1077 Architect courses in Warlingham delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

Duration 3 Days 18 CPD hours This course is intended for This course is designed for Administrators who need to setup, configure and manage SharePoint Online as part of their Office 365 Administration. Overview After completing this course, students will gain the skills to: - Understand the architecture of SharePoint Online - Have knowledge of all the components in SharePoint Online - Have on hands on experience configuring the components of SharePoint Online - Have hands on experience configuring the options - Work with Site Collections and storage options - Manage user profiles and social profiling - Understand and configure data connectivity in SharePoint Online - Build a taxonomy structure - Understand and configure Search in SharePoint Online - Configure and deploy apps - Understand and define Enterprise content management and data loss prevention. - Configure additional options and features in SharePoint Online such as Information Rights Management This course will introduce the audience to SharePoint Online Administration in Office 365 and explain and demonstrate the configuration options for SharePoint Online. The course is appropriate for existing SharePoint on-premises administrators and new administrators to Office 365 who need to understand how to correctly setup SharePoint Online for their company. The course will also help SharePoint on-premise administrators understand the differences between SharePoint on-premises and SharePoint Online. 1 - INTRODUCTION TO OFFICE 365 AND SHAREPOINT ONLINE Introduction to the Office 365 Administration Center Configure Reporting Accessing SharePoint management tools Accessing security and compliancy Managing Office 365 and SharePoint Online with PowerShell Comparing On Premises SharePoint with SharePoint Online User identity in Office 365 and SharePoint Online Manging user domains Building Hybrid scenarios OneDrive and Sites redirection Yammer redirection Understand hybrid search Hybrid business data connectivity Hybrid taxonomy 2 - WORKING WITH SITE COLLECTIONS Introduction to classic and modern admin centers Creating Site Collections Defining ownership and security for site collections Configuring Storage Configure External Access to site collections Recovering site collections Configure external sharing Managing site collections with PowerShell 3 - MANAGING USER PROFILES Overview of the profile service Defining profile properties Map profile properties to a term store Creating custom profile properties Managing audiences Creating audiences Managing user profile policies Configure trusted my site host locations Configure preferred search center locations Defining read access permission levels Configuring newsfeed options Setup email notifications Configure my site cleanup 4 - WORKING WITH DATA CONNECTIONS Introduction to Data Connections Overview of PowerApps, Flow and PowerBi Overview of the business connectivity service Introduction to BDC definition files Creating BDC definition files Introduction to the secure store service Configuring the secure store service Creating secure store target application settings Configure connections to cloud services Configure connections to on-premises services Tools to build data connections Creating external content types Building external lists using external data 5 - MANAGING THE TERM STORE Overview of the term store Understanding terms and life cycle management Creating term groups Creating the term store Creating Term Sets in the UI Creating Term Sets via importing via a CSV Creating terms in the UI Creating terms via PowerShell and CSOM Manage terms with synonyms and pinning Configure delegated administration 6 - CONFIGURING SEARCH An Introduction to the search service Classic versus Modern search experience Understanding Managed Properties Create Managed Properties Manage Authoritative pages Understand Result sources Create and configure result sources Understand Query rules Promoting results through query rules Remove search results from the index Exporting search configurations Importing search configurations 7 - CONFIGURING APPS An Introduction to Apps Understanding the App Catalog Building the App catalog Adding Apps to the catalog Add Apps to your SharePoint sites Adding Apps via the marketplace store Manage App licensing Configure store access settings Monitoring app usage 8 - ENTERPRISE CONTENT MANAGEMENT IN SHAREPOINT ONLINE An Introduction to ECM in SharePoint Online Components of ECM Office 365 versus classic compliancy Understanding In-Place records management Configure In-Place records management Understanding the records center Build and configure a records center Understanding the compliancy policy center Build a compliancy policy center and configure policies Discover the security and compliancy center Configure an eDiscovery center Build an eDiscovery case Understand data loss prevention Build a data loss prevention policy and query Working with classification and data governance 9 - MANAGE OPTIONS FOR SHAREPOINT ONLINE Configure OneDrive features Configure use of Yammer or Newsfeeds Understand Information Rights Management Configure Information Rights Management Define site classification options Understand early release options for Office 365 Configure Early release options for your Office 365 tenant Manage Access Control Additional course details: Nexus Humans 55238 SharePoint Online for Administrators 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 55238 SharePoint Online for Administrators 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.

