6220 Acro courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for This course is intended for system and network administrators responsible for installation, setup, configuration, and administration of the BIG-IP LTM system. This course gives network professionals a functional understanding of BIG-IP Local Traffic Manager, introducing students to both commonly used and advanced BIG-IP LTM features and functionality. Incorporating lecture, extensive hands-on labs, and classroom discussion, the course helps students build the well-rounded skill set needed to manage BIG-IP LTM systems as part of a flexible and high performance application delivery network. Module 1: Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP Configuration Leveraging F5 Support Resources and Tools Module 2: Reviewing Local Traffic Configuration Reviewing Nodes, Pools, and Virtual Servers Reviewing Address Translation Reviewing Routing Assumptions Reviewing Application Health Monitoring Reviewing Traffic Behavior Modification with Profiles Reviewing the TMOS Shell (TMSH) Reviewing Managing BIG-IP Configuration Data Module 3: Load Balancing Traffic with LTM Exploring Load Balancing Options Using Priority Group Activation and Fallback Host Comparing Member and Node Load Balancing Module 4: Modifying Traffic Behavior with Persistence Reviewing Persistence Introducing SSL Persistence Introducing SIP Persistence Introducing Universal Persistence Introducing Destination Address Affinity Persistence Using Match Across Options for Persistence Module 5: Monitoring Application Health Differentiating Monitor Types Customizing the HTTP Monitor Monitoring an Alias Address and Port Monitoring a Path vs. Monitoring a Device Managing Multiple Monitors Using Application Check Monitors Using Manual Resume and Advanced Monitor Timer Settings Module 6: Processing Traffic with Virtual Servers Understanding the Need for Other Virtual Server Types Forwarding Traffic with a Virtual Server Understanding Virtual Server Order of Precedence Path Load Balancing Module 7: Processing Traffic with SNATs Overview of SNATs Using SNAT Pools SNATs as Listeners SNAT Specificity VIP Bounceback Additional SNAT Options Network Packet Processing Module 8: Modifying Traffic Behavior with Profiles Profiles Overview TCP Express Optimization TCP Profiles Overview HTTP Profile Options OneConnect Offloading HTTP Compression to BIG-IP HTTP Caching Stream Profiles F5 Acceleration Technologies Module 9: Selected Topics VLAN, VLAN Tagging, and Trunking Restricting Network Access SNMP Features Segmenting Network Traffic with Route Domains Module 10: Deploying Application Services with iApps Simplifying Application Deployment with iApps Using iApps Templates Deploying an Application Service Leveraging the iApps Ecosystem on DevCentral Module 11: Customizing Application Delivery with iRules and Local Traffic Policies Getting Started with iRules Configuring and Managing Policy Rules Module 12: Securing Application Delivery with LTM Understanding Today?s Threat Landscape Integrating LTM Into Your Security Strategy Defending Your Environment Against SYN Flood Attacks Defending Your Environment Against Other Volumetric Attacks Addressing Application Vulnerabilities with iRules and Local Traffic Policies Detecting and Mitigating Other Common HTTP Threats Module 13: Final Lab Project About the Final Lab Project

Duration 5 Days 30 CPD hours This course is intended for Implmentation Consultants, Business Users, IT Governance Experts, Compliance Managers Overview Discuss the purpose and business use of Process ControlDescribe key features and related harmonization topicsDescribe risk-based internal controlsConfigure Process Control customizing settings and those shared across GRCCreate and manage master dataDiscuss security and authorization requirementsImplement the Process Control solutionUse risk-managed financial compliance practicesPlan and process surveys and testsSet up and maintain Continuous MonitoringIntegrate and use Process Control with Policy ManagementDiscuss operational complianceAggregate deficienciesUse the harmonized reporting frameworkDescribe the use of custom-defined fields and document search This course offers hands-on configuration and implementation of SAP Process Control 10.1, as well as important concepts you will need to know in order to prepare for implementation and ongoing prevention of process risk. Enterprise Goverance, Riskl, and Compliance (eGRC) Risk-Based Approach to Managing Compliance Initiatives Integrated GRC Approach Governance Governance Overview Governance Using Process Control 10.1 Daily Business Use Harmonization Overview Harmonization Concepts Work Centers Setting Up an Entry Page Technical Landscape Configuration Requirements Customizing Central Tasks Shared Master Data and Reports Workflow