2939 Courses in Cardiff delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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 PL-300T00: Microsoft Power BI Data Analyst 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 Delegates attending this course must have successfully achieved the ITIL 4 Foundation Qualification; your certificate must be presented as documentary evidence to gain admission to this course. Ideally candidates should have at least two years professional experience working in IT Service Management. The ITIL 4 HVIT Qualification would most likely suit the following delegates: Individuals continuing of their journey in service management ITSM managers and aspiring ITSM managers IT managers and practitioners involved in digital services or working in digital transformation projects, working within or towards high velocity environments Existing ITIL qualification holders wishing to develop their knowledge The above list is a suggestion only. Delegates may take as few or as many Intermediate qualifications as they require, and to suit their needs. Overview This course has been created to help IT service management practitioners working in organizations that are becoming more digitally enabled. The practitioners are familiar with traditional IT service management concepts, and now want to be able to discuss ?digital? with more confidence, to develop practical competences, and to be valued contributors in the digital domain. They want to improve how they and their co-workers: Help get customers? jobs done ? helping customers become who they seek to become Keep raising the bar ? taking things to a significantly higher level Trust and are trusted ? as professional knowledge workers in a healthy workplace Accept ambiguity and uncertainty - not scared of not knowing an answer Commit to continual learning ? all as part of their daily work The scope of the course is the primary activities in the digital value chain. In other words, what the practitioner does and which resources they use across the lifecycle of digital products, in order to: Make the right digital investments Realize and deliver digital products and services quickly Provide digital products and services that are highly resilient to disruption Ensure that the service consumer realizes value from the digital products and services Assure conformance of activities with governance, risk and compliance requirements. Understand and know how to use the key principles and methods of Organizational Change Management to direction, planning and improvement Understand and know how to use the key principles and methods of measurement and reporting in directing, planning and improvement Understand and know how to direct, plan and improve value streams and practices ITIL 4 is a framework for quality IT service management (ITSM) through proven best practice, providing practical and flexible guidance to support your organization on its journey to digital transformation while empowering your IT teams to continue to play a crucial role in the wider business strategy. This course highlights the ways in which digital organizations and digital operating models function in high-velocity environments, including the use of working practices such as Agile and Lean, and technical practices and technologies such as Cloud, Automation, and Automatic Testing. This class includes an exam voucher. Prerequisites ITIL© 4 Foundation 1 - THE NATURE OF HIGH-VELOCITY IN A DIGITAL WORLD Overview of the key ITIL 4 high-velocity terminology Understand when the transformation to high velocity IT is desirable and feasible Understand the five objectives associated with digital products ? to achieve: Valuable investments ? strategically innovative and effective application of IT Fast development - quick realization and delivery of IT services and IT-related products Resilient operations - highly resilient IT services and IT-related products Co-created value - effective interaction between service provider and consumer Assured conformance - to governance, risk and compliance (GRC) requirements. 2 - ITIL OPERATING MODEL ? DIGITAL PRODUCT LIFECYCLE Understand how high velocity IT relates to: The four dimensions of service management The ITIL service value system The service value chain The digital product lifecycle 3 - FUNDAMENTAL CONCEPTS FOR DELIVERING HVIT Understand the following concepts: Ethics Safety culture Toyota Kata Lean / Agile / Resilient / Continuous Service-dominant logic Design thinking Complexity thinking Use the principles, models and concepts to contribute to: Help get customers? jobs done Trust and be trusted Commit to performance Deal with uncertainty Improve by being inquisitive 4 - ACHIEVING VALUE WITH DIGITAL PRODUCTS Know how the service provider ensures valuable investments are achieved. Know how to use the following practices to contribute to achieving valuable investments: Portfolio management Relationship management Know how the service provider ensures fast deployment is achieved Know how to use the following practices to contribute to achieving fast deployment: Architecture management Business analysis Deployment management Service validation and testing Software development and management Know how the service provider ensures resilient operations are achieved Know how to use the following practices to contribute to achieving resilient operations: Availability management Capacity and performance management Monitoring and event management Problem management Service continuity management Infrastructure and platform management Know how the service provider ensures co-created value is achieved Know how to use the following practices to contribute to achieving co-created value with the service consumer: Relationship management Service design Service desk Know how the service provider ensures assured conformance is achieved Know how to use the following practices to contribute to achieving assured conformance: Information security management Risk management

