710 Courses in Cardiff delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for The CCSP is ideal for IT and information security leaders responsible for applying best practices to cloud security architecture, design, operations and service orchestration. Overview Upon completing this course, the participants will gain valuable knowledge and skills including the ability to: - Successfully pass the CCSP exam. - Understand the fundamentals of the cloud computing architecture framework. - Understand security challenges associated with different types of cloud services. - Identify and evaluate security risks for their organization?s cloud environments. - Select and implement appropriate controls to ensure secure implementation of cloud services. - Thoroughly understand the 6 essential core domains of the CCSP common body of knowledge: 1. Architectural Concepts & Design Requirements 2. Cloud Data Security 3. Cloud Platform & Infrastructure Security 4. Cloud Application Security 5. Operations 6. Legal & Compliance The goal of the course is to prepare professionals for the challenging CCSP exam by covering the objectives of the exam based on the six domains as defined in the (ISC)2 CCSP common body of knowledge. 1 - Architectural Concepts and Design Requirements Cloud Computing Concepts Cloud Reference Architecture Cloud Computing Security Concepts Design Principles of Secure Cloud Computing Trusted Cloud Services 2 - Cloud Data Security CSA (Cloud Security Alliance) Cloud Data Lifecycle Cloud Data Storage Architectures Data Security Strategies Data Discovery and Classification Technologies Protecting Privacy and PII (Personally Identifiable Information) Data Rights Management Data Retention, Deletion, and Archiving Policies Auditability, Traceability, and Accountability of Data Events 3 - Cloud Platform and Infrastructure Security Cloud Infrastructure Components Cloud Infrastructure Risks Designing and Planning Security Controls Disaster Recovery and Business Continuity Management 4 - Cloud Application Security The Need for Security Awareness and Training in application Security Cloud Software Assurance and Validation Verified Secure Software SDLC (Software Development Life Cycle) Process Secure SDLC Specifics of Cloud Application Architecture Secure IAM (Identity and Access Management) Solutions 5 - Operations Planning Process for the Data Center Design Installation and Configuration of Physical Infrastructure for Cloud Environment Running Physical Infrastructure for Cloud Environment Managing Physical Infrastructure for Cloud Environment Installation and Configuration of Logical Infrastructure for Cloud Environment Running Logical Infrastructure for Cloud Environment Managing Logical Infrastructure for Cloud Environment Compliance with Regulations and Controls Risk Assessment for Logical and Physical Infrastructure Collection, Acquisition, and Preservation of Digital Evidence Managing Communication with Stakeholders 6 - Legal and Compliance Legal Requirements and Unique Risks within the Cloud Environment Relevant Privacy and PII Laws and Regulations Audit Process, Methodologies, and Required Adaptions for a Cloud Environment Implications of Cloud to Enterprise Risk Management Outsourcing and Cloud Contract Design Vendor Management

About this Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Introduction to International Trade This module provides a foundational understanding of the development and significance of international trade, focusing on the UK's trade strategy and its global role. Participants will explore key topics such as trade definitions, the World Trade Organization (WTO), the evolution of customs, and major post-WW2 trade developments. Additionally, the module covers the UK's entry into and exit from the EU, and the current UK Digital Strategy for International Trade. **Agenda Highlights**: - Definitions and importance of international trade - Overview of the WTO - Customs fundamentals - Post-WW2 global trade growth - Impact of EU membership and Brexit - UK Digital Strategy for international trade growth

