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Duration 4 Days 24 CPD hours This course is intended for Successful students have experience and knowledge in IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platforms, and governance. Students also have experience designing and architecting solutions. Before attending this course, students must have previous experience deploying or administering Azure resources and strong conceptual knowledge of: Azure compute technologies such as VMs, containers and serverless solutions Azure virtual networking to include load balancers Azure Storage technologies (unstructured and databases) General application design concepts such as messaging and high availability This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles. Prerequisites Before attending this course, students must have previous experience deploying or administering Azure resources and conceptual knowledge of: Azure Active Directory Azure compute technologies such as VMs, containers and serverless solutions Azure virtual networking to include load balancers Azure Storage technologies (unstructured and databases) General application design concepts such as messaging and high availability AZ-104T00 - Microsoft Azure Administrator 1 - Design governance Design for governance Design for management groups Design for subscriptions Design for resource groups Design for resource tags Design for Azure Policy Design for role-based access control (RBAC) Design for Azure landing zones 2 - Design an Azure compute solution Choose an Azure compute service Design for Azure Virtual Machines solutions Design for Azure Batch solutions Design for Azure App Service solutions Design for Azure Container Instances solutions Design for Azure Kubernetes Service solutions Design for Azure Functions solutions Design for Azure Logic Apps solutions 3 - Design a data storage solution for non-relational data Design for data storage Design for Azure storage accounts Design for data redundancy Design for Azure Blob Storage Design for Azure Files Design for Azure managed disks Design for storage security 4 - Design a data storage solution for relational data Design for Azure SQL Database Design for Azure SQL Managed Instance Design for SQL Server on Azure Virtual Machines Recommend a solution for database scalability Recommend a solution for database availability Design security for data at rest, data in motion, and data in use Design for Azure SQL Edge Design for Azure Cosmos DB and Table Storage 5 - Design data integration Design a data integration solution with Azure Data Factory Design a data integration solution with Azure Data Lake Design a data integration and analytic solution with Azure Databricks Design a data integration and analytic solution with Azure Synapse Analytics Design strategies for hot, warm, and cold data paths Design an Azure Stream Analytics solution for data analysis 6 - Design an application architecture Describe message and event scenarios Design a messaging solution Design an Azure Event Hubs messaging solution Design an event-driven solution Design a caching solution Design API integration Design an automated app deployment solution Design an app configuration management solution 7 - Design authentication and authorization solutions Design for identity and access management (IAM) Design for Microsoft Entra ID Design for Microsoft Entra business-to-business (B2B) Design for Azure Active Directory B2C (business-to-customer) Design for conditional access Design for identity protection Design for access reviews Design service principals for applications Design managed identities Design for Azure Key Vault 8 - Design a solution to log and monitor Azure resources Design for Azure Monitor data sources Design for Azure Monitor Logs (Log Analytics) workspaces Design for Azure Workbooks and Azure insights Design for Azure Data Explorer 9 - Design network solutions Recommend a network architecture solution based on workload requirements Design patterns for Azure network connectivity services Design outbound connectivity and routing Design for on-premises connectivity to Azure Virtual Network Choose an application delivery service Design for application delivery services Design for application protection services 10 - Design a solution for backup and disaster recovery Design for backup and recovery Design for Azure Backup Design for Azure blob backup and recovery Design for Azure files backup and recovery Design for Azure virtual machine backup and recovery Design for Azure SQL backup and recovery Design for Azure Site Recovery 11 - Design migrations Evaluate migration with the Cloud Adoption Framework Describe the Azure migration framework Assess your on-premises workloads Select a migration tool Migrate your structured data in databases Select an online storage migration tool for unstructured data Migrate offline data 12 - Introduction to the Microsoft Azure Well-Architected Framework Azure