Jamf Training, Jamf 300 course,

Managing Successful Programmes (MSP®) 5th Edition Practitioner: In-House Training Managing Successful Programmes (MSP®) is a globally-recognized framework for best practice programme management. MSP certification provides guidance for programme managers, business change managers, and the next step for project managers to develop their knowledge and skills to be able to positively respond to the challenges of managing programmes and larger, more strategic, or multiple projects. MSP 5th Edition emphasizes flexibility, adaptability, and responsiveness by adopting an incremental approach to the programme lifecycle and thus enabling organizational agility. AXELOS offers two levels of MSP Examination: MSP Foundation and MSP Practitioner. The MSP 5th Edition Foundation Examination is intended to assess whether the candidate can demonstrate sufficient recall and understanding of the MSP programme management framework. MSP 5th Edition Practitioner is for project, programme, and business change managers that want to build on their knowledge of MSP in order to practically apply the MSP framework to real-life scenarios, providing the skills to lead and manage a programme. It is a must-have certification for both project and programme management professionals to deliver organizational value to their employers and boost their careers. What you will Learn At the end of this course, participants will be able to: Understand how to apply the MSP principles in context Understand how to apply and tailor relevant aspects of the MSP themes in context Understand how to apply and tailor relevant aspects of the MSP processes in context Course Introduction Application of MSP Principles Program Strategy and Themes Application of Organization Theme Application of Design Theme Application of Justification Theme Application of Structure Theme Application of Knowledge Theme Application of Assurance Theme Application of Decisions Theme Application of MSP Processes

Level 4 Endorsed Diploma - International Trade Qualification Complete all 15 modules and 3 assessments, from a choice of 7 to earn a Level 4 Diploma in International Trade.

About this Training Course Time is money in the oil business. Drilling time is big money. Whether in a technical, managerial or supporting role, you are a valuable asset to ensuring that project delivery targets are met and profits are realised. As drilling activities continue, professionals like you must grasp the language and technology of drilling operations in order to maximise expenditures throughout the producing life of a well. Drilling equipment and procedures have a unique language that must be conquered for maximum benefit. Clear and understandable explanations of drilling rig equipment, procedures, and their complex interactions provide an excellent foundation for smooth communication and increased efficiency in inter-department project team efforts. Drilling Essentials will help you de-mystify activities around the rig and well planning. It will explain the fundamentals of drilling with an emphasis on key areas such as logistical considerations, costing, and analysis of drilling contracts. Understand the urgency of drilling requests, know more about the cost implications of drilling-related problems, and understand the risks involved in a drilling contract. With the course director's drilling knowledge and skills, this is your opportunity to explore and understand important drilling concepts, principles, and technology which are presented in a reader-friendly format and illustrated with examples. As a non-drilling professional, you too can grow with the drilling industry with a deeper understanding of the critical role you play in contributing to its success! Training Objectives By attending this industry fundamentals Virtual Instructor Led Training (VILT) course, you will be better able to: Understand drilling terminology & drilling processes for completing onshore & offshore wells Appreciate major cost components of drilling operations and its impact for better project planning and management Better visualise major drilling equipment and their technical functions to promote a deeper understanding of the logistical and technical considerations Gain valuable insights on the drilling industry with a synopsis of recent technology developments that impact the drilling process Target Audience This Virtual Instructor Led Training (VILT) course has been developed for new engineers and forward-looking executives in the following fields who are interested in enhancing their knowledge and awareness of the drilling process for increased productivity & contribution to the team they're supporting: Accounting Commercial Finance & Administration General Management Logistics Procurement Tender Contract Administration E & P IT Finance Joint Ventures Materials Planning Sourcing Training Business Development Estimation & Proposal HSE Legal Planning & Budgeting Supply Chain Drilling