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Duration 3 Days 18 CPD hours This course is intended for System administrators and operators who are operating in the AWS Cloud Informational technology workers who want to increase the system operations knowledge. Overview Identify the AWS services that support the different phases of Operational Excellence, an AWS Well-Architected Framework pillar Manage access to AWS resources using AWS accounts and organizations and AWS Identity and Access Management (IAM) Maintain an inventory of in-use AWS resources by using AWS services, such as AWS Systems Manager, AWS CloudTrail, and AWS Config Develop a resource deployment strategy using metadata tags, Amazon Machine Images (AMIs), and AWS Control Tower to deploy and maintain an AWS cloud environment Automate resource deployment by using AWS services, such as AWS CloudFormation and AWS Service Catalog Use AWS services to manage AWS resources through CloudOps lifecycle processes, such as deployments and patches Configure a highly available cloud environment that uses AWS services, such as Amazon Route 53 and Elastic Load Balancing, to route traffic for optimal latency and performance Configure AWS Auto Scaling and Amazon EC2 Auto Scaling to scale out your cloud environment based on demand Use Amazon CloudWatch and associated features, such as alarms, dashboards, and widgets, to monitor your cloud environment Manage permissions and track activity in your cloud environment by using AWS services, such as AWS CloudTrail and AWS Config Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service State the purpose, benefits, and appropriate use cases for mountable storage in your AWS Cloud environment Explain the operational characteristics of object storage in the AWS Cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier Build a comprehensive cost model to help gather, optimize, and predict your cloud costs by using services such as AWS Cost Explorer and the AWS Cost & Usage Report This course teaches systems operators and anyone performing cloud operations functions how to manage and operate automatable and repeatable deployments of networks and systems on AWS. You will learn about cloud operations functions, such as installing, configuring, automating, monitoring, securing, maintaining, and troubleshooting these services, networks, and systems. The course also covers specific AWS features, tools, and best practices related to these functions. Prerequisites Successfully completed the AWS Technical Essentials course Background in either software development or systems administration Proficiency in maintaining operating systems at the command line, such as shell scripting in Linux environments or cmd/PowerShell in Windows Basic knowledge of networking protocols (TCP/IP, HTTP) 1 - Introduction to Cloud Operations on AWS What is Cloud Operations AWS Well-Architected Framework AWS Well-Architected Tool 2 - Access Management AWS Identity and Access Management (IAM) Resources, accounts, and AWS Organizations 3 - System Discovery Methods to interact with AWS services Tools for automating resource discovery Inventory with AWS Systems Manager and AWS Config Hands-On Lab: Auditing AWS Resources with AWS Systems Manager and AWS Config 4 - Deploy and Update Resources Cloud Operations in deployments Tagging strategies Deployment using Amazon Machine Images (AMIs) Deployment using AWS Control Tower 5 - Automate Resource Deployment Deployment using AWS CloudFormation Deployment using AWS Service Catalog Hands-On Lab: Infrastructure as Code 6 - Manage Resources AWS Systems Manager Hands-On Lab: Operations as Code 7 - Configure Highly Available Systems Distributing traffic with Elastic Load Balancing Amazon Route 53 8 - Automate Scaling Scaling with AWS Auto Scaling Scaling with Spot Instances Managing licenses with AWS License Manager 9 - Monitor and Maintain System Health Monitoring and maintaining healthy workloads Monitoring AWS infrastructure Monitoring applications Hands-On Lab: Monitor Applications and Infrastructure 10 - Data Security and System Auditing Maintaining a strong identity and access foundation Implementing detection mechanisms Automating incident remediation 11 - Operate Secure and Resilient Networks Building a secure Amazon Virtual Private Cloud (Amazon VPC) Networking beyond the VPC 12 - Mountable Storage Configuring Amazon Elastic Block Store (Amazon EBS) Sizing Amazon EBS volumes for performance Using Amazon EBS snapshots Using Amazon Data Lifecycle Manager to manage your AWS resources Creating backup and data recovery plans Configuring shared file system storage Hands-On Lab: Automating with AWS Backup for Archiving and Recovery 13 - Object Storage Deploying Amazon Simple Storage Service (Amazon S3) Managing storage lifecycles on Amazon S3 14 - Cost Reporting, Alerts, and Optimization Gaining AWS cost awareness Using control mechanisms for cost management Optimizing your AWS spend and usage Hands-On Lab: Capstone lab for CloudOps Additional course details: Nexus Humans Cloud Operations 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 Cloud Operations 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.

