249 API courses in Sheffield delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Network Administrators Administrators interested in Automation Individuals interested in devops, specifically for networking Overview This course teaches students to blend Python skillsets with Ansible through the lens of automating networks. Automation techniques for the most popular vendor (incl. Cisco, Juniper, Arista) will be subjects of study, however, students may request examples from vendors within their own environments. Topics begin with a focus on automating networks with Python; this skill set is then folded into a broadening understanding of automating with Ansible. Students will have programmatic experience automating enterprise class networks by the conclusion of this course (includes writing custom Ansible modules with Python). Class is a combination of lecture, demonstration, and hands-on labs. Students are invited to share their own relevant Python and Ansible scripts with the instructor to ensure class subjects are as relevant as possible. All notes and scripts will be made available to students by the end of each day via a cloud-share or email. Lab time will be given reinforce that day's topics and demonstrations. No two networks are the same! Learn to automate your network with a Python and Ansible skillset. Course can be taught across all major (and most minor) network vendors. Course demonstrations can be adapted to best-fit the customer?s network to ensure all lessons have maximum relevance. Day 1 ? Critical Python Catchup & Review Overview of Python and Ansible Python white space rules & best practices Printing and more Printing Date types and Variables Packing and Unpacking Variables f Strings Conditional expressions Relational and Boolean operators Lists, Tuples, Dictionaries Indexing and slicing Built-in functions Iterating with Loops (for and while) Working with files Software Control Management (SCM) (Git, Github, Bitbucket, Cloudshare, etc.) Using Python to access REST interfaces Working with JSON Python, Ansible and Paramiko Using Paramiko to SSH with keys and passwords RESTful API review API keys Paramiko Review Using Paramiko to SFTP with keys and passwords Day 02 ? Python and Network Automation Introduction to Netmiko (automating routers and switches) Using Netmiko to send commands to / from network devices Working with YAML Converting JSON to YAML with Python Ansible keywords YAML and JSON for data exchange Ansible and YAML Ansible Playbook components Tying together Python and Ansible ? Using Python within Ansible Ansible Network Modules What is new in Ansible (most current updates / release notes) Network Agnostic modules Writing network playbooks Reviewing the construction of network playbooks Writing Ansible playbooks that respond to network failures Day 03 ? Blending Python and Ansible Skillsets Review how to use Python within Ansible Calling Python scripts with Ansible Jinja2 Templating Engine for Python (and Ansible) Using Templates in Ansible playbooks Jinja2 filters, looping, and other useful tricks for automating with Ansible Playbook tagging for selective runs When to use Python and when to use Ansible ?Big Picture? options for using Python & Ansible within your Network Ansible Roles Day 04 ? Customizing Ansible with Python Review ? Running Scripts with Ansible Prompting for Ansible user input Ansible Galaxy & Getting at Roles Writing a custom Ansible Module with Python Ansible ?Engine? vs Ansible ?Tower? ? marketing hype, capabilities, costs, etc. Case Study: Automate your Enterprise Network When to use Python and when to use Ansible Writing your own Ansible modules in Python ?Big Picture? options for using Python & Ansible within your Network Overview ? NETCONF / YANG and what they mean for Python and Ansible Molecule ? Testing your roles Additional course details: Nexus Humans Network Automation with Python and Ansible 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 Network Automation with Python and Ansible 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 5 Days 30 CPD hours This course is intended for Network Video Operator and Administrator Voice / UC / Collaboration / Communications Engineer Collaboration Tools Engineer Collaboration Sales / Systems Engineer Overview Upon completing this course, the learner will be able to meet these overall objectives: Install, configure, maintain, and troubleshoot Cisco visual collaboration solutions. This course assists the student in preparing for the Cisco TelePresence Video