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Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

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Description: Microsoft Access is a database management system (DBMS) from Microsoft. This software combines the relational Jet Database Engine with a graphical user interface and software-development tools. It can also import or link directly to data stored in other applications and databases. Through this course, you will learn the necessary skills, knowledge, and information about Microsoft Access 2013 for the beginner, intermediate, and advanced-level users. Then you learn the different components of the database so that you understand the structure underlying your data. Who is the course for? Professionals who want to learn about the Microsoft Access 2013 People who have an interest in learning all the features of the Access 2013 Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Microsoft Access for Beginners, Intermediate and Advanced course is a useful qualification to possess and would be beneficial for following careers: Software Engineer Technical Support Technical Sales Business Analyst Web Developer Software Tester. Microsoft Access for Beginners Module One - Getting Started 00:30:00 Module Two - Opening and Closing Access 01:00:00 Module Three - An Introduction to Databases 01:00:00 Module Four - Sharing Data Using Apps 01:00:00 Module Five - Working in Your App 01:00:00 Module Six - An Introduction to Desktop Databases 01:00:00 Module Seven - Performing Basic Table Tasks 01:00:00 Module Eight - Working with Fields 01:00:00 Module Nine - Working with Table Relationships 01:00:00 Module Ten - An Introduction to Queries, Forms, and Reports 01:00:00 Module Eleven - Protecting Your Data 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Microsoft Access for Beginners 00:00:00 Microsoft Access for intermediate level Module One - Getting Started 00:30:00 Module Two - Creating a Custom App 01:00:00 Module Three - Customizing App Actions 01:00:00 Module Four - Customizing Your App Views with Macros 01:00:00 Module Five - Working with Validation Rules and Messages 01:00:00 Module Six - Working with Macros 01:00:00 Module Seven - Advanced Query Tasks 01:00:00 Module Eight - Designing Forms 01:00:00 Module Nine - Advanced Reporting Tasks 01:00:00 Module Ten - Advanced Database Tools 01:00:00 Module Eleven - Working with the Access Environment 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Microsoft Access Intermediate Level 00:00:00 Microsoft Access Advanced Level Module One - Getting Started 00:30:00 Module Two - Using App Views 01:00:00 Module Three - Customizing Apps, Part One 01:00:00 Module Four - Customizing Apps, Part Two 01:00:00 Module Five - Working with More Record Tasks 01:00:00 Module Six - Using Advanced Field Tasks 01:00:00 Module Seven - Working in Table Design View 01:00:00 Module Eight - Working with the Expression Builder 01:00:00 Module Nine - Working with External Data 01:00:00 Module Ten - Creating Queries 01:00:00 Module Eleven - Creating Forms and Reports 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities - Microsoft Access Advanced Level 00:00:00 Refer A Friend Refer A Friend 00:00:00 Mock Exam Mock Exam- Microsoft Access - Beginners, Intermediate, Advanced 00:30:00 Final Exam Final Exam- Microsoft Access - Beginners, Intermediate, Advanced 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

DASA DevOps Fundamentals: Virtual In-House Training The DASA DevOps Fundamentals™ certification provides the core education necessary to build your DevOps vocabulary and understand its principles and practices. It's the ideal starting point for DevOps journeys, whether you're already familiar with working with Agile and/or DevOps teams or not. Faster software deployment, increased deployment frequency, and higher change success rate are only some of the visible outcomes of practicing DevOps. Organizations such as Netflix, Spotify, and Facebook are transforming IT by successfully implementing DevOps principles. But you don't have to be big to be a DevOps leader. Companies large and small, young and old, have smoothly made the transition and have the proof of success in their pockets. This course will inspire you to serve as a change champion by sharing and using what you learned, and continue to learn, about DevOps to lead and mentor others. A solid understanding of DevOps Fundamentals has helped numerous professionals and organizations how to approach a DevOps journey, not only from a tool and automation perspective but also looking in-depth at the softer side of things. This course provides learners with an extensive introduction to the core Agile DevOps principles. It covers all 12 key knowledge and skill competencies defined by DASA to ensure you acquire