About this Training Course This 5 full-day course will focus on geological fundamentals: how different basin types differ in subsidence mechanisms, basin cycles, heat flow through time, depositional systems, structural styles and their type of petroleum systems. This will allow participants to make realistic interpretations in new areas; interpretations that are consistent with the specific basin type and to be expected depositional systems and structural styles. In addition, through simple paper-based exercises, the course will provide background and understanding of how some of the typical PBE products are made: creaming curves, Field-size plots and Yet-to-find. Finally, the essentials of commercial assessments will be covered. Training Objectives To provide participants with a sound understanding how, and under which conditions different basin types develop, and what the impact of their development is on the typical petroleum systems of these different basin types. To teach evaluation techniques that assist in the regional understanding and illustration of sedimentary basins and their development. While some of these techniques can be done using computers, in the course these will be done 'by hand' for maximum understanding. Target Audience This course is designed in the first place for geoscientists working in exploration and their direct supervisors. The course is also very instructive for specialist staff working closely with exploration staff such as (bio)stratigraphers, geochemists, basin modelers, structural geologists, geophysicists, reservoir engineers and petrophysicists. Course Level Intermediate Training Methods Each topic is introduced by a lecture, and leaning is re-enforced by practical exercises (on paper). There is ample time for discussions of general issues and any specific questions participants may have. For several exercises participants will be invited to do exercises on a basin of their choice, which will make the course more impactful for the participants. Participants will be provided with the following pre-read material: Concepts of Conventional Petroleum Systems. De Jager, J. (2020). Invited contribution for Regional Geology and Tectonics Volume 1: Global Concepts, Techniques and Methodology (eds: Adam, J., Chiarelly, D. & Scarselli, N. Play-Based Exploration of the petroleum potential of the Tremp-Graus, Ainsa and eastern Jaca Sub-basins in the southern De Jager, J & van Winden, M. (2020). invited contribution for Digital Learning - Multi-scale analysis of depositional systems and their subsurface workflows (eds: Grötsch, J. & Pöppelreiter, M.), EAGE. Trainer Your expert course leader has a PhD in Geology from the University of Utrecht. He worked for 31 years (1979 -2010) with Shell as an exploration geologist in a variety of functions across the globe. As Principle Technical Expert, he was responsible for ensuring that Risk & Volume assessments were carried out consistently and correctly in all of Shell's exploration units. In this capacity, he led and participated in countless prospect review sessions and developed and conducted a successful in-house course on Risks & Volume assessment. As manager of the Exploration Excellence Team, he performed in depth analysis of basins and plays and provided advice on exploration opportunities to senior management. Together with his team, he visited most of Shell's exploration offices, working hands-on with Shell's local exploration teams to generate new play and prospect ideas and to suggest evaluation techniques and technologies to apply. In 2010, he was appointed as extraordinary professor Regional and Petroleum Geology at the VU university of Amsterdam and in 2012 also at the University of Utrecht. He was visiting professor at the University of Malaya (Malaysia). Through his own consultancy, as of 2010, he provides advice on exploration activities to several companies and is regularly invited to carry out technical reviews. Activities cover all continents and include Portfolio Reviews, Prospect assessment, Play-based Exploration, and Geothermal activities. He conducts courses on several topics including Risk & Volume Assessment, Prospect Maturation, Basin Analysis, Play-based Exploration, Trap & Seal Analysis, Petroleum Geology for Non-geologists. Some of his recent publications include: De Jager, J. & van Winden, M. (2020): Play-Based Exploration of the petroleum potential of the Tremp-Graus, Aínsa and eastern Jaca Sub-basins in the southern Pyrenees. Invited contribution for Digital Geology, EAGE special publication (eds: Grötsch, J. & Pöppelreiter, M.) De Jager, J. (2020). Concepts of Conventional Petroleum Systems. Invited contribution for Regional Geology and Tectonics Volume 1: Global Concepts, Techniques and Methodology (eds: Adam, J., Chiarelly, D. & Scarselli, N.) De Jager, J. (2021): Handbook Risk & Volume Assessment. Self-published De Jager, J., Van Ojik, K & Smit, R. (2023 - in preparation): Geological Development of The Netherlands. In: Geology of The Netherlands (eds: Ten Veen, J., Vis, G-J., De Jager, J. @ Wong, T.) POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Duration 5 Days 30 CPD hours This course is intended for The C|CT is ideal for anyone looking to start their career in cybersecurity or add a strong foundational understanding of the cybersecurity concepts and techniques required to be effective on the job. The course is especially well suited to: Early-career IT professionals, IT managers, career changers, and career advancers Students and recent graduates Overview After completing this course, you will understand: Key concepts in cybersecurity, including information security and network security Information security threats, vulnerabilities, and attacks The different types of malware Identification, authentication, and authorization Network security controls Network security assessment techniques and tools (threat hunting, threat intelligence, vulnerability assessment, ethical hacking, penetration testing, configuration and asset management) Application security design and testing techniques Fundamentals of virtualization, cloud computing, and cloud security Wireless network fundamentals, wireless encryption, and related security measures Fundamentals of mobile, IoT, and OT devices and related security measures Cryptography and public-key infrastructure Data security controls, data backup and retention methods, and data loss prevention techniques Network troubleshooting, traffic and log monitoring, and analysis of suspicious traffic The incident handling and response process Computer forensics and digital evidence fundamentals, including the phases of a forensic investigation Concepts in business continuity and disaster recovery Risk management concepts, phases, and frameworks EC-Council?s C|CT certification immerses students in well-constructed knowledge transfer. Training is accompanied by critical thinking challenges and immersive lab experiences that allow candidates to apply their knowledge and move into the skill development phase in the class itself. Upon completing the program, C|CT-certified professionals will have a strong foundation in cybersecurity principles and techniques as well as hands-on exposure to the tasks required in real-world jobs. Course Outline Information Security Threats and Vulnerabilities Information Security Attacks Network Security Fundamentals Identification, Authentication, and Authorization Network Security Controls: Administrative Controls Network Security Controls: Physical Controls Network Security Controls: Technical Controls Network Security Assessment Techniques and Tools Application Security Virtualization and Cloud Computing Wireless Network Security Mobile Device Security Internet of Things (IoT) and Operational Technology (OT) Security Cryptography Data Security Network Troubleshooting Network Traffic Monitoring Network Log Monitoring and Analysis Incident Response Computer Forensics Business Continuity and Disaster Recovery Risk Management

