10294 Mac courses delivered Online

Essential 5G training course description This course is designed to give delegates an explanation of the technologies and interworking requirements of the next generation of cellular communications. It is not a definitive set of descriptions but a possibility of the final deployment. we will investigate the 10 pillars for 5G which will include various Radio Access Technologies that are required to interwork smoothly. We will look at the 4G Pro features and other RATs. What will you learn List the ten pillars of 5G deployment. Describe the 5G Internet. Explain virtualization and RAT virtulization. Describe Software Defined Networks (SDN). Explain carrier aggregation. Describe the mobile cloud. Explain an overall picture of 5G architecture. Essential 5G training course details Who will benefit: Anyone looking for an understanding of the technologies and interworking requirements of the next generation of cellular communications. Prerequisites: None. Duration 3 days Essential 5G training course contents Drivers for 5G 5G Road Map, 10 Pillars of 5G, evolving RATs, oSON, MTCm, mm-wave, backhaul, EE, new spectrum, spectrum sharing, RAN virtualisation. 4G LTE Advanced MIMO technology in release 8, Downlink & uplink MIMO R8, MIMO technology in LTE advanced, Downlink 8-layer SU-MIMO, Downlink MU-MIMO, Uplink MU-MIMO, Uplink transmit diversity, Coordinated multi-point operation (CoMP), Independent eNB & remote base station configurations, Downlink CoMP. ICIC & eICIC ICIC, Homogeneous to heterogeneous network evolution, Introduction to eICIC, Macro-pico scenario, Macro-femto scenario, Time orthogonal frequencies. Almost Blank Subframe (ABS). Carrier aggregation Component carriers (CC), CC aggregation deployments, Intra-band contiguous solutions, Intra-band non-contiguous solutions, Inter-band non-contiguous solutions, CA bandwidth classes, Aggregated transmission bandwidth configurations (ATBC), Possible carrier aggregation configs. eIMTA TDD UL-DL reconfig. for traffic adaptation, Reconfig. mechanisms, Interference mitigation schemes, Dynamic & flexible resource allocation. 5G architectures 5G in Europe, horizon 2020 framework, 5G infrastructure PPP, METIS project, 5G in North America, academy research, company R&D, 5G specifications. The 5G internet High-level view of Cloud Services, The Internet of Things & context awareness, Network reconfiguration & virtualization support, server proliferation, how VMs fix underutilised server problem, enter the hypervisor, why are VM such a big deal? SDN, evolution of the data centre network, high availability, low latency, scalability, security, cost model explodes, service-oriented API. OpenFlow switches, OpenFlow controllers, how SDN works. The big picture, pulling it all together, why the network had to change, how SDN & NFV tie together. Evolutionary approach to the internet, architectures for distributed mobility management, MEDIEVAL & MEDIVO projects, a clean slate approach, mobility first architecture. VNet, INM, NetInf, ForMux, MEEM. Generic Path (GP) & anchorless mobility (AM), Quality of Service support, network resource provisioning, resourcing inside a network. IntServ, RSVP, DiffServ, CoS. Emerging approach for resource over- provisioning, example use case architecture for scalable resource control scenarios in the 5G internet. Integrating SDN/NFV for efficient resource over-reservation control, control information repository, service admission control policies, network resource provisioning, control enforcement functions, network configurations & operations. Small cells for 5G Average spectral efficiency evolution, WiFi & Femto cells, Capacity limits. Achievable gains with densifications, multi-antenna techniques, small cells. Mobile data demand, approach & methodology, subscriber density and traffic demand projections to 2020. Demand versus capacity, global mobile data traffic increase modelling, country level backhaul traffic projections, Small cell challenges, backhaul, spectrum, automation. Cooperation for next gen wireless networks Diversity & relaying strategies, cooperation & network coding, ARQ & MAC protocols, NCCARQ & PRCSMA packet exchange, Physical layer impact on MAC protocol analysis, NCCARQ overview, PHY layer impact, Case study on NCCARQ. Mobile clouds Mobile cloud, Mobile cloud enablers, mobile user domain, wireless technologies, WWAN WLAN and WPAN range, Bluetooth, IEEE.802.15.4 & software stacks, infrared, near field communications (NFC). Network coding, store & forward vs compute & forward, linear network coding, random linear coding. Security for 5G communications Potential 5G communication systems architectures, Security issues & challenges. Mobile malware attacks targeting the UE, 5G mobile botnets, access networks, attacks on 4G networks, C-RNTI & packet sequence number based UE location tracking, false buffer status reports attacks, message insertion attacks, HeNB attacks, physical attacks, credential attacks, configuration and protocol attacks, attacks on MON, user data & identity attacks, mobile operator's core network, DDoS attacks targeting MON, signalling amplification, HSS saturation, external IP networks.

