2829 Trust courses

Duration 5 Days 30 CPD hours This course is intended for This advanced course is for individuals who are experienced AIX system administrators with TCP/IP networking and AIX Logical Volume Manager (LVM) experience, who are responsible for the planning and installation of a PowerHA SystemMirror 7.1 and later cluster on an IBM power systems server running AIX 6.1 or later. The lab exercises are conducted on an AIX 7.1 TL2-level system. Overview Explain what high availability is Outline the capabilities of PowerHA SystemMirror Design and plan a highly available cluster Install and configure PowerHA SystemMirror in the following modes of operation: Single resource group on a primary node with standby node Two resource groups in a mutual takeover configuration Implement the trusted execution feature of AIX 6.1 Configure resource group startup, fallover, and fallback policies Perform system administration tasks for PowerHA Perform customization for PowerHA Perform problem determination and recovery This course is designed to prepare you to perform administration on a highly available cluster using PowerHA SystemMirror for AIX. It introduces concepts; design and planning considerations; installation and configuration; customization; and maintenance. Day 1 Introduction to PowerHA SystemMirror Planning and configuring network and storage Day 2 Configuring applications for PowerHA SystemMirror Configuring a PowerHA SystemMirror cluster Day 3 Cluster validation and testing PowerHA SystemMirror administration Day 4 PowerHA SystemMirror event processing Basic Troubleshooting Day 5 PowerHA SystemMirror installation

Duration 5 Days 30 CPD hours This course is intended for This is an intermediate course for system administrators, database administrators, and other technical individuals, who manage and implement DB2 10 for z/OS. Administrators of DB2 11 for z/OS can acquire a view of the architecture and fundamental processes required to manage a DB2 11 for z/OS subsystem. Course Outline Start and stop the DB2 subsystem Explain the allocation CLIST used at logon for DB2 data sets Use Set SYSPARM command Locate the Command recognition character for the DB2 subsystem Query the system log to gain knowledge about the IPL process and information in the system log when DB2 is initialized or stopped Explore DB2 Address Spaces information Select the DB2 functions that best satisfy your site requirements Explain the use of RACF for DB2 connection security Explain the use of Roles and Trusted Context Implement security procedures for a DB2 environment Describe the components and address space structure of a DB2 subsystem Explain DB2 Program Flow for all environments Invoke and use DB2 TSO Facilities Use the DB2 Catalog to monitor authorizations Increase the size of the Active Log data sets Explain DB2 Logging Use SET LOG SUSPEND and SET LOG RESUME Use DSNJU004 to Print Log Map Interpret the output of the Print Log Map Utility DSNJU004 Use DSNJU003 to rename DB2 data sets Plan for recovery of a BSDS failure Monitor and control DB2 Explain transaction flow in IMS and CICS Describe the CICS and DB2 environment Make use and implement the extended 10-byte RBA and LRSN

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course is as follows: Network Engineers Technicians Overview Upon completing this course, the learner should be able to meet these overall objectives: Fundamental network management concepts and introduce the features of Cisco Prime Infrastructure Manage the inventory with Cisco Prime Infrastructure Map the network using the tools in Cisco Prime Infrastructure Manage user access to tasks, functions, and devices in Cisco Prime Infrastructure Manage the devices and configuration archive in Cisco Prime Infrastructure Work with Cisco AVC, QoS, and Cisco IWAN services using Cisco Prime Infrastructure tools and deploy Cisco TrustSec identity services using Cisco Prime Infrastructure Monitor and troubleshoot your network with Cisco Prime Infrastructure Perform system administration tasks in Cisco Prime Infrastructure In this Cisco Prime Infrastructure training course, you will learn how to design, deploy, operate, and optimize enterprise networks with the Cisco Prime Infrastructure solution (PI). Cisco Prime Infrastructure is part of a Unified Access solution that converges traditional wired and wireless networks into a single network management tool. The Managing Enterprise Networks labs put you in a realistic customer scenario and let you practice what you learned using Cisco Prime Infrastructure 3.7. This MENPI training course?s network management perspective has a heavier lean to the wired side of the network management. We suggest students have a working understanding of networks and networking terminology with regards to CCNA Routing and Switching. Course Outline Module 1: Cisco Prime Infrastructure Overview Module 2: Inventory Management Module 3: Map the Network Module 4: Role-Based Access Control Module 5: Configuration Management Module 6: Compliance Management Module 7: Services Management Module 8: Monitor and Troubleshoot Module 9: System Administration

