43518 Courses

Duration 3 Days 18 CPD hours This course is intended for Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform Overview This course teaches students the following skills: Derive insights from data using the analysis and visualization tools on Google Cloud Platform Interactively query datasets using Google BigQuery Load, clean, and transform data at scale Visualize data using Google Data Studio and other third-party platforms Distinguish between exploratory and explanatory analytics and when to use each approach Explore new datasets and uncover hidden insights quickly and effectively Optimizing data models and queries for price and performance Want to know how to query and process petabytes of data in seconds? Curious about data analysis that scales automatically as your data grows? Welcome to the Data Insights course! This four-course accelerated online specialization teaches course participants how to derive insights through data analysis and visualization using the Google Cloud Platform. The courses feature interactive scenarios and hands-on labs where participants explore, mine, load, visualize, and extract insights from diverse Google BigQuery datasets. The courses also cover data loading, querying, schema modeling, optimizing performance, query pricing, and data visualization. This specialization is intended for the following participants: Data Analysts, Business Analysts, Business Intelligence professionals Cloud Data Engineers who will be partnering with Data Analysts to build scalable data solutions on Google Cloud Platform To get the most out of this specialization, we recommend participants have some proficiency with ANSI SQL. Introduction to Data on the Google Cloud Platform Highlight Analytics Challenges Faced by Data Analysts Compare Big Data On-Premises vs on the Cloud Learn from Real-World Use Cases of Companies Transformed through Analytics on the Cloud Navigate Google Cloud Platform Project Basics Lab: Getting started with Google Cloud Platform Big Data Tools Overview Walkthrough Data Analyst Tasks, Challenges, and Introduce Google Cloud Platform Data Tools Demo: Analyze 10 Billion Records with Google BigQuery Explore 9 Fundamental Google BigQuery Features Compare GCP Tools for Analysts, Data Scientists, and Data Engineers Lab: Exploring Datasets with Google BigQuery Exploring your Data with SQL Compare Common Data Exploration Techniques Learn How to Code High Quality Standard SQL Explore Google BigQuery Public Datasets Visualization Preview: Google Data Studio Lab: Troubleshoot Common SQL Errors Google BigQuery Pricing Walkthrough of a BigQuery Job Calculate BigQuery Pricing: Storage, Querying, and Streaming Costs Optimize Queries for Cost Lab: Calculate Google BigQuery Pricing Cleaning and Transforming your Data Examine the 5 Principles of Dataset Integrity Characterize Dataset Shape and Skew Clean and Transform Data using SQL Clean and Transform Data using a new UI: Introducing Cloud Dataprep Lab: Explore and Shape Data with Cloud Dataprep Storing and Exporting Data Compare Permanent vs Temporary Tables Save and Export Query Results Performance Preview: Query Cache Lab: Creating new Permanent Tables Ingesting New Datasets into Google BigQuery Query from External Data Sources Avoid Data Ingesting Pitfalls Ingest New Data into Permanent Tables Discuss Streaming Inserts Lab: Ingesting and Querying New Datasets Data Visualization Overview of Data Visualization Principles Exploratory vs Explanatory Analysis Approaches Demo: Google Data Studio UI Connect Google Data Studio to Google BigQuery Lab: Exploring a Dataset in Google Data Studio Joining and Merging Datasets Merge Historical Data Tables with UNION Introduce Table Wildcards for Easy Merges Review Data Schemas: Linking Data Across Multiple Tables Walkthrough JOIN Examples and Pitfalls Lab: Join and Union Data from Multiple Tables Advanced Functions and Clauses Review SQL Case Statements Introduce Analytical Window Functions Safeguard Data with One-Way Field Encryption Discuss Effective Sub-query and CTE design Compare SQL and Javascript UDFs Lab: Deriving Insights with Advanced SQL Functions Schema Design and Nested Data Structures Compare Google BigQuery vs Traditional RDBMS Data Architecture Normalization vs Denormalization: Performance Tradeoffs Schema Review: The Good, The Bad, and The Ugly Arrays and Nested Data in Google BigQuery Lab: Querying Nested and Repeated Data More Visualization with Google Data Studio Create Case Statements and Calculated Fields Avoid Performance Pitfalls with Cache considerations Share Dashboards and Discuss Data Access considerations Optimizing for Performance Avoid Google BigQuery Performance Pitfalls Prevent Hotspots in your Data Diagnose Performance Issues with the Query Explanation map Lab: Optimizing and Troubleshooting Query Performance Advanced Insights Introducing Cloud Datalab Cloud Datalab Notebooks and Cells Benefits of Cloud Datalab Data Access Compare IAM and BigQuery Dataset Roles Avoid Access Pitfalls Review Members, Roles, Organizations, Account Administration, and Service Accounts