About this Training Course The Oil & Gas E&P industry is evolving from deep sea exploration to renewable sources of energy through windfarms and solar fields offshore. In tandem, OSBs will need to evolve for sustainability and revival from stagnant traditional Supply Base Models. The changing role of OSBs is toward support services for decommissioning projects and LNG Floating Terminals. In addition, the new geographical regions of East and South Africa are coming up at a faster pace. All such operations are dependent upon a complex network of transport and supply in order to deliver the staff, materials, machinery, and crew provisions where and when needed. This 3 full-day course is curated to enhance the skills and competencies of passionate professionals to plan and organise resources, minimise turnaround time for the vessels engaged in support of Offshore E & P operations. Various hands-on exercises can equip the participants to implement viable and feasible approaches for safe and efficient management of OSBs in compliance with continuously evolving international best practices and Oil & Gas standards. This course is specially developed for investors, business owners, senior executives and professionals from the offshore & marine logistics industry, with the following objectives: To provide a firm understanding about the role of an Offshore & Marine Supply Base in support of Oil & Gas E & P fleet operations, in contrast with traditional merchant shipping logistics. To provide an in-depth knowledge about the range and diversity of services being offered by Offshore & Marine Supply Bases ('OSB') in the target regions. To equip with the knowledge and information required for taking investment decisions when venturing in Offshore E & P Sector. To introduce contemporary techniques and tools required to identify target customer segments while developing a new OSB or expanding operations of an existing OSB. To elaborate comparative management methodologies for OSB facilities and services management, based on deployment of ICT solutions so as to deliver value added services to the customers. To learn to identify methodologies for sales and distribution of services to the customers and non-paying users of the OSB. To identify relevant state legislation for licensing & governing an OSB, and enforce through contractual obligations, rights and responsibilities of the parties as clients of an OSB. To develop and implement Business Processes with built-in Performance Evaluation Metrics for achieving competitive advantage over the peers in the OSB segment. To develop and implement integrated OSB's Risk Management framework. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives Upon completion of this course, the participants will be able to: Implement and comply with the QHSSSE regulations and national or Port Controls regime for safe handling of import & export cargo and movements of the vessels. Establish role and responsibilities of the Offshore Supply Base management team. Plan and organise resources so as to minimise turnaround time for the vessels engaged in support of Offshore E & P and Windfarms operations. Plan and organise OSB cranes, vehicles, MHE, spaces and relevant facilities for storage, movement, and custody transfer of various types of solid and liquid cargo, tools, shackles, bulk materials in open yards and ships' gears. Be aware of potential emergency situations and how to respond and coordinate with relevant internal and external agencies. Manage safety of personnel of sub-contractors, stevedores', tenants, and ship crew, when engaged in OSB operations. Differentiate between various ships, technical and functional characteristics, safety requirements and potential hazards of each operation. Build competency in developing and maintaining documentary evidence for traceability for all works executed during the specific period or operation. Develop techniques for performance monitoring and continuous improvements based on lessons learned from each operation at the Base as well as from reports about peers in the similar business. Target Audience This course is intended for: Operations Management personnel from existing OSBs, Ports, Logistics & Warehouses, Offshore Fields, E & P Infrastructure Support services providers. Professionals who are interested in OSB segment