7466 Systems courses

Overview EDRMS Electronic Document and Record Management System is basically a kind of IT-based system which is developed to manage the creation, tracking, storage and disposal of all physical and digital documents and records. Through this, we can easily keep track of various documents modified by different users. With the access of one application, many different tasks can be completed that revolve around document management. It enhances the security system where we can easily define whom to have access to what part of the documents. EDRMS is known by many other different names like Enterprise content management systems or digital asset management, document mapping and so on. This course shows participants how to deal with documents in an electronic way to get rid of the paper's hard copy which takes a lot of space and time. It will also update you with the EDRMS system and changes that happen to take place with the passage of time. The advanced technology leads to Advance EDRMS systems with enhanced features. 

Cloud deployment training course description This course covers the important topics every cloud professional needs, including, configuration and deployment, security, maintenance, management, and troubleshooting. It covers all aspects of cloud computing infrastructure and administration, with a practical focus on real-world skills. It will help you to master the fundamental concepts, terminology, and characteristics of cloud computing. Deploy and implement cloud solutions, manage the infrastructure, and monitor performance. You will also be able to install, configure, and manage virtual machines. What will you learn Cloud services, models, and characteristics. Virtualization components, installation, and configuration. Infrastructure configurations and optimization. Resource management and specific allocations. IT security concepts, tools, and best practices. Recovery, availability and continuity in the cloud. Cloud deployment training course details Who will benefit: IT professionals looking to deploy and implement cloud solutions, manage the infrastructure, and monitor performance, Install, configure, and manage virtual machines. Prerequisites: Introduction to virtualization. Duration 5 days Cloud deployment training course contents Preparing to Deploy Cloud Solutions Deploying a Pilot Project Testing Pilot Project Deployments Designing a Secure and Compliant Cloud Infrastructure Designing and Implementing a Secure Cloud Environment Planning Identity and Access Management for Cloud Deployments Determining CPU and Memory Sizing for Cloud Deployments Determining Storage Requirements for Cloud Deployments Analysing Workload Characteristics to Ensure Successful Migration Maintaining Cloud Systems Implementing Backup, Restore, Disaster Recovery, and Business Continuity Measures Analysing Cloud Systems for Performance Analysing Cloud Systems for Anomalies and Growth Forecasting Troubleshooting Deployment, Capacity, Automation, and Orchestration Issues Troubleshooting Connectivity Issues Troubleshooting Security Issues

Linux for Networking Engineers (CCNA, CCNP, CCIE etc): Practical Linux with GNS3 = network programmability and automation.

Endometriosis masterclass. Two day practical theory and hands on course on all aspects of endometriosis management. Expert faculty and live surgical cases.

