2973 Design courses in Salford delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution

Overview This Private Banking & Wealth Management training course is designed to give you the skills to acquire, protect/preserve, enjoy and pass on wealth. As a result, it is specifically designed for those working in the industry as well as those with an interest in investments and markets.

This full day workshop is designed to follow on and build on the learning from the 1-hour webinar to provide an embedded learning experience leading to acceptance and change of culture around neurodiversity. We understand the pressure managers can experience working within a neurodiverse team, this training is designed with managers in mind.

Duration 5 Days 30 CPD hours This course is intended for Experienced VMware administrators, automation and orchestration specialists, system integrators, and private cloud and public cloud administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the features and benefits of integrating vRealize Orchestrator and vRealize Automation Describe the role of vRealize Orchestrator workflows and content elements in automation Use the vRealize Orchestrator client to access and navigate the vRealize Orchestrator platform Use the vRealize Orchestrator client to import and run vRealize Orchestrator library workflows Design, develop, and run custom reusable vRealize Orchestrator workflows Integrate vRealize Automation with vRealize Orchestrator to deliver custom IT services Use the vRealize Automation event broker service to trigger specific vRealize Orchestrator workflows or ABX Actions Leverage the event broker to extend IaaS (Infrastructure-as-a-Service) machine lifecycle processes Use XaaS to extend vRealize Automation into other enterprise systems Use VMware APIs to run vRealize Orchestrator workflows Use the vSphere Client Code Capture feature During this five-day course, you focus on using VMware vRealize© Orchestrator? to extend the functionality of VMware vRealize© Automation?. You learn how to provide XaaS (Anything as a Service) and implement Machine Lifecycle Extensibility using the VMware vRealize© Automation? Event Broker. You also learn how to create vRealize Orchestrator workflows and vRealize Automation ABX actions. You learn about various features, including basic scripting implementation along with logic processing to implement a variety of functions to use in your environment. This course teaches implementing debugging, loops, conditions, and user interactions in vRealize Orchestrator. The course introduces the new vRealize Orchestrator HTML 5 interface, along with API calls and REST functions, to give you the groundwork to implement a variety of plugins and scripts. This course is designed to give you the tools to craft custom solutions in the product. Course Introduction Introductions and course logistics Course objectives Overview of vRealize Automation and vRealize Orchestrator Define the purpose of vRealize Automation Outline the purpose of vRealize Orchestrator Describe the main components of vRealize Automation Describe the main components of vRealize Orchestrator Creating Schema Elements Invoking JavaScript from a vRealize Orchestrator workflow Invoking a vRealize Orchestrator Workflow from a vRealize Orchestrator workflow Invoking an action from a vRealize Orchestrator workflow Using vRealize Orchestrator workflows both synchronously and asynchronously Working with Variables Defining inputs, outputs, and variables in vRealize Orchestrator workflows Binding variables in vRealize Orchestrator workflows Wrapping vRealize Orchestrator workflows Using APIs and the API Explorer Creating actions in vRealize Orchestrator Using vRealize Orchestrator input forms Handling user interactions in vRealize Orchestrator Handling Exceptions, Logging, and Debugging Handling exceptions in vRealize Orchestrator workflows Using logs in vRealize Orchestrator workflows Debugging vRealize Orchestrator workflows Branching and Looping Using branching in vRealize Orchestrator workflows Using loops in vRealize Orchestrator workflows Working with Assets Using configuration elements in vRealize Orchestrator Using resources in vRealize Orchestrator Using packages in vRealize Orchestrator Working with Plug-Ins Downloading and installing Plug-Ins Using the SSH plug-In in vRealize Orchestrator Using the REST plug-in in vRealize Orchestrator Using the vRealize Automation plug-in in vRealize Orchestrator Using the PowerShell plug-in in vRealize Orchestrator Working with Versioning and Git Using versioning in vRealize Orchestrator Using Git in vRealize Orchestrator Scheduling, Sleeping, and Waiting Using scheduling in vRealize Orchestrator Using sleeping in vRealize Orchestrator Using waiting in vRealize Orchestrator Introduction to vRealize Automation Extensibility Introduction to extensibility Using ABX actions Using Python Using Nodejs Using PowerShell Using vRealize Automation Lifecycle Extending vRealize Automation with Event Broker Overview of vRealize Automation Event Broker Creating vRealize Automation subscriptions Data exchange between vRealize Automation and vRealize Orchestrator Using ABX Actions Overview of Action Based Extensibility (ABX) Comparison of vRealize Orchestrator and ABX Creating ABX Actions scripts, REST, and flows Using Day-2 Actions in vRealize Automation Describe the visualization capabilities of NSX Network Detection and Response Working with Services, Custom Resources, and Resource Actions Using vRealize Orchestrator as a content source in vRealize Automation Creating custom resources in vRealize Automation Creating resource actions in vRealize Automation Using Day-2 Actions in vRealize Automation Using vSphere Client Code Capture Enabling vSphere Client code capture Using vSphere Client code capture to capture code in vRO, Javascript, PowerCLI or other languages. Using the captured code in vRealize Orchestrator workflows or actions.