Duration 2 Days 12 CPD hours This course is intended for Security administrators who are responsible for using SaltStack SecOps to manage the security operations in their enterprise Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture of SaltStack Config and SaltStack SecOps Integrate SaltStack Config with directory services. Configure roles and permissions for users and groups to manage and use SaltStack SecOps Use targeting to ensure that the jobs run on the correct minion systems Use remote execution modules to install the packages, transfer files, manage services, and manage users on minion systems Manage configuration control on the minion systems with states, pillars, requisites, and declarations Use Jinja and YAML code to manage the minion systems with the state files Enforce the desired state across minion systems automatically Use SaltStack SecOps to update the compliance and vulnerability content libraries Use SaltStack SecOps to enforce compliance and remediation on the infrastructure with industry standards Use SaltStack SecOps to provide automated vulnerability scanning and remediation on your infrastructure This two-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in using VMware vRealize© Automation SaltStack© SecOps. SaltStack SecOps allows you to scan your system for compliance against security benchmarks, detect system vulnerabilities, and remediate your results. This course enables you to create the SaltStack SecOps custom compliance libraries and use SaltStack SecOps. In addition, this course provides you with the fundamentals of how to use VMware vRealize© Automation SaltStack© Config to install software and manage system configurations. Course Introduction Introductions and course logistics Course objectives SaltStack Config Architecture Identify the SaltStack Config deployment types Identify the components of SaltStack Config Describe the role of each SaltStack Config component SaltStack Config Security Describe local user authentication Describe LDAP and Active Directory authentication Describe the roles and permissions in vRealize Automation for SaltStack Config Describe the roles and permissions in SaltStack Config Describe the SecOps permissions in SaltStack Config Describe the advanced permissions available in SaltStack Config Targeting Minions Describe targeting and its importance Target minions by minion ID Target minions by glob Target minions by regular expressions Target minions by lists Target minions by compound matching Target minions by complex logical matching Remote Execution and Job Management Describe remote execution and its importance Describe functions and arguments Create and manage jobs Use the Activities dashboard Configuration Control Through States, Pillars, Requisites, and Declarations Define the SaltStack states Describe file management in SaltStack Config Create the SaltStack state files Identify the components of a SaltStack state Describe pillar data and the uses of pillar data Configure pillar data on the SaltStack Config master server Use pillar data in variables in the state files Describe the difference between IDs and names in the state files Use the correct execution order Use requisites in the state files Using Jinja and YAML Describe the SaltStack Config renderer system Use YAML in the state files Use Jinja in the state files Use Jinja conditionals, lists, and loops Using SaltStack SecOps Comply Describe the SaltStack SecOps Comply architecture Describe CIS and DISA STIG benchmarks Describe the SaltStack SecOps Comply security library Describe the remediation differences between SaltStack SecOps and VMware Carbon Black© Create and manage the policies Create and manage the custom checks Run assessments on the minion systems Use SaltStack SecOps to remediate the noncompliant systems Manage the SaltStack SecOps Comply configuration options Manage the benchmark content ingestion Using SaltStack SecOps Protect Describe Common Vulnerabilities and Exposures (CVEs) Use the Protect dashboard Create and manage the policies Update the vulnerability library Run the vulnerability scans Remediate the vulnerabilities Manage the vulnerability exemptions

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.

