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Data And Ai (Azure Databricks)
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.59 GB | Duration: 9h 39m
Generative AI, Data Analytics, Apache Spark, Machine Learning, Deep Learning, RAG, Azure OpenAI, Azure Databricks
What you'll learn
Data Analytics with Apache Spark in Azure Databricks
Machine Learning with Azure Databricks
Deep Learning with Azure Databricks
Generative AI with Azure Databricks
Implementation of complex concepts like RAG, Hyperparameter tuning, Model Serving with Azure Databricks
Requirements
Familiarity with Python Programming Language is required
A mind open to ideas and new perspectives
Description
Unlock the transformative potential of Azure Databricks with this comprehensive course on Data Analytics, Machine Learning, Deep Learning, and Generative AI. Designed for professionals and enthusiasts, this course equips you with cutting-edge skills to harness the power of Apache Spark and seamlessly integrate it with Azure Databricks for data-driven solutions.Azure Databricks, a unified analytics platform, is revolutionizing how businesses analyze data and deploy machine learning at scale. This course dives deep into its robust features, helping you process large datasets with Apache Spark and extract meaningful insights in real time.You will explore the full spectrum of machine learning and deep learning applications, from predictive modeling to advanced neural networks. Learn to train, optimize, and deploy models effectively while mastering Databricks' MLflow for seamless model management and tracking.But we don't stop there! The course also delves into Generative AI, the forefront of AI innovation. Understand how to leverage generative models to create text, images, and synthetic data for diverse use cases. From foundational concepts to advanced implementations, you'll learn to build intelligent systems that think, learn, and generate.Key highlights of the course:Comprehensive introduction to Azure Databricks and its architecture.Real-time data analytics with Apache Spark.Building scalable machine learning pipelines.Deep learning fundamentals and applications in Azure.Harnessing Generative AI for innovative solutions.Hands-on projects and real-world scenarios for practical understanding.Whether you're a data engineer, machine learning practitioner, or an AI enthusiast, this course is your gateway to mastering modern data science and artificial intelligence with Azure Databricks. Join now and elevate your career to the next level!
Overview
Section 1: Introduction
Lecture 1 Course Introduction
Section 2: Important Concepts
Lecture 2 Understanding Azure Databricks
Lecture 3 Azure Databricks v/s Azure Synapse Analytics
Lecture 4 Microsoft Fabric and Azure Databricks: Match Made in Heaven!!
Section 3: Data Analytics using Apache Spark and SQL
Lecture 5 Understanding Apache Spark and Data Analytics using Azure Databricks
Lecture 6 What is Data Lake and Delta Lake?
Lecture 7 What is a Data Lakehouse?
Lecture 8 What is Apache Spark?
Lecture 9 Unity Catalog ( and MS Purview integration)
Lecture 10 Github Repository for the labs in the course
Lecture 11 Deploying a Databricks Workspace and a Compute Cluster (Hands-On Lab)
Lecture 12 Module 1 (Hands-On Lab)
Lecture 13 Module 2 (Hands-On Lab)
Lecture 14 Module 3 (Hands-On Lab)
Lecture 15 Introduction to Delta Live Tables and Medallion Architecture
Lecture 16 Module 4 (Hands-On Lab)
Section 4: Machine Learning and Deep Learning using Azure Databricks
Lecture 17 Introduction to ML on Azure Databricks
Lecture 18 Understanding Basic ML Concepts
Lecture 19 Understanding Linear Algorithms
Lecture 20 Understanding non-Linear Algorithms
Lecture 21 Module 1: Model Training (Hands-On Lab)
Lecture 22 Module 2: MLflow (Hands-On Lab)
Lecture 23 Module 3: Hyperparameter tuning using Hyperopt (Hands-On Lab)
Lecture 24 Module 4: Using AutoML (Hands-On Lab)
Lecture 25 Introduction to Deep Learning Models
Lecture 26 Module 5: Deep Learning (Hands-On Lab)
Section 5: Generative AI Essentials
Lecture 27 What is Generative AI?
Lecture 28 What is Azure OpenAI?
Lecture 29 What is Prompt Engineering?
Lecture 30 Building Blocks of a Prompt
Lecture 31 Chain Of Thoughts Prompting Technique
Lecture 32 Controlling Output Through Prompt Engineering
Lecture 33 Getting Started with Azure OpenAI resource (Hands-On Lab)
Lecture 34 ChatCompletions API to call GPT engine via code (Hands-On Lab)
Lecture 35 What Are Vector Embeddings?
Lecture 36 Making Use of Embedding Engines via code (Hands-On Lab)
Lecture 37 What is RAG (Retrieval Augmented Generation) ?
Section 6: Generative AI and Azure Databricks
Lecture 38 Introduction to Generative AI on Azure Databricks
Lecture 39 Getting Started with GenAI on Azure Databricks (Hands-On Lab)
Lecture 40 Calling Foundational Models via Code (Hands-On Lab)
Lecture 41 Creating a Basic ChatBot using GPT engine (Hands-On Lab)
Lecture 42 Building a RAG Chatbot (Hands-On Lab)
Software Engineers,Data Scientists,Data Analysts,Machine Learning Engineers,AI Enthusiasts,Cloud Architects,Generative AI Enthusiasts
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