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Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Intermediate software developers Overview In this course, you will learn to: Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript Interact with AWS services and develop solutions by using the AWS SDK Use AWS Identity and Access Management (IAM) for service authentication Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions Use Amazon Cognito for user authentication Use Amazon ElastiCache to improve application scalability Leverage the CI/CD pipeline to deploy applications on AWS In this course, you learn how to use the AWS SDK to develop secure and scalable cloud applications using multiple AWS services such as Amazon DynamoDB, Amazon Simple Storage Service, and AWS Lambda. You explore how to interact with AWS using code and learn about key concepts, best practices, and troubleshooting tips. Module 0: Course Overview Agenda Introductions Student resources Module 1: Introduction to AWS Introduction to the AWS Cloud Cloud scenarios Infrastructure overview Introduction to AWS foundation services Module 2: Introduction to Developing on AWS Getting started with developing on AWS Introduction to developer tools Introduction to management tools Module 3: Introduction to AWS Identity and Access Management Shared responsibility model Introduction to IAM Use authentication and authorization Module 4: Introduction to the Lab Environment Introduction to the lab environment Lab 1: Getting started and working with IAM Module 5: Developing Storage Solutions with Amazon Simple Storage Service Overview of AWS storage options Amazon S3 key concepts Best practices Troubleshooting Scenario: Building a complete application Lab 2: Developing storage solutions with Amazon S3 Module 6: Developing Flexible NoSQL Solutions with Amazon DynamoDB Introduction to AWS database options Introduction to Amazon DynamoDB Developing with DynamoDB Best practices Troubleshooting Scenario: Building an end-to-end app Lab 3: Developing flexible NoSQL solutions with Amazon DynamoDB Module 7: Developing Event-Driven Solutions with AWS Lambda What is serverless computing? Introduction to AWS Lambda Key concepts How Lambda works Use cases Best practices Scenario: Build an end-to-end app Module 8: Developing Solutions with Amazon API Gateway Introduction to Amazon API Gateway Developing with API Gateway Best practices Introduction to AWS Serverless Application Model Scenario: Building an end-to-end app Lab 4: Developing event-driven solutions with AWS Lambda Module 9: Developing Solutions with AWS Step Functions Understanding the need for Step Functions Introduction to AWS Step Functions Use cases Module 10: Developing Solutions with Amazon Simple Queue Service and Amazon Simple Notification Service Why use a queueing service? Developing with Amazon Simple Queue Service Developing with Amazon Simple Notification Service Developing with Amazon MQ Lab 5: Developing messaging solutions with Amazon SQS and Amazon SNS Module 11: Caching Information with Amazon ElastiCache Caching overview Caching with Amazon ElastiCache Caching strategies Module 12: Developing Secure Applications Securing your applications Authenticating your applications to AWS Authenticating your customers Scenario: Building an end-to-end app Module 13: Deploying Applications Introduction to DevOps Introduction to deployment and testing strategies Deploying applications with AWS Elastic Beanstalk Scenario: Building an end-to-end app Lab 6: Building an end-to-end app Module 14: Course wrap-up Course overview AWS training courses Certifications Course feedback

Training duration: 10 hrs. Click here for more info Method: 1-2-1, Personalized attention, Tailored content, Flexible pace, Individual support. Schedule: Personalized training experience with our flexible 1-2-1 sessions. Tailor your own schedule by pre-booking a convenient hour of your choice, available from Monday to Saturday between 9 am and 7 pm. Discover the world of 3D computer graphics and animation with our Autodesk Maya Basic to Fundamentals Training Course. Whether you're a beginner or aspiring artist, this comprehensive program equips you with essential skills in modeling, animation, and rendering. Benefit from interactive learning, experienced instructors, and the option to choose in-person or live online sessions. Enroll now to gain industry-standard knowledge and unleash your creativity in the field of animation and visual effects. Maya Basic to Intermediate Course Course Duration: 10 hours Course Outline: I. Introduction to Maya (1 hour) - Gain an insightful overview of Maya and its diverse applications - Familiarize yourself with the Maya interface and essential tools - Master navigation and viewport controls with ease - Learn the art of creating and managing projects proficiently II. Creating 3D Models (2 hours) - Lay a strong foundation in polygon modeling basics - Craft and shape basic objects and shapes adeptly - Refine and modify objects with precision and creativity - Unlock the art of constructing complex objects using extrusions and bevels III. Texturing and Materials (1 hour) - Venture into the realm of texturing and its significance - Create and skillfully apply materials to enhance visual appeal - Master the art of texture mapping and UV unwrapping techniques - Seamlessly import and incorporate textures and images into your projects IV. Lighting and Rendering (1.5 hours) - Illuminate your creations with fundamental lighting techniques - Set up cameras and compose visually captivating scenes - Master the art of rendering still images and dynamic animations - Explore diverse output options and file formats for professional results V. Animation (2.5 hours) - Embark on an enthralling journey into the world of animation - Effectively utilize keyframe animation and animation curves - Create and edit animation clips for seamless and captivating motion - Dive into the intricacies of rigging and animating a simple character VI. Special Effects (1 hour) - Unleash the potential of particle systems and dynamics - Create and manipulate mesmerizing fluid and fire effects - Craft and refine awe-inspiring special effects such as explosions and smoke VII. Intermediate Modeling Techniques (1 hour) - Elevate your skills with NURBS modeling essentials - Create and modify curves and surfaces with finesse - Dive into the world of crafting organic shapes using NURBS techniques - Employ sculpting tools to create high-resolution and detailed models VIII. Conclusion and Next Steps (0.5 hours) - Recap the wealth of knowledge from the course content - Discover valuable tips and resources for further learning and growth - Engage in a dynamic Q&A session and provide valuable feedback

