57816 Courses

Duration 5 Days 30 CPD hours This course is intended for Security Engineers, Security Administrators, Security Operations Specialists, Security Analysts, and Support Staff Overview The Palo Alto Networks Firewall 10.2 Essentials: Configuration and Management (EDU-210) course is five days of instructor-led training that will help you to: Configure and manage the essential features of Palo Alto Networks next-generation firewalls Configure and manage Security and NAT policies to enable approved traffic to and from zones Configure and manage Threat Prevention strategies to block traffic from known and unknown IP addresses, domains, and URLs Monitor network traffic using the interactive web interface and firewall reports Palo Alto Networks next-generation firewalls are architected to safely enable applications and prevent modern threats. Their approach identifies all network traffic based on applications, users, content and devices, and lets you express your business policies in the form of easy-to-understand security rules. Flexible deployment options and native integration with their next-generation security platform extend the policy enforcement and cyberthreat prevention to everywhere your users and data are located: in your network, on your endpoints and in the cloud. Palo Alto Networks next-generation firewalls are architected to safely enable applications and prevent modern threats. Their approach identifies all network traffic based on applications, users, content and devices, and lets you express your business policies in the form of easy-to-understand security rules. Flexible deployment options and native integration with their next-generation security platform extend the policy enforcement and cyberthreat prevention to everywhere your users and data are located: in your network, on your endpoints and in the cloud.

Duration 1 Days 6 CPD hours Companies are increasingly integrating Mac computers into Windows or other standards-based network environments. This Mac Integration Basics course examines how to best use a Mac(s) in an organization that predominantly functions with a Microsoft Windows operating system and Windows Servers. This course is also ideal for users who need to replace a Windows computer with a Mac and for IT professionals who support Mac users Directory Services Connecting a Mac to a Directory Server Using Network Account File Sharing Connecting to File Servers Turning on Personal File Sharing Email, Contacts, and Calendars Managing Internet Accounts Preferences Connecting to an Exchange Server Connecting Mail to Non-Windows Servers Adding Accounts in Mail, Contacts, and Calendars Security Built-in Security Features Creating Strong Passwords Using Two-factor Authentication Setting a Firmware Password Locking a Mac Screen Creating User Accounts Disabling Automatic Login Protecting Start-up Disk Files Ensuring that the Apps you Download are Safe Providing Network Security Printing Connecting to a Local Printer Setting up a Wireless Printer Sharing your Printer Setting up a Printer Shared by a Mac and a PC via SMB or CIFS Setting up an IP Printer Specifying Printer Features Printing from a Network Printer Instant Messaging iMessage Jabber Configuring Messages Adding Accounts Chatting on a local network with Bonjour Moving and Backing Up Content Moving Content Backing up Data with Time Machine Running Windows on a Mac Running Windows Natively or Virtually Using Office Using Cross-platform Apps Using Cross-platform Files

Duration 5 Days 30 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner / Team Lead / Power User Program/Project Manager Overview This course will prepare you to: Describe the motivation for SAP S/4HANA Enterprise Management Provide an overview of basic business processes in the main components of Financial Accounting with SAP S/4HANA Students will learn how SAP S/4HANA covers the Financial Accounting related business requirements and how the fundamental business processes and tasks are executed in the system. Overview of SAP S/4HANA Outlining the Motivation for SAP HANA and SAP S/4HANA Providing an Overview of the SAP S/4HANA Products and Adoption Strategies Using the SAP Fiori Front-End Overview of Financial Accounting (FI) in SAP S/4HANA Outlining Financial Accounting (FI) Components in SAP S/4HANA General Ledger (G/L) Accounting Outlining Organizational Elements in Financial Accounting (FI) Maintaining G/L Master Records Posting Transactions in the G/L Accounts Payable Maintaining Vendor Master Records Maintaining Accounts Payable Transactions Managing the Integration between Accounts Payable and Materials Management Performing Accounts Payable Closing Operations Accounts Receivable Maintaining Customer Master Records Managing Accounts Receivable Transactions Managing Customer Correspondence Creating Accounts Receivable Dispute Cases Managing the Integration between Accounts Receivable and Sales Order Management Performing Accounts Receivable Closing Operations Asset Accounting Maintaining Asset Master Records Executing Asset Transactions Executing Asset Accounting Period-End Closing Activities Bank Accounting Maintaining Bank Accounting Master Records Managing Bank Accounting Transactions Closing Operations in General Ledger Accounting Performing General Ledger (G/L) Closing Operations

We deliver forklift training to both individuals and companies. Courses are delivered onsite at our training centre or arrangements can be made to deliver at a company’s premises.