Well-Architected Framework pillars Cost optimization Operational excellence Performance efficiency Reliability Security 13 - Microsoft Azure Well-Architected Framework - Cost Optimization Develop cost-management discipline Design with a cost-efficiency mindset Design for usage optimization Design for rate optimization Monitor and optimize over time 14 - Microsoft Azure Well-Architected Framework - Operational excellence Embrace DevOps culture Establish development standards Evolve operations with observability Deploy with confidence Automate for efficiency Adopt safe deployment practices 15 - Microsoft Azure Well-Architected Framework - Performance efficiency Negotiate realistic performance targets Design to meet capacity requirements Achieve and sustain performance Improve efficiency through optimization 16 - Microsoft Azure Well-Architected Framework - Reliability Design for business requirements Design for resilience Design for recovery Design for operations Keep it simple 17 - Microsoft Azure Well-Architected Framework - Security Plan your security readiness Design to protect confidentiality Design to protect integrity Design to protect availability Sustain and evolve your security posture 18 - Getting started with the Microsoft Cloud Adoption Framework for Azure Customer narrative Common blockers 19 - Prepare for successful cloud adoption with a well-defined strategy Customer narrative Capture strategic motivation Define objectives and key results Evaluate financial considerations Understand technical considerations Create a business case 20 - Prepare for cloud adoption with a data-driven plan Customer narrative 21 - Choose the best Azure landing zone to support your requirements for cloud operations Customer narrative Common operating models Design areas for Azure landing zones Design principles for Azure landing zones Journey to the target architecture Choose an Azure landing zone option Deploy the Azure landing zone accelerator Enhance your landing zone 22 - Migrate to Azure through repeatable processes and common tools Customer narrative Migration process Migration tools Common tech platforms 23 - Address tangible risks with the Govern methodology of the Cloud Adoption Framework for Azure Customer narrative Govern methodology Corporate policies Governance disciplines Deploy a cloud governance foundation The Cost Management discipline 24 - Ensure stable operations and optimization across all supported workloads deployed to the cloud Establish business commitments Deploy an operations baseline Protect and recover Enhance an operations baseline Manage platform and workload specialization 25 - Innovate applications by using Azure cloud technologies Follow the innovation lifecycle Azure technologies for the build process Infuse your applications with AI Azure technologies for measuring business impact Azure technologies for the learn process 26 - Prepare for cloud security by using the Microsoft Cloud Adoption Framework for Azure Customer narrative Methodology Security roles and responsibilities Simplify compliance and security Simplify security implementation Security tools and policies Additional course details: Nexus Humans AZ-305T00: Designing Microsoft Azure Infrastructure Solutions training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AZ-305T00: Designing Microsoft Azure Infrastructure Solutions course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Learn how to use Macros in Excel to automate your work and start to see the power these can give you. Course overview Duration: 1 day (6.5 hours) Our Excel – Working with Macros course aims to show how macros can be used to automate commonly used commands and processes. This course is designed for existing experienced users of Excel. You should be confident creating and manipulating Excel spreadsheets and creating formulas before attending this course. Objectives By the end of the course you will be able to: Record and run macros Navigate within the Visual Basic Environment Edit pre-recorded macros Create your own functions Content Recording macros Accessing the Developer Tab Naming conventions and storage locations Recording macros Absolute and relative cell addressing Running macros Assigning macros to the Quick Access Toolbar Assigning macros to objects Creating new tabs Workbook macros Recording macros in a specific workbook Saving the workbook as an Excel Macro-Enabled Workbook Creating quick access items specific to workbooks Importing and manipulating data Importing Delimited Text Files Importing Fixed Width Text Files The Visual Basic environment Project explorer Code window Properties window Renaming modules Deleting modules Working with code Code structure Adding comments Navigating within your code Editing macro code Getting help with syntax Debugging Errors Using debug Function procedures Creating function macros