Duration 2 Days 12 CPD hours This course is intended for The target audience for the CASM course is Anyone interested in learning about Agile and Scrum from a products and process perspective Process owners and process designers Developers who are interested in helping make processes more agile Managers who are looking to bridge multiple practices into a DevOps environment Employees and managers responsible for designing, re-engineering or improving process Consultants guiding their clients through process improvement and DevOps initiatives Internal and external suppliers Process stakeholders Overview The learning objectives for Certified Agile Service Manager (CASM) include an understanding of: What does it mean to 'be agile?' The Agile Manifesto, its core values, and principles Agile concepts and practices including ITSM, Kanban, Lean and DevOps Learn about SCRUM from a product and process perspective Agile thinking and values into service management Scrum roles, artifacts, and events as it applies to both products and processes The two aspects of Agile Service Management: Agile Process Improvement-ensuring processes are lean and deliver 'just enough' control Agile Process Design-applying Agile practices to process design projects This course provides an introduction to Agile Service Management, the application, and integration of agile thinking into service management processes and process design projects. Agile thinking improves IT?s effectiveness and efficiency and enables IT to continue to deliver value in the face of changing requirements. This course prepares you for the Certified Agile Service Manager (CASM) certification. Why Agile Service Management? Challenges Today What is IT Service Management? What is Agile? Agile Manifesto and Principles What Does It Take To Be Agile? Agile Service Management What is Agile Service Management? Agile Service Management Goals, Objectives and Benefits Two Aspects: Agile Process Engineering & Agile Process Improvement Leveraging Related Guidance DevOps ITIL Site Reliability Engineering Lean Scrum Agile Service Management Roles Relationship to Scrum roles Agile Practice Owner Agile Service Management Team Agile Service Manager Agile Process Engineering Agile Processes How Processes Deliver Value Waterfall vs Agile Process Engineering Relationship to Scrum Events & Artifacts Minimum Viable Process Microprocess Architectures Service Management Architecture Agile Service Management Artifacts Practice Backlog Spring Backlog Increment Agile Service Management Events Planning The Sprint Sprint Planning Process Standups Sprint Review Sprint Retrospective Agile Process Improvement Why Process Improvement is Important Process Improvement Goals Process Improvement Reviews Sustaining Improvements Automation

Total NetFlow training course description A comprehensive hands on course covering NetFlow. The course starts with the basics of flows moving swiftly onto configuring NetFlow and studying the information it provides. What will you learn Describe NetFlow. Configure generators and collectors. Recognise how NetFlow can be used. Describe the issues in using NetFlow. Compare NetFlow with SNMP, RMON and sflow. Total NetFlow training course details Who will benefit: Technical staff working with NetFlow. Prerequisites: TCP/IP Foundation Duration 2 days Total NetFlow for engineers What is NetFlow? Flows. Where to monitor traffic. Hands on Wireshark flow analysis. Getting started with NetFlow NetFlow configuration. Hands on Accessing NetFlow data using the CLI. NetFlow architecture Generators and collectors. When flows are exported. NetFlow reporting products. SolarWinds. Hands on Collector software. NetFlow features and benefits Real time segment statistics, real time top talkers, traffic matrices. Hands on Traffic analysis with NetFlow. NetFlow issues NetFlow impact, agent resources, server resources, comparing NetFlow with SNMP, RMON and sflow. Hands on Advanced NetFlow configuration. Export formats Flow aging timers, NetFlow versions, export formats, templates, IPFIX. Hands on NetFlow packet analysis. NetFlow MIBs The NetFlow MIB, configuration, retrieving NetFlow statistics. Hands on Integrating NetFlow with SNMP.

WiMax training course description Broadband wireless access is an emerging technology area. This course looks at WiMAX, where it can be used, how it works and the alternative technologies. What will you learn Describe WiMAX. Explain how WiMAX works. Compare and contrast WiMAX with alternative broadband wireless access technologies. WiMax training course details Who will benefit: Anyone wishing to know more about WiMAX. Prerequisites: None. Duration 2 days WiMax training course contents Introduction What is WiMAX? WiMAX applications, The Internet, Internet access choices, wireless broadband access, WiMAX benefits. WiMAX overview Spectrums, LOS vs. non-LOS, bit rates, modulation, mobility, channel bandwidth, cell radius. WiMAX standards The WiMAX forum, IEEE, ETSI, HIPERACCESS, HIPERMAN, 802.16, 802.16-2004, 802.16a, 802.16e, 802.16f. WiMAX architecture Subscriber Stations (SS), Indoors, outdoors, antennas, Radio Base Stations (BS), LOS, Non LOS BackHaul, Point to multipoint, mesh support. Physical layer 10 - 66GHz, TDMA, TDD, FDD, 2 -11 GHz, SC2, OFDM, OFDMA, QPSK, QAM, Radio Link Control (RLC), uplink, downlink. MAC layer Traffic types (continuous, bursty), QoS, service types. MAC operations, connection oriented, frame structure, addressing. Convergence sublayers, service specific, common part, profiles (IP, ATM). Bandwidth request-grant, ARQ, Management messages. Security MAC privacy sublayer, network access authentication, AAA, 802.1x, key exchange and privacy. WiMAX alternatives WiMAX vs. 3G, WiMAX vs. 802.20.