Authorization Updates Process Control-Specific Customizing Create & Manage Master Data Master Data Overview Setting Up an Organization Hierarchy Setting Up the Account Group Hierarchy Setting Up the Central Process Hierarchy Setting Up the Indirect Entity-Level Control Hierarchy Harmonized Risk Model Uploading Master Data with MDUG Content Lifecycle Management Master Data Change Request Workflow Surveys and Manual Tests Survey and Test Overview Planner Overview Assessment Survey Manual Test Manual Test ? Offline Forms and Data Sheets Disclosure Survey Issue Remediation Risk-Managed Financial Compliance Risk-Based Financial Compliance Materiality Analysis Risk Assessment Control Risk Rating Test Strategy Risk Coverage Analysis Integration with SAP Audit Management Ad Hoc Issues Ad Hoc Issues Integration with SAP Fraud Management Policy Management Policy Management ? Overview Configuring Policy Management Policy Lifecycle Management Continuous Monitoring Continuous Monitoring ? Overview Continuous Monitoring ? Preconfiguration Creating a Data Source Creating a Business Rule Assigning Business Rules to a Control Scheduling a Continuous Monitoring Job Monitoring a Continuous Monitoring Job SAP Queries SAP BW Query Setting Up a Configurable Rule Subscenario Create a Programmed Rule ABAP Reports Process Integration Subscenario SoD Integration Web Service for Continuous Monitoring Event-Based Monitoring SAP HANA Views New CCM Content Upload Capabilities Operational Compliance Overview Operational Compliance Overview and Key Trends CAPA Operational Compliance-Specific Focus in CCM Closing Activies in an ICS Management Cycle Sign-Off Aggregation of Deficiencies Reporting Reports Overview Report Framework Harmonization Dashboard Overview Security & Authorization Security and Authorization ? Overview Authorization Configuration and Setup Implementation Scope and Approach Implementation Scope and Approach Establishing a Compliance Framework Configuring a Multi-Compliance Framework (MCF) Other Process Control Features Custom-Defined Fields Document Search

Duration 1 Days 6 CPD hours This course is intended for Students taking this course are database administrators or prospective database administrators who have experience working with Access for Microsoft 365 and need to learn advanced skills. Overview In this course, you will manage an Access database and add complex database features to improve its usability, efficiency, performance, and security. You will: Share data across applications. Use action, unmatched, and duplicate queries to manage data. Create complex reports and forms. Use macros to improve user interface design. Use VBA to extend database capabilities. Perform database management tasks such as backup, compacting, repairing, performance analysis, checking object dependencies, and documenting. Implement security strategies and distribute a database to multiple users. You've covered many of the basic functions of Microsoft© Access©, and now you're ready to learn advanced Access features such as database management, advanced form design, packaging a database, encrypting a database, preparing a database for multiple-user access, and more. Knowledge of these features separates database professionals from the casual database users or occasional designers.This course is the third part of a three-course series that covers the skills needed to perform basic database design and development in Access.Microsoft© Access© for Office 365?: Part 1 : Focuses on the design and construction of an Access database?viewing, navigating, searching, and entering data in a database, as well as basic relational database design and creating simple tables, queries, forms, and reports.Microsoft© Access© for Office 365?: Part 2 : Focuses on optimization of an Access database, including optimizing performance and normalizing data; data validation; usability; and advanced queries, forms, and reports.Microsoft© Access© for Office 365?: Part 3 (this course): Focuses on managing the database and supporting complex database designs, including import and export of data; using action queries to manage data; creating complex forms and reports; macros and Visual Basic for Applications (VBA); and tools and strategies to manage, distribute, and secure a database.This course may be a useful component in your preparation for the Microsoft Access Expert (Microsoft 365 Apps and Office 2019): Exam MO-500 certification exam. Lesson 1: Importing and Exporting Table Data Topic A: Import and Link Data Topic B: Export Data Topic C: Create a Mail Merge Lesson 2: Using Queries to Manage Data Topic A: Create Action Queries Topic B: Create Unmatched and Duplicate Queries Lesson 3: Creating Complex Reports and Forms Topic A: Create Subreports Topic B: Create a Navigation Form Topic C: Show Details in Subforms and Popup Forms Lesson 4: Creating Access Macros Topic A: Create a Standalone Macro to Automate Repetitive Tasks Topic B: Create a Macro to Program a User Interface Component Topic C: Filter Records by Using a Condition Topic D: Create a Data Macro Lesson 5: Using VBA to Extend Database Capabilities Topic A: Introduction to VBA Topic B: Use VBA with Form Controls Lesson 6: Managing a Database Topic A: Back Up a Database Topic B: Manage Performance Issues Topic C: Document a Database Lesson 7: Distributing and Securing a Database Topic A: Split a Database for Multiple-User Access Topic B: Implement Security Topic C: Convert an Access Database to an ACCDE File Topic D: Package a Database with a Digital Signature