Uncovering Emotional Root Causes of Health Challenges Instructor Craig Weiner, DC, Licensed MetaHealth Foundation Trainer, EFT Master Trainer of Trainers. Learn to apply a method of analysis that effectively guides the application and integration of EFT, Matrix Reimprinting and other alternative healing modalities you may already currently use for yourself and on your clients. Discover how symptoms and disease are actually an intelligent process that is the body’s attempt to heal stress and trauma. With this knowledge, fear can be greatly reduced and a therapeutic intervention can then be utilized in a more precise way. You and your clients will achieve results faster and will be amazed at the insights, connections and progress they make in their healing journey. META-Health is the science, practice and art of Body-Mind-Social Health with a focus on how specific stress triggers, emotions and beliefs affect specific organ symptoms. META-Health is a methodology based on Integrative Medicine and Prevention and is practiced by all types of health professionals interested in a precise and effective Body-Mind-Social analysis and approach towards most effectively supporting individuals working to find emotional and physical healing. Your trainer for this Foundation weekend will be Craig Weiner, who has worked in the complementary health care field for over 30 years. He brings his professional clinical experience, his years as an educator and certified trainer in the Emotional Freedom Techqniques and Matrix Reimprinting and as a licensed META-Health Foundation Trainer. In the Foundation Course you will get the overview of the META-Health concepts and its implications for self-healing, assistance in transforming disease, and achieving sustainable health and resilience, including: Rhythms of life, and the organism’s self-regulating intelligence How the bio-logical needs change your perception and create life strategies How to decode the language of your organs Recognize the key points and phases of the healing process Experience the powerful META-Analytics questions Use the 8 milestones of META-Health to address the whole system and its soil Find META-meanings to create resilience Demonstrations and practical exercises will lead you to deeply integrate the wisdom of your body, and inspire you to actively claim and support your health. You will understand the natural, dynamic path of healing, and be empowered to lift your – and others’ – consciousness to make use of our potential! During this weekend we will spend time reviewing the core META-Health Principles: Our body-mind is highly intelligent Bio-logical survival and stress strategies, regeneration and resilience are at play in our brain, nervous system and hormonal system Significant emotional experiences shape our beliefs, personality and lifestyle Specific individual stress triggers influence typical organ tissues and functions The cycle of stress, regeneration and learning goes through distinct points and phases Awareness and imagination are capabilities of our brain which can recreate meaning and reprogram body-mind’s reactions There is no pre-requisite to taking this weekend course. Anyone who is interested can participate in the META-Health Foundation Training. The Foundation Training is the first step in becoming a certified META-Health Practitioner. Times: The course is a 12 hours training and will be held from 9:00 to 4:00 Seattle/Pacific time on both Friday and Saturday with a 60 minute lunch break held at approximately 12:30pm.

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. An Overview of Python Why Python? Python in the Shell Python in Web Notebooks (iPython, Jupyter, Zeppelin) Demo: Python, Notebooks, and Data Science Getting Started Using variables Builtin functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences, Arrays, Dictionaries and Sets About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with Dictionaries Working with Sets Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Functions Defining functions Parameters Global and local scope Nested functions Returning values Essential Demos Sorting Exceptions Importing Modules Classes Regular Expressions The standard library Math functions The string module Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Python and Data Science Data Science Essentials Pandas Overview NumPy Overview SciKit Overview MatPlotLib Overview Working with Python in Data Science Additional course details: Nexus Humans Python for Data Science: Hands-on Technical Overview (TTPS4873) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Python for Data Science: Hands-on Technical Overview (TTPS4873) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 5 Days 30 CPD hours This course is intended for This course is designed for students who want to learn the R programming language, particularly students who want to leverage R for data analysis and data science tasks in their organization. The course is also designed for students with an interest in applying statistics to real-world problems. A typical