Duration 2 Days 12 CPD hours This course is intended for Security professionals, System engineers, channel partners, service partners, and end users with 1+ years of experience in implementing IT security technologies (Network, Applications, and Systems) and are also SNSAcertified. Overview The students will learn how to monitor, investigate, analyze, and configure SonicWall Next-Gen firewalls running SonicOS to enable advanced functionality related to Secure and Remote Connectivity, Network Optimization, and Threat Prevention. Upon successful completion of the SNSP program, the students will be able to demonstrate SonicWall product expertise and the application skill sets required to mount a proactive, effective defense against current and evolving network and cyber security threats. A key issue affecting an organization?s business productivity and employee efficiency today is its ability to respond to dynamic changes in the cyber threat landscape. Coming up on the heels of the highly successful SNSA program launched earlier this year, SonicWall now presents the SonicWall Network Security Professional (SNSP) course, an expert-level training and certification program that builds on the enterprise security skills learned in the SNSA course. Previously known as the Network Security Advance Administration (NSAA) course, the revamped SNSP curriculum expands on the topics covered in SNSA and features advanced SonicWall firewall configuration and administration tasks aimed at helping enterprises adapt to dynamic security environments. Relevant changes to the curriculum include an enhanced and deeper scope of SonicOS 6.5.x features and functionality, as well as changes in the learning and delivery methodologies to better balance the professional needs of the students and the business requirements for network and cyber security. Course Outline Course Introduction and Overview Configuring VPN Auto Provisioning Configuring Advanced Routing Configuring Advanced Interface Settings Using SonicOS CLI Configuring Capture Client Capturing and Replaying Packets Configuring DPI-SSL/TLS Server Configuring DPI-SSH Configuring App Rules Configuring App Control Configuring Advanced High Availability Excluding Trusted Content Resolving and Reporting False Positives Configuring Content Filtering Implementing Best Practices

Duration 5 Days 30 CPD hours This course is intended for Software Engineers and DevOps professionals working in an Enterprise developing mission critical line of business applications. Overview By the end of this course, students will be able to: Assess the advantages of a containerized software development & deployment Use Docker engine features necessary for running containerized applications Utilize Swarm and Kubernetes orchestrators to deploy, maintain, and scale a distributed application Describe the essential patterns used in a highly distributed EE application Understand how to configure EE applications for different environments without code changes Produce and containerize scalable, accessible, and fault-tolerant EE applications Apply different debugging and testing techniques to containerized EE applications The Docker Fundamentals + Enterprise Operations Bundle includes the full Docker for Enterprise Operations course as well as the prerequisite Docker Fundamentals course run back to back in a single intensive training experience. The Docker Fundamentals training course features the foundational concepts and practices of containerization on a single Docker node. The course offers learners the opportunity to assimilate basic container orchestration and how to scale Docker across multiple nodes in a simple swarm cluster. This course provides essential foundational knowledge for subsequent Docker courses. As the follow-on to the Docker Fundamentals course, Docker for Enterprise Operations is a role-based course is designed for Docker Operations teams to accelerate their Docker journey in the enterprise. The course covers in-depth core advanced features of Docker EE and best practices to apply these features at scale with enterprise workloads. Platform Availability: Linux, Windows (Fundamentals Only). Introducing Docker Containerization Fundamentals Creating Images Docker Volumes Docker Networking Basics Introduction to Docker Compose Introduction to Swarm Mode Introduction to Kubernetes Secrets Fundamentals Signature Assignment Distributed Application Architecture Sample Application Edit and Continue Debugging Docker Compose Testing Service Discovery Defensive Programming Logging and Error Handling Health Checks Secrets Configuration Management Development Pipeline Overview Universal Control Plane Docker Trusted Registry Repository Automation Build Server

