1155 Model courses in Birmingham delivered Live Online

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 Within the energy industry, it is a requirement, both contractual and in some areas legislative, to ensure effective internal systems are in place which support employee development and provide evidence of their competence. A Competence Management and Assurance process - if correctly developed and applied - provides employees and organisations with the tools to demonstrate competence and contributes to career development of the individual. The 3 full-day course focuses on Competence Management Systems (CMS) which are typically in use within the Energy Industry, their structure and process development requirements. In addition, the course details the assessment process, the role of the competency assessors within the organisation and the relationship between competence management and training provision. For impactful learning, the course instructor uses a variety of instructional methodologies such as lectures, discussions, individual reflection, games, mystery puzzles, video, case studies, team syndication, group presentations, sharing and feedback. Training Objectives This course will provide attendees with an understanding of: The role of competencies in the Energy industry The benefits of Competency Management System to the organisation The components of a Competency of Competency Management System The know how to implement the Competency Management System The roles and responsibilities within a Competency Management System The know how to develop Competency Models The relationship between Competency Management and Capability Development The know how to conduct Organisational Analysis The know how to conduct Job Analysis and Task Analysis The know how to develop Competency Standards and Development Guides using the 70:20:10 principle The competency assessment process, tools and methodologies The know how to package and communicate the Competency Assessment Reports to Management Competency Management Case Studies in the Energy Industry Target Audience This course will benefit professionals from Human Resource and Capability Development as well as Line Managers. Course Level Basic or Foundation Trainer Your expert course leader is an independent consultant trainer with more than 30 years of experience in People & Organizational Development. She has retired from her full-time job and is currently serving as an Associate Consultant / Trainer with several Learning & Development organizations operating in Malaysia and Singapore. A chemist by training, her interest in People & Organizational Development was so intense that she decided to switch profession during her earlier years of employment, and she has never looked back since. She has gathered extensive hands-on experience, leading key projects and delivering learning programs in her field of expertise with numerous leading organizations in South East Asia, the Middle East and Europe. A project that she is particularly proud in completing was the transformation of PETRONAS Management Training Institute into a regional Leadership Centre. While leading this project, she was given the opportunity to be seconded to General Electric (GE), a Fortune 500 multinational known for its cutting-edge leadership development innovation. She was instrumental in the development of the existing leadership model for PETRONAS. In addition, she was also extensively involved in the development and implementation of Technical Competency Development process that is currently being used by more than 20 disciplines in the organization. Another massive project that she was heavily involved in was the creation of the quality culture for PETRONAS. The project saw the establishment of PETRONAS' own quality principles where she played a key role in propagating the desired mindset towards the creation of a high performing culture. Her involvement in this project took her to many PETRONAS Operating Companies which spanned into several countries across the globe including Malaysia, Indonesia, Vietnam, Sudan, South Africa and Switzerland, creating awareness through learning programs and consultancy services. The PETRONAS Quality Principles have since evolved into shared values that are now known as the PETRONAS Culture Beliefs. In keeping her expertise current after retiring from full-time employment since 2017, she has continued to deliver learning programs, providing coaching and consultancy services to selected Oil & Gas companies in Malaysia, Indonesia, Singapore, India, Oman and Thailand. Among her most recent work are virtual learning deliveries and consultancies during the COVID-19 pandemic to some government linked companies / agencies in Malaysia and PTT Exploration & Production Company of Thailand. Outside her professional circle, she is an avid cyclist, a jungle tracker and a mount climber. She is also an accredited trainer from the Human Resource Development Corporation (HRD CORP). 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

