1786 Step courses in Sheffield delivered Live Online

Introduction to Agile for Executives: In-House Training This session provides executives with an overview of Agile values and principles, the key benefits of an Agile approach, and its differences with the traditional Waterfall method. During the session, we compare and contrast the major Agile methods, with an emphasis on Scrum, as the most popular in the market. And most importantly, we present some criteria for Agile Transformation, possible certifications to pursue, and what is needed at the senior leadership level to achieve the best business results. What you will Learn At the end of this program, you will be able to: Explain the basics and benefits of using an Agile approach Describe the Scrum framework, its events, artifacts, and roles and responsibilities Illustrate an Agile approach outside of Software Development Define Scaled Agile Determine how to support an Agile transformation for your organization Getting Started Introduction Course structure Course goals and objectives Agile Introduction What is Agile? Agile benefits Agile myths and realities Overview of Agile Methods Overview of Agile methods Scrum method Lean and Kanban methods Criteria and certifications What Executives Need to Know About Agile Agile is not just for IT Agile can be scaled Agile transformation needs your support Summary and Next Steps Review Personal Action Plan

Join us for a heartfelt discussion on navigating through grief with a positive mindset. Learn about healthy coping mechanisms and habits that can help you find peace and healing during difficult times. We will share valuable insights and practical tips to guide you towards a happier and healthier life. Register now and take the first step towards a brighter tomorrow! Learn how to cultivate positive habits to navigate through grief & loss and find happiness in life at our FREE event, Happy Life Habits: Positive Grief. Positive Grief will explore and share: Everyone’s grief journey is different 5+1 stages of Grief Top 5 regrets of the Dying Ideas on helping someone who is going through grief Ideas on helping yourself when experiencing grief Agenda What is Grief ? Positive Grief Grief Journey Growing around Grief Life & Death The End?

Duration 3 Days 18 CPD hours This course is intended for Developers who have some familiarity with serverless and experience with development in the AWS Cloud Overview In this course, you will learn to: Apply event-driven best practices to a serverless application design using appropriate AWS services Identify the challenges and trade-offs of transitioning to serverless development, and make recommendations that suit your development organization and environment Build serverless applications using patterns that connect AWS managed services together, and account for service characteristics, including service quotas, available integrations, invocation model, error handling, and event source payload Compare and contrast available options for writing infrastructure as code, including AWS CloudFormation, AWS Amplify, AWS Serverless Application Model (AWS SAM), and AWS Cloud Development Kit (AWS CDK) Apply best practices to writing Lambda functions inclusive of error handling, logging, environment re-use, using layers, statelessness, idempotency, and configuring concurrency and memory Apply best practices for building observability and monitoring into your serverless application Apply security best practices to serverless applications Identify key scaling considerations in a serverless application, and match each consideration to the methods, tools, or best practices to manage it Use AWS SAM, AWS CDK, and AWS developer tools to configure a CI/CD workflow, and automate deployment of a serverless application Create and actively maintain a list of serverless resources that will assist in your ongoing serverless development and engagement with the serverless community This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You will use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom. Introduction Introduction to the application you will build Access to course resources (Student Guide, Lab Guide, and Online Course Supplement) Thinking Serverless Best practices for building modern serverless applications Event-driven design AWS services that support event-driven serverless applications API-Driven Development and Synchronous Event Sources Characteristics of standard request/response API-based web applications How Amazon API Gateway fits into serverless applications Try-it-out exercise: Set up an HTTP API endpoint integrated with a Lambda function High-level comparison of API types (REST/HTTP, WebSocket, GraphQL) Introduction to Authentication, Authorization, and Access Control Authentication vs. Authorization Options for authenticating to APIs using API Gateway Amazon Cognito in serverless applications Amazon Cognito user pools vs. federated identities Serverless Deployment Frameworks Overview of imperative vs. declarative programming for infrastructure as code Comparison of CloudFormation, AWS CDK, Amplify, and AWS SAM frameworks Features of AWS SAM and the AWS SAM CLI for local emulation and testing Using Amazon EventBridge and Amazon SNS to Decouple Components Development considerations when using asynchronous event sources Features and use cases of Amazon EventBridge Try-it-out exercise: Build a custom EventBridge bus and rule Comparison of use cases for Amazon Simple Notification Service (Amazon SNS) vs. EventBridge Try-it-out exercise: Configure an Amazon SNS topic with filtering Event-Driven Development Using Queues and Streams Development considerations when using polling event sources to trigger Lambda functions Distinctions between queues and streams as event sources for Lambda Selecting appropriate configurations when using Amazon Simple Queue Service (Amazon SQS) or Amazon Kinesis Data Streams as an event source for Lambda Try-it-out exercise: Configure an Amazon SQS queue with a dead-letter queue as a Lambda event source Writing Good Lambda Functions How the Lambda lifecycle influences your function code Best practices for your Lambda functions Configuring a function Function code, versions and aliases Try-it-out exercise: Configure and test a Lambda function Lambda error handling Handling partial failures with queues and streams Step Functions for Orchestration AWS Step Functions in serverless architectures Try-it-out exercise: Step Functions states The callback pattern Standard vs. Express Workflows Step Functions direct integrations Try-it-out exercise: Troubleshooting a Standard Step Functions workflow Observability and Monitoring The three pillars of observability Amazon CloudWatch Logs and Logs Insights Writing effective log files Try-it-out exercise: Interpreting logs Using AWS X-Ray for observability Try-it-out exercise: Enable X-Ray and interpret X-Ray traces CloudWatch metrics and embedded metrics format Try-it-out exercise: Metrics and alarms Try-it-out exercise: ServiceLens Serverless Application Security Security best practices for serverless applications Applying security at all layers API Gateway and application security Lambda and application security Protecting data in your serverless data stores Auditing and traceability Handling Scale in Serverless Applications Scaling considerations for serverless applications Using API Gateway to manage scale Lambda concurrency scaling How different event sources scale with Lambda Automating the Deployment Pipeline The importance of CI/CD in serverless applications Tools in a serverless pipeline AWS SAM features for serverless deployments Best practices for automation Course wrap-up Additional course details: Nexus Humans AWS Developing Serverless Solutions 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 AWS Developing Serverless Solutions 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.