Duration 3 Days 18 CPD hours This course is intended for Security architects Design engineers Network engineers Cisco integrators and partners Overview After taking this course, you should be able to: Describe Cisco Identity-Based Networking Services (IBNS) for providing access control to corporate networks. Describe Extensible Authentication Protocol (EAP) authentication types and methods, and the role of Remote Authentication Dial-In User Service (RADIUS) in EAP communications. Describe how to configure Cisco Catalyst switches, Cisco Wireless LAN Controllers (WLCs), and Cisco ISE for 802.1X operation. Describe how to configure access for non-supplicant devices in an 802.1X deployment. Describe how to plan and deploy Cisco IBNS Networks with Cisco ISE and 802.1X. The Introduction to 802.1X Operations for Cisco Security Professionals (802.1X) v1.0 shows you how to configure and prepare to deploy Cisco© Identity-Based Networking Services (IBNS) solutions based on Cisco Identity Services Engine (ISE), Cisco Catalyst switches, and Cisco Wireless LAN Controllers. You will learn the fundamentals of the 802.1X protocol and configuration, Cisco IBNS, configuring access for non-supplicant devices, Cisco ISE deployment options, architectural components, considerations with 802.1X, and more. You will also gain hands-on experience configuring 802.1X?based network services using the Cisco Identity Services Engine and a Cisco Catalyst switch. Describing Cisco Identity-Based Networking Services Cisco IBNS Overview Authentication, Authorization, and Accounting (AAA) Role in Cisco IBNS Compare Cisco IBNS and Cisco ISE Solutions Explore Cisco IBNS Architecture Components Explore Cisco TrustSec Describing 802.1X EAP Authentication Explore the IEEE 802.1X Standard Explore 802.1X and EAP Explain EAP Methods Describe the Role of RADIUS in EAP Communications Configuring Devices for 802.1X Operation Identify 802.1X Components and Topologies Configure Cisco Catalyst Switch for 802.1X Compare IBNS 1.0 and 2.0 on Cisco Catalyst Switch Configure Cisco WLC for 802.1X Configure Cisco ISE for 802.1X Configure Supplicants for 802.1X Operation Configuring Access for Non-Supplicant Devices Configure Cisco IBNS for Non-Supplicant Devices Explore IBNS 2.0 for Non-Supplicant Devices Configure Cisco Central Web Authentication for Guests Designing Cisco IBNS Networks with Cisco ISE and 802.1X Cisco ISE Architectural Components Introducing the Cisco ISE Bring Your Own Device (BYOD) Process Identify Cisco ISE Deployment Options Identify Component Compatibilities with 802.1X Review 802.1X Design Considerations

Duration 3 Days 18 CPD hours This course is intended for The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services. Overview You will be able to Describe how Artificial (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Demonstrate Understanding of the Artificial Intelligence (AI) Intelligen Agent Description Explain the Benefits of Artificial Intelligence (AI) Describe how we Learn from Data - Functionality, Software and Hardware Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together Describe a ''Learning from Experience'' Agile Approach to Projects Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):- Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI) Ethical and Sustainable Human and Artificial Intelligence (AI) Recall the General Definition of Human and Artificial Intelligence (AI) Describe what are Ethics and Trustworthy Artificial Intelligence (AI) Describe the Three Fundamental Areas of Sustainability and the United Nationïs Seventeen Sustainability Goals Describe how Artificial Intelligence (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI) Artificial Intelligence (AI) and Robotics Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description Describe what a Robot is Describe what an intelligent Robot is Applying the Benefits of Artificial Intelligence (AI) ? Challenges and Risks Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations Explain the Benefits of Artifical Intelligence (AI) Describe the Challenges of Artificial Intelligence (AI) Projects Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects List Opportunities for Artificial Intelligence (AI) Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs) Starting Artificial Intelligence (AI): how to Build a Machine Learning (ML) Toolbox ? Theory and Practice Describe how we Learn from Data - Functionality, Software and Hardware Recall which Rypical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML9 and Artificial Intelligence (AI) AgentsïFunctionality The Management, Roles and Responsibilities of Humans and Machines Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together List Future Directions of Humans and Machines Working Together Describe a ''Learning from Experience'' Agile Approach to Projects