student in this course should have several years of experience with computing technology, along with a proficiency in at least one other programming language. Overview In this course, you will use R to perform common data science tasks.You will: Set up an R development environment and execute simple code. Perform operations on atomic data types in R, including characters, numbers, and logicals. Perform operations on data structures in R, including vectors, lists, and data frames. Write conditional statements and loops. Structure code for reuse with functions and packages. Manage data by loading and saving datasets, manipulating data frames, and more. Analyze data through exploratory analysis, statistical analysis, and more. Create and format data visualizations using base R and ggplot2. Create simple statistical models from data. In our data-driven world, organizations need the right tools to extract valuable insights from that data. The R programming language is one of the tools at the forefront of data science. Its robust set of packages and statistical functions makes it a powerful choice for analyzing data, manipulating data, performing statistical tests on data, and creating predictive models from data. Likewise, R is notable for its strong data visualization tools, enabling you to create high-quality graphs and plots that are incredibly customizable. This course will teach you the fundamentals of programming in R to get you started. It will also teach you how to use R to perform common data science tasks and achieve data-driven results for the business. Lesson 1: Setting Up R and Executing Simple Code Topic A: Set Up the R Development Environment Topic B: Write R Statements Lesson 2: Processing Atomic Data Types Topic A: Process Characters Topic B: Process Numbers Topic C: Process Logicals Lesson 3: Processing Data Structures Topic A: Process Vectors Topic B: Process Factors Topic C: Process Data Frames Topic D: Subset Data Structures Lesson 4: Writing Conditional Statements and Loops Topic A: Write Conditional Statements Topic B: Write Loops Lesson 5: Structuring Code for Reuse Topic A: Define and Call Functions Topic B: Apply Loop Functions Topic C: Manage R Packages Lesson 6: Managing Data in R Topic A: Load Data Topic B: Save Data Topic C: Manipulate Data Frames Using Base R Topic D: Manipulate Data Frames Using dplyr Topic E: Handle Dates and Times Lesson 7: Analyzing Data in R Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Identify Missing Values Lesson 8: Visualizing Data in R Topic A: Plot Data Using Base R Functions Topic B: Plot Data Using ggplot2 Topic C: Format Plots in ggplot2 Topic D: Create Combination Plots Lesson 9: Modeling Data in R Topic A: Create Statistical Models in R Topic B: Create Machine Learning Models in R

Duration 2 Days 12 CPD hours This course is intended for The audience for B2B Commerce Developer is any individual who will participate in a new implementation who needs working knowledge and experience with B2B Commerce technical components. Attendees should have intermediate skills in: Object Oriented Programming (Apex or Java) Full-Stack Development (VisualForce, JavaScript, CSS and REST APIs, JSON, Handlebars, and jQuery) Salesforce Administration (Sharing Rules, Process Builder, and Object Relationships)This class is designed for individuals responsible for implementing the technical components of a new B2B Commerce Cloud storefront. You should have some experience with the following: Object-oriented programming (Apex or Java) Full-stack development (Visualforce, JavaScript, CSS and REST APIs, JSON, Handlebars, and jQuery) Salesforce Administration (Sharing Rules, Process Builder, and Object Relationships) Overview Identify where and what events require code extension. Effectively navigate and configure in B2B Commerce on Classic Admin. Implement UI, Logic Class, and Service Class Overrides along with Subscriber Code Integration. Create your own B2B Commerce on Classic solution and troubleshoot problem areas during the development cycle. Take the next step toward a B2B Commerce Developer Accreditation. Explore the Salesforce B2B Commerce platform on Classic and discover how and when to extend your events with code. In this 2-day class, our B2B Commerce Cloud experts will walk you through how to use code to customize the UI and extend functionality in your B2B Commerce Cloud on Classic storefront so you can deliver a buyer experience that satisfies your organization?s unique requirements. Technical Overview Review Key Terms Understand B2B Commerce on Classic Architecture and Technology Stack Take a Tour of the UI Understand B2C Commerce Cloud on Classic Admin Configuration vs. Code Extension Storefront Overview Implement B2B Commerce on Classic Create a Storefront Load Data Enable Buyers User Interface Review UI Best Practices Familiarize Yourself with Key Terms Explore UI Themes Customize UI Layouts Use Subscriber Templates Use Page Includes Manage Subscriber Pages Extensions Override Handlebars Extend My Account Extend B2B Commerce Checkout Flow Explore Global JavaScript Functions Understand B2B Commerce Event Handling Explore Handlebars Functions Explore Localization Functions Extend Utility Functions and Objects Extend Global Extension Points Core Capabilities Handle Cases Using Process Builder Configure Payment Types

