1695 Computing courses in Epsom delivered Live Online

  During this training course, you will gain a comprehensive knowledge of a process model for designing and developing an organizational incident management plan. The compatibility of this training course with ISO/IEC 27035 also supports the ISO/IEC 27001 by providing guidance for Information Security Incident Management. After mastering all the necessary concepts of Information Security Incident Management, you can sit for the exam and gain "Certified ISO 27035 Lead Incident Manager" Certification. By holding this certification, you will be able to demonstrate that you have the practical knowledge and professional capabilities to support and lead a team in managing Information Security Incidents. About This Course   Learning objectives   Master the concepts, approaches, methods, tools and techniques that enable an effective Information Security Incident Management according to ISO/IEC 27035 Acknowledge the correlation between ISO/IEC 27035 and other standards and regulatory frameworks Acquire the expertise to support an organization to effectively implement, manage and maintain an Information Security Incident Response plan Acquire the competence to effectively advise organizations on the best practices of Information Security Incident Management Understand the importance of establishing well-structured procedures and policies for Incident Management processes Develop the expertise to manage an effective Incident Response Team   Course Agenda   Day 1: Introduction to Information Security Incident Management concepts as recommended by ISO/IEC 27035 Day 2: Designing and preparing an Information Security Incident Management plan Day 3: Enacting the Incident Management process and handling Information Security incidents Day 4: Monitoring and continual improvement of the Information Security Incident Management plan and the Exam.   Additional Information   Certification fees are included in the exam price. An attendance record worth 31 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course. In case candidates fail the exam, they can retake it within 12 months of the initial attempt for free. Accreditation Assessment     Delegates sit a combined exam, consisting of in-course quizzes and exercises, as well as a final 12 question, essay type exam on Day 4 of the course. The overall passing score is 70%, to be achieved within the 150 minute time allowance. Exam results are provided within 24 hours, with both a Certificate and a digital badge provided as proof of success.   Our Guarantee   We are an Accredited Training Provider of the IECB. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam. Prerequisites   A fundamental understanding of ISO/IEC 27035 and comprehensive knowledge of Information Security.  What's Included?   Delegates will be provided with; Course Slide deck Questions and Answers Bank Participant Guide Who Should Attend?   Information Security Incident managers IT Managers IT Auditors Managers seeking to establish an Incident Response Team (IRT) Managers seeking to learn more about operating effective IRTs Information Security risk managers IT system administration professionals IT network administration professionals Members of Incident Response Teams Individuals responsible for Information Security within an organization Provided by   This course is Accredited by NACS and Administered by the IECB

Aligned with the AIGP certification program, AI Governance Professional Training is for professionals tasked with implementing AI governance and risk management in their organizations. It provides baseline knowledge and strategies for responding to complex risks associated with the evolving AI landscape. This training meets the rapidly growing need for professionals who can develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies. About This Course This training teaches critical artificial intelligence governance concepts that are also integral to the AIGP certification exam. While not purely a 'test prep' course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.   Module 1: Foundations of artificial intelligence Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context. Module 2: AI impacts on people and responsible AI principles Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI. Module 3: AI development life cycle Describes the AI development life cycle and the broad context in which AI risks are managed. Module 4: Implementing responsible AI governance and risk management Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI systems' potential societal benefits. Module 5: Implementing AI projects and systems Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and managing and monitoring AI systems after deployment. Module 6: Current laws that apply to AI systems Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of liability reform. Module 7: Existing and emerging AI laws and standards Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed. Module 8: Ongoing AI issues and concerns Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues. Accreditation The associated exam is accredited by the IAPP under its ANSI Accreditation Who Should Attend? Any professionals tasked with developing AI governance and risk management in their operations, and anyone pursuing IAPP Artificial Intelligence Governance Professional certification. Prerequisites A general understanding of AI, Corporate Governance, and Business value would be of benefit to participants. Assessment As with all IAPP exams, the AIGP is a 90 question, multiple choice exam to be completed within 150 minutes. Exams are hosted by Pearsonvue and can be taken either remotely, or via any one of hundreds of exam venues globally. A passing score is achieved at 70% Our Guarantee We are an approved IAPP training provider Exam pass guarantee, or retrain until you do, for free What's Included? Participant Guide Study Guide Practice Exam Exam voucher Breakfast, lunch, coffees and snacks (Classroom courses only) Certification Logo