a solid knowledge of DevOps concepts and terminology. Multiple cases or scenarios, group discussions, and examples are included in the course to enhance your learning experience. What you will Learn DASA DevOps Fundamentals-certified professionals are able to: Explain the drivers responsible for the emergence of DevOps. Define and discuss the key concepts and principles of DevOps. List and explain the business benefits of DevOps and continuous delivery. Know how teams can translate DevOps principles into tangible practices. Learn about modern operations in a DevOps context. Explain the concepts of test automation, infrastructure automation, and build and deployment automation. Describe how DevOps relates to Lean and Agile methodologies. Get insight into the various organizational DevOps models and architectures. Identify how Cloud and Delivery pipeline automation optimizes and accelerates the ways of working. Discuss the critical success factors for DevOps transformation. Introducing DASA DevOps Fundamentals DASA DevOps Fundamentals An Introduction Case Study - Easy Journey Airways Building the DevOps Context DevOps Evolution Business Benefits of DevOps DASA DevOps Principles Goals and Measurements Knowing DevOps for Individuals T-Shape Profiles DevOps Capabilities by DASA DASA DevOps Certifications Getting Acquainted with DevOps Culture and Behavior Embracing a DevOps Culture Core Elements of a DevOps Culture Implementation of a DevOps Culture Understanding the Value of DevOps for Teams and Organizations Organizational Models Team Autonomy DevOps at Scale Getting Familiar with DevOps Management Practices ITSM Lean Agile Getting Familiar with DevOps Technical Practices Architecture Modern Infrastructure and Cloud Operations Enabling DevOps Team Performance Through Continuous Delivery and Automation Software Delivery Automation Concepts Continuous Delivery Core Concepts Continuous Delivery Automation Concepts Continuous Delivery Automation Focus Topics Measuring the Performance - The Next Steps Analyze the Current Situation Improve Incrementally

Duration 5 Days 30 CPD hours This course is intended for IS Security Officers IS Managers Risk Managers Auditors Information Systems Owners IS Control Assessors System Managers Government Employees Overview The person who carries this certification should be able to acquire necessary resources, advise senior leadership, collaborate with stakeholders, evaluate effectiveness, identify cybersecurity problems, manage threats, oversee information security awareness programs, participate in risk assessments, support compliance activities, and define or implement policies and procedures to ensure protection of critical infrastructure within an information security environment. If you are looking for the ?gotta have it? cybersecurity course, then the Certified Information Systems Security Officer is for you.ÿ The C)ISSO will prepare you for multiple managerial roles inside the INFOSEC community by covering a broad range of topics. You will learn theories in security concepts, practices, monitoring and compliance in IS management. An Information Systems Security Officer is able to implement and maintain cost-effective security controls that are closely aligned with business and industry standards. The C)ISSO certification course is an idealÿway to increaseÿknowledge, expertise, and skill for managers, auditors, and INFOSEC professionals.ÿ At Mile2 we consider the C)ISSO to be one of our flagship courses.The things you learn in this course can be applied to management, prevention teams, and recovery professionals. Material learned in the Live Class or Self-Study options will apply directly to the certification exam. Course Outline Risk Management Security Management Identification and Authentication Access Control Security Models and Evaluation Operations Security Vulnerability Assessments Symmetric Cryptography and Hashing Network Connections Network Protocols and Devices Telephony, VPNs, and Wireless Security Architecture and Attacks Software Development Security Database Security Malware and Software Attacks Business Continuity Disaster Recovery Incident Management, Law, and Ethics Physical Security Additional course details: Nexus Humans C)ISSO - Certified Information Security Systems Officer Mile 2 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 C)ISSO - Certified Information Security Systems Officer Mile 2 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 Java programming step-by-step with 250 core features and 200+ code examples, perfect for absolute beginners. This hands-on course covers everything from basic concepts to advanced topics such as functional programming and exception handling using JShell and Eclipse as an IDE. Gain a solid foundation in Java and kickstart your programming career.