Duration 3 Days 18 CPD hours This course is intended for This introductory-level course is for experienced DBAs who will be working with MongoDB. In order to gain the most from this course you should have: Prior practical experience in Database Administration Experience working with Linux and be comfortable working with command line Overview This skills-focused course is approximately 50% hands-on. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will explore: The MongoDB Basic Architecture and Installation MongoDB administration User Management MongoDB security Indexes Backup & Recovery High Availability / Replication Diagnostics & Troubleshooting MongoDB is fast becoming the database of choice for big data applications, being one of the most popular and widely implemented NoSQL databases. Its scalability, robustness, and flexibility have made it extremely popular among business enterprises who use it to implement a variety of activities including social communications, analytics, content management, archiving and other activities. This has led to an increased demand for MongoDB administrators who have the skills to handle cross functional duties. Geared for experienced DBAs, MongoDB for DBAs is a three-day hands-on course that explores the concepts, architecture and pitfalls of managing a MongoDB installation. This course is targeted to the DBA who is familiar with the concepts and tasks of working with a Relational database and is not responsible for a NoSQL MongoDB database. You will learn the critical aspects of MongoDB and use it to solve data management challenges. You will learn to manage MongoDB effectively by gaining expertise in MongoDB administration tools, syntax, MongoDB installations, configurations, security, troubleshooting, backup, scaling and many other features. The focus of this course is on practical skills and applying the DBA existing database knowledge to a MongoDB installation. Introduction to MongoDB Basic Architecture and Installation Differentiate database categories Learn MongoDB design goals List MongoDB tools Describe JSON and BSON Understanding the basic concepts of a Database Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property CAP Theorem, implementing NoSQL and what is MongoDB? Graph Database Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools Understanding the following: Collection, Documents and Key/Values, etc., Introduction to JSON and BSON documents Environment setup (live Handson) and using various MongoDB tools available in the MongoDB Package MongoDB Administration Take database backup and restore MongoDB© Export and import data from/ to a MongoDB© instance Check server status and DB status Monitor various resource utilization of a mongod instance Understand various optimization strategies Administration concepts in MongoDB Monitoring issues related to Database Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB Database Profiling, Locks, Memory Usage, No of connections, page fault etc., Backup and Recovery Methods for MongoDB Export and Import of Data to and from MongoDB Run time configuration of MongoDB Production notes/ best practices Data Managements in MongoDB (Capped Collections/ Expired data from TTL), TTL Collection Features GridFS Memory-Mapped Files Journaling Mechanics Storage Engines Power of 2-Sized Allocations No Padding Allocation Strategy Diagnosing Performance Issues Optimization Strategies for MongoDB Configure Tag Sets for Replica Set. Optimize Query Performance Monitoring Strategies for MongoDB . MongoDB Utilities MongoDB Commands MongoDB Management Service (MMS) Data Backup Strategies in MongoDB Copying Underlying Data Files Backup with MongoDump Fsync and Lock MongoDB Ops Manager Backup Software Security Strategies in MongoDB Authentication Implementation in MongoDB . Authentication in a Replica set Authentication on Sharded Clusters Authorization End-to-End Auditing for Compliance User Management Create a User Administrator. Add a User to a Database. Create/Assign User a Role. Verify/Modify a User Access/Privileges. Change a User?s Password MongoDB Security Knowing security concepts in MongoDB Understand how Authentication and Authorisation works Security Introduction Security Concepts Indexes Index Introduction, Index Concepts, Index Types Index Properties Index Creation and Indexing Reference Introduction to Aggregation Aggregation Approach to Aggregation sort Order Pipeline Operators and Indexes Text Indexes Aggregate Pipeline Stages Text Search MapReduce Index Creation Aggregation Operations Index Creation on Replica Set Remove, Modify, and Rebuild Indexes Listing Indexes Measure Index Use Control Index Use Index Use Reporting Geospatial Indexes MongoDB?s Geospatial Query Operators GeoWith Operator Backup & Recovery Import and Export MongoDB Data Restore and recovery of MongoDB(Including point in time Recovery) Restore a Replica Set from MongoDB Backups Recover Data after an Unexpected Shutdown Backup and Restore with Filesystem Snapshots Back Up and Restore with MongoDB Tools Backup and Restore Sharded Clusters High Availability (Replication ) Understand the concept of Replication in MongoDB© ? Create a production like Replica Set Introduction to Replication (High Availability), Concepts around Replication What is Replica Set and Master Slave Replication? Type of Replication in MongoDB How to setup a replicated cluster & managing replica sets etc., Master-Slave Replication Replica Set in MongoDB Automatic Failover Replica Set Members Write Concern Write Concern Levels Write Concern for a Replica Set Modify Default Write Concern Read Preference Read Preference Modes Blocking for Replication Tag Set Configure Tag Sets for Replica set. Replica Set Deployment Strategies . Replica Set Deployment Patterns Oplog File Replication State and Local Database, Replication Administration Diagnostics & Troubleshooting Troubleshoot slow queries Diagnose connectivity problems Understand diagnostic tools Learn common production issues Learn fixes and solutions. Additional course details: Nexus Humans Introduction to MongoDB for DBAs (TTDB4680) 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 Introduction to MongoDB for DBAs (TTDB4680) 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.