Specialist Certification. Upon completing this course, the learner will be able to meet these overall objectives Module 1: Advanced Cisco Expressway Features Introducing Cisco video network solutions Exploring Cisco Expressway basic setup Explaining regular expressions in a Cisco Expressway environment Deploying components of Cisco Expressway Security Exploring the fundamentals of subzonesÿ Administering call control Implementing subzone bandwidth management Implementing zones Exploring clustering Applying troubleshooting Module 2: Advanced Cisco Meeting Server Features Introducing the Cisco meeting server Exploring API configuration Exploring resilient and scalable deployments Additional features Module 3: Cisco Collaboration Meeting Room Solutions with Cisco TelePresence Server Introducing Collaboration Meeting Room cloud, premises, and hybrid products Deploying the TelePresence Server and TelePresence conductor Applying troubleshooting to Cisco CMR Premises Solutions Module 4: Cisco TelePresence Management Suite (TMS) Solution Explaining Cisco TMS Installation Describing TMS operation Explaining TMS conference scheduling and management Configuring permissions Applying troubleshooting Module 5: Cisco Cloud Solutions - WebEx and Spark Introducing WebEx and Spark cloud solutions Exploring Spark administration configuration Deploying Spark hybrid services Exploring Spark APIs and BOTs configuration Module 6: Cisco TelePresence Content Server (Optional Module) Examining Cisco TCS operation and configuration

Duration 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

Duration 4 Days 24 CPD hours This course is intended for Technical decision makers Network architects Data center systems engineers Field engineers Overview After taking this course, you should be able to: Discover and describe the Cisco Multilayer Director Switch (MDS) platform of multilayer switches and directors Provision Cisco MDS Switches Describe key product features of the MDS platform Describe and implement automation an Cisco MDS Switches Configure and implement the Cisco MDS switches and platform features Resolve issues and troubleshoot FC domains, zones and zone merges, and switch boot and firmware upgrades The Configuring Cisco MDS 9000 Series Switches (DCMDS) v3.6 course teaches you to implement, manage, and troubleshoot Cisco© MDS 9000 Series Switches to build highly available, scalable storage networks. Through expert instruction and extensive hands-on practice, you will learn how to deploy and utilize capabilities such as Virtual Storage Area Networks (VSANs), Role-Based Access Control (RBAC), N-Port Virtualization (NPV) fabric security, zoning, automation with NX-API, Slow Drain Analysis, SAN analytics, Fibre Channel over TCP/IP (FCIP) tunnels, and more. You will learn how to configure and implement platform features and learn troubleshooting techniques pertaining to Fibre Channel (FC) domains, firmware upgrades, zones, and zone mergers.This course helps you prepare to take the 300-625 Implementing Cisco Storage Area Networking (DCSAN) exam, which leads to CCNP Data Center and the Certified Specialist - Data Center SAN Implementation certifications. Course Outline Describing Cisco MDS Platform Provisioning Cisco MDS Switches Building the Fibre Channel Fabric with Cisco MDS Switches Automating Cisco MDS Fabric Monitoring and Reporting Cisco MDS Features Troubleshooting Common Cisco MDS Issues

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Server Administrators Systems Engineers Storage Administrators Technical Solutions Architects Integrators and Partners Consulting Systems Engineers Network Administrators Network Engineers Network Managers Architects Overview Upon completion of this course, the student will be able to meet these overall objectives: Understand, describe, and configure Cisco Intersight (on prem and SaaS models) Understand, describe, and configure Intersight Advanced features (IST, ICO, IWOM) Understand, describe, and configure IMM and UMM mode for UCS Understand, describe, and configure Cisco X-Series (FI, IFM, X210c Server, Adv Fabric Module) Create Intersight Pools, Policies, and Management for X-Series Design and operate Cisco UCS with Intersight Managed Mode Solutions This deep-dive training covers Cisco UCS X-Series server family and how Intersight can be the enablement platform for all UCS servers. We will cover Intersight features such as IWOM, IST, ICO, and programmability either On-Prem or in the Cloud. Attendees will learn the breadth of the physical