Duration 1 Days 6 CPD hours This course is intended for This introductory-level course is great for experienced technical professionals working in a wide range of industries, such as software development, data science, marketing and advertising, finance, healthcare, and more, who are looking to use the latest AI and machine learning techniques in their day to day. The hands-on labs in this course use Python, so you should have some familiarity with Python scripting basics. Overview Working in an interactive learning environment, led by our engaging OpenAI expert you'll: Understand the capabilities and products offered by OpenAI and how to access them through the OpenAI API. set up an OpenAI environment on Azure, including creating an Azure virtual machine and configuring the environment to connect to Azure resources. Gain hands-on experience building a GPT-3 based chatbot on Azure and implement advanced natural language processing capabilities. Use the OpenAI API to access GPT-3 and generate high-quality text Learn how to use Whisper to improve the quality of text generation. Understand the capabilities of DALL-E and use it to generate images for unique and engaging visuals. Geared for technical professionals, Quick Start to Azure AI Basics for Technical Users is a fun, fast paced course designed to quickly get you up to speed with OpenAI?s powerful tools and functionality, and to provide hands-on experience in setting up an OpenAI environment on Azure. Guided by our AI expert, you?ll explore the capabilities of OpenAI's GPT-3, Whisper and DALL-E, and build a chatbot on Azure. It will provide you with the knowledge and resources to continue your journey in AI and machine learning and have a good understanding of the potential of OpenAI and Azure for your projects. First, you?ll dive into the world of OpenAI, learning about its products and the capabilities they offer. You'll also discover how Azure's offerings for AI and machine learning can complement OpenAI's tools and resources, providing you with a powerful combination for your projects. And don't worry if you're new to Azure, we'll walk you through the process of setting up an account and creating a resource group. As you progress through the course, you'll get the chance to work with OpenAI's GPT-3, one of the most advanced large language models available today. You'll learn how to use the OpenAI API to access GPT-3 and discover how to use it to generate high-quality text quickly and easily. And that's not all, you'll also learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to implement advanced natural language processing capabilities in your chatbot projects. The course will also cover OpenAI Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. And you will learn about OpenAI DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects. Introduction to OpenAI and Azure Explore OpenAI and its products, as well as Azure's offerings for AI and Machine Learning, allowing you to understand the tools and resources available to you for your AI projects. Explore OpenAI and its products Explore Azure and its offerings for AI and Machine Learning Get Hands-On: Setting up an OpenAI environment on Azure Walk through the process of setting up an OpenAI environment on Azure, giving you the hands-on experience needed to start building your own projects using OpenAI and Azure. Create an Azure virtual machine and installing the OpenAI SDK Configure the OpenAI environment and connecting to Azure resources Explore OpenAI GPT-3 Learn about GPT-3, one of OpenAI's most powerful language models, and how to use it to generate high quality text, giving you the ability to create natural language content quickly and easily. Review GPT-3 and its capabilities Use the OpenAI API to access GPT-3 Get Hands-on: Building a GPT-3 based chatbot on Azure Learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to learn how to implement advanced natural language processing capabilities in your chatbot projects. Setup an Azure Function and creating a chatbot Integrate GPT-3 with the chatbot OpenAI Whisper Explore Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. Explore Whisper and its capabilities Use Whisper to improve the quality of text generation OpenAI DALL-E Explore DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects. Explore DALL-E and its capabilities Use the OpenAI API to access DALL-E What?s Next: Keep Going! Other ways OpenAI can impact your day to day Explore great places to check for expanded tools and add-ons for Azure OpenAI Where to go for help and support Quick Look at Generative AI and its Business Implications Understanding Generative AI Generative AI in Business Ethical considerations of Generative AI