Fluids Organisational Impact Your expert course leader has over 45 years of experience in the Oil & Gas industry. During that time, he has worked exclusively in the well engineering domain. After being employed in 1974 by Shell, one of the major oil & gas producing operators, he worked as an apprentice on drilling rigs in the Netherlands. After a year, he was sent for his first international assignment to the Sultanate of Oman where he climbed up the career ladder from Assistant Driller, to Driller, to wellsite Petroleum Engineer and eventually on-site Drilling Supervisor, actively engaged in the drilling of development and exploration wells in almost every corner of this vast desert area. At that time, drilling techniques were fairly basic and safety was just a buzz word, but such a situation propels learning and the fruits of 'doing-the-basics' are still reaped today when standing in front of a class. After some seven years in the Middle East, a series of other international assignments followed in places like the United Kingdom, Indonesia, Turkey, Denmark, China, Malaysia, and Russia. Apart from on-site drilling supervisory jobs on various types of drilling rigs (such as helicopter rigs) and working environments (such as jungle and artic), he was also assigned to research, to projects and to the company's learning centre. In research, he was responsible for promoting directional drilling and surveying and advised on the first horizontal wells being drilled, in projects, he was responsible for a high pressure drilling campaign in Nigeria while in the learning centre, he looked after the development of new engineers joining the company after graduating from university. He was also involved in international well control certification and served as chairman for a period of three years. In the last years of his active career, he worked again in China as a staff development manager, a position he nurtured because he was able to pass on his knowledge to a vast number of new employees once again. After retiring in 2015, he has delivered well engineering related courses in Australia, Indonesia, Brunei, Malaysia, China, South Korea, Thailand, India, Dubai, Qatar, Kuwait, The Netherlands, and the United States. The training he provides includes well control to obtain certification in drilling and well intervention, extended reach drilling, high pressure-high temperature drilling, stuck pipe prevention and a number of other ad-hoc courses. He thoroughly enjoys training and is keen to continue taking classes as an instructor for some time to come. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

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

PgMP® Exam Prep: In-House Training This course is designed and developed by PgMP® certified consultants and instructors. Its aim is to prepare professionals who are familiar with the principles of program management for the Program Management Professional (PgMP)® Examination. The course is based on PMI's The Standard for Program Management, A Guide to the Project Management Body of Knowledge (PMBOK® Guide), and PMI's Program Management Professional (PgMP)® Examination Content Outline (current versions). Through this learning experience, you will explore: Program management from a PMI standard perspective, including the interdependencies between the five performance domains, the three program phases, and the ten supporting activities in this new and improved program management standard The difference between the five performance domains in the new program management standard and the five practice domains in the examination content outline The role and competencies of the program manager The difference between project managers and program managers - and their relationship in a program environment The difference between program managers and portfolio managers - and their relationship in a program environment How program managers align and manage benefits The best ways to engage and involve program stakeholder groups How to establish governance across the program life cycle What You Will Learn At the end of this course, you will be able to: Differentiate between the practice domains in the PMI PgMP® Examination Content Outline and the performance domains in The Standard for Program Management - Fourth Edition Name and describe the three phases in the program management life-cycle phases Describe the mapping of the life-cycle phases with the supporting program activities Identify the key outputs of the supporting program activities Articulate the interrelationships between the program management supporting processes and the mapping of processes to Knowledge Areas and Process Groups in the PMBOK® Guide - Sixth Edition Apply program management knowledge to answer foundation and scenario-based questions Summarize the process and eligibility criteria for earning the PgMP® credential Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Programs, projects, and portfolio definitions differences, and how they relate The definition of a component and how it relates to a program Representative program management life cycle Role of the program manager and the program office The difference between the program management practice and performance domains Program Register and Knowledge Asset Management Program registers, and how they are used to manage knowledge assets Knowledge asset management, beginning with the data, information, knowledge, and wisdom (DIKW) Model Knowledge assets and relationship