8393 ET courses in Cardiff delivered Online

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows - IT Staff and Managers - Network and systems personnel and engineers - Small to mid-sized organizations that require fundamental knowledge on networking terms/concepts and configuration guidance for Meraki equipment This also includes organizations looking to implement remote sites, provide a guest wireless solution, and collect user analytics Overview Upon completing this course, the student will be able to meet these objectives: Students will be able to Deploy and Manage a Meraki Network using the Meraki Dashboard - Deploy, Manage, Monitor and Troubleshoot Meraki MS Switches - Deploy, Manage, Monitor and Troubleshoot Meraki MR Wireless Access Points - Deploy, Manage, Monitor and Troubleshoot Meraki MX Firewall Appliances - Deploy, Manage, Monitor and Troubleshoot Meraki MV IP Video Cameras - Deploy, Manage, Monitor and Troubleshoot Meraki MC Phones - Deploy, Manage, Monitor and Troubleshoot Meraki Systems Manager - Deploy, Manage, Monitor and Troubleshoot Meraki SDWAN This course familiarizes individuals with networking concepts and demonstrates how to effectively use Meraki products to build a comprehensive network Cisco/Meraki Product Line Introduction MS - Switching MR - Wireless LAN MX - Security MV ? Camera MC - Voice SD-WAN Cisco/Meraki Cloud Management Introduction to cloud management The dashboard and navigation Organizations & Networks ? what is the difference and how to use them System-wide parameters (organization parameters) Cisco/Meraki Dashboard Administration Creating and implementing maps Summary Report and Auto Generation Reports Adding administrators and tweaking security levels Using Tags and Configuring Alerting (SNMP, email) Adding admins, configuring reports, and alerts Firmware Management Configuring Authentication Lab 1 Lab 2 Configuring external authentication Configuring Group Policies Device Replacement Location Analytics Other advanced analytics Cisco/Meraki Switching Review switching basics Review Meraki L2 Switch Models Configuring Meraki Switches Troubleshooting / Diagnostics Lab 3 Cisco/Meraki Routing Review routing basic (IP Addresses, Networks and Masks, OSPF, etc.) Review Meraki L3 switch Models Configuring Meraki Switches for Routing Lab 4 Cisco/Meraki Wireless Review Wireless Basics Meraki Wireless Product Review Performing a Site Survey Configuring Access Points Lab 5 Cisco/Meraki Firewalls/Security Review firewall basics Meraki Firewall Model Review Configuring a Meraki Firewall Lab 6 IP Cameras MV21 vs MV71 Installing Cameras Adding Cameras to the Dashboard Managing MV Cameras Troubleshooting Cameras Lab 7 Meraki Communications QOS Voice Security Deploying Meraki MC74 Phones Deploying Cisco IP Phones to CUCM Deploying Voice Features End User Lab 8 Meraki Systems Manager Controlling Wireless Device Policies Enrolling Devices Apps Profiles Tags Security Policies Geofencing Policies Lab 9 Meraki SDWAN What is SD-WAN? Concentrator Mode VPN Topology Split Tunnel Full Tunnel Hub and Spoke VPN Mesh Datacenter Redundancy (DC-DC Failover) Warm Spare (High Availability) for VPN concentrators Connection Monitor Dual-Active VPN uplinks Policy-based Routing Dynamic Path Selection SD-WAN Objectives Example Topology High Level Traffic Flow SD-WAN Technologies Deploying a one-armed concentrator Dashboard Configuration Other Datacenter Configuration MX IP Assignment Upstream Considerations Datacenter Redundancy (DC-DC Failover) High-level architecture Failover Times Datacenter Deployment Branch Deployment Lab 10 Meraki Support Getting support for Meraki Finding the Right Documentation Posting in the Community Troubleshooting Meraki Connectivity Issues Resetting Devices. Additional course details: Nexus Humans Implementing and Configuring Meraki Technologies v1.0 (ICMT - CT) 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 Implementing and Configuring Meraki Technologies v1.0 (ICMT - CT) 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 This course is open to engineers, administrators, and security-minded users of public, private, and hybrid cloud infrastructures responsible for implementing security in cloud environments: Security architects Cloud architects Security engineers Cloud engineers System engineers Cisco integrators and partners Overview After taking this course, you should be able to: Contrast the various cloud service and deployment models. Implement the Cisco Security Solution for SaaS using Cisco Cloudlock Micro Services. Deploy cloud security solutions using Cisco AMP for Endpoints, Cisco Umbrella, and Cisco Cloud Email Security. Define Cisco cloud security solutions for protection and visibility using Cisco virtual appliances and Cisco Stealthwatch Cloud. Describe the network as a sensor and enforcer using Cisco Identity Services Engine (ISE), Cisco Stealthwatch Enterprise, and Cisco TrustSec. Implement Cisco Firepower NGFW Virtual (NGFWv) and Cisco Stealthwatch Cloud to provide protection and visibility in AWS environments. Explain how to protect the cloud management infrastructure by using specific examples, defined best practices, and AWS reporting capabilities. This course shows you how to implement Cisco© cloud security solutions