Firewalls training course description A technical hands on training course covering firewall technologies. This focuses on the whys and hows of firewall technology rather than looking at manufacturer specific issues. What will you learn Design secure firewall protected networks. Test firewalls. Evaluate firewalls Configure firewalls Firewalls training course details Who will benefit: Technical staff wanting to learn about Filrewalls including: Technical network staff. Technical security staff. Prerequisites: IP security foundation for engineers Duration 2 days Firewalls training course contents Firewall introduction Security review, what is a firewall? What do firewalls do? Firewall benefits, concepts. Hands on Configuring the network to be used in later labs, launching various attacks on a target. Firewall types Packet filtering, SPI, Proxy, Personal. Software firewalls, hardware firewalls, blade based firewalls, personal firewalls, which firewall should you use? Firewall products. Hands on Configuring a simple firewall. Packet filtering firewalls Things to filter in the IP header, stateless vs. stateful filtering. ACLs. Advantages of packet filtering. Hands on Configuring packet filtering firewalls. Stateful packet filtering Stateful algorithms, packet-by-packet inspection, application content filtering, tracks, special handling (fragments, IP options), sessions with TCP and UDP. Firewall hacking detection: SYN attacks, SSL, SSH interception. Hands on Stateful packet inspection firewalls. Proxy firewalls Circuit level, application level, SOCKS. Proxy firewall advantages and disadvantages. Hands on Proxy firewalls. Personal firewalls The role of personal firewalls, Windows XP, Zonealarm. Hands on Configuring a personal firewall. Firewall architectures Home based, small office, enterprise, service provider, what is a DMZ? DMZ architectures, bastion hosts, multi DMZ. Virtual firewalls, transparent firewalls. Dual firewall design, high availability, load balancing, VRRP. Hands on Resilient firewall architecture. Securing communications VPNs, IPsec. Firewall configuration of VPNs, integration of dedicated VPN devices and firewalls. Hands on IPSec VPN configuration. Testing firewalls Configuration checklist, testing procedure, monitoring firewalls, logging, syslog. Hands on Testing firewalls.

SIP security training course description A hands-on course covering SIP security. It is assumed that delegates already know SIP as this course focuses purely on the security issues in SIP IP telephony networks. Hands-on practicals follow each major theory session and include use of various SIP security tools such as vomit, sipp, sipsak and sivus amongst others. What will you learn Secure SIP networks Use various SIP security tools SIP security training course details Who will benefit: Technical staff working with SIP. Technical security staff. Prerequisites: SIP for engineers Duration 2 days SIP security training course contents SIP review SIP infrastructure and entities, example SIP session. Hands on Simple SIP network with and without authentication. SIP security attacks DOS attacks, infrastructure attacks, eavesdropping, spoofing, replay, message integrity. Hands on Basic SIP packet capture, infrastructure attacks. SIP tools SIP packet creation: Sivus, SIPsak, PROTOS, SFTF, SIP bomber, SIPp, Seagull, Nastysip. SIP packet generators: SIPNess, NetDude. Monitoring: Wireshark, Cain & Abel, Vomit, Oreka, VoiPong. Scripts and tools: SIP-Fun, Skora.net, kphone-ddos, sip-scan, sip-kill, sip-redirectrtp. Health of different tools. Hands on Generating SIP packets, rebuilding conversations from captured packets, password cracking. VPNs and SIP IPSec, AH, ESP, transport mode, tunnel mode, Pre Shared Keys, Public keys. Hands on SIP calls over IPSec. Secure SIP signaling SIP relationship with HTTP, Deprecated HTTP 1.0 basic authentication, HTTP 1.1 Digest authentication, S/MIME, SIPS, SIPS URI, TLS, DTLS, PKI infrastructures. Hands on SIP with TLS. Secure media streams SRTP, features, packet format, default encryption, default authentication, key distribution. S/MIME, MIKEY, SDP security descriptions. SIP security agreements. Hands on Analysing SRTP packets. Firewalls NAT traversal. Impact of firewall on infrastructure attacks. TLS and firewalls. SIP specific firewalls. Hands on SIP calls through a firewall.

