721 Software Development courses in Waltham Cross delivered Live Online

Duration 1 Days 6 CPD hours In this hands on workshop for Agile Scrum Masters, Release Train Engineers and anyone serving as Jira Administrators, Jira experts will lead you through advanced configuration and customization settings in Jira, from installation through to customized screens, workflows, filters and reports. Jira Administration Adding and managing Users Administering and managing Groups Global Jira Settings Jira layout and interface customization User authentication and security Jira Customization Customization of screens and fields Customization of workflows Project and Board Administration Configuring and managing Projects Configuring and managing Boards Creating and managing Filters JQL Jira Integration Integrating Jira with Atlassian Tools Retrospectives and Documentation in Confluence Code management with Bitbucket Integration management with Bamboo Building a Dashboard with gadgets Jira Plug-ins and Marketplace

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Architecture and course review Post course knowledge check Architecture review Course review

Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT Professionals who are already experienced in general Windows Server and Windows Client administration, and who want to learn more about using Windows PowerShell for administration. No prior experience with any version of Windows PowerShell, or any scripting language, is assumed. This course is also suitable for IT Professionals already experienced in server administration, including Exchange Server, SharePoint Server, SQL Server, System Center, and others. Overview After completing this course, students will be able to: Describe the functionality of Windows PowerShell and use it to run and find basic commands. Identify and run cmdlets for server administration. Work with Windows PowerShell pipeline. Describe the techniques Windows PowerShell pipeline uses. Use PSProviders and PSDrives to work with other forms of storage. Query system information by using WMI and CIM. Work with variables, arrays, and hash tables. Write basic scripts in Windows PowerShell. Write advanced scripts in Windows PowerShell. Administer remote computers. Use background jobs and scheduled jobs. Use advanced Windows PowerShell techniques. This course provides students with the fundamental knowledge and skills to use Windows PowerShell for administering and automating administration of Windows based servers. Getting Started with Windows PowerShell Overview and Background Understanding command syntax Finding commands Lab : Configuring Windows PowerShell Lab : Finding and Running Basic Commands Cmdlets for administration Active Directory administration cmdlets Network configuration cmdlets Other server administration cmdlets Lab : Windows Administration Working with the Windows PowerShell pipeline Understanding the Pipeline Selecting, Sorting, and Measuring Objects Filtering Objects Out of the Pipeline Enumerating Objects in the Pipeline Sending pipeline data as output Lab : Using the Pipeline Lab : Filtering Objects Lab : Enumerating Objects Lab : Sending output to a file Understanding How the Pipeline Works Passing the pipeline data Advanced considerations for pipeline data Lab : Working with Pipeline Parameter Binding Using PSProviders and PSDrives Using PSProviders Using PSDrives Lab : Using PSProviders and PSDrives Querying Management Information by Using WMI and CIM Understanding WMI and CIM Querying Data with WMI and CIM Making changes with WMI/CIM Lab : Working with WMI and CIM Working with variables, arrays, and hash tables Using variables Manipulating variables Manipulating arrays and hash tables Lab : Working with variables Basic scripting Introduction to scripting Scripting constructs Importing data from files Lab : Basic scripting Advanced scripting Accepting user input Overview of script documentation Troubleshooting and error handling Functions and modules Lab : Accepting data from users Lab : Implementing functions and modules Administering Remote Computers Using basic Windows PowerShell remoting Using advanced Windows PowerShell remoting techniques Using PSSessions Lab : Using basic remoting Lab : Using PSSessions Using Background Jobs and Scheduled Jobs Using Background Jobs Using Scheduled Jobs Lab : Using Background Jobs and Scheduled Jobs Using advanced Windows PowerShell techniques Creating profile scripts Using advanced techniques Lab : Practicing advanced techniques Lab : Practicing script development (optional)