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If your organisation manages contractors then your staff need to understand the health and safety issues. This course is the answer. The expert trainer will set out clearly the legal responsibilities of all relevant parties and explore the practical application of these responsibilities with the course participants. The course will then examine the issues associated with the planning of work to be contracted out and the evaluation, selection, control and monitoring of contractors engaged to undertake the work. Although the main focus is on health and safety, the course will also explain how health and safety issues need to be integrated into your organisation's functional management processes to ensure effective control of contractors. The course will consider all types of contracted activities, including construction and maintenance, cleaning, security, plant installation, etc. This programme will give participants: A clear understanding of the organisation's legal responsibilities for managing contractors The information they need to assess the competence of contractors A practical understanding of risk assessment principles and the transfer of risk to contractors A step-by-step guide to the key aspects of managing contractors in practice, covering:Planning of the workSelecting contractorsHandover prior to work commencementDuring the workReviewing the work on completion Practical guidance on the integration of health and safety controls into organisational procedures for contractor management 1 Introduction Who are contractors? Why manage contractors? Different types of contractors Costs of poor contractor performance 2 Overview of health and safety law and liability Health and safety law and statutory duties Relevance of civil and criminal law Enforcement and prosecution 3 Relevant legislation for controlling contractors Health and Safety at Work Act 1974 Management of Health and Safety at Work Regulations 1999 Construction (Design and Management) Regulations 1994 (as amended, 2007) Other relevant legislation Contract law 4 Managing contractors in practice Exercise - how well is it happening? The objectives Five step approachPlanning of the workSelecting contractorsHandover prior to work commencementDuring the workReviewing the work on completion 5 Planning the work Scope and extent Risk assessment Interface and other activities Who controls what? Contract arrangements 6 Selecting the right contractor(s) Locating contractor organisations Selection the right contractors Assessing contractor competence Approved lists/frameworks Tender process 7 Pre-work commencement Co-ordination and co-operation Exchange of information Contractor risk assessments and method statements Permits to work Case study exercise 8 During contract work Communication and liaison Supervision and inspection of the work Inspection and reporting procedures Security issues Facilities and access 9 Reviewing work on completion Why, what and how? Achieving continuous improvement in contractor performance 10 Questions, discussion and review

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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.

