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Microsoft Course: Implement Generative AI engineering with Azure Databricks

Engineer Intelligence: Build Smarter, Scale Faster, Innovate Responsibly.
  • Build and optimize LLM-driven applications using Azure Databricks
  • Implement RAG to enhance generative models with external data sources
  • Solve complex problems using multi-stage reasoning pipelines
  • Fine-tune models for domain-specific tasks efficiently
  • Evaluate LLM performance
  • Streamline deployment and management with LLMOps workflows
  • Build a base for specialized roles in AI development or cloud engineering
  • Prepare for more advanced Microsoft certifications in AI

What you will learn

This learning path, Implement Generative AI Engineering with Azure Databricks, equips you with advanced skills to design, fine-tune, and deploy generative AI systems using Azure Databricks. Over seven modules and nearly seven hours, you'll explore Large Language Models (LLMs), implement Retrieval Augmented Generation (RAG), apply multi-stage reasoning, and integrate responsible AI principles. Leveraging Apache Spark's scalability and Azure Databricks' collaborative tools, the course focuses on practical engineering workflows—from model evaluation to lifecycle management (LLMOps)—for building enterprise-grade AI solutions.

​​Microsoft's Implement Generative AI engineering with Azure Databricks course Outline

Learn the Implement Generative AI engineering with Azure Databricks

Dive into Microsoft's ​​Implement Generative AI Engineering with Azure Databricks​​ course. This 7-hour, hands-on learning path teaches you to build scalable AI systems using Azure Databricks, from fine-tuning LLMs to deploying RAG and LLMOps pipelines. Perfect for data engineers and AI developers, you'll learn to balance innovation with ethical AI practices while leveraging Apache Spark's power. Whether you're optimizing customer chatbots or automating workflows, this course delivers actionable skills for real-world AI solutions. Start your journey today and transform how you engineer intelligent systems!

Start your journey today:

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Course Structure Includes:

The course includes seven modules:

  • ​​Language Models in Azure Databricks​​: Basics of LLMs for NLP tasks like summarization and translation.
  • ​​Retrieval Augmented Generation (RAG)​​: Integrate external data to improve generative accuracy.
  • ​​Multi-Stage Reasoning​​: Break down complex problems into structured workflows.
  • ​​Fine-Tuning LLMs​​: Adapt pre-trained models for specialized tasks.
  • ​​LLM Evaluation​​: Compare metrics and assess performance.
  • ​​Responsible AI Principles​​: Mitigate risks and implement ethical safeguards.
  • ​​LLMOps​​: Deploy and manage LLMs across their lifecycle.

Training Options

Self Paced Learning
  • Lifelong access to high-quality content
  • Curated by industry experts
  • Customized learning progress
  • 24/7 learner assistance and support
  • Follow the latest technology trends
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Exam Dump
  • 100% Real Exam Practice Tests
  • 100% Verified Exam Questions & Answers
  • 100% Guarantee Passing Rate
  • Average 7 Days to Practice & Pass
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Description

Learn to build, fine-tune, and deploy generative AI systems using Azure Databricks. Master RAG, multi-stage reasoning, LLMOps, and ethical AI practices for scalable solutions.

Pre-requisites

You should be familiar with fundamental AI concepts and Azure Databricks.

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Benefits of AWS Certified AI Practitioner Certification

​​Microsoft Certified: Azure AI Fundamentals (AI-900)​​ is an entry-level certification designed to validate foundational knowledge of AI and machine learning concepts, including computer vision, natural language processing (NLP), generative AI, and responsible AI principles. Ideal for both technical and non-technical professionals, it requires no prior coding experience and offers free, flexible learning resources via Microsoft Learn. The certification enhances career prospects in high-demand roles like AI Engineer or Data Scientist, with potential salary increases up to 20%, while serving as a gateway to advanced Azure certifications (e.g., AI-102). Cost-effective and time-efficient (preparation in 10–30 hours), the exam focuses on real-world applications using Azure Cognitive Services, OpenAI APIs, and Azure Machine Learning. With permanent validity and global recognition across 90+ countries, it equips professionals to drive AI innovation in industries such as healthcare and finance. Start your AI journey with Microsoft Learn today!

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