Duration 5 Days 30 CPD hours This course is intended for This course is intended for IT Professionals who are already experienced in general Windows Server and Windows Client administration, and who want to learn more about using Windows PowerShell for administration. No prior experience with any version of Windows PowerShell, or any scripting language, is assumed. This course is also suitable for IT Professionals already experienced in server administration, including Exchange Server, SharePoint Server, SQL Server, System Center, and others. Overview After completing this course, students will be able to:Describe the functionality of Windows PowerShell and use it to run and find basic commands.Identify and run cmdlets for server administration.Work with Windows PowerShell pipeline.Describe the techniques Windows PowerShell pipeline uses.Use PSProviders and PSDrives to work with other forms of storage.Query system information by using WMI and CIM.Work with variables, arrays, and hash tables.Write basic scripts in Windows PowerShell.Write advanced scripts in Windows PowerShell.Administer remote computers.Use background jobs and scheduled jobs.Use advanced Windows PowerShell techniques. This course provides students with the fundamental knowledge and skills to use Windows PowerShell for administering and automating administration of Windows based servers. Getting Started with Windows PowerShell Overview and Background Understanding command syntax Finding commands Lab : Configuring Windows PowerShell Lab : Finding and Running Basic Commands Cmdlets for administration Active Directory administration cmdlets Network configuration cmdlets Other server administration cmdlets Lab : Windows Administration Working with the Windows PowerShell pipeline Understanding the Pipeline Selecting, Sorting, and Measuring Objects Filtering Objects Out of the Pipeline Enumerating Objects in the Pipeline Sending pipeline data as output Lab : Using the Pipeline Lab : Filtering Objects Lab : Enumerating Objects Lab : Sending output to a file Understanding How the Pipeline Works Passing the pipeline data Advanced considerations for pipeline data Lab : Working with Pipeline Parameter Binding Using PSProviders and PSDrives Using PSProviders Using PSDrives Lab : Using PSProviders and PSDrives Querying Management Information by Using WMI and CIM Understanding WMI and CIM Querying Data with WMI and CIM Making changes with WMI/CIM Lab : Working with WMI and CIM Working with variables, arrays, and hash tables Using variables Manipulating variables Manipulating arrays and hash tables Lab : Working with variables Basic scripting Introduction to scripting Scripting constructs Importing data from files Lab : Basic scripting Advanced scripting Accepting user input Overview of script documentation Troubleshooting and error handling Functions and modules Lab : Accepting data from users Lab : Implementing functions and modules Administering Remote Computers Using basic Windows PowerShell remoting Using advanced Windows PowerShell remoting techniques Using PSSessions Lab : Using basic remoting Lab : Using PSSessions Using Background Jobs and Scheduled Jobs Using Background Jobs Using Scheduled Jobs Lab : Using Background Jobs and Scheduled Jobs Using advanced Windows PowerShell techniques Creating profile scripts Using advanced techniques Lab : Practicing advanced techniques Lab : Practicing script development (optional)

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline 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 The Machine Learning Pipeline 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.

Duration 2 Days 12 CPD hours This course is intended for This course is intended for SQL Server administrators who work in a Windows network environment. At least one year of experience administering SQL Servers and using PowerShell is recommended. Overview After completing this course, students will be able to: •Install and Configure SQL Server and all its components using PowerShell •Manage day-to-day SQL Server Administration with PowerShell •Maintain the SQL Server environment using PowerShell scripting and programming options This course provides candidates with the knowledge and skills needed to use PowerShell for SQL Server administration. Students will learn how to manage day-to-day and scheduled maintenance tasks. Install and Configure SQL Server with PowerShell Install SQL Server Configure Database Settings Configure SQL Server Settings Configure SQL Server Policy-Based Management Lab 1: Configuring SQL Server with PowerShell Administering SQL Servers with PowerShell Managing Users and Roles Managing Database Performance Managing Database Availability Managing SQL Server Features Lab 1: Administering SQL Servers with PowerShell Maintaining SQL Server with PowerShell Managing Backups and Restores Maintaining Database Integrity and Performance Monitoring and Auditing Task Automation Generating Reports Lab 1: Maintaining SQL Servers with PowerShell

