1194 Courses in Cardiff delivered Live Online

At the end of the 5 days, Learners will attain an RQF Award in the requirements of FD&FA systems for non-domestic buildings BS 5839-1: 2017.

SAFe® for Government: In-House Training Transitioning to Lean-Agile practices for building technology-based capabilities is especially challenging in the government context. But issues of legacy governance, contracting, and organizational barriers can be overcome with the right information and strategies. During this course, attendees will learn the principles and practices of the Scaled Agile Framework® (SAFe®), how to execute and release value through Agile Release Trains, and what it means to lead a Lean-Agile transformation of a program inside a government agency. Attendees gain an understanding of the Lean-Agile mindset and why it's an essential foundation for transformation. They'll also get practical advice on building high-performing, multi-vendor Agile teams and programs, managing technology investments in Lean flow, acquiring solutions with Agile contracting, launching the program, and planning and delivering value using SAFe®. Attendees also learn how specific leadership behaviors can drive successful organizational change in government. What you will Learn To perform the role of a SAFe® for Government leader, you should be able to: Transition government programs from traditional software and systems development models to Lean-Agile and DevOps mindsets, principles, and practices using SAFe® Adapt technology strategy, budgeting and forecasting, acquisition, compliance, and governance processes to flow-based practices using emerging government guidelines Organize government programs into one or more Agile Release Trains (ARTs) and execute in Program Increments (PIs) Explore Large Solution coordination in a government and multi-vendor environment Identify and internalize the mindset and leader behaviors essential to successful Lean-Agile transformation Follow success patterns for SAFe® implementations adapted to the government context Build a preliminary outline of next steps to begin and / or accelerate the SAFe® implementation in your program or agency Advancing Lean-Agile in government Embracing a Lean-Agile mindset Understanding SAFe® Principles Creating high-performing Agile teams and programs Planning with cadence and synchronization Delivering value in Program Increments Mapping the path to agency and program agility Leading successful change

Learn from two decades of specialist equality & inclusion expertise and the pitfalls to avoid, plus adventures in self-discovery. Participants enjoy the engaging and motivational style, building up the confidence to apply deepened insights and practical tools.

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

SAFe® for Government: Virtual In-House Training Transitioning to Lean-Agile practices for building technology-based capabilities is especially challenging in the government context. But issues of legacy governance, contracting, and organizational barriers can be overcome with the right information and strategies. During this course, attendees will learn the principles and practices of the Scaled Agile Framework® (SAFe®), how to execute and release value through Agile Release Trains, and what it means to lead a Lean-Agile transformation of a program inside a government agency. Attendees gain an understanding of the Lean-Agile mindset and why it's an essential foundation for transformation. They'll also get practical advice on building high-performing, multi-vendor Agile teams and programs, managing technology investments in Lean flow, acquiring solutions with Agile contracting, launching the program, and planning and delivering value using SAFe®. Attendees also learn how specific leadership behaviors can drive successful organizational change in government. What you will Learn To perform the role of a SAFe® for Government leader, you should be able to: Transition government programs from traditional software and systems development models to Lean-Agile and DevOps mindsets, principles, and practices using SAFe® Adapt technology strategy, budgeting and forecasting, acquisition, compliance, and governance processes to flow-based practices using emerging government guidelines Organize government programs into one or more Agile Release Trains (ARTs) and execute in Program Increments (PIs) Explore Large Solution coordination in a government and multi-vendor environment Identify and internalize the mindset and leader behaviors essential to successful Lean-Agile transformation Follow success patterns for SAFe® implementations adapted to the government context Build a preliminary outline of next steps to begin and / or accelerate the SAFe® implementation in your program or agency Advancing Lean-Agile in government Embracing a Lean-Agile mindset Understanding SAFe® Principles Creating high-performing Agile teams and programs Planning with cadence and synchronization Delivering value in Program Increments Mapping the path to agency and program agility Leading successful change

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 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.This skills-focused ccombines 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. 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 Applied AI: 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 Applied AI: 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.