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Data Center engineers Cloud engineers System engineers Field engineers Implementation/operation/support/installation and upgrade specialists IT administrators Network engineers Cloud computing experts Security specialists Cisco integrators and partners Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe items to be aware of before installing a Cisco CSR 1000V, including virtual machine requirements for installing Cisco CSR 1000V, licensing options that are available with Cisco CSR 1000V, supported Cisco IOS XE technologies, and management options for Cisco CSR 1000V. Prepare for installation of Cisco CSR 1000V Series routers. Explain common Cisco IOS XE Command-Line Interface (CLI) commands and conventions that can make it easier to work in the CLI, and describe how you can get help with command syntax and command options. Describe the options you can use to activate the license for Cisco CSR 1000V and activate the license for each option. Troubleshoot issues with Cisco CSR 1000V licenses. Upgrade the Cisco IOS XE software for an existing Cisco CSR 1000V installation. Describe the Call Home feature and its benefits, configure the feature on the Cisco CSR 1000V, including the anonymous reporting option, and display the Call Home configuration. List the different Call Home events that trigger alerts and commands that are executed as a result of the alert. Troubleshoot Cisco CSR 1000V Virtual Machine (VM) issues. Rehost a Cisco CSR 1000V license to a new VM, whether the current Cisco CSR 1000V router is accessible or not. Describe the Virtual Extensible LAN (VXLAN) Layer 2 gateway feature and configure this feature on the Cisco CSR 1000V router. Deploy the Cisco CSR 1000V in a virtual private cloud using Microsoft Azure or Amazon Web Services (AWS). Describe common network operations that the Cisco CSR 1000V supports. Explore programmability support on Cisco CSR 1000V, including APIs, shells, and data models. The Deploying Cloud Connect Solutions with Cisco Cloud Services Router 1000V (CLDCSR) course shows you how to deploy and operate Cisco© Cloud Services Router 1000V (CSR1000V) to provide comprehensive WAN gateway and network services functions including connectivity, routing, and security into virtual and cloud environments. Through expert instruction and hands-on labs, you will learn: Cisco CSR 1000V deployment options and requirements; hypervisor support, licensing models, features and programmability support; and how to implement, integrate, install, manage, and troubleshoot the deployment process and common operation issues.This class will help you:Learn how to use the CSR 1000V Series to extend your enterprise network to public and private cloudsGain hands-on practice acquiring skills in virtual and cloud-based technologies Course Outline Introducing Cisco CSR Product Overview Preparing for Installation Installing Cisco CSR 1000V in VMware Elastic Sky X (ESXi) Environments Booting Cisco CSR 1000V and Accessing the Console Using Cisco IOS XE Software Managing Cisco CSR 1000V Licenses Upgrading the Cisco IOS XE Software Mapping Cisco CSR 1000V Network Interfaces to Virtual Machine Network Interfaces Using GRUB Mode (Bootstrap Program) Configuring Call Home for Cisco CSR 1000V Configuring Virtual CPU (vCPU) Distribution Across Data, Control, and Service Planes Troubleshooting Cisco CSR 1000V Virtual Machine Issues Rehosting a Smart License Supporting the Cisco CSR 1000V Virtual Extensible LAN (VXLAN) Feature Deploying Cisco CSR 1000V in a Virtual Private Cloud Exploring Cisco CSR 1000V Operations Exploring Programmability on Cisco CSR 1000V