Duration 5 Days 30 CPD hours This course is intended for This course is for all Oracle Professionals. Specifically Database Administrators, Web Server Administrators, System Administrators, CIOs and other IT Management Professionals. Overview Upon successful completion of this course, students will be able to understand configuration for installation, configuration of a host system, using Oracle Restart framework, troubleshooting tips, how the database fits with other systems, internals of the database, database failures and other topics. In this course, students will focus on configuration on supported systems. Also how the database fits in with other systems. Oracle Database Architercture Overview The Database Instance Database Memory Structures Database Process Structures Database Storage Architecture Oracle Clusterware Configuring the Host for Standalone Installlation Host Configuration Overview Choosing a Database Host Choosing an Operating System Proprietary Unix vs Open-Source Linux Making the OS Selection Prepare an Oracle LINUX Installation Perform Oracle LINUX Installation Configure the LINUX Host Step 1 - Confirm General System Requirements Step 2 - Confirm The Operating System Platform Step 3 - Confirm LINUX Package Requirements Step 4 - Confirm Network Configuration Configure Host for Virtualization VM Technologies Configure Oracle Linux for Virtualization Step 1 - Download Linux Updates Step 2 - Check Linux Kernel Step 3 - Download Latest yum Configuration File Step 4 - Enable Oracle Linux Add-ons Step 5 - Install VirtualBox Oracle Optimal Flexible Architecture OFA Goals ORACLE_BASE ORACLE_HOME Database Files Multiple ORACLE_HOMEs Databse Software Upgrades Mutliple Oracle Software Installations GRID Infrastructure Configuration Configure the Linux Installation About ASM Devices Configure Linux Devices for ASM Partioning a Device Oracle ASMLib Configue MS Windows Devices GRID Infrastructure Installation Perform the Installation Download Unpack the Installation Package Launch the Installation Session The Installation Dialog Verify the Installation Operating System Confirmation Oracle Utilities Setup SQL*Plus Confirmation Using EM Cloud Control Troubleshooting Problems DATABASE Installation Configuraion Configure a Linux Installation System Groups & Users Configure Kernel Parameters Create the Physical Directories Configure MS Windows Installation Prerequisite Checks & Fixup Utility DATABASE Installation ABOUT THE INSTALLATION The Installation Tools About The Installation Dialog The Installation Session Log PERFORM INSTALLATION ON LINUX Download Unpack The Installation Files Set Environment Variables Launch The Installation SERVER CLASS INSTALLATION DIALOG More About The Global Database Name About Enterprise Manager Cloud Control Secure The New Database PERFORM INSTALLATION ON WINDOWS Launch The Installation POST---INSTALLATION CONFIGURATION Required Environment Variables Defining The Environment Variables About SSH VERIFY THE INSTALLATION SQL*PlusConfirmation Operating System Confirmation Firewall Configuration Accessing EM Database Express Creating Databses Using DBCA About DBCA DBCA Templates Are You Sure? DEFAULT CONFIGURATION DATABASE ADVANCED MODE DATABASE File Location Variables Database Vault and Label Security CONFIGURE AN EXISTING DATABASE DELETE A DATABASE MANAGE TEMPLATES MANUALLY CREATE A DATABASE The CREATE DATABASE Command Using Oracle Restart WHAT IS ORACLE RESTART? What Oracle Restart Does Is Oracle Restart Deprecated? Registering With Oracle Restart More About srvctl Terminal Session Configuration COMPONENT STATUS USING SRVCTL Database Status Grid Infrastructure Status Oracle Home Status CONFIGURATION USING SRVCTL Examining A Database Configuration Examining The Listener Configuration Examining The ASM Configuration Manual Registration ListenerConfiguration Modification Database ConfigurationModification STARTUP/SHUTDOWN USING SRVCTL Why Use srvctl? MANAGING ORACLE RESTART Obtaining Oracle Restart Status Start/Stop Oracle Restart Preparing for a Database Upgrade What is a Database Upgrade? Database Upgrade Methods Real World Database Upgrade Develop A Database Upgrade Plan ABOUT THE DATABASE VERSION Direct Upgrade The COMPATIBLE Database Parameter PRE-UPGRADE PREPARATIONS Oracle Warehouse Builder Oracle Label Security (OLS) Oracle Database Vault Locating The Older Database Installations THE PRE-UPGRADE INFORMATION TOOL Pre-Upgrade Information Tool Files Run The Pre---Upgrade Information Tool Examining The Pre---Upgrade Information Tool Results Upgrade to Oracle Databse 12c Launch DBUA Database Upgrade Dialog Post-Upgrade Tasks Post-Upgrade Checklist Enable Unified Auditing Migrate to Unified Auditing Database Parameter Changes Enable New Features Source Destination Specific Post-Upgrade Tasks Oracle Architecture: The Systems Infrastructure About Enterprise Architectures The Relational Database Legacy Computing Models The Multi-Tiered Computing Model Scaling Up Cloud-Based Deployment ORACLE INFRASTRUCTURE ECOSYSTEM USING ORACLE ENTERPRISE MANAGER More About EM Using EM Database Express Using EM Cloud Control Oracle Architecture: The Database Host The Database Server Stack PROCESSOR LAYER CPU Resources Memory Resources I/O & STORAGE PROCESSING OS LAYER PROCESSING MODES DATABASE SERVER VIRTUALIZATION STORAGE VIRTUALIZATION ORACLE DATABASE SERVER STACK ORACLE ENGINEERED SYSTEMS Oracle Exadata Database Platform Exalogic Cloud Machine Exalytics BI Machine Oracle Architecture: Princilples & Technology Concepts Grid Computing Principles Why Grid Computing? What Is Grid Computing? PARALLELIZATION PRINCIPLES Hardware Parallelization Grid Computing Devices Clustered Database Servers CLOUD COMPUTING PRINCIPLES Multi-Tenancy Oracle Architecture: The RDBMS Installation & the Database Instance The Database Server Software Database Versions & Releases Database Editions Using PRODUCT_COMPONENT_VERSION View The Core Database Components Using V$VERSION View Understanding The Database Version Number The COMPATIBLE Database Parameter DATABASE INSTANCE ELEMENTS Individual Elements Of A Database Instance Physical Database Elements An Operational Database installation DATABASE INSTANCE CONFIGURATIONS Single Instance Parameter Files & Instance Configuration MAX_STRING_SIZE Parameter Example Independent Instances Clustered Instances The Database Instance In A Multi-tenant Configuration RECONFIGURING A DATABASE INSTANCE Static Vs. Dynamic Parameters Dynamic Parameter Setting Parameter Setting Scope Parameter Setting Level Setting Upgrade Related Parameters DATABASE COMPONENTS Advanced Data Functionality Components Security Components High-Performance Components Administration Components Database F