Duration 5 Days 30 CPD hours This course is intended for This course is intended for students new to computer programming or experienced programmers who are new to client-side web development. Overview After completing this course, you will be able to: Describe the technologies involved in web development. Create HTML pages with links and images. Explain the benefits of CSS. Style HTML pages with CSS. Explain the concepts of objects, methods, and properties. Work with JavaScript variables. Create their own custom functions in JavaScript. Write flow control logic in JavaScript. Write JavaScript code that listens for and handles events, such as mouse clicks and page loads. Create forms with HTML and validate them with JavaScript. Use regular expressions in JavaScript for advanced form validation. This course is intended for IT professionals interested in becoming client-side web developers. who need to get a jump start on all three technologies. The course includes more than 30 exercises, providing a rapid hands-on introduction to the three major client-side languages: HTML, CSS, and JavaScript. Students should be prepared to cover a lot of ground quickly.This material updates and replaces course Microsoft course 20480 which was previously published under the title Programming in HTML5 with JavaScript and CSS3. Module 1: A Quick Overview of Web Development HTML is Part of a Team Client-side Programming Server-side Programming Web Development Technologies Module 2: Introduction to HTML Exercise: A Simple HTML Document Getting Started with a Simple HTML Document HTML Elements, Attributes, and Comments The HTML Skeleton Viewing the Page Source Special Characters HTML Elements and Special Characters History of HTML The lang Attribute Module 3: Paragraphs, Headings, and Text Paragraphs Heading Levels Breaks and Horizontal Rules Exercise: Paragraphs, Headings, and Text The div Tag Creating an HTML Page Quoted Text Preformatted Text Inline Semantic Elements Exercise: Adding Inline Elements Module 4: HTML Links Links Introduction Text Links Absolute vs. Relative Paths Targeting New Tabs Email Links Exercise: Adding Links Lorem Ipsum The title Attribute Linking to a Specific Location on the Page Targeting a Specific Location on the Page Module 5: HTML Images Inserting Images Image Links Adding Images to the Document Exercise: Adding Images to the Page Providing Alternative Images Module 6: HTML Lists Unordered Lists Ordered Lists Definition Lists Exercise: Creating Lists Module 7: Crash Course in CSS Benefits of Cascading Style Sheets CSS Rules Selectors Combinators Precedence of Selectors How Browsers Style Pages CSS Resets CSS Normalizers External Stylesheets, Embedded Stylesheets, and Inline Styles Exercise: Creating an External Stylesheet Exercise: Creating an Embedded Stylesheet Exercise: Adding Inline Styles div and span Exercise: Styling div and span Media Types Units of Measurement Inheritance Module 8: CSS Fonts font-family @font-face font-size font-style font-variant font-weight line-height font shorthand Exercise: Styling Fonts Module 9: Color and Opacity About Color and Opacity Color and Opacity Values Color Opacity Exercise: Adding Color and Opacity to Text Module 10: CSS Text letter-spacing text-align text-decoration text-indent text-shadow text-transform white-space word-break word-spacing Exercise: Text Properties Module 11: JavaScript Basics JavaScript vs. EcmaScript The HTML DOM JavaScript Syntax Accessing Elements Where Is JavaScript Code Written? JavaScript Objects, Methods, and Properties Exercise: Alerts, Writing, and Changing Background Color Module 12: Variables, Arrays, and Operators JavaScript Variables A Loosely Typed Language Google Chrome DevTools Storing User-Entered Data Exercise: Using Variables Constants Arrays Exercise: Working with Arrays Associative Arrays Playing with Array Methods JavaScript Operators The Modulus Operator Playing with Operators The Default Operator Exercise: Working with Operators Module 13: JavaScript Functions Global Objects and Functions Exercise: Working with Global Functions User-defined Functions Exercise: Writing a JavaScript Function Returning Values from Functions Module 14: Built-In JavaScript Objects Strings Math Date Helper Functions Exercise: Returning the Day of the Week as a String Module 15: Conditionals and Loops Conditionals Short-circuiting Switch / Case Ternary Operator Truthy and Falsy Exercise: Conditional Processing Loops while and do?while Loops for Loops break and continue Exercise: Working with Loops Array: forEach() Module 16: Event Handlers and