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Duration 2 Days 12 CPD hours This course is intended for Cloud Architects, Security Experts, and Network Administrators requiring in depth knowledge on CloudGuard Network Security products. Overview Discuss Azure Platform Components and their relationship to Check Point CloudGuard Network Security. Explain how to maintain a secure, efficient, and stable cloud environment. Describe the components and constraints of a hub and spoke cloud security environment. Describe the function of the Cloud Management Extension Explain the purpose of identity and access controls and constraints in different cloud platforms. Explain the steps required to configure Identity and Access controls in Azure. Describe the purpose and function of the CloudGuard Controller, its processes, and how it is tied to the Identity Awareness feature. Explain how to design and configure Cloud Adaptive Policies. Discuss the purpose and function of Data Center Objects. Describe the function and advantages of Cloud Service Provider (CSP) automation templates for instance and resource deployments. Explain how CSP templates can be used for maintenance tasks in the cloud environment. Discuss Third-Party Automation tools, how they can simplify deployment and maintenance tasks, and the constraints associated with them. Discuss Scaling Solutions and Options for Cloud Environments. Explain the Scaling Options in Azure. Describe the workflow for configuring scaling solutions in Azure. Discuss how ClusterXL operates and what elements work together to permit traffic failover. Explain how ClusterXL functions differently in a Cloud Environment. Describe how clusters are created and function in Azure. Discuss the elements involved in Hybrid Data Center deployments, the advantages of them, and the constraints involved. Explain the nature of a 'Greenfield' deployment, the advantages of it, and the constraints involved. Describe the components and constraint involved in deploying a Disaster Recovery Site in the cloud. Discuss the steps required for troubleshooting automation in Azure. Explain the steps required for troubleshooting Scaling Solution issues in Azure. Describe the steps required for troubleshooting clusters in Azure. Learn advanced concepts and develop skills needed to design and administer CloudGuard Network Security Environments. Course Outline Deploy a Security Management Server. Connect to SmartConsole. Configure Azure Active Directory and the Service Principle. Install the Cloud Management Extension. Configure the Cloud Management Extension. Configure the Access Control Policy. Assign the Service Principle. Create the CloudGuard Controller Object. Configure Access Control Policy with a Data Center Object. Deploy the Spoke vNets. Create the Spoke Route Table. Deploy Web Servers into the Spoke vNets. Deploy the Virtual Machine Scale Set. Assign the Service Principle to the VMSS Resource Group. Enable Indentity Awareness on the VMSS. Create Load Balancer Rules. Create vNet Peers. Create Web Server Access Control policy. Deploy the Azure High Availability Solution. Create the Cluster Object. Configure the vNet Peering. Create the Internal User Defined Routes. Create the Security Policy for Internal Traffic. Test the Internal Traffic. Troubleshoot the CloudGuard Controller. Debugs the CloudGuard Controller. Debug the Cloud Management Extension. Additional course details: Nexus Humans CNSE-Azure Check Point Network Security Expert for Azure 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 CNSE-Azure Check Point Network Security Expert for Azure course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for A Dynamics 365 Business Central core Functional Consultant is responsible for implementing core application setup processes for small and medium businesses. Overview Understand use cases for Business Central modules Set up Business Central Configure Financials Configure Sales and Purchasing Configure Operations Understand Integrationa nd Automation scenarios Built and optimized for small and medium businesses, Dynamics 365 Business Central is an application for companies that have outgrown their entry-level business applications. Growing businesses often outgrow their basic accounting software or legacy enterprise resource planning (ERP) systems that are unable to handle increased inventory and transactions, lack integration with other line-of-business systems, and have reporting limitations. Businesses are also challenged with the logistics of providing services that have more scalability, increased mobility, and availability in the cloud. With Business Central, you can manage your financials, automate and secure your supply chain, sell smarter, improve customer service and project performance, and optimize your operations. Introduction to Business Central Modules Introduction to Business Central Technology overview Navigate the user interface Master data for the Sales and Purchase process Application Setup Create and configure a new company Migrate data to Business Central Manage Security Set up core app functionality Set up dimensions Configure Financials Set up Finance Management Set up the Chart of Accounts Set up posting groups General Journals Set up Cash Management Set up Accounts Payables Set up Accounts Receivables Configure Sales and Purchasing Set up Inventory Configure prices and discounts Operations Purchase items Sell items Process financial transactions Inventory costing Integration and Automation Set up and use approvals with workflows Connect Power Apps Connect Power Automate Connect Power BI