Server Load Balancing course description This two-day Server Load Balancing course introduces the concepts of SLB from the reasons to implement, through the basics and then onto details studies of load distribution, health checks, layer 7 switching and Global SLB. What will you learn Explain packet paths when implementing SLB. Recognise the impact of different topologies. Evaluate SLB load distribution methods. Describe how load balancers can improve security. Explain how GSLB works. Server Load Balancing course details Who will benefit: Anyone working with SLB. Prerequisites: None. Duration 2 days Server Load Balancing course contents Introduction Concept, reasons, benefits, alternatives. Other features: Security, Caching. SLB concepts Architectures, Virtual servers, real servers, Virtual IP address, health checks. DNS load balancing. Packet walk using SLB. Load balancing 6 modes of bonding and load balancing without SLB. ISP load balancing. Health. Distribution policies: Round Robin, least connections, weighted distributions, response time, other variations. Persistent versus concurrent. Layer 4 switching L2 SLB, L3 SLB, single arm SLB, DSR, more packet walking, TCP versus UDP, Port numbers. Layer 7 switching Persistence. Cookie switching, Cookie hashing, Cookie insertion, URL switching, URL Hashing, SSL. Health checks Layer 3: ARP, ping. Layer 4: SYN, UDP. Layer 7: HTTP GET, Status codes, HTTP keepalives, content verification, SSL. Other application keepalives. What to do after failure and recovery. Security DOS attack protection, SYN attack protection, Rate limiting: connections, transactions. SSL offload. Redundancy Hot standby, Active standby, Active active. Stateful, stateless. VRRP, STP. GSLB Anycasting. DNS, TTL, DNS load balancing, problems with DNS load balancing,. HTTP redirect, health, thresholds, round trip times, location.

IP addressing and subnetting course description A course focusing purely on IP addressing and subnetting. The course assumes that delegates already have some knowledge of IP addressing. In particular delegates will be able to calculate subnet numbers in seconds without using binary. What will you learn Download and install Wireshark. Calculate subnet numbers in seconds Design IP addressing schemes. Troubleshoot IP address problems. Calculate CIDR prefixes in seconds IP addressing and subnetting course details Who will benefit: Anyone working with TCP/IP. Prerequisites: TCP/IP Foundation for engineers Duration 2 days IP addressing and subnetting course contents IP addressing review What is an IP address? What is a subnet? Classless IP addressing. The rules of IP addressing. Ways IP addresses are used: On hosts, in packets, in routing tables. Hands on Byte boundary subnetting. Configuring IP addresses Interfaces, Static vs. dynamic configuration. DHCP: Scopes, leases, relays, using multiple DHCP servers. Multihoming. Subnetting Default subnet masks, subnet notations. How to subnet without binary. VLSMs. Hands on Bit boundary subnetting. Address ranges and routing Routing tables, IP address spoofing, host specific routing, subnets in routing tables, supernets in routing tables. CIDR. Impact of choice of routing protocol. Hands on IP addressing plans. Allocations and assignments IAB, IANA, RIRs, RIPE, LIRs and ISPs. PI vs. PA addressing. Hands on Querying the RIPE database. Private addressing and NAT NAT, NAPT, NAT terms, private addresses, NAT operation, NAT architecture, NAT and security, why use NAT? NAT-ALG, Types of NAT, RSIP. Special use addresses Unicasts, broadcasts, multicasts, anycasts. Directed broadcasts. Allowing broadcasts through routers.

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.