Databricks for Generative AI Skills you will learn

  • Introduction to Generative AI Models
  • Databricks Platform for AI Workflows
  • Data Preprocessing and Transformation
  • Building and Training Generative AI Models
  • Leveraging Delta Lake for Data Storage
  • Model Optimization and Hyperparameter Tuning

Who should learn this free Databricks for Generative AI course

  • Generative AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Data Engineer
  • AI Research Scientist
  • Business Intelligence Analyst

What you will learn in this Databricks for Generative AI course?

  • Get Started with Databricks for Generative AI

    • Course Introduction

      01:50
      • Course Introduction
        01:50
    • Module 1: Databricks Mosaic AI Overview

      07:42
      • Introduction to Databricks Mosaic AI Overview
        00:34
      • The Generative AI Opportunity
        03:24
      • Databricks Mosaic AI Platform
        03:44
    • Module 2: Prompt Engineering with Internal and External Models

      25:11
      • Introduction to Prompt Engineering with Internal & External Models final
        00:50
      • Prompt Engineering Basics
        06:00
      • Demo: Prompt Engineering in AI Playground
        06:21
      • Introduction to Mosaic AI Gateway
        03:05
      • Demo: External Models with AI Gateway
        08:55
    • Module 3: Build and Register a RAG Pipeline

      27:36
      • Retrieval Augmented Generation (RAG) Fundamentals
        05:43
      • Mosaic AI Vector Search
        07:03
      • MLflow for GenAI
        04:43
      • Demo: Build and Register a RAG Application
        10:07
    • Module 4: Evaluating and Deploying AI Systems

      22:36
      • End-to-end Evaluation
        12:35
      • Demo: Evaluation with Agent Framework
        04:15
      • Real-time Deployment with Model Serving
        02:40
      • Demo: Real-time Deployment with Model Serving
        03:06
    • Course Summary and Next Steps

      01:46
      • Course Summary and Next Steps
        01:46

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Why you should learn Databricks for Generative AI?

$356.03 Billion

Expected size of the global Generative AI market by 2030.

$163K+ (USA) | INR 10.5 LPA

Average Salary of a Machine Learning Engineer annually.

About the Course

The Databricks for Generative AI course offers an introduction to Databricks, a powerful platform for building and deploying Generative AI models. This course covers the essentials of data preparation, model training, and AI deployment using Apache Spark and Delta Lake. Learn how to create scalable data pipelines, leverage real-time data processing, and explore practic

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FAQs

  • What is the Get Started with Databricks for Generative AI course about?

    This course introduces how to use Databricks for building and deploying Generative AI models. It covers model development, data pipelines, and utilizing Databricks’ powerful environment to create, train, and deploy AI models such as language models, image generators, and more.

  • Who should take this Databricks for Generative AI course?

    This course is ideal for data scientists, machine learning engineers, and AI practitioners looking to understand how to integrate Generative AI models with Databricks for building advanced AI-driven applications.

  • Do I need prior experience with Databricks or Generative AI?

    While prior experience with Generative AI or Databricks is not required, familiarity with machine learning, Python programming, and basic AI concepts will help you better understand the course material.

  • What is Generative AI, and why is it important?

    Generative AI refers to algorithms that can generate new content (like text, images, or music) based on learned patterns. It is important for creating intelligent systems, automating content generation, and enhancing various applications such as chatbots, recommendation systems, and more.

  • What tools and technologies are covered in this Databricks for Generative AI course?

    The course covers Databricks, Apache Spark, Delta Lake, Python, and key Generative AI frameworks such as GPT, GANs (Generative Adversarial Networks), and other cutting-edge AI technologies for content generation.

  • What will I learn in this Databricks for Generative AI course?

    You will learn how to use Databricks to build data pipelines, train and fine-tune Generative AI models, integrate AI models into applications, and deploy them efficiently in a cloud environment using Databricks.

  • How is this Databricks for Generative AI course structured?

    The course is structured with video tutorials, hands-on exercises, and real-world use cases. You’ll get practical experience building, fine-tuning, and deploying Generative AI models using Databricks.

  • How long will it take to complete this Databricks for Generative AI course?

    This Get started with Databricks for Generative AI course is 2 hours long.

  • What are the practical applications of Generative AI covered in this Databricks for Generative AI course?

    You’ll work on building Generative AI applications like text generation models, image generation, and how to integrate these AI models into business use cases such as automated content creation, AI chatbots, and personalized recommendations.

  • How will this Databricks for Generative AI course help advance my career in AI?

    By completing the Generative AI with Databricks course, you’ll acquire practical skills in model training, data management, and AI deployment using a leading platform. These skills are in high demand, especially as Generative AI continues to gain popularity across industries.

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.