X-Series (pools, policies, firmware, so much more) platform as well as maintaining existing infrastructure with Intersight Infrastructures Services. Also covered is how to manage physical, virtual, cloud platforms and deploy to any or all. Section 1: Intersight Foundations Intersight Architecture Flexible Deployment Models Cisco Intersight Infrastructure Service Licensing Intersight Essentials License Tier Intersight Advantage License Tier Intersight Premier License Tier Section 2: Monitoring and Maintaining UCS Infrastructure with Intersight Device Health and Monitoring Standalone Management for UCS C-Series Servers Server Compatibility (HCL), Advisories (CVEs), and Contract Status Firmware Upgrades Section 3: Designing & Operationalizing Cisco UCS Solutions with Intersight Implementing Cisco Hyperflex with Intersight Managing Cisco HyperFlex in vSphere Environment Section 4: Cisco UCS M5, M6, X Overview and Configuration Cisco UCS X-Series with Intersight Deployment Architecture X-Series Fabric Interconnects Compute X-Series Power/Cooling Efficiency Cooling Capacity Airflow Thermal Policies Future-Proof Cooling Power Policies Compute Series Architecture ? C220 M6 Architecture ? C240 M6 Cisco VIC Offerings for M6 GPU Offerings for X-Series Management Options for C220 / C240 M6 Rack Servers UCS 7th Generation Intel Rack Servers Architecture ? C220 M7 Architecture ? C240 M7 Intel 4th Gen Intel© Xeon© SP Sapphire Rapids High Level Features M7 Memory DIMMs Architecture ? C225 M6 Architecture ? C245 M6 Section 5: Designing Cisco UCS LAN and SAN Connectivity LAN Connectivity Overview Gen 4 End Host Mode Requirements for Configuring VLANs in Cisco UCS Manager Role of the vNIC in Abstracting MAC Addresses Configuring Compute Node SAN Connectivity Fibre Channel Switching Fibre Channel Operating Modes EHM and N-Port Virtualization Configuring VSANs in Cisco UCS Manager Creating VSANs and FCoE VLANs in Cisco UCS Role of vHBAs when Abstracting WWNNs and WWPNs into a Service Profile Configuring Manual Uplink Pinning and Recovery from Failure Section 6: Configuring Cisco UCS-X in IMM Mode IMM and Domain Profiles Domain Policy Concepts and Usage Cisco Intersight Server Profiles Creating and Deploying a UCS C-Series Server Profile ? Process Overview Importing a Server Profile ? Process Overview Upgrading Firmware Cisco IMM Transition Tool Thermal Policies Power Policies Section 7: Implementing Cisco UCS-X Firmware Updates Intersight Platform Firmware Operations Overview Intersight Firmware Bundles Cisco Stand-Alone Firmware Management Cisco HX Firmware Management UCS Managed Infrastructure Firmware Management UCS Intersight Managed Mode Firmware Management Hardware Compatibility List Section 8: Intersight Workload Optimizer (IWO) Intersight Workload Optimizer Overview IWO Delivery and Tiers Workload Optimizer ? What?s New? IWO Value Proposition Application Resource Management IWO Market Section 9: Intersight Cloud Orchestrator (ICO) Sample Scenario Workflow Designer Validate and Execute a Workflow ICO ? Intersight Cloud Orchestrator Infrastructure Orchestration Infrastructure as Code with ICO Immutability with Intersight Cloud Orchestrator Workflow Versions Rollback Tasks (Task Designer) Section 10: Intersight API Overview Intersight API Resources SDKs / Ansible Modules Use Case Additional course details: Nexus Humans Administering Cisco UCS X-Series Solutions with Intersight (INTUCSX) 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 Administering Cisco UCS X-Series Solutions with Intersight (INTUCSX) 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 This course is designed for administrators who install, manage, and monitor IBM© DataPower Gateway Appliances. The course is also relevant for developers who administer appliances. Overview Configure an appliance for its initial deployment Download and upgrade the firmware on the DataPower appliances Create and manage user accounts, groups, and domains Configure Secure Sockets Layer (SSL) to and from DataPower Appliances Troubleshoot and debug services by using the problem determination tools, logs, and probes that are provided with the DataPower appliance Configure logging of messages to external locations IBM© DataPower Gateway Appliances are network devices that help secure, integrate, and optimize access to web, web services, mobile, and API workloads. Through instructor-led lectures and hands-on lab exercises, you learn how to run various administrative procedures, from initial installation and setup through ongoing