56649 Courses delivered Online

Duration 4 Days 24 CPD hours This course is intended for IS Security Officers Privacy Officers Health IS Managers Risk Managers Information Security Managers Compliance and Privacy Officers Overview Upon completion, the student will be ready to take the Certified Healthcare Information Systems Security Practitioner exam by mile2. In addition, at the end of the CHISSP course, the student will be versed with best practices in the healthcare industry and will be able to establish a framework with current best practices in respects to privacy, regulation and risk management. The Certified Healthcare IS Security Practitioner, C)HISSP certification course covers the skills and knowledge to implement the best IT healthcare practices, as well as, regulatory compliance and standards in the healthcare industry. Because of growing industry regulations and privacy requirements in the healthcare industry, the C)HISSP was developed by Mile2. Graduates of this course have become vital in managing and protecting healthcare data and are tasked to protect patient information by implementing, managing, and assessing proper IT controls for patient health information integrity. Course Outline Intro to the Healthcare Industry Regulatory Environment Healthcare Privacy and Security Policies Information Governance Risk Management Third-Party Risk Management

Duration 3 Days 18 CPD hours This course is intended for Attendee roles might include: Software Developers/Programmers Data Scientists Machine Learning Engineers AI Researchers User Interface (UI) and User Experience (UX) Designers Technical Product Managers Technical Team Leads Overview Working in an interactive learning environment, led by our engaging AI expert you'll: Develop a strong foundational understanding of generative AI techniques and their applications in software development. Gain hands-on experience working with popular generative AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer models. Master the use of leading AI libraries and frameworks, such as TensorFlow, Keras, and Hugging Face Transformers, for implementing generative AI models. Acquire the skills to design, train, optimize, and evaluate custom generative AI models tailored to specific software development tasks. Learn to fine-tune pre-trained generative AI models for targeted applications and deploy them effectively in various environments, including cloud-based services and on-premises servers. Understand and address the ethical, legal, and safety considerations of using generative AI, including mitigating biases and ensuring responsible AI-generated content. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Generative AI represents an exhilarating frontier in artificial intelligence, specializing in the creation of new data instances, imitation of real data, and content generation. Its remarkable capabilities facilitate automated content creation, enriched user experiences, and groundbreaking solutions across diverse industries, ultimately fueling efficiency and transcending technological limits. By harnessing the power of generative AI, developers can craft dynamic content, produce code and documentation, refine user interfaces, and devise customized recommendations, empowering them to construct highly efficient and custom solutions for a wide range of applications. Designed for experienced programmers, Turbocharge Your Code! Generative AI Boot Camp for Developers is a three-day workshop-style course that teaches you the latest skills and tools required to master generative AI models, transforming the way you approach software development. In today's fast-paced technological landscape, generative AI has emerged as a game-changer, with leading companies like NVIDIA, OpenAI, and Google leveraging its capabilities to push the boundaries of innovation. By learning how to harness the power of generative models such as GANs, VAEs, and Transformer models, you will be able to generate code, documentation, and tests, enhance user interfaces, and create dynamic content that adapts to user needs. Our comprehensive curriculum covers everything from the fundamentals of generative AI to advanced techniques and ethical considerations, including hands-on labs where you will develop and deploy custom models using state-of-the-art AI tools and libraries like TensorFlow and Hugging Face Transformers. Throughout the course you'll focus on practical application and collaboration, building confidence with personalized guidance and real-time feedback from our expert live instructor. Upon completion, you will be equipped with the knowledge and experience necessary to develop and implement innovative generative AI models across various industries, improving existing products, creating new applications, and gaining highly-valuable skills in the rapidly advancing field of AI. Additional course details: Nexus Humans Turbocharge Your Code! Generative AI Boot Camp for Developers (TTAI2305) 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 Turbocharge Your Code! Generative AI Boot Camp for Developers (TTAI2305) 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 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 5 Days 30 CPD hours This course is intended for This course is designed for network