of the Offshore & Marine Oil & Gas Industry. Participants who have no prior knowledge about OSB Operations and are new to the Offshore Logistics And highly recommended for: Managers, Engineers, and Professionals assigned to lead new initiatives in Logistics Management of Offshore & Marine Segments of Oil & Gas Industry. Course Level Intermediate Trainer Principal Management Consultant Chartered Valuer and Appraiser (CVA) FACICA | FAMTAC | FAIADR | M.S.I.D | Member, AIEN LL.M. (IP Law), M. Sc. (Maritime Studies), M. Tech (Knowledge Engineering), MBA, First Class CoC (MCA, UK), B. E. (Elect) Your expert course leader during the last 47 year period, has worked and consulted in the industry verticals encompassing: Technology, Oil & Gas Exploration & Production, Petrochemical Process Plants and Power Plant Construction Projects, Logistics & Warehousing, Marine, Offshore, Oil & Gas Pipelines, Infrastructure Development Projects (Ports, Offshore Supply Bases, Oil & Gas Terminals and Airports etc), EPCIC Contracts, and Shipyards, in South East Asia, Africa, Middle East, Americas and Europe. He serves as the Principal Management Consultant with a management consultancy in Hong Kong and Singapore, specialising in the fields of corporate management consultancy, international contracts reviews and alternative dispute resolutions services. He undertakes special assignments for conducting audits and valuation of intangible properties involving proprietary processes for licensed production, and licensing of intellectual property rights (IP Rights) in patents, trademarks, and industrial designs. He is frequently engaged for assignments like due diligence, acquisitions, mergers, resolving various operational issues, technology transfer and agency services contracts reviews, cost controls, and enhancement of Supply Chain Management. He has been conferred the credentials of Chartered Valuer & Appraiser (CVA) by SAC and IVAS, in accordance with the international valuation standards setting body IVSC. His consulting experience includes Charterparty Management, Business Process Re-engineering, Diversifications, Corporate Development, Marketing, Complex Project Management, Feasibility Studies, Dispute Resolutions and Market Research. He has successfully assisted Marine and offshore E & P clients in managing contractual disputes arising from various international contracts for upgrading & conversion projects. He continues to be actively engaged in claims reviews, mediation, arbitration, litigation, and expert witness related assignments, arising from international contracts and Charterparty Agreements. He graduated with a Bachelor's degree in Electrical Engineering, MBA in General Management, Master of Technology in Knowledge Engineering, Master of Science in Maritime Studies, and LL.M. (IP Law). He also holds professional qualifications in Business Valuations and Appraisers for CVA, arbitration, law, and marine engineering, including the Chief Engineer's First-Class Certificate of Competency (MCA, UK). He is further qualified and accredited as Certified International Arbitrator, Chartered Arbitrator, Sports arbitrator under CAS Rules, WIPO Neutral, Australian Communications and Media Authority (ACMA) Bargaining Code Arbitrator, Accredited Adjudicator and Accredited Mediator (Malaysia). He is admitted to the international panels of arbitrators and neutrals with WIPO, Geneva; ACICA, AMTAC and ACMA, Australia; BVIAC (British Virgin Islands); JIAC (Jamaica); HKIAC Hong Kong; AIAC, Malaysia; AIADR, Malaysia; KCAB, Seoul, South Korea; ICA, Delhi, India; ICC (Singapore); SISV, Singapore; SCMA, Singapore; SCCA, Saudi Arabia; VIAC Vienna, Austria; Thailand Arbitration Centre (THAC), and Mediator with AIAC Malaysia, CMC, and SIMI Singapore. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Duration 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

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