Listeners On-event Handlers Exercise: Using On-event Handlers The addEventListener() Method Anonymous Functions Capturing Key Events Exercise: Adding Event Listeners Benefits of Event Listeners Timers Typing Test Module 17: The HTML Document Object Model CSS Selectors The innerHTML Property Nodes, NodeLists, and HTMLCollections Accessing Element Nodes Exercise: Accessing Elements Dot Notation and Square Bracket Notation Accessing Elements Hierarchically Exercise: Working with Hierarchical Elements Accessing Attributes Creating New Nodes Focusing on a Field Shopping List Application Exercise: Logging Exercise: Adding EventListeners Exercise: Adding Items to the List Exercise: Dynamically Adding Remove Buttons to the List Items Exercise: Removing List Items Exercise: Preventing Duplicates and Zero-length Product Names Manipulating Tables Module 18: HTML Forms How HTML Forms Work The form Element Form Elements Buttons Exercise: Creating a Registration Form Checkboxes Radio Buttons Exercise: Adding Checkboxes and Radio Buttons Fieldsets Select Menus Textareas Exercise: Adding a Select Menu and a Textarea HTML Forms and CSS Module 19: JavaScript Form Validation Server-side Form Validation HTML Form Validation Accessing Form Data Form Validation with JavaScript Exercise: Checking the Validity of the Email and URL Fields Checking Validity on Input and Submit Events Adding Error Messages Validating Textareas Validating Checkboxes Validating Radio Buttons Validating Select Menus Exercise: Validating the Ice Cream Order Form Giving the User a Chance Module 20: Regular Expressions Getting Started Regular Expression Syntax Backreferences Form Validation with Regular Expressions Cleaning Up Form Entries Exercise: Cleaning Up Form Entries A Slightly More Complex Example

Duration 3 Days 18 CPD hours This course is intended for Students in this course are experienced AWS developers interested in Azure development. A three-day course designed to teach AWS (Amazon Web Services) developers how to prepare end-to-end solutions in Microsoft Azure. In this course you will construct Azure App Service Web App solutions and Azure Functions, use blob or Cosmos DB storage in solutions, implement secure cloud solutions that include user authentication and authorization, implement API management, and develop event- and message-based solutions, and monitor, troubleshoot, and optimize your Azure solutions. You will learn how developers use Azure services, with additional focus on features and tasks that differ from AWS, and what that means for you as you develop applications that will be hosted by using Azure services Create Azure App Service Web Apps Azure App Service core concepts Creating an Azure App Service Web App Configuring and Monitoring App Service apps Scaling App Service apps Azure App Service staging environments Implement Azure functions Azure Functions overview Developing Azure Functions Implement Durable Functions Develop solutions that use blob storage Azure Blob storage core concepts Managing the Azure Blob storage lifecycle Working with Azure Blob storage Create an Azure Resource Manager Template Develop solutions that use Cosmos DB storage Azure Cosmos DB overview Azure Cosmos DB data structure Working with Azure Cosmos DB resources and data Create and deploy ARM templates Implement user authentication and authorization Microsoft Identity Platform v2.0 Authentication using the Microsoft Authentication Library Using Microsoft Graph Authorizing data operations in Azure Storage Implement secure cloud solutions Manage keys, secrets, and certificates by using the KeyVault API Implement Managed Identities for Azure resources Secure app configuration data by using Azure App Configuration Implement API Management API Management overview Defining policies for APIs Securing your APIs Develop event-based solutions Implement solutions that use Azure Event Grid Implement solutions that use Azure Event Hubs Implement solutions that use Azure Notification Hubs Develop message-based solutions Implement solutions that use Azure Service Bus Implement solutions that use Azure Queue Storage queues Monitor and optimize Azure solutions Overview of monitoring in Azure Instrument an app for monitoring Analyzing and troubleshooting apps Implement code that handles transient faults Additional course details: Nexus Humans AZ-020T00 - Microsoft Azure solutions for AWS Developers training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AZ-020T00 - Microsoft Azure solutions for AWS Developers course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for The ideal audience for this course includes database enthusiasts, IT professionals, and developers who are eager to expand their knowledge and skill set in database management and optimization. Roles that would greatly benefit from attending this course include: Database Developers: Those who design, implement, and maintain databases as part of their primary responsibilities and