The Guitar Social has a recording studio and its yours to use for free (if you're a member)  We've built it to be as simple as possible to operate and in this 90 minute session you'll learn alll you need to know about which dials do what and where to point your guitar to get the best sound.  Anyone with a membership is welcome, but this induction goes well with our song writing course, or for anyone taking part in our live lounge events. 

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 3 Days 18 CPD hours This course is intended for The target audience for the SRE Practitioner course are professionals including: Anyone focused on large-scale service scalability and reliability Anyone interested in modern IT leadership and organizational change approaches Business Managers Business Stakeholders Change Agents Consultants DevOps Practitioners IT Directors IT Managers IT Team Leaders Product Owners Scrum Masters Software Engineers Site Reliability Engineers System Integrators Tool Providers Overview After completing this course, students will have learned: Practical view of how to successfully implement a flourishing SRE culture in your organization. The underlying principles of SRE and an understanding of what it is not in terms of anti-patterns, and how you become aware of them to avoid them. The organizational impact of introducing SRE. Acing the art of SLIs and SLOs in a distributed ecosystem and extending the usage of Error Budgets beyond the normal to innovate and avoid risks. Building security and resilience by design in a distributed, zero-trust environment. How do you implement full stack observability, distributed tracing and bring about an Observability-driven development culture? Curating data using AI to move from reactive to proactive and predictive incident management. Also, how you use DataOps to build clean data lineage. Why is Platform Engineering so important in building consistency and predictability of SRE culture? Implementing practical Chaos Engineering. Major incident response responsibilities for a SRE based on incident command framework, and examples of anatomy of unmanaged incidents. Perspective of why SRE can be considered as the purest implementation of DevOps SRE Execution model Understanding the SRE role and understanding why reliability is everyone's problem. SRE success story learnings This course introduces a range of practices for advancing service reliability engineering through a mixture of automation, organizational ways of working and business alignment. Tailored for those focused on large-scale service scalability and reliability. SRE Anti-patterns Rebranding Ops or DevOps or Dev as SRE Users notice an issue before you do Measuring until my Edge False positives are worse than no alerts Configuration management trap for snowflakes The Dogpile: Mob incident response Point fixing Production Readiness Gatekeeper Fail-Safe really? SLO is a Proxy for Customer Happiness Define SLIs that meaningfully measure the reliability of a service from a user?s perspective Defining System boundaries in a distributed ecosystem for defining correct SLIs Use error budgets to help your team have better discussions and make better data-driven decisions Overall, Reliability is only as good as the weakest link on your service graph Error thresholds when 3rd party services are used Building Secure and Reliable Systems SRE and their role in Building Secure and Reliable systems Design for Changing Architecture Fault tolerant Design Design for Security Design for Resiliency Design for Scalability Design for Performance Design for Reliability Ensuring Data Security and Privacy Full-Stack Observability Modern Apps are Complex & Unpredictable Slow is the new down Pillars of Observability Implementing Synthetic and End user monitoring Observability driven development Distributed Tracing What happens to Monitoring? Instrumenting using Libraries an Agents Platform Engineering and AIOPs Taking a Platform Centric View solves Organizational scalability challenges such as fragmentation, inconsistency and unpredictability. How do you use AIOps to improve Resiliency How can DataOps help you in the journey A simple recipe to implement AIOps Indicative measurement of AIOps SRE & Incident Response Management SRE Key Responsibilities towards incident response DevOps & SRE and ITIL OODA and SRE Incident Response Closed Loop Remediation and the Advantages Swarming ? Food for Thought AI/ML for better incident management Chaos Engineering Navigating Complexity Chaos Engineering Defined Quick Facts about Chaos Engineering Chaos Monkey Origin Story Who is adopting Chaos Engineering Myths of Chaos Chaos Engineering Experiments GameDay Exercises Security Chaos Engineering Chaos Engineering Resources SRE is the Purest form of DevOps Key Principles of SRE SREs help increase Reliability across the product spectrum Metrics for Success Selection of Target areas SRE Execution Model Culture and Behavioral Skills are key SRE Case study Post-class assignments/exercises Non-abstract Large Scale Design (after Day 1) Engineering Instrumentation- Instrumenting Gremlin (after Day 2)