Duration 5 Days 30 CPD hours This course is intended for Ideal candidates are IT Professionals who deploy small-to-medium scale enterprise network solutions based on Aruba products and technologies. Overview Network Fundamentals Review Aruba Switching portfolio ArubaOS-CX Network Operating System VLANs Spanning Tree Protocol VRRP Link Aggregation IP Routing Subnetting OSPFv2 - Single Area Stacking using VSF Secure Management and Maintenance Aruba NetEdit Teaches you the fundamental skills necessary to configure and manage modern, open standards-based networking solutions using Aruba's OS-CX routing & switching technologies. This course consists of approximately 60% lecture and 40% hands-on lab exercises Network Fundamentals What is a network? What is a Protocol? OSI Reference Model Encapsulation, frames, packets, segments Layer 2 to Layer 7 headers Media, cabling, Ethernet/wifi headers Binary/Hex/Decimal theory and conversion TCP/IP Stack (IP addressing & Transport Protocols TCP/UDP) Types of traffic: Unicast, Broadcast, Multicast TCP/IP Stack Overview Ethernet frames IPv4 Header TCP Header ? Three-way Handshake TCP Header ? Sequence Numbers TCP Header ? Port Numbers TCP Header UPD Header Basic Networking with Aruba Solutions Networking devices: Switches, Routers, Multilayer Switches, APs, Mobility Controllers, Firewalls, Servers (HTTP, DHCP, DNS, Telnet, FTP) 2-Tier vs 3-Tier hierarchy Switching Portfolio (AOS switches & AOS-CX switches) is this introducing both portfolio on a couple of slide and few slides on AOS-CX hardware architecture, software architecture and intro to NAE high level. Introduction to AOS-CX and feature set Port numbering Accessing Aruba OS-CX CLI Prompt modes/levels and navigation Context sensitive help Show logs, configuration, interfaces, transceivers, flash, version Hostname/interface name, enabling interfaces Link Layer Discovery Protocol ICMP and reachability testing tools: Ping and Traceroute PoE (standards one slide and what we support and one or two slide on configuration VLANs Broadcast/collision domains VLAN benefits VLAN creation DHCP server configuration in switches (optional) 802.1Q tagging Switchports vs. Routed ports MAC address table ARP table Packet Delivery part 1 Spanning Tree Protocol Redundant network L2 loops 802.1D Common Spanning Tree 802.1s 802.1w overview 802.1w load balancing 802.1w region configuration Link Aggregation Static Aggregation LACP Load Balancing IP Routing - Part 1 Default Gateway DHCP IP Helper Address IP Routing Service Inter-VLAN routing Packet Delivery Part 2 Need for layer 3 redundancy Introduction to VRF VRRP VRRP overview VRRP basic operation VRRP failover and preempt VRRP and MSTP coordination IP Routing - Part 2 Subnetting CIDR Static routes Administrative Distance Floating routes Scalability issues IP Routing - Part 3 IGP vs EGP Distance Vector vs Link State OSPF Router-ID and Hello Messages Passive interfaces States DR and BDR LSDB: LSA 1 and 2 Path selection and convergence Using cost to manipulate routes Stacking Control Plane, Management Plane, and Data Plane Introduction to Stacking technologies Stacking Benefits Centralized control and management plane Distributed Data Plane and Distributed Link Aggregation VSF VSF requirements VSF Link and member roles VSF member IDs and port numbers VSF Configuration VSF Provisioning use cases Tracing Layer 2 traffic: Unicast Tracing Layer 2 traffic: Broadcast, Multicast, and Unknown Unicast VSF Failover and OSFP Graceful-Restart VSF Link failure without MAD MAD VSX Introduction Secure Management and Maintenance OOBM port Management VRF Secure Management Protocols: AAA, SSH, HTTPS, RBAC Radius-based management auth (VSA) SNMP Web interface Configuration file management (Backup, restore, checkpoint and roll back) Operating System image management (backup and restore) Factory default/password recovery AOS-CX Management tools Intro to NetEdit NetEdit installation Basic monitoring with NetEdit AOS-CX Mobile App

Online Course now available via Teachable Platform – How do People Learn? Learn at your own pace… with text and videos to support your learning experience. Inclusive Education: Neurodiversity Course Presented by Inclusive Solutions  About This Course: Designed for educators, psychologists, and teachers, this course offers an immersive experience in inclusive education strategies specifically for neurodivergent children. Two leading experts—Dennis Rollins MBE, celebrated trombonist and teacher, and Colin Newton, an experienced inclusive educational psychologist—will guide you through practical approaches and proven techniques to improve inclusive education.  