want to improve their expertise in schema design, query optimization, and advanced database features. Backend Developers: Professionals who work on server-side application logic and require a strong understanding of database management to integrate data storage and retrieval processes into their applications. Overview Upon completing this course, database developers will be able to: Design and implement efficient database schemas by employing normalization techniques, appropriate indexing strategies, and partitioning methods to optimize data storage and retrieval processes. Develop advanced SQL queries, including joining multiple tables, utilizing subqueries, and aggregating data, to extract valuable insights and facilitate decision-making processes. Implement stored procedures, functions, and triggers to automate common database tasks, enforce data integrity, and improve overall application performance. Apply database performance tuning techniques, such as query optimization, index management, and transaction control, to ensure optimal resource usage and enhanced system responsiveness. Integrate databases with various programming languages and platforms, enabling seamless data access and manipulation for web, mobile, and desktop applications. PostgreSQL is a powerful, open-source object-relational database management system that emphasizes extensibility, data integrity, and high performance. Its versatility and robust feature set make it an ideal choice for developers working on projects of all sizes, from small-scale applications to enterprise-level systems. By learning PostgreSQL, developers can tap into its advanced capabilities, such as full-text search, spatial data support, and customizable data types, allowing them to create efficient and scalable solutions tailored to their unique needs. PostgreSQL for Database Developers is a three-day hands-on course that explores the fundamentals of database management, covering everything from installation and management to advanced SQL functions. Designed for beginners and enthusiasts alike, this course will equip you with the knowledge and skills required to effectively harness the power of PostgreSQL in today's data-driven landscape. Throughout the course you?ll be immersed in a variety of essential topics, such as understanding data types, creating and managing indexes, working with array values, and optimizing queries for improved performance. You?ll gain valuable hands-on experience with real-world exercises, including the use of the psql client, writing triggers and stored procedures with PL/pgSQL, and exploring advanced SQL functions like Common Table Expressions (CTE), Window Functions, and Recursive Queries. You?ll exit this course with a solid foundation in PostgreSQL, enabling you to confidently navigate and manage your databases with ease and efficiency. Installing & Managing PostgreSQL PostgreSQL installation process Optimal configuration settings User and role management Database backup and restoration Overview of PostgreSQL Database PostgreSQL architecture overview Understanding database objects Efficient data storage Transaction management basics Using the psql client Introduction to psql Essential psql commands Executing queries effectively Managing databases with psql Understanding PostgreSQL data types Numeric data types explored Character and binary types Date, time, and boolean values Array and other types Understanding sequences Sequence creation and usage Customizing sequence behavior Implementing auto-increment columns Sequence manipulation and control Creating & managing indexes PostgreSQL index fundamentals Designing partial indexes Utilizing expression-based indexes Index management techniques Using COPY to load data COPY command overview Importing and exporting data Handling CSV and binary formats Performance considerations Working with Array Values Array value basics Array manipulation functions Querying arrays efficiently Multidimensional array handling Advanced SQL Functions Mastering Common Table Expressions Utilizing Window Functions Regular Expressions in SQL Crafting Recursive Queries Writing triggers & stored procedures with PL/pgSQL PL/pgSQL variables usage Implementing loop operations PERFORM and EXECUTE statements Developing PostgreSQL triggers Using the PostgreSQL query optimizer Query analysis and optimization EXPLAIN command insights PostgreSQL query operators Identifying performance bottlenecks Improving query performance Query performance tuning Index optimization strategies Efficient database partitioning Connection and resource management Wrap Up & Additional Resources Further learning opportunities Staying up-to-date with PostgreSQL Community engagement and support Additional course details: Nexus Humans PostgreSQL for Database Developers (TTDB7024) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the PostgreSQL for Database Developers (TTDB7024) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.