and software engineers interested in automation and programmability and who hold job roles such as: Account manager Consulting systems engineer Network administrator Network engineer Network manager Sales engineer Systems engineer Technical solutions architect Wireless design engineer Wireless engineer Overview This course will help you: Gain the high-demand knowledge and skills to implement automation, streamline container orchestration, and enhance scalability Learn the skills to maximize the lightweight design of containers to scale more quickly and allow more responsiveness to website traffic load Prepare for the 300-910 DEVOPS exam What to expect in the exam The 300-910 DEVOPS exam certifies your knowledge and skills with DevOps. Key DevOps practices include deployment automation that enables configuration, management, and scalability of cloud microservices and infrastructure processes on Cisco platforms. This course teaches you how to automate application deployment, enable automated configuration, enhance management, and improve scalability of cloud microservices and infrastructure processes on Cisco© platforms. You will also learn how to integrate Docker and Kubernetes to create advanced capabilities and flexibility in application deployment. This course prepares you for the 300-910 Implementing DevOps Solutions and Practices Using Cisco Platforms (DEVOPS) certification exam. Course Outlines ITRODUCING THE DEVOPS MODEL INTRODUCING CONTAINERS PACKAGING AN APPLICATION USING DOCKER DEPLOYING A MULTITIER APPLICATION INTRODUCING CI/CD BUILDING THE DEVOPS FLOW VALIDATING THE APPLICATION BUILD PROCESS BUILDING AN IMPROVED DEPLOYMENT FLOW EXTENDING DEVOPS PRACTICES TO THE ENTIRE INFRASTRUCTURE IMPLEMENTING ON-DEMAND TEST ENVIRONMENTS AT THE INFRASTRUCTURE LEVEL MONITORING IN NETDEVOPS ENGINEERING FOR VISIBILITY AND STABILITY SECURING DEVOPS WORKFLOWS EXPLORING MULTICLOUD STRATEGIES EXAMINING APPLICATION AND DEPLOYMENT ARCHITECTURES DESCRIBING KUBERNETES INTEGRATING MULTIPLE DATA CENTER DEPLOYMENTS WITH KUBERNETES MONITORING AND LOGGING IN KUBERNETES Additional course details: Nexus Humans Cisco Implementing DevOps Solutions and Practices Using Cisco Platforms (DevOps) 1.0 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 Implementing DevOps Solutions and Practices Using Cisco Platforms (DevOps) 1.0 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 5 Days 30 CPD hours This course is intended for Storage and virtual infrastructure consultants, solution architects, and administrators who are responsible for production support and administration of VMware vSAN [v7] Overview By the end of the course, you should be able to meet the following objectives: Describe vSAN concepts Detail the underlying vSAN architecture and components Explain the key features and use cases for vSAN Identify requirements and planning considerations for vSAN clusters Describe the different vSAN deployment options Explain how to configure vSAN fault domains Detail how to define and create a VM Storage policy Discuss the impact of vSAN storage policy changes Describe vSAN storage space efficiency Explain how vSAN encryption works Identify requirements to configure vSAN iSCSI target Detail HCI Mesh technology and architecture Detail vSAN file service architecture and configuration Explain the use cases of vSAN Direct Describe how to setup stretched and two-node vSAN clusters Explain the importance vSAN node hardware compatibility Describe the use of VMware vSphere Lifecycle Manager™ to automate driver and firmware installations Detail vSAN resilience and data availability Discuss the vSAN cluster backup methodology Describe the vSAN maintenance mode and data evacuation options Define the steps to shut down a vSAN cluster for maintenance Explain how to use proactive tests to check the integrity of a vSAN cluster Use VMware Skyline Health™ for monitoring vSAN health Apply a structured approach to troubleshoot vSAN cluster configuration and operational problems During this five-day, intensive course, you gain the knowledge, skills, and tools to plan and deploy a VMware vSAN? cluster. You learn about managing and operating vSAN. This course focuses on building the required skills for common Day-2 vSAN administrator tasks such as vSAN node management, cluster maintenance, security operations, and advanced vSAN cluster operations.You also focus on learning the tools and skills necessary to troubleshoot vSAN 7 implementations and gain practical experience with vSAN troubleshooting concepts through the completion of instructor-led activities and hands-on lab exercises.This course is a combination of the following courses: VMware vSAN: Plan and Deploy, VMware vSAN: Management and Operations, and VMware vSAN: Troubleshooting. Course Introduction Introductions and course logistics Course objectives Introduction to vSAN Describe vSAN architecture Describe the vSAN software components: CLOM, DOM, LSOM, CMMDS, and RDT Identify vSAN objects and components Describe the advantages of object-based storage Describe the difference between All-Flash and Hybrid vSAN architecture Explain the key features and use cases for vSAN Discuss the vSAN integration and compatibility with other VMware technologies Planning a vSAN Cluster Identify requirements and planning