Duration 2 Days 12 CPD hours This course is intended for This training is ideally suited for data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities. It will also benefit system administrators and data engineers who wish to harness Elastic Stack's functionalities for efficient system logging, monitoring, and robust data visualization. With a focus on practical application, this course is perfect for those aspiring to solve complex data challenges in real-time environments across diverse industry verticals. Overview This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll explore: New features and updates introduced in Elastic Stack 7.0 Fundamentals of Elastic Stack including Elasticsearch, Logstash, and Kibana Useful tips for using Elastic Cloud and deploying Elastic Stack in production environments How to install and configure an Elasticsearch architecture How to solve the full-text search problem with Elasticsearch Powerful analytics capabilities through aggregations using Elasticsearch How to build a data pipeline to transfer data from a variety of sources into Elasticsearch for analysis How to create interactive dashboards for effective storytelling with your data using Kibana How to secure, monitor and use Elastic Stack's alerting and reporting capabilities The Elastic Stack is a powerful combination of tools for techniques such as distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. Geared for experienced data analysts, IT professionals, and software developers who seek to augment their data processing and analytics capabilities, Working with Elasticsearch will explore how to use Elastic Stack and Elasticsearch efficiently to build powerful real-time data processing applications. Throughout the two-day hands-on course, you?ll explore the power of this robust toolset that enables advanced distributed search, analytics, logging, and visualization of data, enabled by new features in Elastic Stack 7.0. You?ll delve into the core functionalities of Elastic Stack, understanding the role of each component in constructing potent real-time data processing applications. You?ll gain proficiency in Elasticsearch for distributed searching and analytics, Logstash for logging, and Kibana for compelling data visualization. You?ll also explore the art of crafting custom plugins using Kibana and Beats, and familiarize yourself with Elastic X-Pack, a vital extension for effective security and monitoring. The course also covers essentials like Elasticsearch architecture, solving full-text search problems, data pipeline building, and creating interactive Kibana dashboards. Learn how to deploy Elastic Stack in production environments and explore the powerful analytics capabilities offered through Elasticsearch aggregations. The course will also touch upon securing, monitoring, and utilizing Elastic Stack's alerting and reporting capabilities. Hands-on labs, captivating demonstrations, and interactive group activities enrich your learning journey throughout the course. Introducing Elastic Stack What is Elasticsearch, and why use it? Exploring the components of the Elastic Stack Use cases of Elastic Stack Downloading and installing Getting Started with Elasticsearch Using the Kibana Console UI Core concepts of Elasticsearch CRUD operations Creating indexes and taking control of mapping REST API overview Searching - What is Relevant The basics of text analysis Searching from structured data Searching from the full text Writing compound queries Modeling relationships Analytics with Elasticsearch The basics of aggregations Preparing data for analysis Metric aggregations Bucket aggregations Pipeline aggregations Substantial Lab and Case Study Analyzing Log Data Log analysis challenges Using Logstash The Logstash architecture Overview of Logstash plugins Ingest node Visualizing Data with Kibana Downloading and installing Kibana Preparing data Kibana UI Timelion Using plugins

Duration 5 Days 30 CPD hours This course is intended for Students who need to know how to implement and manage Cisco ASA 5500-X. Overview Upon successful completion of this course, students should be able to do the following:? Technology and features of the Cisco ASA? Cisco ASA product family? How ASAs protect network devices from attacks? Bootstrap the security appliance? Prepare the security appliance for configuration via the Cisco Adaptive Security Device Manager (ASDM)? Launch and navigate ASDM? Essential security appliance configuration using ASDM and the command-line interface (CLI)? Configure dynamic and static address translations? Configure access policy based on ACLs? Use object groups to simplify ACL complexity and maintenance? Use the Modular Policy Framework to provide unique policies to specific data flows? Handle advanced protocols with application inspection? Troubleshoot with syslog and tcp ping? Configure the ASA to work with Cisco Secure ACS 5.2 for RADIUS-based AAA of VPNs? Implement site-to-site IPsec VPN? Implement remote access IPsec and SSL VPNs using the Cisco AnyConnect 3.0 Secure Mobility Client? Work with the 5.x Legacy Cisco IPsec VPN client and Anyconnect VPN client? Deploy clientless SSL VPN access, including smart tunnels, plug-ins, and web-type ACLs? Configure access control policies to implement your