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

Penetration testing training course description An advanced technical hands on course focusing on hacking and counter hacking. The course revolves around a series of exercises based on "hacking" into a network (pen testing the network) and then defending against the hacks. What will you learn Perform penetration tests. Explain the technical workings of various penetration tests. Produce reports on results of penetration tests. Defend against hackers. Penetration testing training course details Who will benefit: Technical support staff, auditors and security professionals. Staff who are responsible for network infrastructure integrity. Prerequisites: IP Security IP VPNs Duration 5 days Penetration testing training course contents Introduction Hacking concepts, phases, types of attacks, 'White hacking', What is penetration testing? Why use pen testing, black box vs. white box testing, equipment and tools, security lifecycles, counter hacking, pen testing reports, methodologies, legal issues. Physical security and social engineering Testing access controls, perimeter reviews, location reviews, alarm response testing. Request testing, guided suggestions, trust testing. Social engineering concepts, techniques, counter measures, Identity theft, Impersonation on social media, Footprints through social engineering Reconnaissance (discovery) Footprinting methodologies, concepts, threats and countermeasures, WHOIS footprinting, Gaining contacts and addresses, DNS queries, NIC queries, ICMP ping sweeping, system and server trails from the target network, information leaks, competitive intelligence. Scanning pen testing. Gaining access Getting past passwords, password grinding, spoofed tokens, replays, remaining anonymous. Scanning (enumeration) Gaining OS info, platform info, open port info, application info. Routes used, proxies, firewalking, Port scanning, stealth port scanning, vulnerability scanning, FIN scanning, Xmas tree scanning, Null scanning, spoofed scanning, Scanning beyond IDS. Enumeration concepts, counter measures and enumeration pen testing. Hacking Hacking webservers, web applications, Wireless networks and mobile platforms. Concepts, threats, methodology, hacking tools and countermeasures. Trojan, Backdoors, Sniffers, Viruses and Worms Detection, concepts, countermeasures, Pen testing Trojans, backdoors, sniffers and viruses. MAC attacks, DHCP attacks, ARP poisoning, DNS poisoning Anti-Trojan software, Malware analysis Sniffing tools. Exploiting (testing) vulnerabilities Buffer overflows,, simple exploits, brute force methods, UNIX based, Windows based, specific application vulnerabilities. DoS/DDoS Concepts, techniques, attack tools, Botnet, countermeasures, protection tools, DoS attack pen testing. SQL Injection Types and testing, Blind SQL Injection, Injection tools, evasion and countermeasures. Securing networks 'Hurdles', firewalls, DMZ, stopping port scans, IDS, Honeypots, Router testing, firewall testing, IDS testing, Buffer Overflow. Cryptography PKI, Encryption algorithms, tools, Email and Disk Encryption. Information security Document grinding, privacy.

Carrier Ethernet training course description Ethernet is now the interface of choice for nearly all networking. This comprehensive course looks at the ways carriers can provide this Ethernet interface for their WANs and MANs. The course assumes delegates already have a solid foundation in Ethernet switching and so concentrates on just the Ethernet technologies for Carrier Ethernet. What will you learn Describe the main Carrier Ethernet services. Evaluate transports for Carrier Ethernet. Explain how Ethernet can work over MPLS and SDH. Explain the Ethernet technologies used to enable Carrier Ethernet. Carrier Ethernet training course details Who will benefit: Network engineers. Staff working for carriers. Prerequisites: Definitive Ethernet switching for engineers. Duration 2 days Carrier Ethernet training course contents Introduction What is Ethernet? LANs, MANs, WANs, Ethernet and switches in the LAN. Traditional LAN/WAN integration, routers. The Ethernet interface for the WAN. Standards: IEEE, MEF, OIF, Ethernet Alliance. Carrier Ethernet Services E-line: EPL, EVPL. E-LAN: EP-LAN, EVP-LAN. E-Tree: EP-Tree, EVP-Tree. Ethernet Services attributes. Applications: Carrier Ethernet for businesses, Mobile backhaul. Multicasting. Service attributes Bandwidth profiles, bandwidth parameters, Class of Service, QoS, MTU, Protection mechanisms: STP, RSTP, MSTP, Link aggregation, G.8031, G.8032. Transporting Carrier Ethernet The main options. 'Pure' Ethernet, Ethernet over SDH, Ethernet over WDM, Ethernet over MPLS. Ethernet switching, addresses and MAC address tables. Carrier Ethernet access technologies. EFM. Ethernet over MPLS What is MPLS, MPLS-TE, MPLS-VPN, L2 VPNs, VPLS, VPWS. MPLS Fast Reroute. CET 'Pure' Ethernet, Provider bridging 802.1d, Provider Backbone Bridges 802.1ah. Traffic engineering 802.1Qay. Carrier Ethernet technologies 802.1ad VLAN stacking, 802.1AX Link aggregation. 802.1Q QoS. OAM Standards, layers, interworking