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.

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Garden design face to face training customised and bespoke.

Wouldn't sales be a 'walk in the park' without challenging customers? Why is it that some customers are so difficult to please, so quick to call 'foul' at the slightest blip and so mean with their gratitude after we've bent over backwards to accommodate them? Whether we are looking at prospective or existing customers, there is a toolkit for dealing with the most challenging of them. This course will help participants: Use broad open questions to give the customer a platform for their opinions or issues Improve listening skills to really understand what's behind the customer's challenging style Probe specific phrases to show listening and earn deeper disclosure Use silence to let challenging customers 'blow off steam' Understand the negative impact of certain phrases on a challenging customer Summarise effectively and reassure the customer of our understanding of their needs Recognise the 'behaviour cycle' and avoid emotional escalation Understand 'transactional analysis' and how to bring people from 'child' to 'adult' state Create loyalty in customers who are slow to give trust 1 What makes a customer 'challenging'? Why customers challenge us - understanding their drivers 'Wearing their shoes' - seeing things from their perspective Understanding our own personality style How to flex with a style that is different from our own Ways to quickly recognise a customer's style The benefits of flexing with a challenging customer's style 2 Practical exercise - forum theatre Participants take it in turns to deal with the trainer (who plays the role of the challenging customer) Observers stop the action when they hear or see something they deem wrong The participant in the seat gets a chance to use a suggested alternative line The participant who makes the suggestion has the chance to occupy the seat and deliver it themselves Frequent feedback from the trainer as to how the participant's words are making him feel Opportunities to rewind the action if an ill-advised line is suggested and delivered Flipchart for capturing what worked, what didn't work and why Mehrabian principle - the importance of body language and tone over words used 3 Questioning and listening skills How to use open questions to get the customer talking What questions to avoid and why The use of pauses and silence to reduce tension and build trust What listening is and what it isn't Question funnelling - how to earn deeper disclosure through probing The power of summary 4 Transactional analysis explained What is transactional analysis (TA)? Exploring the TA states and why people behave in that way under pressure How to bring challenging customers to 'adult' state to reduce tension How 'parent' or 'child' behaviours can be inadvertently triggered Understanding the 'behavioural cycle' and how to break it Mini-role play 'vignettes' to demonstrate real time impact of ill-chosen words 5 How to build trust with challenging customers Techniques for placating current challenging customers Methods that the participants have already used effectively - understanding why those methods worked and how other participants can model them Participants' experiences of trust having been lost - understanding why those experiences had that negative outcome How to 'go the extra mile' with challenging customers 6 Bringing a 'real' challenging customer to life Participants give the trainer a brief profile of a specific challenging customer of theirs 5-10 minute roleplay in which the trainer brings that individual to life Observing participants - without interrupting - make notes on what is and isn't working Trainer stops the action half-way through to give feedback on how he is feeling Participant goes back into the roleplay having recalibrated their approach based on feedback Observers give feedback on what did and didn't work Trainer comes out of character to explain the impact of the participant's words and behaviours 7 Wrap-up Key learnings from each participant Individual action planning - steps that can and will be implemented in the workplace

Exhilarating and empowering dance classes based on neuroscience and designed specifically for individuals living with Parkinson's disease. These dynamic and fun-filled 8 week program aims to enhance physical mobility, mental well-being, and social interaction.