Inclusion Facilitation (IF) is an approach to enhancing the inclusion, in a mainstream community of any child or young person who is experiencing difficulties in the world because of disability, personal crisis or because of their challenging behaviour towards others. The IF approach works by mobilising the young person’s natural supports to provide support and engage with the person in difficulty. Inclusion Facilitation is designed to create a better life for an individual by the provision of an intense input designed to being about social change. This usually entails a series of visits focused on getting the person out and about to increase confidence, social skills and presence in their local community and to pursue goals and dreams. Uniquely, the work is carried out under the close clinical supervision of a practicing psychologist. What is Inclusion Facilitation Work? ‘We do whatever it takes!’ Usually a Person Centred Planning event would be carried out using the PATHor MAP process – majoring on dreams and goal setting leading to precise action planning.  An experienced psychologist alongside the inclusion facilitator would carry out a PATH. A large graphic will be one of the outcomes of the meetings this is a great visual record and a shared memory of the event. This will also inform the priorities for the inclusion facilitation work Optionally following the PATH event a ‘scoping report’ is created outlining what Inclusion Facilitation could offer and highlighting what dreams and goals the individual has. The PATH is also provides a good opportunity for the Facilitator to meet the focus person in a comfortable positive environment. 12 weekly visits from the Inclusion Facilitator followed by 5 monthly visits is our preferred model but we can be flexible with the delivery of this input. This is just a guideline, however we have received good results using this time frame. After this intensive input the Inclusion Facilitator will hand over to the existing family, carers and PA team to carry on where he or she has left off. This transition time is planned from the outset. An experienced psychologist is there to support the facilitator at all times and will guide all work done by the inclusion facilitator.  Is this just Support work? No! This is proactive engagement – doing whatever is required. We are not just passively or reactively providing what is asked for – we are actively pursuing a good life for the individual. Our work is built on careful research around a person’s interests and what opportunities exist locally. We carry out community mapping.  We actively work to tackle an individual’s own resistance and reluctance to engage more socially. We actively engage with people in social settings that the individual attends to build bridges and connections – we are bridge builders. We build circles around a person. We create the conditions in which friendships can flourish. We have direct psychological supervision and support throughout. This work is short term and intense. Enjoy participating in a multimedia workshop that will challenge, entertain and reach for your emotions. Learning Objectives 1.To be able to understand the values and wider context of inclusion. 2.To be able to set up and run an ‘Inclusion Facilitation project to improve the life chances and connections of a child or young person. 3.To understand and be able to maximise the power of the peer group in supporting relationships, achievement and behaviour. Course Content The course answers the questions: What do you do with the child who is isolated by their aggression and anger, through being different, disabled or new to the school or community? Practically how do we go about including high profile children or young people? How can we help some children be friends? We will cover:  Inclusion values underpinning this work The Intentional Building of Relationships –‘Inclusion Facilitation’ work as an example Not doing it alone – The Importance of Teams in developing inclusive practice Practical setting up and running of IF work Lessons learned Stories of IF work

This offering is for an initial session exploring your enneagram map report , which is included. The test I use is from Aephoria, and it will give you your tritype (your strategies for thinking, feeling and doing) as well as your instinctual variant, which is helpful information about where you tend to focus your attention. Once you have your map, we will unpack the information together, and if you wish, go on to explore it over a series of sessions, using creative tools and practices to find its meaning and wisdom for you in your life.

Duration 2 Days 12 CPD hours This course is intended for This course is intended for SQL professionals, Microsoft Analysis Services cube and report developers, and business intelligence professionals. Overview ?Understand common Analysis Services solutions.?Understand version changes of SSAS from 2008-2014.?Understand Analysis Services installation and architecture.?Understand how to choose the right model.?Understand the Analysis Services tools available.?Understand the multidimensional model.?Utilize data sources and data source views.?Create a cube.?Understand and utilize dimensions.?Understand and utilize attributes.?Understand and utilize relationships.?Understand and utilize hierarchies.?Understand and utilize measures and measure groups.?Understand and utilize calculated members.?Understand and utilize perspectives.?Understand and utilize translations.?Browse perspectives and translations.?Understand and utilize deployment options.?Understand and utilize processing strategies.?Understand and utilize security.?Deploy a multidimensional model.?Understand the tabular model.?Create a tabular project.?Analyze the data using Microsoft Excel.?Create and configure calculated measures and calculated fields.?Backup and Restore. This course is intended for IT professionals who are interested in quickly learning how to utilize an Analysis Services multidimensional or tabular solution. Course Overview Introduction Course Materials Facilities Prerequisites What We'll Be Discussing Lab 1: Course Overview Introduction to Microsoft SQL Server Analysis Services Common Analysis Services Solutions Version Changes of SSAS from 2008-2014 Analysis Services Installation and Architecture: One Product, Two Models Choosing the Right Model Analysis Services Tools Lab 1: Introduction to Microsoft SQL Server Analysis Services The Multidimensional Solution Understanding the Multidimensional Model Utilizing Data Sources and Data Source Views Creating a Cube Lab 1: The Multidimensional Solution Dissecting with Dimensions Developing Dimensions Utilizing Attributes Relating with Relationships Handling Hierarchies Lab 1: Dissecting with Dimensions Managing Measures Measures and Measure Groups Calculated Members Lab 1: Managing Measures Configuring Cube Options Understanding Perspectives Utilizing Translations Browsing Perspectives and Translations Lab 1: Configuring Cube Options Deploying Examining Deployment Options Processing Strategies Exploring Security Lab 1: Deploying The Tabular Solution Understanding the Tabular Model Creating a Tabular Project Deploying Browsing the Model Querying the Solution and Understanding DAX Maintaining and Optimizing Lab 1: The Tabular Solution

Resilience is the ability to take the challenges and changes of life in your stride and say yes to the opportunities that excite you.