security policy across all classes of VPN? Configure Active/Standby failover for both firewall and VPN high availability Student will gain the essential skills required to configure, maintain, and operate Cisco ASA 5500-X Series Adaptive Security Appliances based on ASA Software v9.x. Cisco ASA Essentials ? Lesson 1: Evaluating Cisco ASA Technologies ? Lesson 2: Identifying Cisco ASA Families Basic Connectivity and Device Management ? Lesson 1: Preparing the Cisco ASA for Network Integration ? Lesson 2: Managing Basic Cisco ASA Network Settings ? Lesson 3: Configuring Cisco ASA Device Management Features Network Integration ? Lesson 1: Configuring Cisco ASA NAT Features ? Lesson 2: Configuring Cisco ASA Basic Access Control Features Cisco ASA Policy Control ? Lesson 1: Cisco ASA Modular Policy Framework ? Lesson 2: Configuring Cisco ASA Connection Policy Cisco ASA VPN Architecture and Common Components ? Lesson 1: Implementing Profiles, Group Policies, and User Policies ? Lesson 2: Implementing PKI Services Cisco ASA Clientless Remote Access SSL VPN Solutions ? Lesson 1: Deploying Basic Clientless VPN Solutions ? Lesson 2: Deploying Advanced Application Access for Clientless SSL VPNs Cisco AnyConnect Remote Access SSL Solutions ? Lesson 1: Deploying a Basic Cisco AnyConnect Full-Tunnel SSL VPN Solution Cisco ASA Remote Access IPsec VPNs ? Lesson 1: Deploying Cisco Remote Access VPN Clients ? Lesson 2: Deploying Basic Cisco Remote Access IPsec VPN Solutions Cisco ASA Site-to-Site IPsec VPN Solutions ? Lesson 1: Deploying Basic Site-to-Site IPsec VPNs ? Lesson 2: Deploying Advanced Site-to-Site IPsec VPNs Cisco ASA High Availability and Virtualization ? Lesson 1: Configuring Cisco ASA Active/Standby High Availability Labs Lab 1: Prepare the ASA for Administration Lab 2: Fundamental ASA Configuration Lab 3: Network Address Translation (NAT) Lab 4: Basic Access Control Lab 5: Basic Protocol Inspection Lab 6: Licensing, ACS, and Public CA Lab 7: Basic Clientless SSL VPN Lab 8: Clientless SSL VPN - Thin Apps Lab 9: Basic AnyConnect Full Tunnel SSL VPN Lab 10: Remote Access IPSec VPN Lab 11: IPSec Site-to-Site VPN Lab 12: Active/Standby Failover

Duration 5 Days 30 CPD hours This course is intended for Cloud architects, systems engineers, datacenter administrators, and cloud administrators with experience in managed services or managing a service provider environment. Overview By the end of the course, you should be able to meet the following objectives: Understanding NSX-T Data Center and VMware Cloud Director fundamentals List the various NSX-T Data Center components List the use cases and topologies of VMware Cloud Director networks Discuss the VMware Cloud Director provider networking configurations Discuss the VMware Cloud Director tenant networking configurations Discuss NSX Advanced Load Balancer and its components Discuss NSX Advanced Load Balancer configuration and integration with VMware Cloud Director Enable a layer 2 stretched network that spans across multiple VMware Cloud organization VDCs Showcase the importance of the VMware Cloud Director migration tool and its functionality Manage resources from the VMWare Cloud Director console and use VMware vRealize Operations Manager™ In this five-day course, you focus on designing, integrating, configuring, and managing VMware Cloud Director? 10.x with VMware NSX-T© Data Center and VMware NSX© Advanced Load Balancer?. You learn about creating Network Pools and Edge Cluster management. You also learn about creating and managing an external network and creating and managing the organization of VDC, vApp, and data center group networks. Course Introduction Introductions and course logistics Course objectives VMware Cloud Director Data Center Fundamentals Explain NSX-T Data Center and its architecture Discuss various NSX-T Data Center components Describe NSX-T Data Center objects and their creation methods List the various requirement and maximum configuration details Explain NSX-T Data Center and its architecture Discuss various NSX-T Data Center components Describe NSX-T Data Center objects and their creation methods Explain VMware Cloud Director and its architecture List the various requirement and maximum configuration details Discuss VMware Cloud Director pre-requisites and deployment Discuss the use cases and features of VMware Cloud Director List the various requirement and maximum configuration details Discuss the design best practices Provider Configuration Discuss the integration of VMware vCenter Server© with VMware Cloud Director Discuss the integration of NSX-T Data Center with VMware Cloud Director Explain the provider side networking concepts and features Tenant Configuration Discuss the various types of organization VDC networks that can be created using NSX-T Data Center Explain the edge