OpenSSL for engineers training course description A hands on course covering OpenSSL. The course focusses on the use of OpenSSL from the command line as opposed to using its extensive libraries. Certificate authorities are configured along with key generation, HTTPS and a SSL VPN. What will you learn Describe OpenSSL. Use OpenSSL. Describe and implement: Explain how the various technologies involved in an OpenSSL work. OpenSSL for engineers training course details Who will benefit: Network personnel. Prerequisites: IP security foundation for engineers Duration 2 days OpenSSL for engineers training course contents What is OpenSSL? What is SSL? SSL versions, TLS, TLS negotiation, TLS authentication, What is OpenSSL, Command line tool, SSL library. OpenSSH, OpenVPN. Hands on TLS packet analysis. Getting started with OpenSSL Downloading, source code, packages, installing, versions, configuration, openssl command. Cipher suite selection. Hands on Encrypting a file with openssl. Public and private keys Algorithms, creating keys, public keys, private keys, encrypting the private key. Hands on Encrypting a file with keys. Digital signatures Creating signatures, checking validity of signatures, Self signing SSL certificates. Viewing certificates. Certificate files. Converting between formats. Hands on Securing a web server with HTTPS. Simple PKI with OpenSSL Root CA, signing CA, configuration files, Certificate signing requests. Email certificates, TLS server certificates. Hands on Implementing a simple PKI with OpenSSL.

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Video coding training course description This course investigates the characteristics of video coding with an emphasis on compression and the standards used in IP networks. What will you learn Explain how video coding works. Describe the main video coding standards. Evaluate and compare the major video coding standards. Video coding training course details Who will benefit: Anyone working with MPEG. Prerequisites: None. Duration 2 days Video coding training course contents Introduction Video coding systems, encoding, transmission, decoding. Digital video formats: Old formats (CIF…), PC formats (VGA…), SD, HD, UHD. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing. Codec types Lossy, lossless, uncompressed. Quality, bandwidth. Video Fps, bitstreams, pictures, frames, fields. Aspect ratios. Colour Colour perception, RGB, YUV, YCbCr sampling, 4:00, 4:2:0, 4:2:2, 4:4:4. Hybrid video coding scheme Picture partitioning, intra prediction, inter prediction, motion estimation, residual coding, in loop filtering, entropy coding. Containers Relationship with codecs, audio, video. Audio Video Interleave (.avi), .asf, QuickTime, AVCHD, Flash, .mp4, 3gp. MPEG-TS. MPEG Analysing MPEG frames. Video coding standards H.264/AVC: Profiles MPEG, bit rates, resolution. I, B, P frames, GOP. MPEG 2, MPEG 4, H.264, H.265, VP9, AV1. Hands onand levels, how it works. H.265/HEVC: Profiles and levels, Quadtrees, slices, how it works. Open video coding: VP8, VP9, AV1.

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