maintenance of the appliances in production. You learn about the available management interfaces, such as the command-line interface (CLI), Web Management graphical interface, and XML Management Interface. You also learn how to use these interfaces to run various administrative tasks, such as upgrading firmware, running backup and restore operations, and configuring user accounts and domains. The course includes some information on upgrading firmware and working with DataPower hardware appliances. Course introductionDataPower deployment environmentsInitial setupManaging firmwareExercise: Upgrading image firmwareDataPower administration overviewUsing CLI and the XML Management Interface to configure appliance accessExercise: Using the CLI and the XML Management Interface to manage DataPower appliancesDataPower services overviewUsing the Web Management Blueprint Console to configure appliance accessTroubleshootingExercise: Using the troubleshooting tools to debug errorsDataPower cryptographic tools and SSL setupExercise: Securing connections with SSLLogging and log targetsExercise: Logging to an external systemCourse summary

Duration 5 Days 30 CPD hours Overview By the end of the course, you should be able to meet the following objectives: Deploy VMware Cloud Director Manage VMware Cloud Director to meet the service provider needs Create and manage VMware Cloud Director organizations and vApps to fulfill business needs Create and manage VMware Cloud Director catalogs Configure networking for organizations and vApps with the help of NSX-T Data Center Manage resources from the VMWare Cloud Director console Enable VM and Named Disk Create VM sizing and placement policies Create vApps and perform VM operations and actions Manage vGPU resources with VMware Cloud Director Discuss how VMware Cloud Director can be integrated with other solutions In this five-day course, you focus on installing, configuring, and managing on-premises VMware Cloud Director? 10.4. You will learn about workload provisioning, the creation of organizations, virtual data centers (VDCs), catalog services that include predefined virtual machines, and on-demand VMware NSX-T? Data Center networks. You will learn about different networks that a system administrator and an organization administrator can configure and use with virtual machines (VMs).This course also covers the UI enhancements of VMware Cloud Director, the new licensing model and UI enhancements with NSX Advanced Load Balancer?, and the L2 and L3 VPN enhancements in VMware Cloud Director. You will learn about defining segment profile templates to organization VDC networks and vApp networks and configuring DHCP, static routes, and no distributed routing in VMware Cloud Director. This course explains how to integrate and implement vGPU in VMware Cloud Director as well as how to use API access tokens and service accounts for programmatic access to VMware Cloud Director. Course Introduction Introductions and course logistics Course objectives Software-Defined Data Center and VMware Validated Solution Define software-defined data center (SDDC) Discuss VMware offerings for cloud-based services Discuss the deployment options for VMware Cloud Director Discuss VMware Validated Solution Recognize the design considerations when creating a cloud environment on the SDDC using VMware Cloud Foundation? VMware Cloud Director Deployment and Configuration Discuss the deployment options for VMware Cloud Director Explain the two-stage deployment of VMware Cloud Director cells Discuss failover mechanisms (automatic and manual) with VMware Cloud Director cells Define the switchover, promote, and fencing options of the VMware Cloud Director appliance Understand the VMware Cloud Director appliance enhancements VMware Cloud Director Provider Configuration Describe how the compute resources are provided to VMware Cloud Director Describe how storage is provided to VMware Cloud Director Configure and manage storage for Virtual Data Centers (VDCs) Discuss network pools, external networks, and Tier-0 gateways Showcase VMware Cloud Director integration with VMware vCenter Server© and NSX-T Data Center Describe VMware Cloud Director organizations Understand organization policies Explain how to access an organization using various portals Understand organization VDC Discuss Linked Clone and Fast Provisioning Understand the use cases of Allocation Models VMware Cloud Director User, Roles, and Quota Management Discuss user bundle Describe role-based access Explain