to secure access to the cloud, workloads in the cloud, and software as a service (SaaS) user accounts, applications, and data. This course covers usage of Cisco Cloudlock, Cisco Umbrella?, Cisco Cloud Email Security, Cisco Advanced Malware Protection (AMP) for Endpoints, Cisco Stealthwatch© Cloud and Enterprise, Cisco Firepower© NGFW (next-generation firewall), and more. Introducing the Cloud and Cloud Security Describe the Evolution of Cloud Computing Explain the Cloud Service Models Explore the Security Responsibilities Within the Infrastructure as a Service (IaaS) Service Model Explore the Security Responsibilities Within the Platform as a Service (PaaS) Service Model Explore the Security Responsibilities Within the SaaS Service Model Describe Cloud Deployment Models Describe Cloud Security Basics Implementing the Cisco Security Solution for SaaS Access Control Explore Security Challenges for Customers Using SaaS Describe User and Entity Behavior Analytics, Data Loss Prevention (DLP), and Apps Firewall Describe Cloud Access Security Broker (CASB) Describe Cisco CloudLock as the CASB Describe OAuth and OAuth Attacks Deploying Cisco Cloud-Based Security Solutions for Endpoints and Content Security Describe Cisco Cloud Security Solutions for Endpoints Describe AMP for Endpoints Architecture Describe Cisco Umbrella Describe Cisco Cloud Email Security Design Comprehensive Endpoint Security Introducing Cisco Security Solutions for Cloud Protection and Visibility Describe Network Function Virtualization (NFV) Describe Cisco Secure Architectures for Enterprises (Cisco SAFE) Describe Cisco NGFWv/Cisco Firepower Management Center Virtual Describe Cisco ASAv Describe Cisco Services Router 1000V Describe Cisco Stealthwatch Cloud Describe Cisco Tetration Cloud Zero-Trust Model Describing the Network as the Sensor and Enforcer Describe Cisco Stealthwatch Enterprise Describe Cisco ISE Functions and Personas Describe Cisco TrustSec Describe Cisco Stealthwatch and Cisco ISE Integration Describe Cisco Encrypted Traffic Analytics (ETA) Implementing Cisco Security Solutions in AWS Explain AWS Security Offerings Describe AWS Elastic Compute Cloud (EC2) and Virtual Private Cloud (VPC) Discover Cisco Security Solutions in AWS Explain Cisco Stealthwatch Cloud in AWS Describing Cloud Security Management Describe Cloud Management and APIs Explain API Protection Illustrate an API Example: Integrate to ISE Using pxGrid Identify SecDevOps Best Practices Illustrate a Cisco Cloud Security Management Tool Example: Cisco Defense Orchestrator Illustrate a Cisco Cloud Security Management Tool Example: Cisco CloudCenter? Describe Cisco Application Centric Infrastructure (ACI) Describe AWS Reporting Tools Additional course details: Nexus Humans Cisco Securing Cloud Deployments with Cisco Technologies v1.0 (SECCLD) 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 Securing Cloud Deployments with Cisco Technologies v1.0 (SECCLD) 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 information technology (IT) professionals who need to improve their expertise in Windows Server 2016 in the area of storage and compute functionality. Overview After completing this course, you will be able to: Configure and install Windows Server 2016 Manage Server Core, server upgrade and migration strategy Understand storage options Manage partition table formats Manage basic and dynamic disks, file systems Manage virtual hard disks, and drive hardware Manage disks and volumes Select and manage proper storage solutions for a specific scenario Storage Spaces and Data Deduplication implementation Configure and Manage Microsoft Hyper-V, virtual machines and Hyper-V containers Configure disaster recovery technologies Manage and Configure failover clustering for Hyper-V virtual machines Configure, plan and implement a Network Load Balancing (NLB) Work with deployment images This course is intended for information technology (IT) professionals who have basic knowledge of Windows Server. It is designed for professionals who have primary responsibility of managing storage and computing by using Windows Server 2016. Professionals who need to understand the scenarios, requirements, and storage and compute options that are available and applicable to Windows Server 2016.This course covers content that was in retired Microsoft Course 20740. Module 1: Installing, upgrading, and migrating servers and workloads Introducing Windows Server 2016 Preparing and installing Server Core Preparing for upgrades and migrations Migrating server roles and workloads Windows Server activation models Module 2: Configuring local storage Managing disks in Windows Server Managing volumes in Windows Server Module 3: Implementing enterprise storage solutions Overview of DAS, NAS, and SANs Comparing Fibre Channel, iSCSI, and Fibre Channel over Ethernet Understanding iSNS, DCB, and MPIO Configuring sharing in Windows Server 2016 Module 4: Implementing Storage Spaces and Data Deduplication Implementing Storage Spaces Managing Storage Spaces Implementing Data Deduplication Module 5: Installing and configuring Hyper-V and virtual machines Overview of Hyper-V Installing Hyper-V Configuring storage on Hyper-V host servers Configuring networking on Hyper-V host servers