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Duration: 1 Day Who would find this course useful? C++ coders. This course covers C++ programming principals and the syntax of all generally used C++ statements. Level: From beginners. For classroom courses: Bring your own device.

Who would find this course useful? This course excellent for beginners who would like to enter the programmer world via C#. Or for individuals have a particular need for C# Level: A good start for beginners through to intermediate with OOP. Practical confidence will be achieved with a very practical approach to the training. This is normally online, but onsite and classroom courses are also available on request

Duration 1.875 Days 11.25 CPD hours This course is intended for Allied Health Professionals. No prerequisites required Overview Upon completion of this course, students will - Learn the structure of the system and how to use the ICD-10-CM. - Learn how to map ICD-9-CM and ICD-10-CM codes. CEU?s Available :AAPC 4 Units (must have a current certification) AHIMA 6 Units (must have a current certification) - Become familiar with outpatient coding and reporting guidelines The focus of this class is learning the coding rules for the ICD-10-CM coding system and then applying the rules to code patient services. An Overview of ICD-10-CMUsing ICD-10-CMICD-10-CM Outpatient Coding and Reporting GuidelinesChapter Specific Guidelines Chapters 1-10Chapter Specific Guidelines Chapters 11-14Chapter Specific Guidelines Chapters 15-21

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: IT/Senior managers Solutions architects/Enterprise architects Operations professionals Overview This course teaches you how to: Build your cloud strategy. Develop the hiring plan for your cloud team. Choose and prioritize which applications to move to AWS. Build a migration plan for moving workloads to AWS. Manage your AWS expenditures and internal chargebacks. This course teaches you how to select the right strategy, people, migration plan, and financial management methodology needed when moving your workloads to the cloud. This course provides guidance on how to build a holistic cloud adoption plan and how to hire people who will execute that plan. You will learn best practices for choosing workloads to migrate from your on-premises environment to AWS. In addition, you will also learn best practices for managing your AWS expenses and dealing with internal chargebacks. Building Your Cloud StrategyHiring Your Cloud TeamMigration PlanningCloud Expenditure Management

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Technical professionals involved in architecting, building, and operating AWS solutions. Overview In this course, you will learn to: Identify the Well-Architected Framework features, design principles, design pillars, and common uses Apply the design principles, key services, and best practices for each pillar of the WellArchitected Framework Use the Well-Architected Tool to conduct Well-Architected Reviews The Well-Architected Framework enables you to make informed decisions about your customers architectures in a cloud-native way and understand the impact of design decisions that are made. By using the Well-Architected Framework, you will understand the risks in your architecture and ways to mitigate them.This course is designed to provide a deep dive into the AWS Well-Architected Framework and its 5 pillars.This course also covers the Well-Architected Review process, and using the AWS Well-Architected Tool to complete reviews. Module 1: Well-Architected Introduction History of Well-Architected Goals of Well-Architected What is the AWS Well-Architected Framework? The AWS Well-Architected Tool Module 2: Design Principles Operational Excellence