considerations for vSAN clusters Apply vSAN cluster planning and deployment best practices Determine and plan for storage consumption by data growth and failure tolerance Design vSAN hosts for operational needs Identify vSAN networking features and requirements Describe ways of controlling traffic in a vSAN environment Recognize best practices for vSAN network configurations Deploying a vSAN Cluster Recognize the importance of hardware compatibility Ensure the compatibility of driver and firmware versioning Use tools to automate driver validation and installation Apply host hardware settings for optimum performance Use vSphere Life Cycle Manager to perform upgrades Deploy and configure a vSAN Cluster using Cluster Quickstart wizard Manually configure a vSAN Cluster using vSphere Client Explain and configure vSAN fault domains Using vSphere HA with vSAN Understand vSAN Cluster maintenance capabilities Describe the difference between implicit and explicit fault domains Create explicit fault domains vSAN Storage Policies Describe a vSAN Object Describe how objects are split into components Explain the purpose of witness components Explain how vSAN stores large objects View object and component placement on the vSAN Datastore Explain how storage policies work with vSAN Define and create a virtual machine storage policy Apply and modify virtual machine storage policies Change virtual machine storage policies dynamically Identify virtual machine storage policy compliance status vSAN Resilience and Data Availability Describe and configure the Object Repair Timer advanced option Plan disk replacement in a vSAN cluster Plan maintenance tasks to avoid vSAN object failures Recognize the importance of managing snapshot utilization in a vSAN cluster Configuring vSAN Storage Space Efficiency Discuss Deduplication and Compression techniques Understand Deduplication and Compression overhead Discuss Compression only mode Configure Erasure Coding Configure swap object Thin Provisioning Discuss Reclaiming Storage Space with SCSI UNMAP Configure TRIM/UNMAP vSAN Security Operations Identify differences between VM encryption and vSAN encryption Perform ongoing operations to maintain data security Describe the workflow of Data-in Transit encryption Identify the steps involved in replacing Key Management Server Introduction to Advanced vSAN Configurations Identify requirements to configure vSAN iSCSI target Detail HCI Mesh technology and architecture Detail vSAN File Service architecture and configuration Explain the use cases of vSAN Direct vSAN Cluster Maintenance Perform typical vSAN maintenance operations Describe vSAN maintenance modes and data evacuation options Assess the impact on cluster objects of entering maintenance mode Determine the specific data actions required after exiting maintenance mode Define the steps to shut down and reboot hosts and vSAN clusters Use best practices for boot devices Replace vSAN Nodes vSAN Stretched and Two Node Clusters Describe the architecture and uses case for stretched clusters Detail the deployment and replacement of a vSAN Witness node Describe the architecture and uses case for two-node clusters Explain the benefits of vSphere HA and vSphere Site Recovery Manager in a vSAN stretched cluster Explain storage policies for vSAN stretched cluster vSAN Cluster Monitoring Describe how the Customer Experience Improvement Program (CEIP) enables VMware to improve products and services Use vSphere Skyline Health for monitoring vSAN Cluster Health Manage alerts, alarms, and notifications related to vSAN in vSphere Client Create and configure custom alarms to trigger vSAN health issues Use IO Insight metrics for monitoring vSAN performance Analyse vsantop performance metrics Use vSAN Proactive Test to detect and diagnose cluster issues vSAN Troubleshooting Methodology Use a structured approach to solve configuration and operational problems Apply troubleshooting methodology to logically diagnose faults and optimize troubleshooting efficiency vSAN Troubleshooting Tools Use Skyline Health for vSAN to identify and correct issues in VMware vSAN Discuss the ways to run various command-line tools Discuss the ways to access VMware vSphere ESXi Shell Use commands to view, configure, and manage your VMware vSphere environment Discuss the esxcli vsan namespace commands Use log files to help vSAN troubleshooting Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSAN: Fast Track (v7) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware vSAN: Fast Track (v7) 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 Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform Overview This course teaches participants the following skills: Use best practices for application development. Choose the appropriate data storage option for application data. Implement federated identity management. Develop loosely coupled application components or microservices. Integrate application components and data sources. Debug, trace, and monitor applications. Perform repeatable deployments with containers and deployment services. Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment. Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Best Practices for Application Development Code and environment management. Design and development of secure, scalable, reliable, loosely coupled application components and microservices. Continuous integration and delivery. Re-architecting applications for the cloud. Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK. Lab: Set up Google Client Libraries, Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials. Overview of Data Storage Options Overview of options to store application data. Use cases for Google Cloud Storage, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner. Best Practices for Using Cloud Firestore Best practices related to using Cloud Firestore in Datastore mode for:Queries, Built-in and composite indexes, Inserting and deleting data (batch operations),Transactions,Error handling. Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow. Lab: Store application data in Cloud Datastore. Performing Operations on Cloud Storage Operations that can be performed on buckets and objects. Consistency model. Error handling. Best Practices for Using Cloud Storage Naming buckets for static websites and other uses. Naming objects (from an access distribution perspective). Performance considerations. Setting up and debugging a CORS configuration on a bucket. Lab: Store files in Cloud Storage. Handling Authentication and Authorization Cloud Identity and Access Management (IAM) roles and service accounts. User authentication by using Firebase Authentication. User authentication and authorization by using Cloud Identity-Aware Proxy. Lab: Authenticate users by using Firebase Authentication. Using Pub/Sub to Integrate Components of Your Application Topics, publishers, and subscribers. Pull and push subscriptions. Use cases for Cloud Pub/Sub. Lab: Develop a backend service to process messages in a message queue. Adding Intelligence to Your Application Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API. Using Cloud Functions for Event-Driven Processing Key concepts such as triggers, background functions, HTTP functions. Use cases. Developing and deploying functions. Logging, error reporting, and monitoring. Managing APIs with Cloud Endpoints Open API deployment configuration. Lab: Deploy an API for your application. Deploying Applications Creating and storing container images. Repeatable deployments with deployment configuration and templates. Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments. Execution Environments for Your Application Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run. Lab: Deploying your application on App Engine flexible environment. Debugging, Monitoring, and Tuning Performance Application Performance Management Tools. Stackdriver Debugger. Stackdriver Error Reporting. Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting. Stackdriver Logging. Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance.

Duration 0.5 Days 3 CPD hours This course is intended for This course is intended for: Line of Business (LoB) owners, IT leaders, and executives Overview In this course, you will learn to: Explain the role of information technology (IT) in an organization for business transformation Explain the customer value proposition for using the cloud across industries Define key characteristics of cloud computing Explain the cloud business model Identify key security practices of cloud computing Frame the cloud business value using the Cloud Value Framework In this course, you will learn the fundamental concepts of cloud computing and how a cloud strategy can help companies meet business objectives. It explores the advantages and possibilities of cloud computing. It also introduces addresses concepts such as security and compliance to help facilitate better discussions with line of business (LOB) professionals, information technology (IT) LoB, IT leaders, and executives. Module 1: Course Introduction Course Introduction Module 2: Information Technology for Business Transformation Role of IT in an organization for business transformation Brief history of IT Legacy approach to IT What drives customers to move from traditional infrastructure to the cloud Module 3: Cloud Computing Define cloud computing Key characteristics of cloud technology The cloud business model Key security practices within the cloud Module 4: Business Value of the Cloud The customer value proposition Identify who is using cloud computing Industry trends Customer examples Module 5: The Cloud Value Framework Introduction to the Cloud Value Framework Cost Savings Staff Productivity Operational Resilience Business Agility Module 6: Business Value Activity Business Value Activity Additional course details: Nexus Humans AWS Cloud Essentials for Business Leaders 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 AWS Cloud Essentials for Business Leaders 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 Risk managersBusiness Process OwnersBusiness Finance ManagersBusiness Risk ManagersRegulatory Compliance ManagersProject ManagementPersons responsible for information security or conformity within an organization Overview To understand the concepts, approaches, methods and techniques allowing an effective risk managementaccording to ISO 31000To understand the relationship between the risk management and the compliance with the requirements ofdifferent stakeholders of an organizationTo acquire the competence to implement, maintain