Configuring Hyper-V virtual machines Managing virtual machines Module 6: Deploying and managing Windows and Hyper-V containers Overview of containers in Windows Server 2016 Preparing for containers Installing, configuring, and managing containers by using Docker Module 7: Overview of high availability and disaster recovery Defining levels of availability Planning high availability and disaster recovery solutions with Hyper-V virtual machines Backing up and restoring by using Windows Server Backup High Availability with failover clustering in Windows Server 2016 Module 8: Implementing failover clustering Planning a failover cluster Creating and configuring a new failover cluster Maintaining a failover cluster Troubleshooting a failover cluster Implementing site high availability with stretch clustering Module 9: Implementing failover clustering with Windows Server 2016 Hyper-V Overview of yhe integration of Hyper-V Server 2016 with failover clustering Implementing Hyper-V VMs on failover clusters Key features for VMs in a clustered environment Module 10: Implementing Network Load Balancing Overview of NLB Configuring an NLB cluster Planning an NLB implementation Module 11: Creating and managing deployment images Introduction to deployment images Creating and managing deployment images by using MDT Virtual machine environments for different workloads Module 12: Managing, monitoring, and maintaining virtual machine installations WSUS overview and deployment options Update management process with WSUS Overview of Windows PowerShell DSC Overview of Windows Server 2016 monitoring tools Using Performance Monitor Monitoring event logs Additional course details: Nexus Humans 55324 Installation, Storage and Compute with Windows Server 2016 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 55324 Installation, Storage and Compute with Windows Server 2016 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 This course benefits individuals responsible for implementing, monitoring, and troubleshooting Juniper security components. Overview After successfully completing this course, you should be able to: Demonstrate understanding of concepts covered in the prerequisite Juniper Security courses. Describe the various forms of security supported by the Junos OS. Describe the Juniper Connected Security model. Describe Junos security handling at Layer 2 versus Layer 3. Implement next generation Layer 2 security features. Demonstrate understanding of Logical Systems (LSYS). Demonstrate understanding of Tenant Systems (TSYS). Implement virtual routing instances in a security setting. Describe and configure route sharing between routing instances using logical tunnel interfaces. Describe and discuss Juniper ATP and its function in the network. Describe and implement Juniper Connected Security with Policy Enforcer in a network. Describe firewall filters use on a security device. Implement firewall filters to route traffic. Explain how to troubleshoot zone problems. Describe the tools available to troubleshoot SRX Series devices. Describe and implement IPsec VPN in a hub-and-spoke model. Describe the PKI infrastructure. Implement certificates to build an ADVPN network. Describe using NAT, CoS and routing protocols over IPsec VPNs. Implement NAT and routing protocols over an IPsec VPN. Describe the logs and troubleshooting methodologies to fix IPsec VPNs. Implement working IPsec VPNs when given configuration that are broken. Describe Incident Reporting with Juniper ATP On-Prem device. Configure mitigation response to prevent spread of malware. Explain SecIntel uses and when to use them. Describe the systems that work with SecIntel. Describe and implement advanced NAT options on the SRX Series devices. Explain DNS doctoring and when to use it. Describe NAT troubleshooting logs and techniques. This four-day course, designed to build off the current Juniper Security (JSEC) offering, delves deeper into Junos security, next-generation security features, and ATP supporting software. Chapter 1: Course Introduction Course Introduction Chapter 2: Junos Layer 2 Packet Handling and Security Features Transparent Mode Security Secure Wire Layer 2 Next Generation Ethernet Switching MACsec Lab 1: Implementing Layer 2 Security Chapter 3: Firewall Filters Using Firewall Filters to Troubleshoot Routing Instances Filter-Based Forwarding Lab 2: Implementing Firewall Filters Chapter 4: Troubleshooting Zones and Policies General Troubleshooting for Junos Devices Troubleshooting Tools Troubleshooting Zones and Policies Zone and Policy Case Studies Lab 3: Troubleshooting Zones and Policies Chapter 5: Hub-and-Spoke VPN Overview Configuration and Monitoring Lab 4: Implementing Hub-and-Spoke VPNs Chapter 6: Advanced NAT Configuring Persistent NAT Demonstrate DNS doctoring Configure IPv6 NAT operations Troubleshooting NAT Lab 5: Implementing Advanced NAT Features Chapter 7: Logical and Tenant Systems Overview Administrative Roles Differences Between LSYS and TSYS Configuring LSYS Configuring TSYS Lab 6: Implementing TSYS Chapter 8: PKI and ADVPNs PKI Overview PKI Configuration ADVPN Overview ADVPN Configuration and Monitoring Lab 7: Implementing ADVPNs Chapter 9: Advanced IPsec NAT with IPsec Class of Service with IPsec Best Practices