Duration 5 Days 30 CPD hours This course is intended for The CHFI course will benefit: Police and other laws enforcement personnel Defense and Military personnel e-Business Security professionals Systems administrators Legal professionals Banking, Insurance and other professionals Government agencies Overview At the end of this course, you will possess the skills needed to: Understand the fundamentals of computer forensics Understand the computer forensic investigation process Describe in detail different types of hard disks and file systems Understand data acquisition and duplication Counteract anti-forensic techniques Leverage forensic skills in Windows, Linux, and Mac Investigate web attacks Understand dark web forensics Deploy forensic techniques for databases, cloud, and networks Investigate email crimes including malware Perform forensics in mobile and IoT environments Every crime leaves a digital footprint, and you need the skills to track those footprints. In this course, students will learn to unravel these pieces of evidence, decode them and report them. From decoding a hack to taking legal action against the perpetrators, they will become an active respondent in times of cyber-breaches. Computer Forensics in Today?s World 1.1. Understand the Fundamentals of Computer Forensics 1.2. Understand Cybercrimes and their Investigation Procedures 1.3. Understand Digital Evidence 1.4. Understand Forensic Readiness, Incident Response and the Role of SOC (Security Operations Center) in Computer Forensics 1.5. Identify the Roles and Responsibilities of a Forensic Investigator 1.6. Understand the Challenges Faced in Investigating Cybercrimes 1.7. Understand Legal Compliance in Computer Forensics Computer Forensics Investigation Process 2.1. Understand the Forensic Investigation Process and its Importance 2.2. Understand the Pre-investigation Phase 2.3. Understand First Response 2.4. Understand the Investigation Phase 2.5. Understand the Post-investigation Phase Understanding Hard Disks and File Systems 3.1. Describe Different Types of Disk Drives and their Characteristics 3.2. Explain the Logical Structure of a Disk 3.3. Understand Booting Process of Windows, Linux and Mac Operating Systems 3.4. Understand Various File Systems of Windows, Linux and Mac Operating Systems 3.5. Examine File System Using Autopsy and The Sleuth Kit Tools 3.6 Understand Storage Systems 3.7. Understand Encoding Standards and Hex Editors 3.8. Analyze Popular File Formats Using Hex Editor Data Acquisition and Duplication 4.1. Understand Data Acquisition Fundamentals 4.2. Understand Data Acquisition Methodology 4.3. Prepare an Image File for Examination Defeating Anti-forensics Techniques 5.1. Understand Anti-forensics Techniques 5.2. Discuss Data Deletion and Recycle Bin Forensics 5.3. Illustrate File Carving Techniques and Ways to Recover Evidence from Deleted Partitions 5.4. Explore Password Cracking/Bypassing Techniques 5.5. Detect Steganography, Hidden Data in File System Structures, Trail Obfuscation, and File Extension Mismatch 5.6. Understand Techniques of Artifact Wiping, Overwritten Data/Metadata Detection, and Encryption 5.7. Detect Program Packers and Footprint Minimizing Techniques 5.8. Understand Anti-forensics Countermeasures Windows Forensics 6.1. Collect Volatile and Non-volatile Information 6.2. Perform Windows Memory and Registry Analysis 6.3. Examine the Cache, Cookie and History Recorded in Web Browsers 6.4. Examine Windows Files and Metadata 6.5. Understand ShellBags, LNK Files, and Jump Lists 6.6. Understand Text-based Logs and Windows Event Logs Linux and Mac Forensics 7.1. Understand Volatile and Non-volatile Data in Linux 7.2. Analyze Filesystem Images Using The Sleuth Kit 7.3. Demonstrate Memory Forensics Using Volatility & PhotoRec 7.4. Understand Mac Forensics Network Forensics 8.1. Understand Network Forensics 8.2. Explain Logging Fundamentals and Network Forensic Readiness 8.3. Summarize Event Correlation Concepts 8.4. Identify Indicators of Compromise (IoCs) from Network Logs 8.5. Investigate Network Traffic 8.6. Perform Incident Detection and Examination with SIEM Tools 8.7. Monitor and Detect Wireless Network Attacks Investigating Web Attacks 9.1. Understand Web Application Forensics 9.2. Understand Internet Information Services (IIS) Logs 9.3. Understand Apache Web Server Logs 9.4. Understand the Functionality of Intrusion Detection System (IDS) 9.5. Understand the Functionality of Web Application Firewall (WAF) 9.6. Investigate Web Attacks on Windows-based Servers 9.7. Detect and Investigate Various Attacks on Web Applications Dark Web Forensics 10.1. Understand the Dark Web 10.2. Determine How to Identify the Traces of Tor Browser during Investigation 10.3. Perform Tor Browser Forensics Database Forensics 11.1. Understand Database Forensics and its Importance 11.2. Determine Data Storage and Database Evidence Repositories in MSSQL Server 11.3. Collect Evidence Files on MSSQL Server 11.4. Perform MSSQL Forensics 11.5. Understand Internal Architecture of MySQL and Structure of Data Directory 11.6. Understand Information Schema and List MySQL Utilities for Performing Forensic Analysis 11.7. Perform MySQL Forensics on WordPress Web Application Database Cloud Forensics 12.1. Understand the Basic Cloud Computing Concepts 12.2. Understand Cloud Forensics 12.3. Understand the Fundamentals of Amazon Web Services (AWS) 12.4. Determine How to Investigate Security Incidents in AWS 12.5. Understand the Fundamentals of Microsoft Azure 12.6. Determine How to Investigate Security Incidents in Azure 12.7. Understand Forensic Methodologies for Containers and Microservices Investigating Email Crimes 13.1. Understand Email Basics 13.2. Understand Email Crime Investigation and its Steps 13.3. U.S. Laws Against Email Crime Malware Forensics 14.1. Define Malware and Identify the Common Techniques Attackers Use to Spread Malware 14.2. Understand Malware Forensics Fundamentals and Recognize Types of Malware Analysis 14.3. Understand and Perform Static Analysis of Malware 14.4. Analyze Suspicious Word and PDF Documents 14.5. Understand Dynamic Malware Analysis Fundamentals and Approaches 14.6. Analyze Malware Behavior on System Properties in Real-time 14.7. Analyze Malware Behavior on Network in Real-time 14.8. Describe Fileless Malware Attacks and How they Happen 14.9. Perform Fileless Malware Analysis - Emotet Mobile Forensics 15.1. Understand the Importance of Mobile Device Forensics 15.2. Illustrate Architectural Layers and Boot Processes of Android and iOS Devices 15.3. Explain the Steps Involved in Mobile Forensics Process 15.4. Investigate Cellular Network Data 15.5. Understand SIM File System and its Data Acquisition Method 15.6. Illustrate Phone Locks and Discuss Rooting of Android and Jailbreaking of iOS Devices 15.7. Perform Logical Acquisition on Android and iOS Devices 15.8. Perform Physical Acquisition on Android and iOS Devices 15.9. Discuss Mobile Forensics Challenges and Prepare Investigation Report IoT Forensics 16.1. Understand IoT and IoT Security Problems 16.2. Recognize Different Types of IoT Threats 16.3. Understand IoT Forensics 16.4. Perform Forensics on IoT Devices