services available under each type of Organization VDC networks Explain what vApp network is Discuss various types of vApp networks Cross VDC networking with NSX-T Explain data center groups Configure cross-VDC networking and L2 stretched networks Configure a distributed firewall for a Data Center Group NSX Advanced Load Balancer Describe the NSX Advanced Load Balancer components and main functions Explain the NSX Advanced Load Balancer key features and benefits Understand and apply a Global Server Load Balancing design framework VMware NSX Migration for VMware Cloud Director Understand the main usage and purpose of the NSX migration for VMware Cloud Director List the supported topology and compatibility matrix List the supported features Understand the environmental prerequisites and how to prepare the edge cluster for bridging Know the logs and error handling exceptions Monitoring VMware Cloud Director Networking Discuss the methods to manage and monitor networking objects from VMware Cloud Director portals Understand the vRealize Operations Manager and vRealize Operations Manager Tenant App overview Discuss how to monitor VMware Cloud Director networking objects using vRealize Operations Manager and vRealize Operations Manager Tenant App Create views and reports Describe the use of vCloud Usage Meter with VMware Cloud Director

Duration 2 Days 12 CPD hours This course is intended for This class is intended for network engineers and network admins that are either using Google Cloud Platform or are planning to do so. The class is also for individuals that want to be exposed to software-defined networking solutions in the cloud. Overview Configure Google VPC networks, subnets, and routers Control administrative access to VPC objects Control network access to endpoints in VPCsInterconnect networks among GCP projects Interconnect networks among GCP VPC networks and on-premises or other-cloud networks Choose among GCP load balancer and proxy options and configure them Use Cloud CDN to reduce latency and save money Optimize network spend using Network TiersConfigure Cloud NAT or Private Google Access to provide instances without public IP addresses access to other services Deploy networks declaratively using Cloud Deployment Manager or Terraform Design networks to meet common customer requirements Configure monitoring and logging to troubleshoot networks problems Learn about the broad variety of networking options on Google Cloud. This course uses lectures, demos, and hands-on labs to help you explore and deploy Google Cloud networking technologies, including Virtual Private Cloud (VPC) networks, subnets, and firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; and Cloud NAT. You'll also learn about common network design patterns and automated deployment using Cloud Deployment Manager or Terraform. Google Cloud VPC Networking Fundamentals Recall that networks belong to projects. Explain the differences among default, auto, and custom networks. Create networks and subnets. Explain how IPv4 addresses are assigned to Compute Engine instances. Publish domain names using Google Cloud DNS. Create Compute Engine instances with IP aliases. Create Compute Engine instances with multiple virtual network. Controlling Access to VPC Networks Outline how IAM policies affect VPC networks. Control access to network resources using service accounts. Control access to Compute Engine instances with tag-based firewall rules. Sharing Networks across Projects Outline the overall workflow for configuring Shared VPC. Differentiate between the IAM roles that allow network resources to be managed. Configure peering between unrelated VPC Networks. Recall when to use Shared VPC and when to use VPC Network Peering. Load Balancing Recall the various load balancing services. Configure Layer 7 HTTP(S) load balancing. Whitelist and blacklist IP traffic with Cloud Armor. Cache content with Cloud CDN. Explain Layer 4 TCP or SSL proxy load balancing. Explain regional network load balancing. Configure internal load balancing. Recall the choices for enabling IPv6 Internet connectivity for Google Cloud load balancers. Determine which Google Cloud load balancer to use when. Hybrid Connectivity Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud. Explain Dedicated Interconnect and Partner Interconnect. Describe the workflow for configuring a Dedicated Interconnect. Build a connection over a VPN with Cloud Router. Determine which Google Cloud interconnect service to use when. Explain Direct Peering and Partner Peering. Determine which Google Cloud peering service to use when. Networking Pricing and Billing Recognize how networking features are charged for. Use Network Service Tiers to optimize spend. Determine which Network Service Tier to use when. Recall that labels can be used to understand networking spend. Network Design and Deployment Explain common network design patterns. Configure Private Google Access to allow access to certain Google Cloud services from VM instances with only internal IP addresses. Configure Cloud NAT to provide your instances without public IP addresses access to the internet. Automate the deployment of networks using Deployment Manager or Terraform. Launch networking solutions using Cloud Marketplace. Network Monitoring and Troubleshooting Configure uptime checks, alerting policies and charts for your network services. Use VPC Flow Logs to log and analyze network traffic behavior.