Regular expressions training course description Regular expressions are an extremely powerful tool for manipulating text and data. They are now standard features in a wide range of languages and popular tools, including Python and MySQL. Regular expressions allow you to code complex and subtle text processing that you never imagined could be automated. Once you've mastered regular expressions, they'll become an invaluable part of your toolkit. You will wonder how you ever got by without them. What will you learn Use Regular Expressions. Troubleshoot Regular Expressions. Compare RE features among different versions. Explain how the regular expression engine works. Optimize REs. Match what you want, not what you don't want. Regular expressions training course details Who will benefit: Anyone looking to use regular expressions. Prerequisites: None. Duration 1 day Regular expressions training course contents Introduction to Regular Expressions Solving real problems, REs as a language, the filename analogy, language analogy, RE frame of mind, searching text files: egrep, egrep metacharacters, start and end of the line, character classes, matching any character with dot, alternation, ignoring differences in capitalization, word boundaries, optional items, other quantifiers: repetition, parentheses and backreferences, the great escape, expanding the foundation, linguistic diversification, the goal of a RE, more examples, RE nomenclature, Improving on the status quo. Extended introductory examples A short introduction to Perl, matching text with regular expressions, toward a more real-world example, side effects of a successful match, Intertwined regular expression, intermission, modifying text with regular expressions, example: form letter, example: prettifying a stock price, automated editing, a small mail utility, adding commas to a number with lookaround, text-to-HTML conversion, that doubled-word thing. Regular expression features and flavours The regex landscape, origins of REs, care and handling of REs, Integrated handling, procedural and object-oriented handling, search-and-replace example. strings character encodings and modes, strings as REs, character-encoding issues, unicode, regex modes and match modes, common metacharacters and features, character representations, character classes and class-like constructs, anchors and other 'zero-width assertions', comments and mode modifiers, grouping capturing conditionals and control. The mechanics of expression processing Two kinds of engines, new standards, regex engine types, from the department of redundancy department, testing the engine type, match basics, about the examples, rule 1: the match that begins earliest wins, engine pieces and parts, rule 2: the standard quantifiers are greedy, regex-directed versus text-directed, NFA engine: regex-directed, DFA engine: text-directed, first thoughts: NFA and DFA in comparison, backtracking, two important points on backtracking, saved states, backtracking and greediness, more about greediness and backtracking, problems of greediness, multi-character 'quotes', lazy quantifiers, greediness and laziness, laziness and backtracking, possessive quantifiers and atomic grouping, possessive quantifiers ?, +, *+, ++ and {m,n}+, the backtracking of lookaround, is alternation greedy? taking advantage of ordered alternation, NFA DFA and posix, the longest-leftmost', posix and the longest-leftmost rule, speed and efficiency. Practical regex techniques Continuation lines, matching an IP address, working with filenames, matching balanced sets of parentheses, watching out for unwanted matches, matching delimited text, knowing your data and making assumptions, stripping leading and trailing whitespace, matching and HTML tag, matching an HTML link, examining an HTTP URL, validating a hostname, plucking a hostname, plucking a URL, parsing CSV files. Crafting an efficient expression Efficiency vs. correctness, localizing greediness, global view of backtracking, more work for POSIX NFA, work required during a non-match, being more specific, alternation can be expensive, benchmarking, know what you re measuring, benchmarking with Python, common optimisations, the mechanics of regex application, pre-application optimizations, optimizations with the transmission, optimization of the regex itself, techniques for faster expressions, common sense techniques, expose literal text, expose anchors, lazy versus greedy: be specific, split into multiple REs, mimic initial-character discrimination, use atomic grouping and possessive quantifiers, lead the engine to a match, unrolling the loop, observations, using atomic grouping and possessive quantifiers, short unrolling examples, unrolling C comments, the free flowing regex, a helping hand to guide the match, a well-guided regex is a fast regex.