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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.

Delegates will develop knowledge of the requirements for the design, installation and commissioning of Fire Detection and Fire Alarm systems within domestic properties in compliance with the requirements of BS 5839-6 and other codes of practice.

Delegates will develop knowledge of the requirements for the design, installation and commissioning of Fire Detection and Fire Alarm systems within domestic properties in compliance with the requirements of BS 5839-6 and other codes of practice.

Duration 5 Days 30 CPD hours This course is intended for IT professionals who have attended Red Hat System Administration I and want the skills to be full-time enterprise Linux administrators and/or earn RHCSA certifications This course focuses on the key tasks needed to become a full time Linux administrator and goes deeper into enterprise Linux administration including file systems and partitioning, logical volumes, SELinux, firewalling, and troubleshooting. Automate installation with Kickstart Automate the installation of Red Hat Enterprise Linux systems with Kickstart Use regular expressions with grep Write regular expressions that, when partnered with grep, will allow you to quickly isolate or locate content within text files. Create and Edit text files with vim Introduce the vim text editor, with which you can open, edit, and save text files. Schedule future Linux tasks Schedule tasks to automatically execute in the future. Manage priority of Linux processes Influence the relative priorities at which Linux processes run. Control access to files with access control lists (ACL) Manage file security using POSIX access control lists. Manage SELinux security Manage the Security Enhanced Linux (SELinux) behavior of a system to keep it secure in case of a network service compromise. Connect to network-defined users and groups Configure systems to use central identity management services. Add disks, partitions, and file systems to a Linux system Manage simple partitions and file systems. Manage logical volume management (LVM) storage Manage logical volumes from the command line. Access networked attached storage with network file system (NFS) Access (secure) NFS shares. Access networked storage with SMB Use autofs and the command line to mount and unmount SMB file systems. Control and troubleshoot the Red Hat Enterprise Linux boot process Limit network communication with firewall, Configure a basic firewall. Comprehensive review Practice and demonstrate knowledge and skills learned in this course.

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