to the performance domains The program manager as a knowledge asset manager Types of Programs Perspectives on programs to establish the 'right' perspective Categories of programs based on the program standard Scenario-based questions Program and Organization Strategy Alignment An overview of the Program Strategy Alignment performance domain Exploration of the elements of strategic alignment, i.e., the business case, program charter, and program roadmap Exploration of organization maturity and strategic alignment Scenario-based questions that reference both the Program Strategy Alignment performance domain and the Strategic Program Management practice domain Program Benefits An overview of the Program Benefits Management performance domain Exploration of each benefits management interaction with the representative program management life cycle: Benefits IdentificationBenefits Analysis and PlanningBenefits DeliveryBenefits TransitionBenefits SustainmentScenario-based questions that reference both the Program BenefitsManagement performance domain and the Benefits Management practice domain Program Stakeholder Engagement An overview of the Program Stakeholder Engagement performance domain Exploration of each stakeholder engagement performance domain activity: Program Stakeholder IdentificationProgram Stakeholder AnalysisProgram Stakeholder Engagement PlanningProgram Stakeholder EngagementProgram Stakeholder CommunicationsScenario-based questions that reference both the Program StakeholderEngagement performance domain and the Stakeholder Management practice domain Program Governance An overview of the Program Governance performance domain Exploration of each program governance performance domain activity: Program governance practicesProgram governance roles and responsibilitiesProgram governance design and implementationGovernance relationship within programsScenario-based questions that reference both the Program Governance performance domain and the Governance practice domain Program Life Cycle Management An overview of the Program Life Cycle Management performance domain Exploration of the three phases in the representative program life cycle: Program DefinitionProgram DeliveryProgram ClosureExploration of the interaction between program activities and integration managementScenario-based questions that reference both the Program Life CycleManagement performance domain and the Program Life Cycle practice domain Program Management Supporting Activities - Part 1 An overview of the program management supporting activities Exploration of 5 of 10 supporting activities: Program change managementProgram communications managementProgram financial managementProgram information managementProgram procurement managementScenario-based question(s) presented after each supporting activity Program Management Supporting Activities - Part 2 Exploration of the remaining 6 of 10 supporting activities: Program quality managementProgram resource managementProgram risk managementProgram schedule managementProgram scope managementScenario-based question(s) presented after each supporting activity Program Management Professional (PgMP®) Examination Application process and timeline General and special eligibility criteria International Institute's Online Learning Tool - access to sample examination questions Program Management Professional (PgMP®) Examination breakdown of domains and subdomains Terms and conditions of the exam PgMP® Professional Code of Conduct

A one day course exploring how we can support young people and adults with learning disabilities to masturbate appropriately and effectively if they so choose. We receive numerous requests for support and guidance on this issue from practitioners working with people with learning disabilities. We have developed this unique and practical training course for professionals. Mel Gadd, the lead trainer, is author of 'Masturbation, Autism and Learning Disabilities. A Practical Guide for Parents and Professionals'. By the end of the training participants will have: Knowledge of the current law and good practice responses surrounding intimate self-touch and masturbation Explored a range of attitudes and values around masturbation Knowledge of how to respond when clients want to masturbate both publicly and privately Explored ways in which they can support clients to masturbate appropriately and effectively Explored resources re masturbation that can support work with people who have learning disabilities Quotes from previous course participants: The Trainers provided a very comfortable way of learning around a sensitive subject that people find very difficult to talk about normally Excellent training - really pleased I attended A very useful course for those working with sexualised behaviour or Learning Disability The training will be delivered online via Zoom. If you book on this training it is your responsibility to ensure you can use the Zoom platform. We can invoice you if you prefer, if so please contact us directly to book : mel@sexeducationcompany.org