Why Choose Rhino Introduction to Intermediate Training Course? Learn: 3D NURBS models. Master: Surfacing modeling. Interface: Rhino's navigation. Rendering Skills: Enhance presentations with Rhino renderings. Check our Website Flexible Scheduling: 1-on-1 training sessions according to your convenience. Choose any hour between 9 a.m. and 7 p.m., Mon to Sat. You can call us at 02077202581 to book over the phone. Duration: 10 hours. Methods: Personalized training either in-person, or live online. Introduction and Navigation Become acquainted with Rhino's interface, menus, and screen layout. Efficiently traverse through Rhino models, ensuring precision in 2D lines, polylines, and NURBS curves. Utilize modeling setup features, incorporating constraints like snap, ortho, and planar for accuracy. Leverage object snaps and Smart Track functionality to enhance precision. Solid and Surface Modeling Develop rapid 3D solids and surfaces, employing Rhino's organized layering system. Utilize coordinates and constraints for meticulous modeling, exploring 3D space and elevations. Create diverse shapes, such as rectangles, circles, arcs, ellipses, and polygon curves. Elevate models with Rhino render and render color, incorporating free-form curves, helix, and spiral curves. Efficiently handle model views with pan, zoom, and view management tools. Implement various editing commands for curve manipulation and transform curves into surfaces and solids. Utilize history tracking for advanced editing and execute general editing actions: move, copy, rotate, mirror, and scale. Create arrays with both polar and rectangular arrangements and employ boolean operations like union, difference, and intersection. Offset curves and surfaces effectively, ensuring meticulous detailing. Intermediate Edit and Surfacing Introduce key NURBS modeling concepts and terminologies. Edit curves and surfaces via control point manipulation and rebuild them for optimal refinement. Employ the nudge modeling aid for precise adjustments and generate deformable shapes. Create curves through projection techniques and split surfaces using curves and surfaces. Blend surfaces seamlessly, utilizing symmetry tools, lighting, and rendering effects. Convert intricate 3D objects into detailed 2D drawings, expertly crafting page layouts. Advanced Surfacing and Solid Modeling Construct model primitives and solid text, employing techniques such as pipe and extrusion. Modify solids efficiently using Boolean tools, expanding your surface modeling capabilities. Employ techniques like extrusion, lofting, and revolving for intricate surfaces. Create sweeps using 1 and 2 rail curves, mastering surface network techniques for complex shapes. Upon completion, you will: Master Rhino Tools: Navigate interfaces, utilize advanced tools for precise modeling, and employ features like object snaps and Smart Track. Expert Solid and Surface Modeling: Develop intricate 3D solids and surfaces, create diverse shapes, and use Rhino render effectively. Advanced Editing Skills: Apply intermediate and advanced editing techniques, including symmetry tools and realistic rendering. Precision Modeling: Utilize coordinates, constraints, and advanced aids for accurate detailing and problem-solving. Professional Project Execution: Create high-quality renderings, 2D drawings, and polished 3D models for real-world design scenarios. Upon completion, you'll be adept at 3D modeling, product design, and architecture, positioning you as a valuable asset in the design industry. Why Choose Our Rhino Courses? Rhino, also known as Rhinoceros, stands as a robust 3D computer graphics and computer-aided design software, utilized extensively in domains like architecture, industrial design, and multimedia. Our Rhino courses are meticulously crafted to empower you in mastering this software. Led by seasoned instructors, our courses provide a comprehensive understanding of Rhino, enabling you to create exceptional designs. Rhino 3D Training: Our Rhino 3D training caters to beginners and those seeking advanced techniques. Course Highlights: Precise 3D Modeling: Master free-form 3D NURBS models with precision. Advanced Functionality: Explore Rhino's features, including advanced surfacing commands. User Interface Mastery: Navigate Rhino's interface and hone skills in curves, surfaces, and solids. Expert Guidance: Acquire expertise in Rhino's modeling environment under expert guidance. Modeling Techniques: Learn free-form and precision modeling techniques. Modeling Aids: Utilize tools for accurate modeling and create basic Rhino renderings. Benefits of our Courses: Expert Guidance: Receive instruction from experienced architects and designers, providing practical, real-world insights for comprehensive learning. Comprehensive Resources: Access bespoke video tutorials for additional learning and reference, enhancing your understanding of the course materials. Digital Reference Material: Receive a digital reference book to support your revision efforts, providing a comprehensive resource for your studies. Ongoing Support: Enjoy free after-support through phone or email even after course completion, ensuring continuous assistance and guidance. Tailored Learning Experience: Customize your learning journey by adapting the syllabus and projects to align with your specific needs and interests, fostering a personalized educational experience. Certificate: Upon completion, earn a certificate from us, validating your achievement and recognizing your expertise in the field.

Vectorworks One to One Fast Track Course Master Vectorworks in Just One Day (10 Hours)

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: A technical audience at an intermediate level Overview Using Amazon SageMaker, this course teaches you how to: Prepare a dataset for training. Train and evaluate a machine learning model. Automatically tune a machine learning model. Prepare a machine learning model for production. Think critically about machine learning model results In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment. Day 1 Business problem: Churn prediction Load and display the dataset Assess features and determine which Amazon SageMaker algorithm to use Use Amazon Sagemaker to train, evaluate, and automatically tune the model Deploy the model Assess relative cost of errors Additional course details: Nexus Humans Practical Data Science with Amazon SageMaker 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 Practical Data Science with Amazon SageMaker 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 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline 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 The Machine Learning Pipeline 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.