6410 Courses in Rowley Regis delivered Live Online

Duration 0.5 Days 3 CPD hours This course is intended for Individuals and organizations seeking a foundational understanding of DevOps Overview Please refer to Overview This course brings a high-level understanding of DevOps, the cultural and professional movement that stresses communication, collaboration, integration, and automation to improve the flow of work between software developers and IT operations professionals. Course introductionWhat is DevOps? Why Now?Emerging DevOps PracticesCultureAutomationLeanMeasurement and MetricsSharingGetting Started: Implementing DevOpsNext Steps

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Deep Learning on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 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 This course provides an immersive learning experience for business and technical professionals who need a thorough understanding of the CMMC program. It does this by taking the point of view of a CMMC Certified Professional. Students might consider taking this course to learn more about the overall CMMC program, how DoD contractors are assessed, and how to help their organizations prepare for a CMMC Assessment. Overview In this course, you will learn about the CMMC Model, framework, context, and application within the DoD, as well as the expectations and requirements imposed upon organizations that do business with the DoD. You will: Identify the threats to the Defense Supply Chain and the established regulations and standards for managing the risk. Identify the sensitive information that needs to be protected within the Defense Supply Chain and how to manage it. Describe how the CMMC Model ensures compliance with federal acquisitions regulations. Identify responsibilities of the Certified CMMC Professional, including appropriate ethical behavior. Establish the Certification and Assessment scope boundaries for evaluating the systems that protect regulated information. Prepare the OSC for an Assessment by evaluating readiness. Use the CMMC Assessment Guides to determine and assess the Evidence for practices. Implement and evaluate practices required to meet CMMC Level 1. Identify the practices required to meet CMMC Level 2. Work through the CMMC Assessment process. The Cybersecurity Maturity Model Certification (CMMC), managed by The Cyber AB (formerly known as the CMMC Accreditation Body or the CMMC-AB), is a program through which an organization's cybersecurity program maturity is measured by their initial and ongoing compliance with applicable cybersecurity practices, as well as their integration of corresponding policies and plans into their overall business operations. Once rule-making has concluded and CMMC 2.0 has been implemented, all organizations providing products or services to the United States Department of Defense (DoD) must comply with the requirements of their applicable CMMC Level. This course provides a complete review of the key elements of this important program. Lesson 1: Managing Risk within the Defense Supply Chain Topic A: Identify Threats to the Defense Supply Chain Topic B: Identify Regulatory Responses against Threats Lesson 2: Handling Sensitive Information Topic A: Identify Sensitive Information Topic B: Manage the Sensitive Information Lesson 3: Ensuring Compliance through CMMC Topic A: Describe the CMMC Model Architecture Topic B: Define the CMMC Program and Its Ecosystem Topic C: Define Self-Assessments Lesson 4: Performing CCP Responsibilities Topic A: Identify Responsibilities of the CCP Topic B: Demonstrate Appropriate Ethics and Behavior Lesson 5: Scoping Certification and Assessment Boundaries Topic A: Use the CMMC Assessment Scope Documentation Topic B: Get Oriented to the OSC Environment Topic C: Determine How Sensitive Information Moves Topic D: Identify Systems in Scope Topic E: Limit Scope Lesson 6: Preparing the OSC Topic A: Foster a Mature Cybersecurity Culture Topic B: Evaluate Readiness Lesson 7: Determining and Assessing Evidence Topic A: Determine Evidence Topic B: Assess the Practices Using the CMMC Assessment Guides Lesson 8: Implementing and Evaluating Level 1 Topic A: Identify CMMC Level 1 Domains and Practices Topic B: Perform a CMMC Level 1 Gap Analysis Topic C: Assess CMMC Level 1 Practices Lesson 9: Identifying Level 2 Practices Topic A: Identify CMMC Level 2 Practices Lesson 10: Working through an Assessment Topic A: Identify Assessment Roles and Responsibilities Topic B: Plan and Prepare the Assessment Topic C: Conduct the Assessment Topic D: Report the Assessment Results Topic E: Conduct the CMMC POA&M Close-Out Assessment

