Generative AI Engineering for Azure Data Engineers Training

Duration30 Days
Mode of TrainingOnline
LevelAdvanced

Generative AI for Azure Data Engineers

This course is designed to help you understand how Generative AI applications are built and managed using Azure Databricks. Starting with the basics of Generative AI, LLMs, Foundation Models, tokens, embeddings, transformers, and prompt engineering, you will gradually move into hands-on concepts such as RAG, multi-stage reasoning, fine-tuning, LLM evaluation, Responsible AI, and LLMOps. You will also learn how Azure Databricks works with services such as Azure OpenAI and Microsoft Foundry, and how technologies and frameworks such as LangChain, LlamaIndex, Haystack, and DSPy can be used to build advanced GenAI solutions. By the end of the course, you will have a practical understanding of the end-to-end GenAI engineering lifecycle from working with LLMs and enterprise data to building, evaluating, securing, governing, and managing GenAI applications in Azure Databricks.

Key Topics Students Will Learn

Generative AI Foundations, Azure & Azure Databricks, Generative AI on Azure Databricks , RAG with Azure Databricks, Multi-Stage Reasoning, Fine-Tuning LLMs, LLM Evaluation, Responsible AI & Governance, LLMOps.

How This Course Will Benefit Your Career

This course helps you move beyond simply using GenAI tools and understand how to engineer and manage enterprise-grade GenAI solutions.

Career benefits:

Build practical GenAI skills

Learn the key technologies used to build LLM-powered applications, including RAG , embeddings, prompt engineering, reasoning workflows, fine-tuning and evaluation.

Strengthen Azure + Databricks expertise

Develop skills across the Microsoft Azure and Databricks ecosystem, which is particularly valuable for organizations already using Azure for their data and AI platforms.

Learn enterprise GenAI architecture

Understand how GenAI solutions can be secured, governed, evaluated, deployed and managed rather than building only simple prototypes.

Prepare for GenAI engineering roles

The course provides relevant knowledge for roles such as:

  • Generative AI Engineer
  • AI Engineer
  • Azure AI Engineer
  • Databricks AI/ML Engineer
  • Data & AI Engineer
  • Machine Learning Engineer
  • GenAI Solution Architect
  • AI/ML Solution Architect

Develop end-to-end thinking

Students learn the complete journey from LLM → RAG → reasoning → fine-tuning → evaluation → Responsible AI → deployment → LLMOps.

Prerequisites

Basics of Python, SQL. Students do not need prior expertise in Generative AI or LLMs. The course starts with GenAI and Azure Cloud foundations before moving into advanced topics.

Why Choose Visualpath

Visualpath offers Generative AI for Azure Data Engineers Online & Corporate Training globally, helping professionals integrate AI into modern data engineering workflows. Learn Azure AI, Generative AI, LLMs, prompt engineering, data pipelines, Azure services, and AI-powered analytics. Join our Free Demos and explore New Batches designed for practical, industry-focused learning.

FAQs

  • What is Generative AI Engineering for Azure Data Engineers?

    ➖ It teaches Azure Data Engineers how to use generative AI with data, cloud services, and AI applications.
  • How can Azure Data Engineers use Generative AI?

    ➖ They can use it for data analysis, SQL support, automation, data search, and building AI-powered solutions.
  • Which Azure tools are used for Generative AI?

    ➖ Azure OpenAI, Azure AI Foundry, Azure AI Search, and other Azure data services can be used.
  • Is Generative AI useful for Azure Data Engineers?

    ➖ Yes. It can help Azure Data Engineers build smarter data solutions and improve their productivity.
  • Who should learn Generative AI Engineering?

    ➖ Azure Data Engineers, cloud professionals, developers, and data professionals can learn these skills.