Peering at LINX training course description A one or two day induction course covering the technical procedures of LINX along with correct interaction with LINX and LINX members. This course focuses on the implementation of the technologies within the LINX network. For those already competent in BGP the one day version of this course is sufficient. What will you learn Explain the role of LINX in the Internet. Correctly connect to LINX. Recognise the correct procedures for peering at LINX. Use the current Best Current Practices. Peering at LINX training course details Who will benefit: Technical staff of new LINX members. Technical staff of companies preparing to join LINX. Non technical staff may also benefit from this course. Prerequisites: None. (For technical staff with BGP knowledge 1 day) Duration 1 to 2 days Peering at LINX training course contents Introduction and review Networks, The Internet, IP, routers, Autonomous systems, the structure of the Internet, the role of Internet Exchanges. BGP and peering. LINX, EuroIX, RIPE. What you get when you join LINX. LINX products: Connexions, Virtual PoPs, Colocation resales, LINX from anywhere. LINX infrastructure The original architecture, The growth of LINX, the current topology. LINX London locations. Dual LAN topology. LON1, LON2. Use of MPLS to connect London sites. Regional peering: LINX NoVa, LINX Manchester, LINX Wales, LINX Scotland, ManxIX, JEDIX. Connecting with LINX nnecting with LINX Locations. 1/10/100/400G. Interface specifications. Link aggregation. The racks and space provided, access to the racks, connecting WAN circuits into LINX. The connection form, How to link your ISP with LINX, switch assignments, limits on traffic, average measured traffic, getting statistics from LINX, Using looking glass. Allowed traffic. Port security Configuration hints LINX IP details, IPv4, IPv6, PTR records, Cisco base configuration, Juniper base configuration. Peering with other LINX members Preparing for peering, the peering template, setting up the peering, RFC 2142, the RIPE database, contacts, peeringdb.net, solving downed BGP sessions, escalation procedures. Peering configuration hints Cisco BGP configuration, Juniper BGP configuration. LINX additional services Private interconnect, LINX time service. NTP, Strata. The LINX route server Bi lateral peering, Multi lateral peering. How the LINX route server is configured. Use of communities on the route server, template for peering with the route server. Summary Getting further information, the LINX website, the LINX mailing lists.

Fibre splicing training course description A short, concise hands on fibre optic cable splicing course providing comprehensive coverage of fibre splicing. Over 50% of the course is practical based. What will you learn Prepare cable for splicing. Splice fibre optic cable. Fibre splicing training course details Who will benefit: Those wishing to be able to splice fibre. Prerequisites: None. Duration 1 day Fibre splicing training course contents Fibre optic essential review Fibre cable types. SMF, MMF. Safe working practices. Cable handling issues. Hands on: Handling fibre optic cable. Preparing fibre for splicing Cutting and stripping tools, cleaving methods, fibre cleaning materials. Hands on: Fibre preparation. Splicing Joining fibres, splicers, fusion splicing, mechanical splicing, splicing procedure. cleaving, splicing parameters. Splicing vs. connectors. Which splice? Hands on: Splicing fibre. Splice loss mechanisms End gap, concentricity, end angle, NA mismatch, finish and dirt, coaxiality, Axial run out, core mismatch, back reflection. Testing Testing successful fibre splicing. Hands on: Testing spliced fibre.

Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution

SAFe® for Architects: In-House Training Enable continuous value flow by aligning technical strategy with business goals, communicating that strategy to development teams, and applying Agile architecture practices. Attendees can improve collaboration and alignment in a SAFe® Lean-Agile enterprise when they become a SAFe® 5 Architect. The SAFe® for Architects course prepares System, Solution, and Enterprise Architects to engage across the organization as effective leaders and change agents who collaboratively deliver architectural solutions. During this course, attendees will explore the roles, responsibilities, and mindset of Agile Architects, and appreciate how to align architecture with business value and drive continuous flow to large systems of systems while supporting SAFe® program execution. What you will Learn To perform the role of a SAFe® Architect, you should be able to: Architect using SAFe® principles Align architecture with business value Develop and communicate architecture vision and intent Plan architectural runway to enable delivery success Architect for continuous delivery and Release on Demand Lead and coach architects and team members during Program Increment (PI) Planning and execution Provide leadership during a Lean-Agile transformation Exemplifying Lean-Agile architecture Architecting for DevOps and Release on Demand Aligning architecture with business value Developing Solution Vision, Solution Intent, and Roadmaps Preparing architecture for Program Increment (PI) Planning Coordinating architecture throughout PI Planning Supporting Continuous Delivery during PI execution Supporting new Strategic Themes and Value Streams Leading as an architect during a Lean-Agile transformation