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: • Cisco Unified Communications system channel partners and resellers who are responsible for sales, implementation or administration of a Cisco Unified Contact Center. • System and technical support engineers. • Day 1 and Day 2 support personnel. • Administrative and reporting personnel. Overview Upon completing this course, the learner will be able to meet these overall objectives: • Understand the Cisco Unified CCE solution, architecture, solution options, integrated features, and call flow options. • Understand basic principles and configuration requirements for ACD activity in Cisco Unified CM, Cisco Unified CVP, ICM, and how to access and use the Cisco Finesse Agent Desktop. • Understand requirements and configurations to implement IVR activity in Cisco Unified CVP. • Understand and use administrative features and functions of ICM and implement more complex routing to include Precision Routing, routing from Cisco Unified Communications Manager and routing in a ring-no-answer condition. • Understand basic concepts and terms to access, view, modify reports and use other reporting functions provided by Cisco Unified Intelligence Center. Helps prepare learners to administer the Cisco Unified CCE v11.5 solution. Cisco Unified Contact Center Enterprise Overview Lesson 1: Presenting Cisco Unified Contact Center Enterprise Lesson 2: Cisco Unified CCE Core Components Lesson 3: Cisco Unified CCE Options Lesson 4: Basic Call Flow Models Basic ACD Configurations Lesson 1: Configuring Cisco Unified Communications Manager Lesson 2: Configuring Cisco Unified CVP Lesson 3: Configuring Cisco Unified CCE Lesson 4: Using Cisco Finesse Lesson 5: Using Cisco Unified CCE Script Editor Configuring Cisco Unified CVP for IVR Functionality Lesson 1: Basic IVR Configurations Lesson 2: Basic IVR Scripting using CVP Micro-Applications Extended Functions Lesson 1: ICM User Accounts and Feature Control Sets Lesson 2: Using ICM Utilities Lesson 3: Understanding ICM Variables Lesson 4: Precision Routing Lesson 5: Routing Calls from Cisco Unified CM Lesson 6: Ring-No-Answer Routing Cisco Unified CCE Reporting Lesson 1: Introducing Cisco Unified Intelligence Center Lesson 2: Running and Modifying CUIC Reports Lesson 3: Creating CUIC Reports and Dashboards

Duration 4 Days 24 CPD hours This course is intended for This course is designed for network and software engineers and hold job roles such as: Network administrator Network engineer Network manager System engineer Project manager Network designer Overview After taking this course, you should be able to: Describe mobile network architecture basics List enabling technologies for 5G and describe 5G key use cases Perform basic operations on a Cisco 5G NSA mobile packet core Describe the Cisco 5G Converged SDN Transport Architecture Describe Cisco NFVI and perform basic operations using Cisco ESC and Cisco Virtualized Infrastructure Manager (VIM) Describe Cisco service provider automation and orchestration solutions to deploy and manage 5G network functions Describe the Cisco Ultra Cloud Core architecture and deploy the Cisco SMI Explain the 5G ready distributed Telco DC with Cisco ACI solution Describe the Cisco 5G security architecture The Cisco Service Provider 5G Technologies Foundations (SPMBL100) v1.0 course introduces mobile network components, basic 5G concepts, and features of 5G technology including faster data speeds, higher device capacity, and improved user experience. You will examine the mobile packet core solutions, 5G transport architecture, and Cisco© automation and orchestration tools used in 5G networks. You will also learn about the Cisco 5G Non-standalone (NSA) and the Cisco Ultra Cloud Core 5G standalone (SA) platform solutions, the Cisco 5G converged Software-Defined Networking (SDN) transport architecture, and Cisco edge computing solutions. You will study the Cisco Network Function Virtualization (NFVI) architecture, Cisco Network Services Orchestrator (NSO), and Cisco Elastic Services Controller (ESC). You will learn how 5G is distributed with Telco Data Center (DC) with Cisco Application Centric Infrastructure (Cisco ACI©). And finally, Zero-Touch