Builds the applied skills needed for advanced AI certifications and prepares learners for roles involving GenAI system development, AI solution design, and LLMOps.

Who should Attend DP-3028?

  • Data Scientists
  • Machine Learning Engineers
  • AI/ML Developers
  • Data Engineers
  • Technical Architects
  • Anyone building LLM or RAG-based AI solutions using Azure Databricks

Prerequisites of DP-3028:

  • Basic understanding of machine learning and NLP concepts
  • Familiarity with Python programming
  • Experience using Azure services
  • Exposure to Apache Spark (recommended, not mandatory)

    • Why choose CloudThat as your training partner for DP-3028?

    • Expert Instructors: Certified experts with deep real-world experience in Azure Databricks, Machine Learning, and GenAI.
    • Comprehensive Course Content: Up-to-date curriculum aligned with Microsoft Applied Skills standards.
    • Hands-on Labs: Practical learning with real datasets, enterprise scenarios, and guided labs.
    • Flexible Training Options: Both online and classroom options designed for working professionals.
    • Proven Track Record: Successfully trained thousands of professionals for Azure and Databricks certifications.

    Course Outline of DP-3028: Download Course Outline

    Understand Generative AI

    Understand Large Language Models (LLMs)

    Identify components of LLM applications

    Use LLMs for NLP tasks

    Lab – Explore Language Models

    Concepts of a RAG workflow

    Prepare data for RAG

    Retrieve relevant information using vector search

    Rerank retrieved results

    Lab – Set up RAG

    Introduction to multi-stage reasoning

    Work with LangChain

    Work with LlamaIndex

    Work with Haystack

    Work with DSPy

    Lab – Implement multi-stage reasoning with LangChain

    What fine-tuning is

    Prepare data for fine-tuning

    Fine-tune Azure OpenAI models

    Lab – Fine-tune an Azure OpenAI model

    Understand evaluation approaches

    Evaluate LLMs and AI systems

    Use standard evaluation metrics

    Apply LLM-as-a-judge techniques

    Lab – Evaluate an Azure OpenAI model

    Understand responsible AI principles

    Identify risks in LLM-based systems

    Mitigate issues and vulnerabilities

    Use security and governance tooling

    Lab – Implement responsible AI

    Move from MLOps to LLMOps

    Understand model deployment strategies

    Use MLflow deployment features

    Use Unity Catalog for governance and model management

    Lab – Implement LLMOps

    Certification Details of DP-3028:

    • Completing this course helps earn the Microsoft DP-3028 Applied Skills credential
    • Validates enterprise-level Generative AI development abilities
    • Skills gained apply to other Microsoft AI certifications

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    Course ID: 26666

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    FAQs of DP-3028:

    A practical course focused on implementing Generative AI systems using Azure Databricks and Azure OpenAI.

    AI developers, ML engineers, data scientists, architects, and technical professionals working on enterprise AI systems.

    Basic knowledge of Azure Data Services is recommended.

    Yes, each module includes hands-on labs and real-world exercises.

    Yes, it aligns directly to the Microsoft DP-3028 Applied Skills credential.

    Enquire Now