CompTIA A+ bootcamp training course description This course includes A+ Certification: Systems Hardware and Networking Support Skills and A+ Certification: Operating Systems and Security Support Skills. The course will provide IT "super users" or new support professionals with the fastest route to A+ Certification. Full practical sessions will prepare students for the two A+ Certification exams. Note: Some self-study each evening will be required. What will you learn Install, configure, and troubleshoot peripheral devices, system components, print devices, wired and wireless LAN links and internet access devices. Install, configure, and troubleshoot the Microsoft Windows, Linux, and Mac OS PC operating systems plus iOS, Android, and Windows mobile devices. Perform basic PC maintenance. Configure access control measures. Perform basic PC maintenance. CompTIA A+ bootcamp training course details Who will benefit: Students wishing to take both CompTIA A+ exams. Prerequisites: PC fundamentals Duration 5 days Networking Microsoft Systems course contents Peripherals and Adapters Motherboard Components, Connection Interfaces, Display Devices, Audio and Multimedia Devices, Removable Storage Devices. System Components Mass Storage Devices, System Memory, Processors, BIOS and UEFI, Power Supplies. Troubleshooting and Mobile Devices Troubleshooting System Components, Laptops, Mobile Devices, Troubleshooting Mobile Devices. Printer and Network Hardware Printers, Configuring Printers, Troubleshooting Printers, Network Architectures, Ethernet Networks. Networks Wireless Networks, Internet Connections, Internet Protocol, Routers and Firewalls, Troubleshooting Networks. Supporting Windows (1) Windows Operating System, Administration Tools, Managing Storage, Managing Files, Managing Applications. Supporting Windows (2) Managing Devices, Managing Performance, Troubleshooting Windows, Installing Windows. Supporting Windows Troubleshooting Boot Problems, Maintenance and Backup, Threats and Vulnerabilities, Viruses and Malware, Securing Workstations, Securing Data. Supporting Windows Networks Configuring Network Connections, Securing Network Connections, Configuring Shared Resources, Virtualization and Services. Linux, OS X, and Mobile OS Linux Operating System, OS X, Mobile Operating Systems, Mobile OS Security and Troubleshooting, Safety and Environmental Procedures, Professionalism and Communication.

With expert guidance and easy-to-understand narration, this course gets you up and running with the SwiftUI framework. You will learn how to use the SwiftUI framework, its tools, and its technology to build applications with ease.

Total TRILL training course description A comprehensive look at Transparent Interconnection of Lots of Links (TRILL). This TRILL course starts with the problems in traditional switched networks then moves onto to how TRILL solves these problems. As IS -IS is key to loop free topologies in TRILL networks, this protocol is also studied. What will you learn Explain the benefits of TRILL. Explain how TRILL works. Explain the role of IS-IS in TRILL. Integrate TRILL into existing networks. Total TRILL training course details Who will benefit: Technical staff working with Ethernet. Prerequisites: Definitive Ethernet switching for engineers Duration 1 day Total TRILL training course contents What is TRILL? Layer 2 versus Layer 3, STP problems: One path, convergence, MAC explosion. TRILL switches, RBridges, TRILL campus. TRILL standards TRILL components RBridges, mixing Rbridges with bridges, appointed forwarders. IS-IS Link layer IS-IS, SPF trees, traffic management. IS-IS extensions for TRILL. ISIS TLV. How TRILL works TRILL IS-IS hello discovery, Designated bridge, IS-IS flooding, Appointed forwarder, unicast versus multi-destination frames. TRILL nicknames. TRILL packet headers Local link header, TRILL header. TRILL over Ethernet, TRILL over PPP. VLANs. Fine grained labelling. TRILL BFD. TRILL OAM. Frame overheads. TRILL comparisons MPLS, IP, 802.1aq.