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course is as follows: System engineers Network engineers Technical architects Technical support engineers Cisco integrators and partners Overview Upon successful completion of this course, students will be able to meet these overall objectives: Describe Cisco ISE policies and authentication and authorization process Understand different AAA protocols Understand how Cisco ISE fits into Cisco DNA Center architecture Provide configuration examples of Cisco ISE and TrustSec solutions Describe Cisco ISE integration with Cisco DNA Center and policy enforcement using Security Groups Provide configuration examples for wired, wireless, and VPN network access Understand how inline tagging and SGT Exchange Protocol (SXP) works This course shows you how to deploy the Cisco© Identity Services Engine (ISE) to support the Software-Defined Access (SD-Access) solution within your enterprise networks. You will gain an understanding of how Cisco ISE is utilized by the SD-Access solution to provide security policies across the organization. You will learn Cisco ISE fundamentals and get hands-on practice configuring ISE, policies, AAA client configuration, VPN access, integration, wireless guest access, and more. Cisco ISE Overview Exploring the Cisco Identity Services Engine Examining AAA protocols Examining Authentication Examining Authorization Cisco ISE Guest Access Examining Guest Portal Types Examining Guest User Types Examining AAA Policies for Guest Access Cisco ISE and SD-Access Exploring Cisco SD-Access Examining Cisco ISE for SD-Access Cisco ISE SGT Exchange Protocol SD-Access Fabric and Host Provisioning Security Group Exchange Protocol Additional course details: Nexus Humans Cisco Configuring Cisco ISE Essentials for SD- Access v1.0 (ISESDA) 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 ISE Essentials for SD- Access v1.0 (ISESDA) 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 intended for: Solutions architects Developers Cost-optimization leads System administrators Overview In this course, you will learn to: Explain the cost of core AWS services Determine and predict costs associated with current and future cloud workloads Use strategies and best practices to reduce AWS costs Use AWS tools to manage, monitor, alert, and optimize your AWS spend Apply strategies to monitor service costs and usage Implement governance standards, including resource tagging, account structure, provisioning,permissions, and access This course is for individuals who seek an understanding of how to manage, optimize, and predict costs as you run workloads on AWS. You learn how to implement architectural best practices, explore cost optimization strategies, and design patterns to help you architect cost-efficient solutions on AWS. Module 0: Couse Overview Course introduction Module 1: Introduction to Cloud Financial Management Introduction to Cloud Financial Management Four pillars of Cloud Financial Management Module 2: Resource Tagging Tagging resources Hands-On Lab: Cost optimization: Control Resource Consumption Using Tagging and AWS Config Module 3: Pricing and Cost Fundamentals of pricing AWS Free Tier Volume discounts Savings plans and Reserved Instances Demonstration: AWS Pricing Calculator Module 4: AWS Billing, Reporting, and Monitoring Understanding AWS invoices Reporting and planning AWS Cost Explorer AWS Budgets Demonstration: AWS Billing Console Demonstration: AWS Cost Explorer Demonstration: Trusted Advisor Hands-On Lab: Cost optimization: Deploy Ephemeral Environments Using Amazon EC2 Auto Scaling Module 5: Architecting for Cost: Compute Evolution of compute efficiency Amazon EC2 right-sizing Purchasing options Architect for Amazon EC2 Spot Instance Impact of software licensing Demonstration: Compute Optimizer Demonstration: Spot Instance Advisor Hands-On Lab: Cost optimization: Right Size Amazon EC2 Instances Using Amazon CloudWatch Metrics Module 6: Architecting for Cost: Networking Data transfer costs Understand data costs for different services How to triage network costs Hands-On Lab: Cost optimization: Reduce Data Transfer Costs Using Amazon CloudFront and Endpoints Module 7: Architecting for Cost: Storage Amazon EBS cost, pricing, and best practices Amazon S3 cost, pricing, and best practices Amazon EFS cost, pricing, and best practices Hands-On Lab: Cost optimization: Reduce Storage Costs Using Amazon S3 Lifecycle Management Module 8: Architecting for Cost: Databases Amazon RDS cost, pricing, and best practices Amazon Aurora cost, pricing, and best practices Amazon DynamoDB cost, pricing, and best practices Amazon ElastiCache cost, pricing, and best practices Amazon Redshift cost, pricing, and best practices Module 9: Cost Governance Setting up AWS Organizations AWS Systems Manager Hands-On Lab: Cost optimization: Reduce Compute Costs Using AWS Instance Scheduler Module 10: Course Summary Course review

Duration 1 Days 6 CPD hours This course is intended for This course is designed for business leaders and decision makers, including C-level executives, project and product managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who have a vested interest in the representation of ethical values in technology solutions. Other individuals who want to know more about data ethics are also candidates for this course. This course is also designed to assist learners in preparing for the CertNexus DEBIZ™ (Exam DEB-110) credential. The power of extracting value from data utilizing Artificial Intelligence, Data Science and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we train them to apply ethical principles as they learn from decisions they make? This course provides business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data driven technologies and the impact to an organization which ignores ethical use of technology. Introduction to Data Ethics Defining Data Ethics The Case for Data Ethics Identifying Ethical Issues Improving Ethical Data Practices Ethical Principles Ethical Frameworks Data Privacy Accountability Transparency and Explainability Human-Centered Values and Fairness Inclusive Growth, Sustainable Development, and Well-Being Applying Ethical Principles to Emerging Technology Improving Ethical Data Practices Sources of Ethical Risk Mitigating Bias Mitigating Discrimination Safety and Security Mitigating Negative Outputs Data Surveillance Assessing Risk Ethical Risks in sharing data Applying professional critical judgement Business Considerations Data Legislation Impact of Social and Behavioral Effects Trustworthiness Impact on Business Reputation Organizational Values and the Data Value Chain Building a Data Ethics Culture/Code of Ethics Balancing organizational goals with Ethical Practice Additional course details: Nexus Humans CertNexus Data Ethics for Business Professionals (DEBIZ) 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 CertNexus Data Ethics for Business Professionals (DEBIZ) 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.