Network+ training course description This network+ course covers the TCP/IP side of the exam. For delegates to pass the exam it is important that they meet the prerequisites, self study is also required. An intensive hands on IP foundation. The course focuses on all parts of TCP/IP including layers 4 to 7 on end stations as well as layer 3 on routers. The TCP/IP protocols are also studied to enable delegates to be able to troubleshoot TCP/IP using Wireshark. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer equipment. What will you learn Use ping, traceroute and other tools to diagnose faults on a network. Configure IP on PCs and routers. Plan IP addresses and subnets. Analyse IP and TCP packets using an analyser. Troubleshoot TCP/IP. Network+ training course details Who will benefit: Those wishing to pass the Network+ exam. Prerequisites: Introduction to data communications & networking Duration 5 days Network+ training course contents What is TCP/IP? TCP and IP are protocols, 7 layer model, network layers, hardware/software layers, internetworking, protocols, What is IP? What is TCP? The internet, The IAB, RFCs. Ping and Wireshark Host configuration, IP addresses, subnet masks, default gateways, ping. Hands on Base configuration. Testing with ping. Analysing packets with Wireshark. Switches and Wireshark Switches versus hubs, layer 2 forwarding table, flooding, broadcasts. Hands on Building a switched based network. Configuring network devices Configuration options, console port, putty, telnet. Hands on Configuring switches, telnet. IP IP packet format, protocol field, TTL, DiffServ, fragments, ICMP. Hands on IP packet analysis. IP addressing 32 bits, dotted decimal, rules, networks, role of subnet masks, simple subnetting, prefix notation. Broadcasts, special use addresses. Hands on Planning and implementing addressing. IP and the lower layers ARP, media not supporting ARP. Hands on ARP. Routing What are routers? What routers do, default gateways, routing and addressing, routing tables, ways to update routing tables. Hands on Building a routed network, traceroute. Routing protocols IGPs and EGPs, RIP, RIPv2, Why not to use RIP, OSPF, OSPF metrics, convergence, distance vector protocols, link state protocols. Hands on OSPF, analysing routing tables, loopbacks. Network simulators Network simulators, EVE-NG, GNS3, CML. Hands on Using EVE-NG. Subnetting Subnetting to the bit level, ranges, how prefixes are used. Hands on Subnetting. VLANS and IP addressing What are VLANs, tagging, 802.1Q, Inter VLAN routing. Hands on Inter VLAN routing. TCP and UDP Layer 4, port numbers, client ports, broadcasts multicasts and layer 4, UDP header, TCP header, connections, ACK, sliding windows, options, connection states. Sockets. Hands on Analysing TCP packets. IPv4 address configuration Private addresses, NAT, NAPT, dynamic addressing, DHCP, link local addresses. Hands on DHCP, NAT. IPv6 What is IPv6, 128 bit addresses, address formats, IPv6 address allocation, header format, migration, dual stack, tunnelling, NAT64, DNS64. Hands on IPv6 setup troubleshooting. IPv6 address configuration Static addressing, EUI-64 addresses, IPv6 address order, SLAAC, DHCPv6. Hands on SLAAC. Applications Clients, servers, HTTP, Email, resource sharing, VoIP, video, terminal emulation, remote desktop. Network management and SNMP. Hands on Servers, TFTP, VoIP packet analysis. DNS Names and addresses, hosts file, how DNS works. FQDNs, DNS client configuration. Hands on Troubleshooting DNS. Security Firewalls, firewall architectures, DMZ, how firewalls work, proxy servers, filtering, ACLs, IDS, VPNs, authentication, encryption, tunnels, secure protocols. Hands on Firewalls, SSH Troubleshooting Methods, tools. Using the 7 layer model. Troubleshooting toolkits. Hands on Fixing the network.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. Module 1: Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Module 2: Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Module 3: Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Module 4: Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Module 5: Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Module 6: Architecture and course review Post course knowledge check Architecture review Course review Additional course details: Nexus Humans Building Data Lakes on AWS 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 Data Lakes on AWS 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.