Learn Flutter - Google's mobile development framework - and build Flutter iOS and Android apps using a single codebase

Total MPLS VPN for engineers training course description A hands on course concentrating solely on MPLS VPNs. The course begins with a review of VPN basics before moving onto L3VPNs and MBGP, followed by L2VPNs. What will you learn Compare, contrast and evaluate MPLS L2VPNs versus L3VPNs. Describe, configure and troubleshoot MPLS L3VPNs. Configure and troubleshoot MBGP. Describe, configure and troubleshoot MPLS L2VPNs. Total MPLS VPN for engineers training course details Who will benefit: Anyone working with MPLS VPNs. Prerequisites: Concise MPLS for engineers Duration 2 days Total MPLS VPN for engineers training course contents MPLS VPN basics LSR, PE and P router roles. What is a VPN? MPLS VPN types, MPLS VPN comparison, MPLS L3VPN, L2VPN. VPN architectures. Hands on: Building the base network. L3VPN Separate routing tables, The Virtual Routing Table, VRFs, Route Distinguisher (RD), VNPv4 addresses. Hands on: Minimal VRF configuration, routing between customer and provider (PE-CE). MBGP MP-BGP, IPv4 routing, IPv6 routing, VPNv4 addresses, VPNv6 addresses. Exchanging labels. Exchanging routes. Route targets, communities. Route reflectors. Hands on: MBGP setup. MPLS L3VPN troubleshooting. L2VPN Why L2 not L3? Services: TDM, ATM, Frame Relay, Ethernet. Pseudowires. Hands on: Simple L2VPN configuration. Pseudowires VPWS, AToM, Attachment Circuit, Traffic encapsulation, Ethernet over MPLS. Ethernet MTU considerations. VC types. Hands on: PW configuration and troubleshooting. VPLS Ethernet multipoint connectivity. Virtual Forwarding Instance (VFI), Virtual Switching Instance. Flooding, MAC address management, split horizons. Hierarchical VPLS. Signalling: LDP based. BGP based. Auto discovery. Hands on: VPLS configuration and troubleshooting. Next generation L2VPN E-VPN, PBB-EVPN.

Security+ training course description A hands on course aimed at getting delegates successfully through the CompTia Security+ examination. What will you learn Explain general security concepts. Describe the security concepts in communications. Describe how to secure an infrastructure. Recognise the role of cryptography. Describe operational/organisational security. Security+ training course details Who will benefit: Those wishing to pass the Security+ exam. Prerequisites: TCP/IP foundation for engineers Duration 5 days Security+ training course contents General security concepts Non-essential services and protocols. Access control: MAC, DAC, RBAC. Security attacks: DOS, DDOS, back doors, spoofing, man in the middle, replay, hijacking, weak keys, social engineering, mathematical, password guessing, brute force, dictionary, software exploitation. Authentication: Kerberos, CHAP, certificates, usernames/ passwords, tokens, biometrics. Malicious code: Viruses, trojan horses, logic bombs, worms. Auditing, logging, scanning. Communication security Remote access: 802.1x, VPNs, L2TP, PPTP, IPsec, RADIUS, TACACS, SSH. Email: S/MIME, PGP, spam, hoaxes. Internet: SSL, TLS, HTTPS, IM, packet sniffing, privacy, Javascript, ActiveX, buffer overflows, cookies, signed applets, CGI, SMTP relay. LDAP. sftp, anon ftp, file sharing, sniffing, 8.3 names. Wireless: WTLS, 802.11, 802.11x, WEP/WAP. Infrastructure security Firewalls, routers, switches, wireless, modems, RAS, PBX, VPN, IDS, networking monitoring, workstations, servers, mobile devices. Media security: Coax, UTP, STP, fibre. Removable media. Topologies: Security zones, DMZ, Intranet, Extranet, VLANs, NAT, Tunnelling. IDS: Active/ passive, network/host based, honey pots, incident response. Security baselines: Hardening OS/NOS, networks and applications. Cryptography basics Integrity, confidentiality, access control, authentication, non-repudiation. Standards and protocols. Hashing, symmetric, asymmetric. PKI: Certificates, policies, practice statements, revocation, trust models. Key management and certificate lifecycles. Storage: h/w, s/w, private key protection. Escrow, expiration, revocation, suspension, recovery, destruction, key usage. Operational/Organisation security Physical security: Access control, social engineering, environment. Disaster recovery: Backups, secure disaster recovery plans. Business continuity: Utilities, high availability, backups. Security policies: AU, due care, privacy, separation of duties, need to know, password management, SLAs, disposal, destruction, HR policies. Incident response policy. Privilege management: Users, groups, roles, single sign on, centralised/decentralised. Auditing. Forensics: Chain of custody, preserving and collecting evidence. Identifying risks: Assets, risks, threats, vulnerabilities. Role of education/training. Security documentation.