Routing OSPF over VPNs Lab 8: Implementing Advanced IPsec Solutions Chapter 10: Troubleshooting IPsec IPsec Troubleshooting Overview Troubleshooting IKE Phase 1 and 2 IPsec Logging IPsec Case Studies Lab 9: Troubleshooting IPsec Chapter 11: Juniper Connected Security Security Models Enforcement on Every Network Device Chapter 12: SecIntel Security Feed Encrypted Traffic Analysis Use Cases for SecIntel Lab 10: Implementing SecIntel Chapter 13:Advanced Juniper ATP On-Prem Collectors Private Mode Incident Response Deployment Models Lab 11: Implementing Advanced ATP On-Prem Chapter 14: Automated Threat Mitigation Identify and Mitigate Malware Threats Automate Security Mitigation Lab 12: Identifying and Mitigation of Threats Additional course details: Nexus Humans AJSEC - Advanced Junos Security 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 AJSEC - Advanced Junos Security 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 Server administrators Network engineers Systems engineers Consulting systems engineers Technical solutions architects Network administrators Storage administrators Network managers Cisco integrators and partners Overview After taking this course, you should be able to: Describe and implement Fibre Channel, zoning, and N-Port Virtualization (NPV) features on Cisco UCS Describe and implement Fibre Channel over Ethernet (FCoE) on Cisco UCS Describe Cisco UCS policies for service profiles Describe Cisco Adapter Fabric Extender (FEX) and Single Root I/O Virtualization Describe and implement Role-Based Access Control (RBAC) on Cisco UCS Describe and implement external authentication providers on Cisco UCS Manager Describe and implement key management on Cisco UCS Manager Describe Cisco UCS Director Describe and implement Cisco Intersight Describe the scripting options for Cisco UCS Manager Describe and implement monitoring on Cisco UCS Manager The Configuring Cisco Unified Computing System (DCCUCS) v1.0 shows you how to deploy, secure, operate, and maintain Cisco Unified Computing System? (Cisco UCS©) B-series blade servers, Cisco UCS C-Series, and S-Series rack servers for use in data centers. You will learn how to implement management and orchestration software for Cisco UCS. You will gain hands-on practice: configuring key features of Cisco UCS, Cisco UCS Director, and Cisco UCS Manager; implementing UCS management software including Cisco UCS Manager and Cisco Intersight?; and more. Implementing Cisco UCS Storage Area Network (SAN) SAN Introduction Cisco UCS Fabric Interconnect Fibre Channels modes Named VSANs Cisco UCS Fibre Channel and FCoE Storage Connectivity Describing Cisco UCS Policies for Service Profiles Storage Policies and Profiles Basic Input Output System (BIOS) Policies Boot Policy Intelligent Platform Management Interface (IPMI) Policies Scrub Policies Maintenance Policies Describing Cisco Adapter FEX and Single Root I/O Virtualization Cisco FEX Overview Cisco Adapter FEX Single Root I/O Virtualization Implementing RBAC on Cisco UCS RBAC in Cisco UCS Users, Roles, and Privileges Functions of Organizations and Locales Effective Rights of a User Implementing External Authentication Providers Options for External Authentication Providers Implementing Key Management on Cisco UCS Manager Public Key Infrastructure Implementing Cisco UCS Director Cisco UCS Director Overview Policies, Virtual Data Centers, and Catalogs Cisco UCS Director Virtualization Support Managing Compute with Cisco UCS Director Cisco UCS Manager Orchestration Self-Service Portal Reporting and Monitoring in Cisco UCS Director Implementing Cisco Intersight Cisco UCS Director Overview Important Features of Cisco Intersight Describing the Scripting Options for Cisco UCS Manager Cisco UCS Manager XML API Cisco UCS Management Information Tree Managed Object Browser Cisco UCS PowerTool Cisco UCS Python Software Development Kit (SDK) Implementing Key Management on Cisco UCS Manager Public Key Infrastructure Implementing Cisco Intersight Cisco Intersight Overview Important Features of Cisco Intersight Describing the Scripting Options for Cisco UCS Manager Cisco UCS Manager XML API Cisco UCS Management Information Tree Managed Object Browser Cisco UCS Manager PowerTool Cisco UCS Python SDK Implementing Monitoring on Cisco UCS Manager Logging Sources in Cisco UCS Manager Port Monitoring Capabilities of Cisco UCS Manager Simple Network Management Protocol (SNMP) Security Ramifications Cisco UCS Manager Call Home Feature Lab outline Configure Pod-Specific Device Aliases Configure Zoning Configure VSANs in Cisco UCS Manager Configure Unified Ports on Cisco UCS Fabric Interconnects Install and Boot VMware Elastic Sky X Integrated (ESXi) on Cisco UCS from the FCoE Logical Unit Number (LUN) via FCoE Configure RBAC Configure Cisco UCS Manager to Authenticate Users via Open Lightweight Directory Access Protocol (OpenLDAP) Configure a Trusted Point and Key Ring in Cisco UCS Manager Configure Cisco UCS with Cisco Intersight Configure Cisco UCS Manager Using Scripting Implement Syslog and Call Home Additional course details: Nexus Humans Cisco Configuring Cisco Unified Computing System v1.0 (DCCUCS) 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 Configuring Cisco Unified Computing System v1.0 (DCCUCS) 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 1 Days 6 CPD hours This course is intended for This introductory-level course is great for experienced technical professionals working in a wide range of industries, such as software development, data science, marketing and advertising, finance, healthcare, and more, who are looking to use the latest AI and machine learning techniques in their day to day. The hands-on labs in this course use Python, so you should have some familiarity with Python scripting basics. Overview Working in an interactive learning environment, led by our engaging OpenAI expert you'll: Understand the capabilities and products offered by OpenAI and how to access them through the OpenAI API. set up an OpenAI environment on Azure, including creating an Azure virtual machine and configuring the environment to connect to Azure resources. Gain hands-on experience building a GPT-3 based chatbot on Azure and implement advanced natural language processing capabilities. Use the OpenAI API to access GPT-3 and generate high-quality text Learn how to use Whisper to improve the quality of text generation. Understand the capabilities of DALL-E and use it to generate images for unique and engaging visuals. Geared for technical professionals, Quick Start to Azure AI Basics for Technical Users is a fun, fast paced course designed to quickly get you up to speed with OpenAI?s powerful tools and functionality, and to provide hands-on experience in setting up an OpenAI environment on Azure. Guided by our AI expert, you?ll explore the capabilities of OpenAI's GPT-3, Whisper and DALL-E, and build a chatbot on Azure. It will provide you with the knowledge and resources to continue your journey in AI and machine learning and have a good understanding of the potential of OpenAI and Azure for your projects. First, you?ll dive into the world of OpenAI, learning about its products and the capabilities they offer. You'll also discover how Azure's offerings for AI and machine learning can complement OpenAI's tools and resources, providing you with a powerful combination for your projects. And don't worry if you're new to Azure, we'll walk you through the process of setting up an account and creating a resource group. As you progress through the course, you'll get the chance to work with OpenAI's GPT-3, one of the most advanced large language models available today. You'll learn how to use the OpenAI API to access GPT-3 and discover how to use it to generate high-quality text quickly and easily. And that's not all, you'll also learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to implement advanced natural language processing capabilities in your chatbot projects. The course will also cover OpenAI Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. And you will learn about OpenAI DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects. Introduction to OpenAI and Azure Explore OpenAI and its products, as well as Azure's offerings for AI and Machine Learning, allowing you to understand the tools and resources available to you for your AI projects. Explore OpenAI and its products Explore Azure and its offerings for AI and Machine Learning Get Hands-On: Setting up an OpenAI environment on Azure Walk through the process of setting up an OpenAI environment on Azure, giving you the hands-on experience needed to start building your own projects using OpenAI and Azure. Create an Azure virtual machine and installing the OpenAI SDK Configure the OpenAI environment and connecting to Azure resources Explore OpenAI GPT-3 Learn about GPT-3, one of OpenAI's most powerful language models, and how to use it to generate high quality text, giving you the ability to create natural language content quickly and easily. Review GPT-3 and its capabilities Use the OpenAI API to access GPT-3 Get Hands-on: Building a GPT-3 based chatbot on Azure Learn how to build a GPT-3 based chatbot on Azure, giving you the opportunity to learn how to implement advanced natural language processing capabilities in your chatbot projects. Setup an Azure Function and creating a chatbot Integrate GPT-3 with the chatbot OpenAI Whisper Explore Whisper, an OpenAI tool that can improve the quality of text generation, allowing you to create more coherent and natural language content. Explore Whisper and its capabilities Use Whisper to improve the quality of text generation OpenAI DALL-E Explore DALL-E, an OpenAI tool that can generate images, giving you the ability to create unique and engaging visuals to enhance your content and projects. Explore DALL-E and its capabilities Use the OpenAI API to access DALL-E What?s Next: Keep Going! Other ways OpenAI can impact your day to day Explore great places to check for expanded tools and add-ons for Azure OpenAI Where to go for help and support Quick Look at Generative AI and its Business Implications Understanding Generative AI Generative AI in Business Ethical considerations of Generative AI