DevOps demystified training course description This course is an introduction to DevOps. The course emphasizes communication, collaboration , integration, and automation to improve the workflow between developers and IT operations professionals. Improved workflows lead to more opportunities to design software and services in a more agile fashion. This course is a basis for discovering the most important DevOps concepts and to understand the principles and methods behind this. The course will leave you with the inspiration to be the advocate of change. What will you learn Explain DevOps principles. Describe the relationship between Agile , Lean and IT Service Management ( ITSM). Describe methods for automation and technology factors. Describe considerations when changing. Describe challenges, risks and critical success factors. DevOps demystifieds training course details Who will benefit: Non-technical staff involved with DevOps. Prerequisites: None. Duration 1 day DevOps demystified training course contents Why DevOps? From a business perspective From an IT perspective Stereotypes of Dev and Ops: perception and reality What is DevOps? Introduction DevOps Goals DevOps Added value of DevOps Proven Results DevOps for businesses DevOps principles (The Three Ways) DevOps and other frameworks DevOps and Agile DevOps and Lean DevOps and IT Service Management DevOps culture Characteristics of a DevOps culture Organizational Considerations DevOps DevOps stakeholders DevOps roles DevOps teams DevOps organizational structures DevOps methods Continuous Integration Continuous delivery Continuous deployment Value stream mapping Kanban Theory of Constraints Improvement Kata Deming's quality circle ITSM processes DevOps and Automation Methods for DevOps automation Longevity and tools categories DevOps applications Transitioning to a DevOps culture Implementation Challenges, risks and critical success factors Measuring DevOps successes

Duration 5 Days 30 CPD hours This course is intended for Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam. This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions. Prerequisites To be successful in this course, learners should have the following: Hands-on experience with Azure IaaS and PaaS solutions, and the Azure Portal. Experience writing in an Azure supported language at the intermediate level. (C#, JavaScript, Python, or Java) Ability to write code to connect and perform operations on, a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar) Experience writing code to handle authentication, authorization, and other security principles at the intermediate level. A general understanding of HTML, the HTTP protocol and REST API interfaces. 1 - Explore Azure App Service Examine Azure App Service Examine Azure App Service plans Deploy to App Service Explore authentication and authorization in App Service Discover App Service networking features 2 - Configure web app settings Configure application settings Configure general settings Configure path mappings Enable diagnostic logging Configure security certificates 3 - Scale apps in Azure App Service Examine autoscale factors Identify autoscale factors Enable autoscale in App Service Explore autoscale best practices 4 - Explore Azure App Service deployment slots Explore staging environments Examine slot swapping Swap deployment slots Route traffic in App Service 5 - Explore Azure Functions Discover Azure Functions Compare Azure Functions hosting options Scale Azure Functions 6 - Develop Azure Functions Explore Azure Functions development Create triggers and bindings Connect functions to Azure services 7 - Explore Azure Blob storage Explore Azure Blob storage Discover Azure Blob storage resource types Explore Azure Storage security features Discover static website hosting in Azure Storage 8 - Manage the Azure Blob storage lifecycle Explore the Azure Blob storage lifecycle Discover Blob storage lifecycle policies Implement Blob storage lifecycle policies Rehydrate blob data from the archive tier 9 - Work with Azure Blob storage Explore Azure Blob storage client library Create a client object Manage container properties and metadata by using .NET Set and retrieve properties and metadata for blob resources by using REST 10 - Explore Azure Cosmos DB Identify key benefits of Azure Cosmos DB Explore the resource hierarchy Explore consistency levels Choose the right consistency level Explore supported APIs Discover request units 11 - Work with Azure Cosmos DB Explore Microsoft .NET SDK v3 for Azure Cosmos DB Create stored procedures Create triggers and user-defined functions Explore change feed in Azure Cosmos DB 12 - Manage container images in Azure Container Registry Discover the Azure Container Registry Explore storage capabilities Build and manage containers with tasks Explore elements of a Dockerfile 13 - Run container images in Azure Container Instances Explore Azure Container Instances Run containerized tasks with restart policies Set environment variables in container instances Mount an Azure file share in Azure Container Instances 14 - Implement Azure Container