and manage an ongoing risk management program accordingto ISO 31000To acquire the competence to effectively advise organizations on the best practices in risk management In this three-day intensive course participants develop the competence to master a model for implementing risk management processes throughout their organization using the ISO 31000:2009 standard as a reference framework. Day 1 Introduction to the Risk Management framework according to ISO 31000 Concepts and definitions related to Risk Management Risk Management standards, frameworks and methodologies Implementation of a Risk Management framework Understanding an organization and its context Day 2 Risk identification and assessment, risk evaluation, treatment, acceptance, communication and surveillance according to ISO 31000 Risk identification Risk analysis and risk evaluation Risk treatment Risk acceptance and residual risk management Risk communication and consultation Risk monitoring and review Day 3 Risk assessment methodologies according to ISO 31000 and Certification Exam Presentation of risk assessment methodologies Certification Exam

Duration 4 Days 24 CPD hours This course is intended for Security-operations (SecOps), or security, orchestration, automation, and response (SOAR) engineers, managed security service providers (MSSPs), service delivery partners, system integrators, and professional services engineers Overview This training is designed to enable a SOC, CERT, CSIRT, or SOAR engineer to start working with Cortex XSOAR integrations, playbooks, incident-page layouts, and other system features to facilitate resource orchestration, process automation, case management, and analyst workflow. The course includes coverage of a complete playbook-development process for automating a typical analyst workflow to address phishing incidents. This end-to-end view of the development process provides a framework for more focused discussions of individual topics that are covered in the course. The Cortex? XSOAR 6.8: Automation and Orchestration (EDU-380) course is four days of instructor-led training that will help you: Configure integrations, create tasks, and develop playbooks Build incident layouts that enable analysts to triage and investigate incidents efficiently Identify how to categorize event information and map that information to display fields Develop automations, manage content, indicator data, and artifact stores, schedule jobs, organize users and user roles, oversee case management, and foster collaboration This class is powered by Cloud Harmonics. Course Outline Module 1 - Core Functionality and Feature Sets Module 2 - Enabling and Configuring Integrations Module 3 - Playbook Development Module 4 - Classification and Mapping Module 5 - Layout Builder Module 6 - Solution Architecture Module 7 - Docker Module 8 - Automation Development and Debugging Module 9 - The Marketplace and Content Management Module 10 - Indicators and Threat Intelligence Management Module 11 - Jobs and Job Scheduling Module 12 - Users and Role-Based Access Controls (RBAC) Module 13 - Integration Development Additional course details: Nexus Humans Palo Alto Networks: Cortex XSOAR 6.8: Automation and Orchestration(EDU-380) 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 Palo Alto Networks: Cortex XSOAR 6.8: Automation and Orchestration(EDU-380) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for System administrators and security operations personnel, including analysts and managers Overview By the end of the course, you should be able to meet the following objectives: Describe the components and capabilities of the Carbon Black EDR server Identify the architecture and data flows for Carbon Black EDR communication Describe the Carbon Black EDR server installation process Manage and configure the Carbon Black EDR sever based on organizational requirements Perform searches across process and binary information Implement threat intelligence feeds and create watchlists for automated notifications Describe the different response capabilities available from the Carbon Black EDR server Use investigations to correlate data between multiple processes This course teaches you how to use the VMware Carbon Black© EDR? product and leverage the capabilities to configure and maintain the system according to your organization?s security posture and policies. This course provides an in-depth, technical understanding of the Carbon Black EDR product through comprehensive coursework and hands-on scenario-based labs. Course Introduction Introductions and course logistics Course objectives Planning and Installation Hardware and software requirements Architecture Data flows Server installation review Installing sensors Server Administration Configuration and settings Carbon Black EDR users and groups Process Search and Analysis Filtering options Creating searches Process analysis and events Binary Search and Banning Binaries Filtering options Creating searches Hash banning Search best practices Search operators Advanced queries Threat Intelligence Enabling alliance feeds Threat reports details Use and functionality Watchlists Creating watchlists Use and functionality Alerts / Investigations / Response Using the HUD Alerts workflow Using network isolation Using live response