SAFe® for Architects: Virtual In-House Training Enable continuous value flow by aligning technical strategy with business goals, communicating that strategy to development teams, and applying Agile architecture practices. Attendees can improve collaboration and alignment in a SAFe® Lean-Agile enterprise when they become a SAFe® 5 Architect. The SAFe® for Architects course prepares System, Solution, and Enterprise Architects to engage across the organization as effective leaders and change agents who collaboratively deliver architectural solutions. During this course, attendees will explore the roles, responsibilities, and mindset of Agile Architects, and appreciate how to align architecture with business value and drive continuous flow to large systems of systems while supporting SAFe® program execution. What you will Learn To perform the role of a SAFe® Architect, you should be able to: Architect using SAFe® principles Align architecture with business value Develop and communicate architecture vision and intent Plan architectural runway to enable delivery success Architect for continuous delivery and Release on Demand Lead and coach architects and team members during Program Increment (PI) Planning and execution Provide leadership during a Lean-Agile transformation Exemplifying Lean-Agile architecture Architecting for DevOps and Release on Demand Aligning architecture with business value Developing Solution Vision, Solution Intent, and Roadmaps Preparing architecture for Program Increment (PI) Planning Coordinating architecture throughout PI Planning Supporting Continuous Delivery during PI execution Supporting new Strategic Themes and Value Streams Leading as an architect during a Lean-Agile transformation

ITIL® 4 Foundation: In-House Training ITIL® 4 is built on the established core of best practice in the ITIL® guidance. ITIL® 4 provides a practical and flexible approach to move to the new world of digital transformation and embrace an end-to-end operating model for the delivery and operation of products and services. ITIL® 4 also provides a holistic end-to-end picture that integrates frameworks such as Lean IT, Agile, and DevOps. The ITIL® 4 Foundation is based on the exam specifications specified by AXELOS for the ITIL® 4 Foundation certification. The fundamental objective of this course is to help the participants understand the key concepts of service management and the ITIL® 4 service management framework and prepare for the ITIL® 4 Foundation exam. In addition, this course offers a rich learning experience that helps the participants relate ITIL® to their own work environment. The course includes a case study (based on a fictitious organization, 'Axle Car Hire') that will help the participants understand and experience the ITIL® guiding principles, service value, practices through real-world challenges and opportunities. The rich learning experience is supported by additional learning tools such as pre-course reading materials, post-course reading material, and a set of quick reference cards. What You Will Learn At the end of this program, you will be able to: Understand the key concepts of ITIL® service management Understand how ITIL® guiding principles can help an organization to adopt and adapt ITIL® service management Understand the four dimensions of ITIL® service management Understand the purpose and components of the ITIL® service value system, and activities of the service value chain, and how they interconnect Understand the key concepts of continual improvement Learn the various ITIL® practices and how they contribute to value chain activities Course Introduction Let's Get to Know Each Other Course Overview Course Learning Objectives Course Structure Course Agenda Introduction to IT Service Management in the Modern World Introduction to ITIL® 4 Structure and Benefits of ITIL® 4 Case Study: Axle Car Hire Case Study: Meet the Key People at Axle Case Study: The CIOs Vision for Axle Exam Details ITIL® 4 Certification Scheme Service Management - Key Concepts Intent and Context Key Terms Covered in the Module Module Learning Objectives Value and Value Co-Creation Value: Service, Products, and Resources Service Relationships Value: Outcomes, Costs, and Risks Exercise: Multiple-Choice Questions The Guiding Principles Intent and Context Identifying Guiding Principles Key Terms Covered in the Module Module Learning Objectives The Seven Guiding Principles Applying the Guiding Principles Exercise: Multiple-Choice Questions The Four Dimensions of Service Management Intent and Context The Four Dimensions Key Terms Covered in the Module The Four Dimensions and Service Value System Module Learning Objectives Organizations and People Information and Technology Partners and Suppliers Value Streams and Processes External Factors and Pestle Model Exercise: Multiple-Choice Questions Service Value System Intent and Context Service Value System and Service Value Chain Module Learning Objectives Overview of Service Value System Overview of the Service Value Chain Exercise: Multiple-Choice Questions Continual Improvement Intent and Context Key Terms Covered in the Module Introduction to Continual Improvement Module Learning Objectives The Continual Improvement Model Relationship between Continual Improvement and Guiding Principles Exercise: Multiple-Choice Questions The ITIL® Practices Intent and Context ITIL® Management Practices Key Terms Covered in the Module Module Learning Objectives The Continual Improvement Practice The Change Control Practice The Incident Management Practice The Problem Management Practice The Service Request Management Practice The Service Desk Practice The Service Level Management Practice Purpose of ITIL® Practices Exercise: Crossword Puzzle