Community services refers to a broad range of programs and services that help people in need, including aged care, disability, youth work, drug and alcohol services, employment programs and more.

Overview To achieve maximum effectiveness, managers and professionals must continually expand their business knowledge and sharpen their skills. This program is designed to achieve this goal in a time-efficient manner. Integration of Downstream Refining and Petrochemicals to achieve greater efficiencies is yet another critical factor in this business which will be covered in this course

Overview Budgeting is the core activity of financial management used to make organisations effective and efficient in service delivery. Organisations deliberately strengthen their acts of budgeting, as part of their financial management, in order to enhance their effectiveness. This course has been designed to educate participants on how to prepare and use budgets in their organisations.

Overview The development, monitoring, and continued improvement of a highly-integrated, internal audit function is essential for the continued financial success, stability, and growth of world-class business entities. A well-designed and effective internal audit system will provide verification and support that accounting and financial policies, procedures, and controls are working adequately and will spotlight any significant matters that need attention. 

Overview Financial Management, Budget Control and Budget Execution is a blended course with core activity of financial management used to make organisations effective and efficient in-service delivery. Organisations deliberately strengthen their acts of budgeting, as part of their financial management, in order to enhance their effectiveness. This course has been designed to educate participants on how to prepare and use budgets in their organisations. It provides the essential ingredients for achieving a sound budget preparation and execution system.