3046 Software Development courses

Duration 4 Days 24 CPD hours This course is intended for This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes. Overview Recommend solutions to minimize costs Recommend a solution for Conditional Access, including multi-factor authentication Recommend a solution for a hybrid identity including Azure AD Connect and Azure AD Connect Recommend a solution for using Azure Policy Recommend a solution that includes KeyVault Recommend a solution that includes Azure AD Managed Identities Recommend a storage access solution Design an Azure Site Recovery solution Recommend a solution for autoscaling Recommend a solution for containers Recommend a solution for network security Recommend a solution for migrating applications and VMs Recommend a solution for migration of databases This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include design considerations related to logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role requires decisions in multiple areas that affect an overall design solution. Design a Compute Solution Recommend a Solution for Compute Provisioning Determine Appropriate Compute Technologies Recommend a Solution for Containers Recommend a Solution for Automating Compute Management Design a Network Solution Recommend a Solution for Network Addressing and Name Resolution Recommend a Solution for Network Provisioning Recommend a Solution for Network Security Recommend a Solution for iInternete Connectivity and On-Premises Networks Recommend a Solution for Automating Network Management Recommend a Solution for Load Balancing and Rraffic Routing Design for Migration Assess and On-Premises Servers and Applications for Migration Recommend a Solution for Migrating Applications and VMs Recommend a Solution for Migration of Databases Design Authentication and Authorization Tips for Identity and Access Management Recommend a Solution for Multi-Factor Authentication Five Steps for Securing Identity Infrastructure Recommend a Solution for Single-Sign On (SSO) Recommend a Solution for a Hybrid Identity Recommend a Solution for B2B Integration Recommend a Hierarchical Structure for Management Groups Design Governance Recommend a Solution for using Azure Policy Recommend a Solution for using Azure Blueprint Design a Solution for Databases Select an Appropriate Data Platform Based on Requirements Overview of Azure Data Storage Recommend Database Service Tier Sizing Dynamically Scale Azure SQL Database and Azure SQL Managed Instances Recommend a Solution for Encrypting Data at Rest, Transmission, and In Use Select an Appropriate Storage Account Understanding Storage Tiers Recommend a Storage Access Solution Recommend Storage Management Tools Design Data Integration Recommend a Data Flow Recommend a Solution for Data Integration Design a Solution for Logging and Monitoring Azure Monitoring Services Azure Monitor Design a Solution for Backup and Recovery Recommend a Recovery Solution for Hybrid and On-Premises Workloads Design and Azure Site Recovery Solution Recommend a Solution for Recovery in Different Regions Recommend a Solution for Azure Backup Management Design a Solution for Data Archiving and Retention Design for High Availability Recommend a Solution for Application and Workload Redundancy Recommend a Solution for Autoscaling Identify Resources that Require High Availability Identify Storage Tpes for High Availability Recommend a Solution for Geo-Redundancy of Workloads Design for Cost Optimization Recommend Solutions for Cost Management Recommended Viewpoints for Minimizing Costs Design an Application Architecture Recommend a Microservices Architecture Recommend an Orchestration Solution for Deployment of Applications Recommend a Solution for API Integration Design Security for Applications Security for Applications and Services Recommend a Solution using Key Vault Recommend Solutions using Azure AD Managed Identities

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: System installers System integrators System administrators Network administrators Solutions designers Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe the system architecture of Cisco WAN Automation Engine and Cisco WAE network abstraction Plan and deploy Cisco WAE Planning components, including Collector, WAE Design, and WAE Live Plan and deploy Cisco WAE Automation and explain the basics of Cisco WAE APIs Explain how to deploy changes to the network using Cisco WAE and XR Traffic Controller (XTC) Explain how to use the Cisco WAE Design application to solve problems and achieve business goals WAE200, Operating and Implementing Cisco WAN Automation Engine v3.0 is a 5-day course that gives you the basic knowledge necessary to plan, deploy, configure, and maintain the Cisco© WAN Automation Engine (WAE) solution. Extensive hands-on labs help you gain the necessary skills to install and maintain Cisco WAE systems.This course will help you:Learn to install Cisco WAN Automation EngineGain confidence with WAE configuration and basic troubleshootingPractice designing and managing bandwidth and traffic engineering WAE Solution and Architecture Overview Examining WAE Examining WAE Architecture and Design Examining WAE Applications and Use Cases WAE Solution Implementation Planning a WAE Deployment Deploying WAE Describing WAE Integration Options Network Model Configuration Describing the Collection Process Describing Network Interface Modules Creating Network Models Configuring WAE Modeling Daemon WAE Automation Bandwidth Applications Deploying Bandwidth on Demand Application Deploying Bandwidth Optimization Application WAE Design Fundamentals Getting Started with WAE Design Describing Demands and Traffic Tools Modeling Interior Gateway Protocol (IGP) and BGP Describing Failures and Simulation Analysis WAE Design Traffic Engineering and Optimization Engineering Traffic by Using Metrics Engineering Traffic by Using Resource Reservation Protocol with Traffic Engineering (RSVP-TE) Engineering Traffic by Using Segment Routing-Traffic Engineering (SR-TE) Engineering Traffic by Using Latency Constraints Modeling Quality of Service (QoS) Introduction to WAE API Introducing WAE Design Remote Procedure Call (RPC) API Introducing WAE Optimization and Prediction Module (OPM) API Introducing WAE Server Representational State Transfer Configuration Protocol (RESTCONF) and Network Configuration Protocol (NETCONF) APIs WAE Live Deployment Describing the Components of WAE Live Configuring WAE Live Explaining WAE Live Features Maintenance and Troubleshooting Maintaining WAE Troubleshooting WAE Additional course details: Nexus Humans Cisco Operating and Implementing Cisco WAN Automation Engine (WAE200) 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 Cisco Operating and Implementing Cisco WAN Automation Engine (WAE200) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: System Installers System Integrators System Administrators Network Administrators Solutions Designers Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe the Cisco IOS XR 64-Bit software architecture and Linux system fundamentals Describe the major differences between classic Cisco IOS XR software and Cisco IOS XR 64-Bit software on the ASR 9000 Series routers Migrate an ASR 9000 Series router from classic IOS XR software to Cisco IOS XR 64-Bit software Perform and explain Cisco IOS XR 64-Bit software installations Configure and describe Cisco IOS XR 64-Bit software features The Cisco ASR 9000 Series IOS XR 64-Bit Software Migration and Operational Enhancements (IOSXR211) course covers the migration from classic 32-bit Cisco IOS© XR software to Cisco IOS XR 64-Bit software on the Cisco© ASR 9000 Series Aggregation Services Routers. This course will also examine the software architecture, boot process, and auto-provisioning of the Cisco IOS XR 64-bit software, as well as showing you how to install Cisco IOS XR and third-party software packages. In addition, it will investigate data models and show you how to implement telemetry, model-driven programmability, and application hosting services. Software Architecture and Linux Fundamentals Cisco IOS XR 64-Bit Software Fundamentals Cisco ASR 9000 Series IOS XR 64-Bit Software vs. Classic 32-Bit Software Exploring Linux Fundamentals Creating User Profiles Cisco IOS XR 64-Bit Software Installation Examining Resource Allocations and Media Mappings Migrating to Cisco IOS XR 64-Bit Software Examining the Boot Process Performing Disaster Recovery Installing Software Packages Cisco IOS XR 64-Bit Software Features Investigating Data Models Implementing Telemetry Exploring Model-Driven Programmability Employing Application Hosting Additional course details: Nexus Humans Cisco ASR9000 Series 64-bit Software Migration (IOSXR211) 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 Cisco ASR9000 Series 64-bit Software Migration (IOSXR211) 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.