Duration 0.5 Days 3 CPD hours This course is intended for Security EngineersNetwork Engineers Overview This course is intended to provide a top-level overview of Palo Alto Networks© Traps? Endpoint protection product. Upon completion of the class the student will be able to understand these principles: Explain the core technologies of Traps? and how it differs from traditional signature recognition technologies. Understand the advantages of these technologies over existing solutions. Understand Traps? product architecture and deployment requirements. Installation requirements for Traps? installations. Deploy Exploit Prevention Module defenses to endpoints with Policies. Deploy Malware Protection defenses to endpoints. Provide Application Execution Control in conjunction with WildFire?. Understand deployment strategies and tactics for Workstations, VDI and Server endpoints. Gather and analyze Security Event reports and forensics. Foundation classes are just introductory trainings, NOT a full technical training. Compromise isn?t inevitable, or, at least, it shouldn?t be. Traditional endpoint protection simply cannot keep up with the rapidly evolving threat landscape, leaving organizations vulnerable to advanced attacks. A new approach is needed, one that can rebuild confidence in endpoint security. This new approach needs to prevent advanced attacks originating from executables, data files or network-based exploits ? known and unknown ? before any malicious activity could successfully run. Palo Alto Networks© call this ?advanced endpoint protection.? By focusing on the attacker?s core techniques and putting up barriers to mitigate them, the attacker?s path for exploitation becomes known, even when the attack isn?t. Traps? focuses on the core techniques leveraged by exploits in advanced cyberattacks and renders these techniques ineffective by breaking the exploit sequence and blocking the technique the moment it is attempted. IntroductionThe Traps? technology alternative to endpoint defenseTraps? Exploit and Malware protectionTraps? Product ArchitectureTraps? DeploymentTraps? Exploit Policy ManagementTraps? Malware Protection PoliciesTraps? ForensicsPractical Traps? Implementation considerations Additional course details: Nexus Humans Palo Alto Networks - Foundations of Palo Alto Networks Traps Endpoint protection (EDU-180) 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 - Foundations of Palo Alto Networks Traps Endpoint protection (EDU-180) 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 This class is ideal for merchants, marketers, and content managers who want to learn more about using B2C Commerce Cloud Business Manager to manage end-to-end business operations for a Commerce Cloud storefront. This course is also useful for developers preparing for the B2C Commerce Developer certification, providing information on working with a B2C site and data management using Business Manager. Overview Organize a storefront using catalogs, categories, products, pricing, and search refinements. Improve results in search engines using SEO best practices. Improve on-site search using the search index, Einstein Search dictionaries, and sorting rules. Entice and target online shoppers using customer groups, qualifiers, campaigns, and promotions. Create shopper experiences using content slots, Page Designer, and Einstein Recommendations. Leverage analytics and reports to determine success. Create A/B tests to make decisions on storefront experiences. Discover how to present products in a compelling way on a B2C Commerce Cloud storefront so you can turn customers into repeat customers. In this 5-day extended* class, you?ll learn how to improve conversion rates and increase the average order size of shoppers. Our B2C Commerce Cloud experts will walk you through how to organize an existing site, use best practices in search and online marketing, enhance the shopper experience, and leverage analytics to understand what products are selling best and why. NOTE: This course does not include site creation, programming, or site design. This class is taught using the SFRA reference architecture site and not the client?s specific site. Client specific site is used during the Launch Readiness Bootcamp conducted by Services. Getting Started Introductions Housekeeping B2C Commerce Overview Shop Organization Explain How Catalogs Work Create Categories Manage Products Manage Pricing & Inventory Configure Search Refinements Search & Sort Manage Search Engine Optimization Implement Searchandizing Strategies Online Marketing Use Qualifiers (coupon codes, source codes, customer groups) Create Promotions Create and Manage Campaigns Refine Campaigns Shopper Experience Identify Content Management Basics Create and Manage Content Slots Create a Page Using Page Designer Identify Einstein Recommender Types and Related Strategies Analysis and Optimization View Production Reports Create an A/B Test

Duration 2 Days 12 CPD hours This course is intended for Built for IT Professionals working with Citrix Content Collaboration, with little or no previous Content Collaboration experience. Potential students include networking administrators, engineers, and architects interested in learning how to deploy or manage Citrix Content Collaboration. Overview Understand Enterprise File Synchronization, Sharing, and Citrix Content Collaboration architecture How to navigate the Citrix Content Collaboration administration interface and build StorageZones How to manage Citrix Content Collaboration users in an Active Directory environment Different StorageZone deployment considerations and scenarios In this course, you?ll learn about how to use Citrix Content Collaboration to share, sync, and secure content for your organization. You?ll understand the Content Collaboration architecture, StorageZone configurations and deployment options available, how to manage and administer your Content Collaboration environment, Citrix Files applications, and how single sign-on, and how to use the User Management Tool for Content Collaboration Content Collaboration Architecture Overview Introduction to Enterprise File Sync and Sharing (EFSS) including its use cases, legal, and data security considerations Review Content Collaboration architecture, components and storage features Management and Administration Getting Started in Content Collaboration How to configure and manage users, folders, permissions and administrative settings Additional cloud-based features and integrations Storage Zone Deployments and Configuration Overview of Storage Zones architecture and deployment options for customer-managed storage including proof-ofconcept, high-availability, and multi-site deployments Review system, networking, and hosting requirements including steps for server preparation, installation and configuration Manage, monitor, and upgrade Storage Zone deployments for optimal performance Single Sign-on and User Management Overview of SAML 2.0 protocol and single-sign on use cases,security and benefits Single Sign-on settings for Content Collaboration and supported identity provider configurations User provisioning with User Management Tool (UMT) and task scheduling for automated updates synchronization with Active Directory Citrix Files Applications Citrix Files application system requirements, configuration and settings Compare features and functionalities for various use case applications and workflows Lifecycle product version considerations Additional course details: Nexus Humans CSF-202: Citrix Content Collaboration Enterprise Essentials 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 CSF-202: Citrix Content Collaboration Enterprise Essentials 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 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