Duration 3 Days 18 CPD hours This course is intended for This course is intended for solutions architects, solution-design engineers, developers seeking an understanding of AWS architecting and individuals seeking the AWS Solutions Architect-Associate certification. Overview Identify AWS architecting basic practices. Explore using the AWS management tools: The AWS Console, Command Line Interface (CLI), and CloudFormation in a lab environment. Examine the enforcement of accounts security using policies. Identify the elements that build an elastic, secure, virtual network that includes private and public subnets. Practice building an AWS core networking infrastructure. Determine strategies for a layered security approach to Virtual Private Cloud (VPC) subnets. Identify strategies to select the appropriate compute resources based on business use-cases. Practice building a VPC and adding an Elastic Cloud Compute (EC2) instance in a lab environment. Practice installing an Amazon Relational Database Service (RDS) instance and an Application Load Balancer (ALB) in the VPC you created. Compare and contrast AWS storage products and services, based on business scenarios. Compare and contrast the different types of AWS database services based on business needs. Practice building a highly available, auto-scaling database layer in a lab. Explore the business value of AWS monitoring solutions. Identify the role of monitoring, event driven load balancing, and auto scaling responses, based on usage and needs. Identify and discuss AWS automation tools that will help you build, maintain and evolve your infrastructure. Discuss network peering, VPC endpoints, gateway and routing solutions based on use-cases. Discuss hybrid networking configurations to extend and secure your infrastructure. Discuss the benefits of microservices as an effective decoupling strategy to power highly available applications at scale. Explore AWS container services for the rapid implementation of an infrastructure-agnostic, portable application environment. Identify the business and security benefits of AWS serverless services based on business examples. Practice building a serverless infrastructure in a lab environment. Discuss the ways in which AWS edge services address latency and security. Practice building a CloudFront deployment with an S3 backend in a lab environment. Explore AWS backup, recovery solutions, and best practices to ensure resiliency and business continuity. Build a highly available and secure cloud architecture based on a business problem, in a project-based facilitator-guided lab. Architecting on AWS is for solutions architects, solution-design engineers, and developers seeking an understanding of AWS architecting. In this course, you will learn to identify services and features to build resilient, secure and highly available IT solutions on the AWS Cloud. Architectural solutions differ depending on industry, types of applications, and business size. AWS Authorized Instructors emphasize best practices using the AWS Well-Architected Framework, and guide you through the process of designing optimal IT solutions, based on real-life scenarios. The modules focus on account security, networking, compute, storage, databases, monitoring, automation, containers, serverless architecture, edge services, and backup and recovery. At the end of the course, you will practice building a solution and apply what you have learned with confidence. Prerequisites AWS Cloud Practitioner Essentials classroom or digital training, or Working knowledge of distributed systems Familiarity with general networking concepts Familiarity with IP addressing Working knowledge of multi-tier architectures Familiarity with cloud computing concepts 0 - Introductions & Course Map review Welcome and course outcomes 1 - Architecting Fundamentals Review AWS Services and Infrastructure Infrastructure Models AWS API Tools Securing your infrastructure The Well-Architected Framework Hands-on lab: Explore Using the AWS API Tools to Deploy an EC2 Instance 2 - Account Security Security Principals Identity and Resource-Based Policies Account Federation Introduction to Managing Multiple Accounts 3 - Networking, Part 1 IP Addressing Amazon Virtual Private Cloud (VPC), Patterns and Quotas Routing Internet Access Network Access Control Lists (NACLs) Security Groups 4 - Compute Amazon Elastic Cloud Compute (EC2) EC2 Instances and Instance Selection High Performance Computing on AWS Lambda and EC2, When to Use Which Hands-On Lab: Build Your Amazon VPC Infrastructure 5 - Storage Amazon S3, Security, Versioning and Storage Classes Shared File Systems Data Migration Tools 6 - Database Services AWS Database Solutions Amazon Relational Database Services (RDS) DynamoDB, Features and Use Cases Redshift, Features, Use Cases and Comparison with RDS Caching and Migrating Data Hands-on Lab: Create a Database Layer in Your Amazon VPC Infrastructure 7 - Monitoring and Scaling Monitoring: CloudWatch, CloudTrail, and VPC Flow Logs Invoking Events 8 - Automation CloudFormation AWS Systems Manager 9 - Containers Microservices Monitoring Microservices with X-Ray Containers 10 - Networking Part 2 VPC Peering & Endpoints Transit Gateway Hybrid Networking Route 53 11 - Serverless Architecture Amazon API Gateway Amazon SQS, Amazon SNS Amazon Kinesis Data Streams & Kinesis Firehose Step Functions Hands-on Lab: Build a Serverless Architecture 12 - Edge Services Edge Fundamentals Amazon CloudFront AWS Global Accelerator AWS Web Application Firewall (WAF), DDoS and Firewall Manager AWS Outposts Hands-On Lab: Configure an Amazon CloudFront Distribution with an Amazon S3 Origin 13 - Backup and Recovery Planning for Disaster Recovery AWS Backup Recovery Strategie Additional course details: Nexus Humans Architecting on AWS 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 Architecting on AWS 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.