Duration 3 Days 18 CPD hours Overview The goal of this course is to enable technical students new to Cassandra to begin working with Cassandra in an optimal manner. Throughout the course students will learn to: Understand the Big Data needs that C* addresses Be familiar with the operation and structure of C* Be able to install and set up a C* database Use the C* tools, including cqlsh, nodetool, and ccm (Cassandra Cluster Manager) Be familiar with the C* architecture, and how a C* cluster is structured Understand how data is distributed and replicated in a C* cluster Understand core C* data modeling concepts, and use them to create well-structured data models Be familiar with the C* eventual consistency model and use it intelligently Be familiar with consistency mechanisms such as read repair and hinted handoff Understand and use CQL to create tables and query for data Know and use the CQL data types (numerical, textual, uuid, etc.) Be familiar with the various kinds of primary keys available (simple, compound, and composite primary keys) Be familiar with the C* write and read paths Understand C* deletion and compaction The Cassandra (C*) database is a massively scalable NoSQL database that provides high availability and fault tolerance, as well as linear scalability when adding new nodes to a cluster. It has many powerful capabilities, such as tunable and eventual consistency, that allow it to meet the needs of modern applications, but also introduce a new paradigm for data modeling that many organizations do not have the expertise to use in the best way.Introduction to Cassandra is a hands-on course designed to teach attendees the basics of how to create good data models with Cassandra. This technical course has a focus on the practical aspects of working with C*, and introduces essential concepts needed to understand Cassandra, including enough coverage of internal architecture to make good decisions. It is hands-on, with labs that provide experience in core functionality. Students will also explore CQL (Cassandra Query Language), as well as some of the ?anti-patterns? that lead to non-optimal C* data models and be ready to work on production systems involving Cassandra. Session 1: Cassandra Overview Why We Need Cassandra - Big Data Challenges vs RDBMS High level Cassandra Overview Cassandra Features Optional: Basic Cassandra Installation and Configuration Session 2: Cassandra Architecture and CQL Overview Cassandra Architecture Overview Cassandra Clusters and Rings Nodes and Virtual Nodes Data Replication in Cassandra Introduction to CQL Defining Tables with a Single Primary Key Using cqlsh for Interactive Querying Selecting and Inserting/Upserting Data with CQL Data Replication and Distribution Basic Data Types (including uuid, timeuuid) Session 3: Data Modeling and CQL Core Concepts Defining a Compound Primary Key CQL for Compound Primary Keys Partition Keys and Data Distribution Clustering Columns Overview of Internal Data Organization Overview of Other Querying Capabilities ORDER BY, CLUSTERING ORDER BY, UPDATE , DELETE, ALLOW FILTERING Batch Queries Data Modeling Guidelines Denormalization Data Modeling Workflow Data Modeling Principles Primary Key Considerations Composite Partition Keys Defining with CQL Data Distribution with Composite Partition Key Overview of Internal Data Organization Session 4: Additional CQL Capabilities Indexing Primary/Partition Keys and Pagination with token() Secondary Indexes and Usage Guidelines Cassandra collections Collection Structure and Uses Defining and Querying Collections (set, list, and map) Materialized View Overview Usage Guidelines Session 5: Data Consistency In Cassandra Overview of Consistency in Cassandra CAP Theorem Eventual (Tunable) Consistency in C* - ONE, QUORUM, ALL Choosing CL ONE Choosing CL QUORUM Achieving Immediate Consistency Overview of Other Consistency Levels Supportive Consistency Mechanisms Writing / Hinted Handoff Read Repair Nodetool repair Session 6: Internal Mechanisms Ring Details Partitioners Gossip Protocol Snitches Write Path Overview / Commit Log Memtables and SSTables Write Failure Unavailable Nodes and Node Failure Requirements for Write Operations Read Path Overview Read Mechanism Replication and Caching Deletion/Compaction Overview Delete Mechanism Tombstones and Compaction Session 7: Working with IntelliJ Configuring JDBC Data Source for Cassandra Reading Schema Information Querying and Editing Tables. Additional course details: Nexus Humans Introduction to Cassandra (TTDS6776) 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 Cassandra (TTDS6776) 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 Overview By the end of the course, you should be able to meet the following objectives: List the operational challenges for rolling out and operating telco services including 5G. Identify the role of VMware Telco Cloud products in supporting telco services. Discuss the role of VMware technologies such as vSphere, NSX, and Tanzu etc. in implementing telco services. Outline the role of native tools and other VMware monitoring tools such as vRealize Operations and vRealize Log Insight in maintaining network services. Choose the VMware Telco Cloud products that meet your application requirements. Deploy a solution architecture that meet VMware best practices for delivering services using VMware Telco Cloud products. Implement and maintain VMware Telco Cloud products in a secure manner. Identify the tools and remediation pathways for maintaining the availability and performance of your