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Duration 3 Days 18 CPD hours This course is intended for This class is intended for the following participants: Cloud architects, administrators, and SysOps/DevOps personnel Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview This course teaches participants the following skills: Understand how software containers work Understand the architecture of Kubernetes Understand the architecture of Google Cloud Platform Understand how pod networking works in Kubernetes Engine Create and manage Kubernetes Engine clusters using the GCP Console and gcloud/ kubectl commands Launch, roll back and expose jobs in Kubernetes Manage access control using Kubernetes RBAC and Google Cloud IAM Managing pod security policies and network policies Using Secrets and ConfigMaps to isolate security credentials and configuration artifacts Understand GCP choices for managed storage services Monitor applications running in Kubernetes Engine This class introduces participants to deploying and managing containerized applications on Google Kubernetes Engine (GKE) and the other services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as pods, containers, deployments, and services; as well as networks and application services. This course also covers deploying practical solutions including security and access management, resource management, and resource monitoring. Introduction to Google Cloud Platform Use the Google Cloud Platform Console Use Cloud Shell Define cloud computing Identify GCPs compute services Understand regions and zones Understand the cloud resource hierarchy Administer your GCP resources Containers and Kubernetes in GCP Create a container using Cloud Build Store a container in Container Registry Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE) Understand how to choose among GCP compute platforms Kubernetes Architecture Understand the architecture of Kubernetes: pods, namespaces Understand the control-plane components of Kubernetes Create container images using Google Cloud Build Store container images in Google Container Registry Create a Kubernetes Engine cluster Kubernetes Operations Work with the kubectl command Inspect the cluster and Pods View a Pods console output Sign in to a Pod interactively Deployments, Jobs, and Scaling Create and use Deployments Create and run Jobs and CronJobs Scale clusters manually and automatically Configure Node and Pod affinity Get software into your cluster with Helm charts and Kubernetes Marketplace GKE Networking Create Services to expose applications that are running within Pods Use load balancers to expose Services to external clients Create Ingress resources for HTTP(S) load balancing Leverage container-native load balancing to improve Pod load balancing Define Kubernetes network policies to allow and block traffic to pods Persistent Data and Storage Use Secrets to isolate security credentials Use ConfigMaps to isolate configuration artifacts Push out and roll back updates to Secrets and ConfigMaps Configure Persistent Storage Volumes for Kubernetes Pods Use StatefulSets to ensure that claims on persistent storage volumes persist across restarts Access Control and Security in Kubernetes and Kubernetes Engine Understand Kubernetes authentication and authorization Define Kubernetes RBAC roles and role bindings for accessing resources in namespaces Define Kubernetes RBAC cluster roles and cluster role bindings for accessing cluster-scoped resources Define Kubernetes pod security policies Understand the structure of GCP IAM Define IAM roles and policies for Kubernetes Engine cluster administration Logging and Monitoring Use Stackdriver to monitor and manage availability and performance Locate and inspect Kubernetes logs Create probes for wellness checks on live applications Using GCP Managed Storage Services from Kubernetes Applications Understand pros and cons for using a managed storage service versus self-managed containerized storage Enable applications running in GKE to access GCP storage services Understand use cases for Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Bigtable, Cloud Firestore, and Bigquery from within a Kubernetes application