Duration 2 Days 12 CPD hours This course is intended for This course is intended for Business Leaders, including managers/supervisors in the following roles: Developer Architect Video Operator Overview In this course, you will learn to: Articulate the essential terms and concepts fundamental to video compression and distribution Describe the four fundamental stages of video streaming workflows: ingest, process, store and deliver Explain the importance of security in the AWS Cloud and how it is applied in video streaming workflows Analyze video streaming workflow diagrams using AWS services, based on simple to complex use cases Describe some of the key variables that influence workflow decisions Recognize how other AWS services for compliance, storage, and compute, interact with AWS Media Services in video streaming workflows and the functions they perform Describe strategies to test or prototype workflows to mitigate risk and cost impacts and optimize video streaming workflows Use the AWS Management Console to build and run simple video streaming workflows for live and video-on-demand content Recognize the automation and data analytics available for Media Services when used with AWS AI and explore media-specific use cases for these services Identify the next steps in exploring migration to the cloud for one or more Media Services This course covers the media and cloud fundamentals that will empower you to develop a cloud migration strategy for media workflows in support of business goals. The course covers important concepts related to video processing and delivery, the variables that can impact migration decisions, and real-world examples of hybrid and cloud use cases for AWS Media Services. It also introduces security, artificial intelligence, and analytics concepts to help you consider how AWS Media Services fit into your overall cloud strategy. Module 1: Important video concepts Video Metrics Video Compression Video Distribution Major Protocols Used in Video Streaming Module 2: Anatomy of streaming workflows Ingest Process Store Deliver Module 3: Using AWS services in media workflows video-on-demand (VOD) Introduction to AWS Media Services Security Variables Impacting Workflow Design VOD Simple Use Cases VOD Advanced Use Cases Lab 1: Build and run a simple video streaming workflow for VOD content Module 4: Using AWS services in media workflows live streaming Challenges of Live Streaming Live Streaming Simple Use Cases Live Streaming Advanced Use Cases Lab 2: Build and run a simple video streaming workflow for live content Module 5: Optimizing Workflows Cost Considerations Mitigating Risk Monitoring and Automation Exploring Migration Options Additional course details: Nexus Humans AWS Media Essentials for IT Business Decision Makers 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 AWS Media Essentials for IT Business Decision Makers 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 2 Days 12 CPD hours This course is intended for Cloud Architects, Security Experts, and Network Administrators requiring in depth knowledge on CloudGuard Network Security products. Overview Discuss AWS Platform Components and their relationship to Check Point CloudGuard Network Security. Explain how to maintain a secure, efficient, and stable cloud environment. Describe the components and constraints of a hub and spoke security environment. Describe the function of the Cloud Management Extension. Explain the purpose of identity and access controls and constraints in different cloud platforms. Explain the steps required to configure Identity and Access controls in AWS. Describe the purpose and function of the CloudGuard Controller, its processes, and how it is tied to the Identity Awareness feature. Explain how to design and configure Cloud Adaptive Policies. Discuss the purpose and function of Data Center Objects. Describe the function and advantages of Cloud Service Provider (CSP) automation templates for instance and resource deployments. Explain how CSP templates can be used for maintenance tasks in the cloud environment. Discuss Third-Party Automation tools, how they can simplify deployment and maintenance tasks, and the constraints associated with them. Discuss Scaling Solutions and Options for Cloud Environments. Explain the Scaling Options in AWS. Describe the workflow for configuring scaling solutions in AWS. Discuss how ClusterXL operates and what elements work together to permit traffic failover. Explain how ClusterXL functions differently in a Cloud Environment. Describe how clusters are created and function in AWS. Discuss the elements involved in Hybrid Data Center deployments, the advantages of them, and the constraints involved. Explain the nature of a 'Greenfield' deployment, the advantages of it, and the constraints involved. Describe the components and constraint involved in deploying a Disaster Recovery Site in the cloud. Discuss the steps required for troubleshooting automation in AWS. Explain the steps required for troubleshooting Scaling Solution issues in AWS. Describe the steps required for troubleshooting clusters in AWS. Learn advanced concepts and develop skills needed to design and administer CloudGuard Network Security Environments. Course Outline Create an SSH Key Pair. Create a VPC. Deploy an SMS. Connect to SmartConsole. Review the IAM Role. Configure the Cloud Management Extension. Configure the Access Control Policy. Create the AWS Data Center Object. Create Access Control Policy with a Data Center Object. Create the AWS VPC Spokes. Deploy the Web Servers into the Spoke VPCs. Create the AWS Auto Scale Deployment. Create the External and Internal Load Balancers. Create the VPC for the Auto Scale Deployment. Create the VPC Peers. Deploy the CloudGuard Cluster Template. Create the AWS VPN Gateway. Configure the Tunnel Interfaces. Configure the Static Routes. Configure the Network Objects. Configure the VPN Community. Configure the Security Policy. Test the Traffic. Troubleshoot the CloudGuard Controller. Debug the CloudGuard Controller. Debug the Cloud Management Extension Additional course details: Nexus Humans CNSE-AWS Check Point Network Security Expert for 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 CNSE-AWS Check Point Network Security Expert for 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.