Provisioning (ZTP), Cisco Crosswork?, and the Cisco 5G security architecture will also be presented. Mobile Network Fundamentals 5G Key Use Cases Examining Mobile Network Components Enabling Technologies for 5G Introduction to 5G NR Characteristics Cloud Radio Access network (RAN) Cisco 5G NSA Solution 5G NSA Basics 5G NSA StarOS Configurations Cisco 5G Converged SDN Transport Architecture Cisco 5G Transport Ready Devices Application Awareness and Network Slicing with Segment Routing Cisco NFV Infrastructure, Cisco Virtualized Network Functions (VNFs), Cisco VIM, and Cisco ESC NFVI and SDN Architecture Overview Cisco VIM Pod Configurations Cisco Service Provider Automation and Orchestration Telemetry Basics ZTP Fundamentals Cisco Ultra Cloud Core Cisco Ultra Cloud Core Basics Kubernetes and Docker Fundamentals 5G Ready Distributed DC with Cisco ACI Cisco ACI in Telco Data Centers 5GC Deployment Mitigating Threats in 5G Introduction to 5G Cybersecurity Risks Mitigating 5G Cybersecurity Risks

Duration 2 Days 12 CPD hours This course is intended for Enterprise Network System Installers System Integrators System Administrators Network Administrators Solutions Designers Overview Upon completion of this course, you will be able to: Identify the various components and architecture of the Cisco SD-WAN solution. Deploy vEdge routers in a secure extensible network. Create templates to aide in the deployment and operation of the secure extensible network. Configure and verify overlay routing in the secure extensible network. Create simple policies to control traffic flow in the secure extensible network. The Cisco SD WAN Operation and Deployment (SDWFND) v1.0 is a 2-day, instructor-led, hands-on course that addresses the Cisco SD-WAN Operations and Deployment functions. Cisco SD-WAN is a new technology, this training covers salient features such as zero-touch provisioning, secure network bring-up, configuration using feature templates, configuration of Overlay Management Protocol (OMP) and policies for network traffic management. Module 1: SD-WAN Solution Components Lesson 1: SD-WAN Solution Overview Lesson 2: SD-WAN Components Lesson 3: Managing SD-WAN Components Module 2: Secure Extensible Network Deployment Lesson 1: Secure Control Plane Operation Lesson 2: Secure Control Plane Deployment Lesson 3: Secure Data Plane Operation Lesson 4: Cloud Deployments and Redundancy Module 3: SD-WAN Template Deployment Lesson 1: Templates Overview Lesson 2: Feature Templates Lesson 3: Device Templates Lesson 4: Attaching Devices to Templates Module 4: SD-WAN Overlay Routing Lesson 1: Overlay Routing Overview Lesson 2: OMP Route Advertisements Lesson 3: OMP Route Redistribution and Network Segmentation Lesson 4: Configuring and Verifying Overlay Routing Module 5: SD-WAN Policies and QoS Lesson 1: Policy Overview and Framework Lesson 2: vSmart Policy Operation and Construction Lesson 3: Forwarding and QoS Overview Lesson 4: Configuring and Monitoring QoS Forwarding Lab outline Lab 1: Manage and Monitor SD-WAN Components Lab 2: Deploy and Verify SD-WAN vEdge Routers Lab 3: Deploy SD-WAN Templates Lab 4: SD-WAN Overlay Routing Lab 5: SD-WAN Policies

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Technical professionals who are responsible for installation, deployment, and maintenance of the Cisco ONS 15454 MSTP network Network operations, planners, and designers Network operations engineers Overview Upon completing this course, the learner will be able to meet these overall objectives: Connect to a Cisco ONS 15454 MSTP chassis using Cisco Transport Controller (CTC) Identify Node configurations according to card population Provision DWDM circuits using the Cisco Transport Controller (CTC) Conduct performance monitoring, alarm verification, and fault isolation Provision M12 WSS in linear and M6 SMR nodes in ring topologies Configuration options for the any rate muxponder and crossponder Perform Raman amplifier initialization Isolate optical network issues In this course, you will learn the skills necessary to deploy a Cisco Network Convergence System (NCS) 2000 Series network. You will also learn how to perform node turnup. The course covers three shelf types, the Cisco ONS 15454 M12 Multiservice Transport Platform (MSTP), NCS 2006, and NCS 2002. You will learn how to deploy linear and ring dense-wavelength-division-multiplexing (DWDM) topologies. The course covers