custom roles and rights Describe and configure LDAP integration with Active Directory Discuss OIDC authentication methods Describe SAML identity provider Discuss API Access Token and Service Accounts Explain Quota Management and its use cases VMware Cloud Director Virtual Machines and vApps Understand standalone VMs Discuss the VM managing operations Explain VM properties Discuss deployment methods of vApps Discuss the vApp managing operations Discuss the vApp lease policies Understand the vApps and VM actions Explain vApp and VM badges VMware Cloud Director Content Libraries Explain the purpose of catalogs and how to create a catalog organization Define catalog management and sharing catalogs inside and between organizations Explain media in VMware Cloud Director and its usage Discuss vApp templates Understand vApp template operations Describe the purpose and usage of Open Virtualization Format (OVF) Discuss organization VDC templates Discuss Fast Cross vCenter Server vApp Instantiation Utilizing Shared Storage VMware Cloud Director Networking Discuss organization VDC networks List the types of organization VDC networks Describe the edge gateway services Explore the services offered by the edge gateway Discuss the sub-allocation IP pool and its use cases Discuss DHCP, NAT, load balancer, and firewall services on the edge gateway Discuss SNAT, DNAT, NO SNAT, and NO DNAT use cases Explain routing and distributed firewall services Discuss vApp networks List the various types of vApp networks VMware Cloud Director Storage and Compute Describe named disks and shared named disks Demonstrate how to attach and detach a named disk and a shared named disk Describe methods of sharing the named disk Discuss the implications of deleting VMs that have an attached named disk Discuss how VMware Cloud Director VMs and disks are encrypted Explain the storage policy capabilities Demonstrate how VM sizing and placement policies are published Discuss vCenter Server and VMware Cloud Director IOPS storage policies usage Discuss how to enable and use the storage IOPS limitation in VMware Cloud Director Describe the storage policy-supported entities Discuss vGPU in VMware Cloud Director Additional UI Features and Integrated Solutions Explain custom advisories, global search, guided tours, keyboard shortcuts, and quick search Demonstrate the new branding and theming experience Briefly discuss how VMware Cloud Director can be integrated with other solutions

Duration 2 Days 12 CPD hours This course is intended for Cybersecurity analysts and engineers Security operations specialists Overview Successful completion of this instructor-led course with hands-on lab activities should enable participants to: Investigate and manage incidents Describe the Cortex XDR causality and analytics concepts Analyze alerts using the Causality and Timeline Views Work with Cortex XDR Pro actions such as remote script execution Create and manage on-demand and scheduled search queries in the Query Center Create and manage the Cortex XDR rules BIOC and IOC Working with Cortex XDR assets and inventories Write XQL queries to search datasets and visualize the result sets Work with Cortex XDR's external-data collection This instructor-led course teaches you how to use the Incidents pages of the Cortex XDR management console to investigate attacks. It explains causality chains, detectors in the Analytics Engine, alerts versus logs, log stitching, and the concepts of causality and analytics. You will learn how to analyze alerts using the Causality and Timeline Views and how to use advanced response actions, such as remediation suggestions, the EDL service, and remote script execution. Multiple modules focus on how to leverage the collected data. You will create simple search queries in one module and XDR rules in another. The course demonstrate how to use specialized investigation views to visualize artifact-related data, such as IP and Hash Views. Additionally, it provides an introduction to XDR Query Language (XQL). The course concludes with Cortex XDR external-data collection capabilities, including the use of Cortex XDR API to receive external alerts. This class is powered by Cloud Harmonics. Course Outline Module 1 - Cortex XDR Incidents Module 2 - Causality and Analytics Concepts Module 3 - Causality Analysis of Alerts Module 4 - Advanced Response Actions Module 5 - Building Search Queries Module 6 - Building XDR Rules Module 7 - Cortex XDR Assets Module 8 - Introduction to XQL Module 9 - External Data Collection