Duration 5 Days 30 CPD hours This course is intended for This course is intended for: Solutions Architects who are new to designing and building cloud architectures Data Center Architects who are migrating from on-premises environment to cloud architectures Other IT/cloud roles who want to understand how to design and build cloud architectures Overview Make architectural decisions based on AWS architectural principles and best practices Use AWS services to make your infrastructure scalable, reliable, and highly available Use AWS Managed Services to enable greater flexibility and resiliency in an infrastructure Make an AWS-based infrastructure more efficient to increase performance and reduce costs Use the Well Architected Framework to improve architectures with AWS solutions This course combines Architecting on AWS and Advanced Architecting on AWS to offer a comprehensive, immersive course in cloud architecture. It covers all aspects of how to architect for the cloud over 5 days. You will learn how to design cloud architectures, starting small and working to large-scale enterprise level designs?and everything in between. Starting with the Well Architected Framework, you will be immersed in AWS services like compute, storage, database, networking, security, monitoring, automation, optimization, benefits of de-coupling applications and serverless, building for resilience, and understanding costs. Using hands-on labs, you will apply knowledge from lectures to gain skills. Course Outline The Well-Architected Framework Networking with AWS Core AWS concepts, knowledge, and services, including designing your environment and making your environment highly available Event-driven scaling Automation Decoupling Building for resilience Optimization Serverless designs Data security Advance networking topics Migration How to grow your architecture from small to extremely large Additional course details: Nexus Humans Architecting on AWS Accelerator 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 Accelerator 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 2 Days 12 CPD hours This course is intended for Solutions architects, Software engineers, Operations leads, and IT project managers. Overview Recognize the common business and technical drivers for migrating to the cloud Summarize the three phases of a migration and associated objectives, tasks, and stakeholders for each Describe AWS architecture, tools, and migration best practices Distinguish between the various cloud migration strategies and when each is most appropriate Determine an organization?s application migration readiness Discover a portfolio and gather data necessary for migration Plan and design an application migration strategy Perform and validate application migration to the cloud Optimize applications and operations after migrating to the cloud This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud. You will learn about various cloud migration strategies and how to apply each step of the migration process, including portfolio discovery, application migration planning and design, conducting a migration, and post-migration validation and application optimization. Hands-on labs reinforce learning, and each lab is designed to provide you with the understanding and foundation necessary to complete migration tasks in your organization. Prerequisites We recommend that attendees of this course have: Familiarity with enterprise IT infrastructure (hardware and software) Completed the AWS Technical Essentials or Architecting on AWS training 1 - What Is a Cloud Migration? Summarize the drivers and desired outcomes of a cloud migration Identify the elements of a successful migration journey Describe the three-phase AWS migration process 2 - Assessing Migration Readiness Summarize the activities and goals of the assess phase Evaluate tools for assessing your organization?s cloud readiness Describe Migration Readiness Assessments (MRAs) and their importance 3 - Preparing for a Migration and Understanding Related Workstreams Summarize the mobilize phase of the process Discuss the eight unique migration-related workstreams 4 - Discovering Landing Zones and Their Benefits Explain the function of a landing zone Discuss best practices for creating a custom landing zone Describe how you would use AWS Control Tower to create a landing zone 5 - Building a Landing Zone Summarize the process of building a landing zone Determine the best multi-account structure, governance policies, and connectivity plan for a landing zone 6 - Discovering the Portfolio and Understanding Migration Strategies Explain the activities of the detailed portfolio discovery workstream Describe how to assess an application?s migration readiness Summarize the seven migration strategies 7 - Understanding and Choosing Portfolio Discovery Tools Summarize the various discovery tools available Distinguish which tools are best to use based on scenario 8 - Planning and Designing a Migration Describe the planning and design process Summarize how to set up a migration factory Choose and finalize an application migration strategy 9 - Performing the Migration to AWS Explain the server migration process Discuss the various migration automation and governance tools available Evaluate server migration tools for compatibility with your environment 10 - Understanding Database and Data Migration Services Summarize the significance of database and data migration Discuss the various data migration tools available 11 - Understanding Additional Migration Support Options Discuss additional migration support options Summarize AWS Managed Services and AWS Marketplace Describe SAP on AWS and services offered for Windows 12 - Integrating, Validating, and Cutting Over Applications Discuss the process and benefits of integrating, validating, and cutting over applications 13 - Modernizing and Optimizing an Application Migration Identify post-migration opportunities for modernization and optimization Understand cost and security optimization processes Explore tools available to support these processes 14 - Understanding Operations Tools, Integration Testing, and Automation Summarize operations in the cloud Discuss four functions of operations and their domains Review operations automation and relevant support tools 15 - Migration Best Practices Course review and key takeaways Summarize and reinforce AWS best practices for migrating Additional course details: Nexus Humans Migrating to 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 Migrating to 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.