applications and infrastructure using VMware Telco Cloud and vRealize Suite products. Follow specific steps to resolve application performance and availability problems Scale your VMware Telco Cloud products to meet operational requirements in line with VMware best practices. Optimize the operation of VMware Telco Cloud products to ensure SLAs are met. This five-day, hands-on training course provides the knowledge to operate and scale VMware Telco Cloud version 2.x products in a Telco cloud provider environment. In this course, you are exposed to the entire VMware Telco Cloud portfolio, and the tools and methodologies available to ensure they operate effectively. In addition, you are presented with various scenarios where you will be guided through the process of identifying, analyzing, and formulating solutions to performance and other problems. Course Introduction Introductions and course logistics Course objectives Overview of Network Transformation Reviews the technologies that enable modern networks Lists the components of modern service provider networks Outlines characteristics of modern service provider networks in meeting customer application needs Service Delivery with VMware Telco Cloud Outlines the components of the VMware Telco Cloud portfolio Reviews the role each VMware Telco Cloud product plays in delivering telco services Specifies the dependencies each product has on underlying technologies Supporting VMware Telco Cloud Service Delivery Reviews the products that implements the virtualization, management, platform, and orchestration layers Outlines the role played by other VMware products such as NSX in delivering cloud services Outline opensource integration options with VMware Telco Cloud products Securing VMware Telco Cloud Reviews security threats that affect telco services Identifies the critical telco assets that are prone to attack Outlines best practice for securing VMware Telco Cloud products and underlying technology Provides overview of appropriate security controls for VMware Telco Cloud products Assessing Service Provision Reviews tools and methodologies used to gather requirements Outlines how to assess cloud-native capabilities Documenting findings Identifying security vulnerabilities with Helm. Reviews VMware?s Customer Engagement process Capturing infrastructure requirements from TCA Designing a VMware Telco Cloud Solution Selecting appropriate deployment topology Pros and cons of design choices How a design choice might be affected by other factors such as NSX and TKG deployment, or data center architecture Outlines typical scenarios where specific products align with identified requirements Documenting a design Designing for availability Ensuring a design aligns with best practice Specifying monitoring options Implementing VMware Telco Cloud Products Review deployment options for VMware products Integrating new products with existing ones Outline post-installation tasks Adding the new products as data sources in monitoring tools such as vRealize Operations and vRealize Operations Network Insight Ensuring products meet security requirements Configuring monitoring software Outlines the xNF onboarding process in TCA Maintaining Telco Services Outlines typical administrative tasks in ensuring services are maintained Use of native and other VMware performance monitoring tools Reviewing performance data Role of SLAs in service maintenance Reviews scenarios where known behaviors indicate problems Troubleshooting Deployed Telco Services Reviews the troubleshooting tools available Using tools to gather useful data Outlines how event correlation can be used to isolate problems Using a methodology to determine the root cause of a problem Steps to identify and resolve a problem Reviews scenarios where known problems are isolated and resolution steps identified Scaling VMware Telco Cloud Products Assessing if operations are impacted by lack of resources now or will be in the future Reviews performance optimization options Identifies implications for other products if you scale VMware Telco Cloud products Reviews VMware sizing guidelines Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Telco Cloud: Day 2 Operate and Scale [V2.x] 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 VMware Telco Cloud: Day 2 Operate and Scale [V2.x] 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 Experienced system administrators or network administrators, software and DevOps engineers Overview By the end of the course, you should be able to meet the following objectives: Describe VMware NSX Advanced Load Balancer architecture Describe VMware NSX Advanced Load Balancer components and main functions Explain VMware NSX Advanced Load Balancer key features and benefits Describe and leverage VMware NSX Advanced Load Balancer REST API Describe and leverage VMware NSX Advanced Load Balancer SDKs with extended focus on Python SDK Leverage REST API and SDK features and functions to provision application delivery components Describe and leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations Describe and leverage VMware NSX Advanced Load Balancer Github, Docker (avinetworks/avitools), Ansible Galaxy and other open source resources to accelerate the automation planning and