Duration 5 Days 30 CPD hours This course is intended for This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. Overview In this course, you will learn to: Use data science principles to address business issues. Apply the extract, transform, and load (ETL) process to prepare datasets. Use multiple techniques to analyze data and extract valuable insights. Design a machine learning approach to address business issues. Train, tune, and evaluate classification models. Train, tune, and evaluate regression and forecasting models. Train, tune, and evaluate clustering models. Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance. For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform?by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice Addressing Business Issues with Data Science Topic A: Initiate a Data Science Project Topic B: Formulate a Data Science Problem Extracting, Transforming, and Loading Data Topic A: Extract Data Topic B: Transform Data Topic C: Load Data Analyzing Data Topic A: Examine Data Topic B: Explore the Underlying Distribution of Data Topic C: Use Visualizations to Analyze Data Topic D: Preprocess Data Designing a Machine Learning Approach Topic A: Identify Machine Learning Concepts Topic B: Test a Hypothesis Developing Classification Models Topic A: Train and Tune Classification Models Topic B: Evaluate Classification Models Developing Regression Models Topic A: Train and Tune Regression Models Topic B: Evaluate Regression Models Developing Clustering Models Topic A: Train and Tune Clustering Models Topic B: Evaluate Clustering Models Finalizing a Data Science Project Topic A: Communicate Results to Stakeholders Topic B: Demonstrate Models in a Web App Topic C: Implement and Test Production Pipelines

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

Duration 4.375 Days 26.25 CPD hours This course is intended for The target audience for this course is all Oracle professionals. Among the specific groups for whom this course will be helpful are: Application designers and database developers Database administrators Web server administrators Overview This eTextbook begins with an explanation of the intent and usage of the PL/SQL programming language for database applications. Important reasons why one should incorporate PL/SQL modules within the application architecture right from the initial design and planning phase are presented. Next one learns how to begin building executable PL/SQL program units. One learns about each of the major segments of a working program and how these interact with each other during program execution, including the important error or exception handling capabilities of the language. The final section goes beyond the basics and begins to explore advanced topics that will be useful later in the Sideris Oracle PL/SQL developer textbook series. One learns techniques and features that allow modular and reusable programs to be developed, increasing productivity and maintainability of database applications. his eTextbook introduces one to Oracle database programming using the PL/SQL programming language. One will learn the syntax, structure and features of the language. This textbook will also lay the foundation for the entire Sideris Oracle PL/SQL programming series, allowing one to progress from introductory topics to advanced application design and programming and finally onto writing complex high-performance applications. his eTextbook introduces one to Oracle database programming using the PL/SQL programming language. One will learn the syntax, structure and features of the language. This textbook will also lay the foundation for the entire Sideris Oracle PL/SQL programming series, allowing one to progress from introductory topics to advanced application design and programming and finally onto writing complex high-performance applications.

Duration 4.5 Days 27 CPD hours This course is intended for This is an intermediate course intended for IBM i system administrators, data processing managers and other individuals who implement and manage security, backup and recovery, system software and problem determination. This course is not recommended for s Overview Describe and implement the components of IBM i security, such as user profile, group profile, authorization list, adopted authority and object / resource security Develop a security plan for your Power Systems with IBM i Describe the options to implement security auditing Develop a plan to audit security on your Power Systems with IBM i Describe the IBM i availability products and features and choose the option(s) that best fit your company requirements Describe how to backup and recover user, IBM and full system data on your Power Systems with IBM i Develop a backup and recovery plan for your Power Systems with IBM i Describe the system diagnostics and problem determination procedures available on your Power Systems with IBM i Learn how to plan for, implement, and manage the ongoing operations of an IBM i. Class administration and introductions . IBM i overview and concepts . Management central overview . Security concepts and overview . System values . User security . Resource security . Security auditing . Designing security . IBM i availability overview . Disk management . Backup and recovery strategy using Save/Restore . Journal management . Commitment control overview . Backup and recovery planning . Problem determination . Overview of Systems Director Navigator for i . Introduction to BRMS .