multiplexer-demultiplexer cards, Erbium-doped-fiber amplifier cards, Raman amplifiers, transponder cards, and the newest Cisco Any Rate muxponder cards and crossponder cards. These cards are used in terminal, amplifier, and reconfigurable optical add-drop multiplexer (ROADM) node configurations. You configure wavelength-selective switch (WSS) linear and single-module ROADM (SMR) rings. This Optical Technical Training Intermediate course covers 10-gigabit unprotected circuits and 10-gigabit protection using Y-cable, optical channel transport unit-2 (OTU-2), and protection switch module (PSM) cards. Learn more about this NCS 2000 training course below. Course Outline Lesson 1: CTC Operations Lesson 2: MSTP Topologies Lesson 3: Shelf and Card Installation Lesson 4: Fiber jumper installation Lesson 5: Linear Configurations Lesson 6: Node Turn-Up Lesson 7: Optical Channel Network Connection Circuits Lesson 8: Transponder and Optical Channel Client Connection Circuits Lesson 9: Multishelf Lesson 10: MSTP M6 SMR-Based Rings Lesson 11: 10-Gigabit Muxponder and Transponder Cards Lesson 12: 10-Gigabit with Y-Cable Protection Lesson 13: Alternative 10-GB Protection (PSM and OTU-2) Lesson 14: Any Rate Muxponder and Crossponder Lesson 15: Raman Amplifier Lesson 16: 40- and 100-Gigabit Transponder and Muxponder Lesson 17: Troubleshooting Additional course details: Nexus Humans Cisco Optical Technology Intermediate (OPT200) 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 Optical Technology Intermediate (OPT200) 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 ideal for developers and engineers including: Cloud administrators Cloud solution architects Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview After completing the course, you should be able to: Explain business and technical challenges of going to the cloud Understand benefits of an application-centric hybrid cloud multicloud management platform Navigate Cisco CloudCenter Suite architecture Understand Cisco CloudCenter Suite administrative capabilities including cloud management, multitenancy, governance, and policy enforcement Describe application lifecycle management and provisioning in cloud Describe how to use Cisco CloudCenter Suite to manage the workloads in multicloud The course, Mulitcloud Management with Cisco© CloudCenter Suite (CLDCCS) v1.0 is an intensive training course that teaches you to securely design, automate, and deploy applications across multiple clouds while optimizing cost and compliance with comprehensive reporting, visibility, and policy-enforcement. Through a combination of lessons with hands-on lab exercises, you will learn to simplify the lifecycle management of multicloud applications, workflows, and their infrastructure Understanding Cloud Transitions Overview of Traditional IT Introducing Cisco CloudCenter Suite Cisco CloudCenter Suite Definition Setting Up Cisco CloudCenter Workload Manager Artifact Repository Overview and Configuration Understanding User Administration and Multitenancy in Cisco CloudCenter Suite Cisco CloudCenter Suite User Roles Grasping Application Modeling in Cisco CloudCenter Workload Manager Model an Application Identifying Resource Placement Callouts and Lifecycle Actions in Cisco CloudCenter Workload Manager Resource Placement and Validation Callout Understanding Application Deployment Framework in Cisco CloudCenter Workload Manager Workload Manager Application Parameters Exploring Application Services in Cisco CloudCenter Workload Manager Application Services Framework Integrating Cisco CloudCenter Workload Manager with Cisco Application-Centric Infrastructure Configure CloudCenter Workload Manager for Cisco ACI Introducing Application Management in Cisco CloudCenter Workload Manager Cisco CloudCenter Workload Manager Actions Library Exploring Advanced Features in CloudCenter Workload Manager Scheduling an Application in Cisco CloudCenter Workload Manager Comprehending Policies and Tagless Governance in CloudCenter Workload Manager Cisco CloudCenter Workload Manager Policies Introducing Action Orchestrator and Cost Optimizer in Cisco CloudCenter Suite Action Orchestrator in Cisco CloudCenter Suite Lab outline Explore Cisco CloudCenter Suite Admin GUI Discover Cisco CloudCenter Workload Manager GUI Create Cisco CloudCenter Workload Manager Repository Design Deployment Environments in Cisco CloudCenter Workload Manager Create Images in Cisco CloudCenter Workload