implementation Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to provision infrastructure components Leverage VMware NSX Advanced Load Balancer Ansible and Terraform integrations to automate and streamline application delivery services provisioning This three-day, fast-paced course provides comprehensive training on how to automate infrastructure and application components of VMware NSX Advanced Load Balancer (Avi Networks) solution. This course covers key application delivery features of NSX Advanced Load Balancer (Avi Networks) features and functionality offered in VMware NSX Advanced Load Balancer 18.2 release and focuses on how to plan and implement automation of infrastructure and application components leveraging REST API, SDK or automation solutions such as Ansible, Terraform or similar. Access to a software-defined data center environment is provided through hands-on labs to reinforce the skills and concepts presented in the course. Course Introduction Introductions and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases, and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and functions Virtual Services Configuration Concepts Explain Virtual Service components Explain Virtual Service types Explain and configure basic virtual services components such as Application Profiles, Network Profiles,Pools and Health Monitors Pools Configuration Concepts Explain and deep dive on Pool configuration options Describe multiple load balancing algorithms Explain multiple Health Monitor types Explain multiple Persistent profiles Explain and configure Pool Groups Leveraging NSX Advanced Load Balancer REST API Explain NSX Advanced Load Balancer automation vision Explain and introduce NSX Advanced Load Balancer REST API Describe NSX Advanced Load Balancer REST API methods and capabilities Describe NSX Advanced Load Balancer REST API session handling properties such authentication, API versioning and tenancy model Deep dive on NSX Advanced Load Balancer REST API Object Model Explain and investigate NSX Advanced Load Balancer REST API leveraging browser and command line utilities Explain and interact with NSX Advanced Load Balancer REST API leveraging browser, Postman and Curl Explain Swagger-based API Documentation Explain and leverage NSX Advanced Load Balancer Inventory API Explain and leverage NSX Advanced Load Balancer methods such as GET, PUT, POST and PATCH and associated queries, filters and parameters Deep dive on NSX Advanced Load Balancer PATCH method Explain and leverage NSX Advanced Load Balancer Analytics API Explain and leverage NSX Advanced Load Balancer MACRO API NSX Advanced Load Balancer Software-Defined Kits (SDKs) and ControlScripts Introduce NSX Advanced Load Balancer SDKs Describe, install and leverage NSX Advanced Load Balancer Python SDK Deep dive on NSX Advanced Load Balancer Python SDK Describe and leverage Golang SDK Leverage NSX Advanced Load Balancer open source resources such as Github, etc to accelerate SDKs adoption Describe NSX Advanced Load Balancer Events and Alerts framework Introduce ControlScripts foundations Leverage ControlScripts to automate configuration changes and alerts remediation Automating NSX Advanced Load Balancer Application Delivery Services with Ansible and Terraform Introduce NSX Advanced Load Balancer Configuration Orchestration and Management vision Introduce and explain Ansible foundations Describe Ansible and NSX Advanced Load Balancer Ansible capabilities Deep dive and implement NSX Advanced Load Balancer Ansible Core configuration modules (avinetworks/avisdk) Deep dive and implement Ansible NSX Advanced Load Balancer Declarative configuration role (avinetworks/aviconfig) Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Ansible playbooks Explain application delivery configuration automation approach and models Apply configuration automation models with Ansible Introduce and explain Terraform foundations Describe Terraform and NSX Advanced Load Balancer Terraform capabilities Deep dive and implement NSX Advanced Load Balancer Terraform Provider Leverage Swagger NSX Advanced Load Balancer REST API models to develop and implement Terraform plans Apply configuration automation models with Terraform Automating NSX Advanced Load Balancer Infrastructure with Ansible and Terraform Introduce NSX Advanced Load Balancer infrastructure Automation vision Describe infrastructure deployment approach and capabilities Describe Ansible and NSX Advanced Load Balancer Ansible Infrastructure deployment approach and capabilities Describe Terraform and NSX Advanced Load Balancer Terraform deployment approach and capabilities Leverage Terraform to deploy Controllers and perform system configuration, including control plane cluster setup Leverage Terraform to provision Cloud, Service Engine Groups and Service Engine components Describe and leverage Ansible roles to deploy Controllers and perform initial system configuration, including control plane cluster setup Leverage Ansible declarative and core roles to provision Cloud, Service Engine Groups and Service Engine components Describe and implement combined Terraform + Ansible model to streamline NSX Advanced Load Balancer solution deployment

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.