Duration 4.375 Days 26.25 CPD hours This course is intended for This course provides a jump start on learning material that relates to the CMMC program, and to the planned Certified Professional (CP) certification in particular. It discusses the CMMC program, the current CMMC Model, and other CMMC materials as they exist today. The course may be of interest to individuals who wish to pursue the CMMC-CP certification when it is released. It may also be useful to stakeholders in organizations who will be involved in CMMC assessments, and who wish to gain a general understanding of the program and its requirements for their business planning purposes Overview In this course, you will examine the current CMMC model (Version 1.02), framework, context, and application within the DoD, as well as the expectations and requirements that will be imposed upon organizations that do business with the DoD. It will also help you to identify threats to cybersecurity and privacy within an IoT ecosystem and implement appropriate countermeasures. You will gain the skills to: · Identify risks within the defense supply chain and the established standards for managing them. · Describe how the CMMC model ensures compliance with federal acquisition regulations. · Identify responsibilities of the CMMC Certified Professional, including appropriate ethics and behavior. · Identify regulated information and establish the Certification and Assessment scope boundaries for evaluating the systems that protect that regulated information. · Evaluate OSC readiness and determine the objective evidence you intend to present to the assessor. · Use the NIST 800-171A and CMMC Assessment Guide to assess objective evidence for processes and practices. · Implement and evaluate practices required to meet CMMC maturity level 1. · Implement and evaluate processes and practices required to meet CMMC maturity level 2. · Implement and evaluate processes and practices required to meet CMMC maturity level 3. · Identify processes and practices required to meet CMMC maturity levels 4 and 5. · Work through the logistics of a CMMC assessment, including planning for and conducting the assessment, as well as any follow-up processes, such as remediation and adjudication. The Cybersecurity Maturity Model Certification (CMMC), managed by the CMMC Accreditation Body (CMMC-AB), is a program through which an organization's cybersecurity program is measured by their initial and ongoing compliance with applicable cybersecurity practices as well as their integration of corresponding policies and plans into their overall business operations. By Fiscal Year 2026, all organizations providing products or services to the United States Department of Defense (DoD) must obtain at least a Maturity Level 1 certification under this program. Managing Risk within the Defense Supply Chain Topic A: Identify Threats to the Defense Supply Chain Topic B: Identify Regulatory Responses Against Threats Ensuring Compliance through CMMC Topic A: Identify Limitations of Self-Certification Topic B: Identify Benefits of CMMC Topic C: Describe the CMMC Model Architecture Performing the General Responsibilities of a CMMC CP Topic A: Identify Responsibilities of the CMMC CP Topic B: Demonstrate Appropriate Ethics and Behavior Identifying and Scoping Regulated Information Topic A: Identify Regulated Information Topic B: Establish the Certification and Assessment Scope Boundaries Initiating the Assessment Process Topic A: Evaluate Readiness Topic B: Determine Objective Evidence Assessing Objective Evidence Topic A: Assess the Practices Using the CMMC Assessment Guides Topic B: Assess the Processes Using the CMMC Assessment Guide Level 3 Implementing and Evaluating CMMC Level 1 TTopic A: Maturity Level 1 Domains and Practices Topic B: Determine Scope Boundaries at Maturity Level 1 Topic C: Perform a Maturity Level 1 Gap Analysis Topic D: Perform a Maturity Level 1 Evidence Validation Implementing and Evaluating CMMC Levels 2 and 3 Topic A: Process Maturity Requirements for CMMC Levels 2 and 3 Topic B: Maturity Level 2 Practices Topic C: Maturity Level 3 Practices Identifying CMMC Levels 4 and 5 Topic A: Maturity Level 4 Processes and Practices Topic B: Maturity Level 5 Processes and Practices Working Through a CMMC Assessment Topic A: Define the Assessment Logistics Topic B: Resolve Assessment Related Issues Appendix A: Additional Documentation the CP Should Study