Manager Form Cost Bundles and Usage Plans in Cisco CloudCenter Workload Manager Explore Multitenancy in Cisco CloudCenter Suite Model and Deploy Two-Tier Application Model and Deploy Multitier Application Perfect and Arrange Multitier Application on Docker Model and Deploy Application on Kubernetes Cloud Deploy Application in Hybrid Cloud Arrange Application Using Automated Resource Placement Perform Lifecycle Actions on Deployed Applications Create User-Defined Parameters and Explore Macros Understand Application Services in Cisco CloudCenter Workload Manage Benchmark, Schedule, and Share Applications in Cisco CloudCenter Workload Manager Continuous Integration/Continuous Delivery (CI/CD) Project Board Manage Policies in Cisco CloudCenter Workload Manager Manage System Tags and Governance in Cisco CloudCenter Workload Manager Explore Action Orchestrator Explore Cost Optimizer Additional course details: Nexus Humans Cisco Multicloud Management with Cisco CloudCenter Suite (CLDCCS) v1.0 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 Multicloud Management with Cisco CloudCenter Suite (CLDCCS) v1.0 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course is as follows:Anyone interested in knowing about DNA Center and SD-AccessPersonnel involved in SD-Access Design and ImplementationNetwork Operations team with SD-Access solutionNetwork admin staff that deal with User AccessChannel Partner SEs and other sales supportNetwork Access Control administrationNetwork AdministratorsNetwork ArchitectsNetwork Engineers Overview Upon completing this course, the learner will be able to meet these overall objectives:Know and understand Cisco?s SD-Access concepts, features, benefits, terminology and the way this approach innovates common administrative tasks on today?s networks.Differentiate and explain each of the building blocks of SD-Access SolutionExplain the concept of ?Fabric? and the different node types that conform it (Fabric Edge Nodes, Control Plane Nodes, Border Nodes)Describe the role of LISP in Control Plane and VXLAN in Data Plane for SD-Access SolutionUnderstand the role of DNA Center as solution orchestrator and Intelligent GUIBe familiar with workflow approach in DNA Center and its 4 Steps: Design, Policy, Provision and Assurance DNA Center and SD-Access offer Cisco?s next-generation programmable digital network to help automate common network access security features and streamline the redundant, complex configuration required to allow different groups of users access to the network infrastructure. This network security training course allows network administrators to quickly allow differentiated access for end users on the network while allowing the network to react automatically to day zero and other types of attacks. Introduction to Cisco?s Software Defined Access (SD-Access) SD-Access Overview SD-Access Benefits SD-Access Key Concepts SD-Access Main Components SD-Access Campus Fabric The concept of Fabric Node types Fabric Edge Nodes Control Plane Nodes Border Nodes LISP as protocol for Control Plane VXLAN as protocol for Data Plane Concept of Virtual Network Fabric-enabled WLAN DNA Center and Workflow for SD-Access Introduction to DNA Center Workflow for SD-Access in DNA Center Integration with Cisco ISE for Policy Enforcement Integration with Cisco NDP for Analytics and Assurance Relationship with APIC-EM controller DNA Center Workflow First Step - Design Creating Enterprise and Sites Hierarchy Discuss and Demonstrate General Network Settings Loading maps into the GUI IP Address Administration Administering Software Images Network Device Profiles DNA Center Workflow Second Step - Policy 2-level Hierarchy Policy Types ISE Integration with DNA Center Cross Domain Policies DNA Center Workflow Third Step - Provision Devices Onboarding Fabric Domains Adding Nodes DNA Center Workflow Fourth Step ? Assurance Introduction to Analytics NDP Fundamentals Overview of DNA Assurance Components of DNA Assurance DNA Center Assurance Dashboard Implementing WLAN in SD-Access Solution WLAN Integration Strategies in SD-Access Fabric SD-Access Wireless Architecture Sample Design for SD-Access Wireless Campus Fabric External Connectivity for SD-Access Enterprise Sample Topology for SD-Access Role of Border Nodes Types of Border Nodes Single Border vs. Multiple Border Designs Collocated Border and Control Plane Nodes Distributed (separated) Border and Control Plane Nodes