Lab Technician with Food Microbiology Diploma Master the essentials of medical and food microbiology as a Lab Technician. Elevate your analytical skills with state-of-the-art microscope techniques. Achieve excellence in healthcare and food safety with our comprehensive Lab Technician with Food Microbiology Diploma. Learning Outcomes: Operate medical laboratory equipment as a Lab Technician. Utilize microscope techniques in Lab Technician tasks. Analyze hematological samples proficiently as a Lab Technician. Conduct clinical chemistry assays in a Lab Technician role. Investigate food spoilage mechanisms as a specialized Lab Technician. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from Lab Technician with Food Microbiology Diploma: Medical Laboratory Services Execute precise medical tests, reinforcing your expertise as a Lab Technician in healthcare settings. Microscope and How to Use It Master microscope operations to excel in your role as a Lab Technician across multiple fields. Haematology Perform thorough hematological assessments, cementing your standing as a proficient Lab Technician. Clinical Chemistry Conduct detailed clinical chemistry tests to facilitate medical diagnostics as a skilled Lab Technician. Food Spoilage and Preservation Explore mechanisms of food spoilage and apply effective preservation methods as a Lab Technician. Probiotic Foods and Gut Health Analyze probiotic foods and their impact on gut health, broadening your capabilities as a Lab Technician in food microbiology.

This course aims to teach you how to employ NLP for self-improvement by examining exclusive tactics and implementing them to meet one’s goals.

Java Evenings Course. Basic Java syntax and principles of object-oriented programming. Our Style: Hands-on, Practical Course, Instructor-led Course. Level: From basics to fully functional. Who would benefit from the course: basics to Java, attend after work. Duration: one lesson of 2 hours per week for 6 weeks, from 6pm to 8pm.

Duration: 1 Day Who would find this course useful? C++ coders. This course covers C++ programming principals and the syntax of all generally used C++ statements. Level: From beginners. For classroom courses: Bring your own device.

This course is a beginners programmers course, to intermediate level, starting from basics through to creating methods, classes and objects. At the end of this course, one would be conversant with all the necessary basics of Java. This is a one day course in classroom, in Manchester.

Artificial Intelligence (AI) is the most disruptive technology since the internet came onto the scene. AI is transforming every aspect of how we manage projects from developing a business case, to planning the work, managing risk, and tracking performance. Because the technology and market are moving so fast, it can be difficult to know how to start using AI on projects. Generative AI for Project Management will engage you with diverse Generative AI tools to start, plan, and manage either your own project or a generic case study. We will embrace a tool agnostic approach to adopting, integrating, and scaling Generative AI without compromising data or trust. You will have hands-on practice utilizing AI tools to optimize your time and your outcomes. You will be accessing a variety of AI tools requiring you to register for a free account. A computer is required for all traditional classroom deliveries. None At the end of this program, you will be able to: Define essential terms and concepts related to artificial intelligence (AI) Illustrate how prompts facilitate interaction with Generative AI Recognize the capabilities of Large Language Models Craft prompts to develop project origination documents Create prompts to assist in planning a project Develop user stories with Generative AI Analyze project performance using Generative AI Identify the limitations of Generative AI Identify the risks associated with using Generative AI Articulate the need for governance and ethics when establishing an AI program in an organization Course Overview Getting Started Foundation Concepts Understanding essential terms and concepts related to AI Exploring various Generative AI Models Understanding Prompts Creating Prompts for Project Startup Prompts for starting a project Prompts for planning a project Best Practices for prompt engineering Creating Prompts for Managing Projects Creating agile user stories Measuring project performance Analyzing a schedule Using Generative AI Responsibly Limitations of AI Models Establishing an AI governance framework Future trends and next steps Summary and Next Steps