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Platform Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing,storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This 1-day instructor led course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for Azure system administrators, Solution Architects and SysOps Administrators familiar with Azure features and setup; and want to gain experience configuring Google Cloud products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Identify the purpose of projects on Google Cloud. Understand how Azure's resource hierarchy differs from Google Cloud's Understand the purpose of and use cases for Identity and Access Management. Understand how Azure AD differs from Google Cloud IAM. List the methods of interacting with Google Cloud. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine Understand the basics of networking in Google Cloud. Understand how Azure VPC differs from Google VPC. Understand the similarities and differences between Azure VM and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in Azure. Deploy applications using Google Compute Engine Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Azure Blob compares to Cloud Storage. Compare Google Cloud?s managed database services with Azure SQL. Learn how to choose among the various storage options on Google Cloud. Load data from Cloud Storage into BigQuery Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Azure Kubernetes Service differs from from Google Kubernetes Engine. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Azure App Service. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Google Cloud Deployment Manager differs from Azure Resource Manager. Understand the purpose of integrated monitoring, alerting, and debugging Understand how Google Monitoring differs from Azure Application Insights and Azure Log Analytics. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from Azure Data Lake. Understand how Google Cloud Pub/Sub differs from Azure Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from Azure's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from Azure to Google Cloud.

Duration 3 Days 18 CPD hours This course is intended for Organizations today demand a professional-level cybersecurity threat intelligence analyst who can extract the intelligence from data by implementing various advanced strategies. Such professional-level programs can only be achieved when the core of the curricula maps with and is compliant to government and industry published threat intelligence frameworks. Ethical Hackers Security Practitioners, Engineers, Analysts, Specialist, Architects, and Managers Threat Intelligence Analysts, Associates, Researchers, Consultants Threat Hunters SOC Professionals Digital Forensic and Malware Analysts Incident Response Team Members Any mid-level to high-level cybersecurity professionals with a minimum of 2 years of experience. Individuals from the information security profession and who want to enrich their skills and knowledge in the field of cyber threat intelligence. Individuals interested in preventing cyber threats. Overview This program will benefit students who are looking to build effective threat intelligence for their organization in order to combat modern-day cyber-attacks and prevent future attacks. Certified Threat Intelligence Analyst (C|TIA) is designed and developed in collaboration with cybersecurity and threat intelligence experts across the globe to help organizations identify and mitigate business risks by converting unknown internal and external threats into known threats. It is a comprehensive, specialist-level program that teaches a structured approach for building effective threat intelligence. Introduction to Threat Intelligence Understanding Intelligence Understanding Cyber Threat Intelligence Overview of Threat Intelligence Lifecycle and Frameworks Cyber Threats and Kill Chain Methodology Understanding Cyber Threats Understanding Advanced Persistent Threats (APTs) Understanding Cyber Kill Chain Understanding Indicators of Compromise (IoCs) Requirements, Planning, Direction, and Review Understanding Organization?s Current Threat Landscape Understanding Requirements Analysis Planning Threat Intelligence Program Establishing Management Support Building a Threat Intelligence Team Overview of Threat Intelligence Sharing Reviewing Threat Intelligence Program Data Collection and Processing Overview of Threat Intelligence Data Collection Overview of Threat Intelligence Collection Management Overview of Threat Intelligence Feeds and Sources Understanding Threat Intelligence Data Collection and Acquisition Understanding Bulk Data Collection Understanding Data Processing and Exploitation Data Analysis Overview of Data Analysis Understanding Data Analysis Techniques Overview of Threat Analysis Understanding Threat Analysis Process Overview of Fine-Tuning Threat Analysis Understanding Threat Intelligence Evaluation Creating Runbooks and Knowledge Base Overview of Threat Intelligence Tools Intelligence Reporting and Dissemination Overview of Threat Intelligence Reports Introduction to Dissemination Participating in Sharing Relationships Overview of Sharing Threat Intelligence Overview of Delivery Mechanisms Understanding Threat Intelligence Sharing Platforms Overview of Intelligence Sharing Acts and Regulations Overview of Threat Intelligence Integration