Key Benefits of the Course:  Understand learning processes tailored to neurodivergent students with learning differences. Explore dominant psychological models of learning and their practical, real-world applications. Participate in engaging, hands-on activities to reinforce inclusive teaching strategies. Gain strategies to foster motivation, confidence, and a sense of autonomy in learners Meet the Instructors: Dennis Rollins MBE Dennis Rollins MBE is a renowned trombone player and award-winning educator with over three decades of experience. Known for his unique approach, Dennis has collaborated with top artists worldwide and has received prestigious awards for both performance and jazz education.   Some of Dennis’ recognised lifetime achievements are as follows:  Worked with artists such as Jamiroquai, Courtney Pine, Maceo Parker, The Brand New Heavies, Blur, US3 and Monty Alexander. Won BBC Best Band with Badbone & Co, 2006. Trombonist of the Year, British Jazz Awards and Ronnie Scott’s Jazz Awards, 2007. X2 nominated in the 2008 Parliamentary Jazz Awards: Musician of the Year and Jazz Education, winning the latter category. JazzYorkshire Award Best Band for his band Velocity Trio, 2012. British Trombone Society (BTS) Player of the year Award, 2013. Honorary Fellowship from the Royal Welsh College of Music and Drama, 2022. Recently honoured with an MBE, Dennis brings a creative, real-world perspective to teaching music, particularly for learners with complex needs.  Learn more about Dennis Rollins: Dennis Rollins Website   Colin Newton Colin Newton is a seasoned educational psychologist and passionate advocate for inclusive education. With over 40 years in the field, working across the UK and internationally. Colin is known for his passion for promoting the inclusion of all children in mainstream schools, and for his practical applied work around person-centred planning, restorative justice and in-depth problem-solving. His work has inspired a shift toward inclusive practices across the UK, as he brings both experience and innovative thinking to the world of education.  Colin says: ‘Instinctively from an early age I was against children being sent away to boarding schools and later to special schools and settings. Later I was inspired by disabled activists and Canadian and North American inclusionists who were working to change the world of education with radical innovative thinking and approaches - the work was political, social and spiritual - I was in and never looked back!’  Colin’s career has been values-driven, but also practical using applied psychology in training and real-life problem-solving with schools, families and individual children and young people.     Learning Objectives: By participating in this course, you’ll be able to:  Gain a deeper understanding of inclusive learning processes for all children and adults Differentiate approaches to address the emotional complexities of teaching and learning Master techniques to support effective teaching and meaningful learning Explore the role of relationships and engagement in successful learning Analyse psychological models and identify their real-world applications in education Reflect on the practices of outstanding teachers to inspire deeper learning   Course Topics: Learning Through Imitation Learn how social learning theory (Bandura) highlights the power of imitation. Discover how learners naturally gravitate toward peers and key adults as role models, absorbing skills and behaviours. Contextual Learning Explore Jerome Bruner’s view on context in learning. Understand how learning is always connected to a broader context, which makes it meaningful and applicable. Motivation and Structured Steps Discover techniques to ignite motivation in learners. We’ll discuss how structured, step-by-step support and person-centred encouragement can make a profound difference, particularly for those with learning barriers. Building Self-Efficacy in Learners Understand how educators can nurture self-efficacy, encouraging learners to set their own goals and take charge of their learning journey. Who Should Attend? This course is ideal for:  Educators and psychologists aiming to enhance their understanding of learning processes Teachers who want to develop inclusive teaching strategies for neurodivergent and learning-different students Format A dynamic, hands-on workshop blending lectures, real-world insights, and practical exercises. 