Technology and innovation and its profound impact on financial operations Technology adoption indeed comes with risks, particularly around data security and privacy. As CFOs, we must ensure robust cybersecurity measures and adhere to strict data protection regulations. It requires ongoing investment in secure systems, staff training, and proactive monitoring to mitigate risks and protect sensitive financial information. Change management is also crucial. The adoption of new technologies requires proper planning, training, and cultural adjustments. As CFOs, we need to foster a culture that embraces innovation and continuous learning. Clear communication about the benefits and objectives of technology adoption is essential to gain buy-in and drive successful implementation. Fantastic insights! Now, let’s discuss the future. What emerging technologies do you foresee shaping the future of finance functions? One area that holds immense potential is blockchain technology. Its decentralised and transparent nature has the potential to streamline financial transactions, enhance auditability, and revolutionize supply chain finance. We’re closely monitoring blockchain’s development and exploring pilot projects to leverage its benefits. I agree, blockchain is a game-changer. Additionally, as the internet of things (IoT) expands, we anticipate new opportunities and challenges. CFOs will need to adapt to the influx of real-time data from interconnected devices, leveraging this information to optimize financial processes, enhance risk management, and improve operational efficiencies. Before we wrap up, any final thoughts or advice for our CFO audience? Embrace technology and view it as an opportunity rather than a threat. Invest in understanding the technological landscape and its implications for finance. Stay curious, adapt, and be open to change. Technology will continue to evolve, and as CFOs, we must evolve with it. Absolutely. Collaboration is key. Engage with IT teams, industry peers, and external experts to stay informed about the latest technological advancements. By fostering partnerships and sharing knowledge, we can collectively navigate the ever-changing technology landscape and drive innovation within our organisations. https://www.fdcapital.co.uk/podcast/technology-and-innovation-and-its-profound-impact-on-financial-operations/ Tags Online Events Things To Do Online Online Conferences Online Science & Tech Conferences #technology #innovation #financial #impact #operations

Duration 1 Days 6 CPD hours This course is intended for The audience for this course includes professionals who are new to Looker who are interested in leveraging Looker for data analysis, visualization, and reporting. The course is designed for individuals seeking to gain a comprehensive understanding of Looker's functionalities and apply these skills in their organizations to drive data-driven decision-making. Overview Working in a hands-on learning environment led by our expert facilitator, you'll explore and gain: Solid foundation in Looker's platform: Acquire a comprehensive understanding of Looker's key features, functionality, and interface, enabling you to effectively utilize the platform for your data analysis and visualization needs. Proficiency in LookML and data modeling: Develop essential skills in Looker's unique data modeling language, LookML, to create efficient and customized data models tailored to your organization's specific requirements. Expertise in creating Explores: Learn how to build, customize, and save Explores with dimensions, measures, filters, and calculated fields, empowering you to analyze your data and uncover valuable insights in a short amount of time. Mastery of dashboard design and visualization: Gain the skills to design visually appealing and informative dashboards, create various types of visualizations, and customize them to effectively communicate your data story. Improved content organization with folders and boards: Understand how to effectively use folders and boards in Looker to organize, manage, and discover content, making your data insights easily accessible for you and your team. Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker is a one day, hands-on course designed to equip professionals from a variety of backgrounds with the knowledge and skills needed to harness the full potential of their data using Looker's powerful platform. With the guidance of our expert trainers, you will gain a basic understanding of Looker's features, enabling you to create visually engaging, interactive, and insightful reports and dashboards to drive informed decision-making. Throughout this interactive workshop, you will explore Looker's key functionalities, including connecting to data sources, mastering LookML, building custom Explores, and designing captivating dashboards. With about 40% of the course dedicated to hands-on labs and a guided project, you will have ample opportunity to apply the skills you've learned in real world scenarios. Don't miss this opportunity to elevate your data analysis and visualization capabilities, enhance your professional skill set, and unlock the power of data-driven decision making. Getting Started with Looker Overview of Looker and its key features Navigating the Looker interface Connecting to Data Sources and LookML Basics Setting up and managing data connections Exploring database schemas Understanding LookML: Looker's data modeling language Creating and Customizing Explores Building and customizing Explores Adding dimensions, measures, and filters Creating calculated fields Data Visualization and Dashboard Design Creating visualizations using Looker's visualization library Customizing chart types, colors, and labels Displaying visualizations in dashboards Organizing Content with Folders and Boards Introduction to folders and boards in Looker Creating and managing folders for organizing content Setting up boards for easy content discovery Hands-on Workshop and Project Participants work on a guided project to apply the skills learned Wrap-up and Q&A Additional course details: Nexus Humans Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker (TTDVLK01) 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 Looker Basics: Quick Start to Analyzing and Visualizing Data using Looker (TTDVLK01) 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.