Apps Explore Azure Container Apps Explore containers in Azure Container Apps Implement authentication and authorization in Azure Container Apps Manage revisions and secrets in Azure Container Apps Explore Dapr integration with Azure Container Apps 15 - Explore the Microsoft identity platform Explore the Microsoft identity platform Explore service principals Discover permissions and consent Discover conditional access 16 - Implement authentication by using the Microsoft Authentication Library Explore the Microsoft Authentication Library Initialize client applications 17 - Implement shared access signatures Discover shared access signatures Choose when to use shared access signatures Explore stored access policies 18 - Explore Microsoft Graph Discover Microsoft Graph Query Microsoft Graph by using REST Query Microsoft Graph by using SDKs Apply best practices to Microsoft Graph 19 - Implement Azure Key Vault Explore Azure Key Vault Discover Azure Key Vault best practices Authenticate to Azure Key Vault 20 - Implement managed identities Explore managed identities Discover the managed identities authentication flow Configure managed identities Acquire an access token 21 - Implement Azure App Configuration Explore the Azure App Configuration service Create paired keys and values Manage application features Secure app configuration data 22 - Explore API Management Discover the API Management service Explore API gateways Explore API Management policies Create advanced policies Secure APIs by using subscriptions Secure APIs by using certificates 23 - Explore Azure Event Grid Explore Azure Event Grid Discover event schemas Explore event delivery durability Control access to events Receive events by using webhooks Filter events 24 - Explore Azure Event Hubs Discover Azure Event Hubs Explore Event Hubs Capture Scale your processing application Control access to events Perform common operations with the Event Hubs client library 25 - Discover Azure message queues Choose a message queue solution Explore Azure Service Bus Discover Service Bus queues, topics, and subscriptions Explore Service Bus message payloads and serialization Explore Azure Queue Storage Create and manage Azure Queue Storage and messages by using .NET 26 - Monitor app performance Explore Application Insights Discover log-based metrics Instrument an app for monitoring Select an availability test Troubleshoot app performance by using Application Map 27 - Develop for Azure Cache for Redis Explore Azure Cache for Redis Configure Azure Cache for Redis Interact with Azure Cache for Redis by using .NET 28 - Develop for storage on CDNs Explore Azure Content Delivery Networks Control cache behavior on Azure Content Delivery Networks Interact with Azure Content Delivery Networks by using .NET

Duration 5 Days 30 CPD hours This course is intended for Microsoft Dynamics 365 Finance and Operations Apps Developers Overview By the end of this course, you will learn to develop fully realized solutions by using standardized application coding patterns. In this course, you will learn the tasks needed to fulfill the role of developer in Dynamics 365 Finance and Operations Apps. The Dynamics 365 for Finance and Operations (FO) developer is a key technical resource that implements and extends the application to meet the requirements of the business. Module 1: Overview & Architecturen Explore the ecosystem and main components Explore the technical architecture Explore design and deployment considerations Module 2: Developer Tools Manage implementations by using Lifecycle Services Manage source code by using version control Customize by using Visual Studio Module 3: Solution Design Implement application lifecycle management Module 4: AOT Elements Build extended data types and enumerations Build tables Build forms and optimize form performance Create classes Create other user interface elements Module 5: Code Development & Testing Explore the test framework and use tools Get started with development using X++ Develop object-oriented code Use RSAT tool Module 6: Data Migration Prepare data for migration Module 7: Frameworks Introduction Explore extensions and the extension framework Extend elements SysOperationSandbox framework Summary Module 8: Integration Identify data integration patterns and scenarios Implement data integration concepts and solutions Implement the data management package API Data integrations Integrate with Microsoft Azure Connecting to Power Platform services Consume business events Integrate Finance and Operations apps with Microsoft Dataverse Module 9: Reporting Explore the reporting tools Build reports Build workspaces Manage data sources with external data stores Module 10: Security & Performance Work with performance and monitoring tools Implement role-based security Apply basic performance optimization techniques Additional course details: Nexus Humans MB-500T00 Dynamics 365 - Finance and Operations Apps Developer 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 MB-500T00 Dynamics 365 - Finance and Operations Apps Developer 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.