Course Objectives At the end of this course you will be able to: Record and edit a Macro Assign macros to keyboard shortcuts, Quick Access Toolbar, Buttons and Shape objects. Use the Visual Basic Editor; change the properties of an object; add a module to a project; write the code for a procedure and then run it; and use the Object Browser to search procedures Manipulate data by declaring variables of different data types; combine data by using expressions; use functions to accept input and display output; and declare variables and procedures with the appropriate scope Use decision structures to create procedures that make decisions; and use loop structures to perform repetitive tasks Create an error handling routine in case things go wrong with VBA code ' 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk Customer Feedback Best Training Ever! Just finished a bespoke 1-1 training course in Excel Advanced, Macros & VBA. Pedro is an excellent trainer, imparting his skills and knowledge in the best way - appropriately to audience skills, knowledge and ability. Pedro is always approachable, encouraging and supportive, giving delegates the optimum learning environment. I would not hesitate to recommend Pedro as a trainer, whatever your level of ability. Amanda Morris - Treasury & Systems Accountant at Reall - Real Equity for All The trainer was very knowledgeable, kept everyone involved and was enthusiastic. A great experience.. Simon Harper - Lloyd's of London My learning experience was awesome. Perdinand Reagan - Subsea7 Very nice and relaxed approach to teaching. Was definitely a good learning experience. Jerome Pupe - S5 Agency World The Trainer – Very positive + patient + helpful + thorough Agnes Souza - Direct Wines ' With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Our competitive rates start from £550.00 per day of training Tailored training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Introduction to Macros and VBA Introducing Visual Basic for Applications Recording a Macro Naming conventions for Macro Procedures Running a Macro Absolute or Relative Cell Referencing Saving and Opening Files with Macros Making macros always available Adding Macros to Keyboard Shortcuts, Quick Access Toolbar, Buttons and Shapes Editing a Macro in the Visual Basic Editor Understanding the Development Environment Customising the Editor Tips for General Typing in VBA Using Visual Basic Help Working with Procedures Program Design Understanding Modules Naming Rules Creating a Module Understanding Procedures Programming Macro Concepts Creating a Subroutine Creating a Function Understanding Arguments Exiting Procedures Calling Procedures Objects, Properties, Methods and Events Understanding Objects Properties, Methods, and Events Navigating the Object Hierarchy Understanding Collections Accessing a Member of a Collection Understanding Hierarchy Using the Object Browser Using the With Statement Working with Properties Working with Methods Creating an Event Procedure Reserved Macro Names Using Expressions, Variables and Intrinsic Functions Understanding Expressions and Statements Declaring Variables Understanding Data Types Determining the Value of Variables Working with Variable Scope Using Built-in VBA Functions Understanding Constants Using Message Boxes Controlling the Answer to a Message Box Using Input Boxes Declaring and Using Object Variables Controlling Program Execution Understanding Control-of-Flow Structures Using the If...End If Decision Structures Nested If Statements Using the Select Case ... End Select Structure Using the Do ... Loop Structure Using the For ... Next Structure Using the For Each ... Next Structure Guidelines for Use of Control-of-Flow Structures Debugging and Handling Errors Understanding Errors Using Debugging Tools Setting Breakpoints and Using Break Mode Stepping Through Code Trapping Errors with the On Error Statement Understanding the Err Object Working with Inline Error Handling Writing an Error-Handling Routine Working with Forms and Controls Understanding UserForms Creating a Form Displaying and Removing a Form Aligning and Sizing Controls Using the Toolbox Working with a Form's Properties, Methods, and Events Working with Form and Control Properties, Methods and Event Setting the Tab Order Populating a Control Who is this course for? Who is this course for? This course is designed to give proficiency in the Visual Basic Editor (VBE), predominantly making use of Excel objects, understanding Object's Properties, Events and Methods, basic VBA Object oriented programming, event handling, control structures, and debugging tools. Requirements Requirements Preferably, delegates should have attended the Excel Advanced course. Certificates Certificates Certificate of completion Digital certificate - Included

The Jamf 200 course offers a core understanding of Jamf Pro. It also provides enterprise-level knowledge of macOS and iOS platforms. Rely on our expert trainers to help you pass the Jamf 200 certification first time. Topics: Introduction to the Jamf Pro server. Building and managing content (.pkg, .mpkg, and .dmg packages) for deployment to macOS devices. Enrolling macOS and iOS devices using automated MDM enrollment. Setup and configuration of macOS and iOS devices. Configuring the user environment (Configuration Profiles, .plist). Security for macOS and iOS devices. Purchasing and distributing App Store apps using Apple Business Manager or Apple School Manager. Scripting overview (Bash). Initial setup and refreshing/reimaging macOS and iOS devices. Ownership and permissions (POSIX, ACE/ACL) on macOS devices. Prerequisites: Abundant hands-on experience with macOS and iOS. What’s Included: Four days (9am-5pm each day) of lab-style interaction. Proctored certification exam during the afternoon of the fourth day. All hardware and software required for the course. Printed course materials. Jamf Certified Tech badge on your Jamf Nation profile (upon successfully completing the exam with a passing score). Free £100 Apple technical training credit

Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.