HP ProCurve training course description A hands on course covering the product specifics of HP switches. Installation, configuration, maintenance and troubleshooting are all covered in a practical oriented way. VLANs often take up a large part of the course. The course covers all interfaces but concentrates on using the command line interface. Delegates are, however, free to use the web based interface in all exercises. What will you learn Install HP ProCurve switches. Use the command line interface and the web based interface to manage HP ProCurve switches. Configure and troubleshoot HP ProCurve switches. Perform software upgrades and maintain configurations using TFTP. HP ProCurve training course details Who will benefit: Anyone working with HP switches. Particularly aimed at engineers and technicians supporting HP switches. Prerequisites: None. Duration 2 days HP ProCurve training course content Introduction Traditional Ethernet, Hubs, Frames, MAC addresses. Hands on Building a network with a hub What is a switch? Switches versus hubs, the MAC address table, handling unknown addresses. Hands on Building a network with HP switches. Configuration methods How to configure a HP switch using: Console port access menus, CLI, telnet, web based access. Hands on Console access, show commands, using the menus, IP address configuration, telnet. Command Line Interface Operator mode, Manager mode, configuration mode, passwords, online help, CLI commands, basic troubleshooting. Hands on More show commands, basic troubleshooting, setting a password, displaying status and counters. Web based interface Web access, basic format, Getting started. SSL. Hands on Web based configuration. Port configuration Common port configuration tasks, port security, port aggregation. Hands on Configuring ports. Trunking and failover. STP configuration Broadcast storms. What is STP? RSTP. Configuring STP. Hands on Enabling and disabling STP, investigation failover. VLAN configuration What are VLANS? 802.1Q, tagged/untagged, creating VLANS, applying VLANS. Addressing and VLANs, Layer 3 switches and VLANs. Hands on Setting up VLANS, setting up tagged ports, Inter VLAN traffic. Housekeeping TFTP, software upgrades, downloading configurations. Hands on Software upgrade, downloading a configuration. SNMP SNMP configuration, HP OpenView. Hands on Using SNMP to manage a HP ProCurve switch. Basic troubleshooting Putting it all together. Layer 1 troubleshooting, Layer 2 troubleshooting. Miscellaneous exercises CDP. Logging

HP switches training course description A hands on course covering the product specifics of HP switches. Installation, configuration, maintenance and troubleshooting are all covered in a practical oriented way. VLANs often take up a large part of the course. The course covers all interfaces but concentrates on using the command line interface. Delegates are, however, free to use the web based interface in all exercises. What will you learn Install HP switches. Use the command line interface and the web based interface to manage HP switches. Configure and troubleshoot HP switches. Perform software upgrades and maintain configurations using TFTP. HP switches training course details Who will benefit: Anyone working with HP switches. Particularly aimed at engineers and technicians supporting HP switches. Prerequisites: None. Duration 2 days HP switches training course content Introduction Traditional Ethernet, Hubs, Frames, MAC addresses. Hands on Building a network with a hub. What is a switch? Switches versus hubs, the MAC address table, handling unknown addresses. Hands on Building a network with HP switches. Configuration methods How to configure a HP switch using: Console port access menus, CLI, telnet, web based access. Hands on Console access, show commands, using the menus, IP address configuration, telnet. Command Line Interface Operator mode, Manager mode, configuration mode, passwords, online help, CLI commands, basic troubleshooting. Hands on More show commands, basic troubleshooting, setting a password, displaying status and counters. Web based interface Web access, basic format, Getting started. SSL. Hands on Web based configuration. Port configuration Common port configuration tasks, port security, port aggregation, Hands on Configuring ports. Trunking and failover. STP configuration Broadcast storms. What is STP? RSTP. Configuring STP. Hands on Enabling and disabling STP, investigation failover. VLANs What are VLANS? 802.1Q, tagged/untagged, creating VLANS, applying VLANS. Addressing and VLANs, Layer 3 switches and VLANs. Hands on Setting up VLANS, setting up tagged ports, Inter VLAN traffic. Housekeeping TFTP, software upgrades, downloading configurations. Hands on Software upgrade, downloading a configuration. SNMP SNMP configuration, HP OpenView NNM. Hands on Using SNMP to manage a HP switch. Basic troubleshooting Putting it all together. Layer 1 troubleshooting, Layer 2 troubleshooting. Miscellaneous exercises CDP. Logging