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Autodesk Maya Basic to Fundamentals Training. Ideal for beginners, learn to navigate Maya's interface, create models, apply textures, animate objects, and delve into advanced topics. Engage in interactive in-person or online sessions. Access recorded lessons for review and receive lifelong email support. Learn 3D modeling and animation - enroll today! Click here for more info: Website Duration: 10 hours of immersive learning. Method: Personalized 1-to-1 sessions and Choose your own day and time Monday to Saturday 9 am to 7 pm. Course Overview: I. Introduction to Maya (1 hour) Maya overview and applications Basic interface and navigation tools Project creation and management II. 3D Modeling Techniques (2 hours) Polygon modeling fundamentals Creating, editing, and refining objects Advanced techniques like extrusions and bevels III. Texturing and Materials (1 hour) Introduction to texturing concepts Material creation and application Texture mapping, UV unwrapping, and image importing IV. Lighting and Rendering (1.5 hours) Basic lighting techniques and composition setup Rendering images and animations effectively Output options and file formats V. Animation Skills (2.5 hours) Keyframe animation and animation curves Character rigging and animation Special effects: particles, fluids, explosions, and smoke VI. Intermediate Modeling Techniques (1 hour) NURBS modeling basics and advanced curves/surfaces manipulation Creating organic shapes with NURBS and sculpting tools VII. Conclusion and Next Steps (0.5 hours) Course review and recap Further learning resources and tips Q&A and feedback session Autodesk Maya Basic to Fundamentals Training Course Key Learning Areas: Advanced modeling techniques: Surfaces, Polygons, Subdiv Modeling, etc. Deformation methods: Twist, Lattice, Flare, Bend Shape manipulation: Lines, Pen tools, Revolve, Loft, Planer, Text in Maya Animation: Keyframes, Path animations, Timeline Texturing and Rendering: Diffuse, Reflections, Transparency, Shaders, Resolution settings Lighting and Camera: Basic & advanced lights, Shadows, Camera effects, Path animation Note: The course content and duration are adaptable to cater to learners' needs and proficiency levels.   Maya Interface Proficiency: Participants will develop a comprehensive understanding of Maya's interface, tools, and workflow, allowing them to navigate seamlessly and manage projects efficiently. 3D Modeling Skills: Students will be equipped with polygon modeling techniques to create both basic and complex 3D models with precision. They will master the art of shaping and refining objects, elevating their creativity in 3D design. Texturing and Materials Mastery: Learners will gain expertise in texturing, applying materials, and incorporating images to enhance the visual appeal of their 3D models. They will create captivating surfaces with colors, textures, and reflectivity. Lighting and Rendering Expertise: Participants will learn essential lighting techniques to illuminate their scenes effectively. They will set up cameras and produce high-quality still images and dynamic animations with Maya's powerful rendering capabilities. Animation Techniques: Students will explore the world of animation, utilizing keyframe techniques and animation curves to bring their creations to life. They will delve into character rigging, animating characters with sophistication and realism. Special Effects and Dynamics: Learners will unleash their creativity with mesmerizing particle systems, fluid simulations, and dynamic effects. They will craft captivating visuals, such as explosions and smoke, adding depth and excitement to their projects. Intermediate Modeling Techniques: Participants will refine their skills with NURBS modeling, mastering curve and surface manipulation. They will create intricate organic shapes, pushing the boundaries of their artistic expression. Creative Problem-Solving: Throughout the course, students will tackle real-world projects, facing challenges that foster creative problem-solving skills. They will gain confidence in overcoming obstacles in 3D modeling and animation. Maya Essentials Basic to Fundamental Training Program: Course Focus: Autodesk Maya Essentials, covering fundamental concepts and techniques. Duration: Flexible scheduling, tailored to individual learning pace. Method: Personalized 1-1 training, interactive sessions, hands-on projects. Curriculum Highlights: Introduction to Maya (1 hour): Interface overview, navigation, project management. 3D Modeling Techniques (2 hours): Polygon basics, object creation, advanced editing. Texturing and Materials (1 hour): Texture mapping, material application, UV unwrapping. Lighting and Rendering (1.5 hours): Lighting fundamentals, composition setup, effective rendering. Animation Skills (2.5 hours): Keyframe animation, character rigging, special effects. Intermediate Modeling (1 hour): NURBS modeling, organic shapes, sculpting tools. Conclusion and Next Steps (0.5 hours): Course review, learning resources, Q&A session. These resources will complement your training, providing additional support and insights as you explore the world of Autodesk Maya. Explore the World of 3D Animation: Master the intricacies of 3D computer graphics and animation using Autodesk Maya. Delve into modeling, texturing, animation, and rendering to bring your creative visions to life. Practical Learning Experience: Dive into hands-on projects refining your skills. Craft 3D models, apply textures, animate characters, and produce polished renders. Recognized Industry Expertise: Gain proficiency in Autodesk Maya, a leading software in entertainment, gaming, and animation. Enhance your employability with highly sought-after skills, opening doors to diverse career paths. Endless Applications: Uncover Maya's versatility in entertainment, architectural visualization, product design, and more. Tailor your expertise to align with your passions and career aspirations. Reinforcement through Recordings: Access comprehensive lesson recordings for thorough review. Revisit specific topics, reinforcing your grasp of Autodesk Maya at your own pace. Continuous Guidance: Receive lifetime email support for ongoing mentorship. Seek answers, clarifications, and expert advice, ensuring your continuous growth even after completing the course.

Introduction to Agile for Executives: Virtual In-House Training This session provides executives with an overview of Agile values and principles, the key benefits of an Agile approach, and its differences with the traditional Waterfall method. During the session, we compare and contrast the major Agile methods, with an emphasis on Scrum, as the most popular in the market. And most importantly, we present some criteria for Agile Transformation, possible certifications to pursue, and what is needed at the senior leadership level to achieve the best business results. What you will Learn At the end of this program, you will be able to: Explain the basics and benefits of using an Agile approach Describe the Scrum framework, its events, artifacts, and roles and responsibilities Illustrate an Agile approach outside of Software Development Define Scaled Agile Determine how to support an Agile transformation for your organization Getting Started Introduction Course structure Course goals and objectives Agile Introduction What is Agile? Agile benefits Agile myths and realities Overview of Agile Methods Overview of Agile methods Scrum method Lean and Kanban methods Criteria and certifications What Executives Need to Know About Agile Agile is not just for IT Agile can be scaled Agile transformation needs your support Summary and Next Steps Review Personal Action Plan