3008 Development courses in Glasgow delivered Live Online

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) 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 Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) 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.

Event Description: The Year of YOU – No More Secrets Kick off 2025 with our first ORSC Community Event, The Year of YOU – No More Secrets! Building on the momentum from our Christmas Party and 12 Days of Christmas campaign, we’ll dive into visioning for the year ahead. Together, we’ll explore: 🌟 Which version of you will guide your journey in 2025 🎯 Vision boards or personal visions for the year 💡 A fun, collective-led experience full of connection and insight Details: 📅 Date: Monday, 13th January ⏰ Time: 5:00 PM – 6:30 PM GMT 📍 Location: Virtual on Zoom Register now to join us for fun, practice, exploration, and meaningful connection. We can’t wait to see you there!

As AI becomes more embedded in our workplaces, coaching needs to evolve to keep up. But how do we as coaches create the space for teams to truly integrate AI as a team member? Or maybe AI is not a team member – maybe that is us as coaches humanising it. Join us for our next ORSC Community Event on 12th March, where we’ll explore: How to coach effectively in the AI era Whether AI should have a "voice" in team alignment The balance between human intuition and digital intelligence Given the topic, we’re hosting this event virtually—embracing AI by bringing its voice into the conversation through our tech. Please invite your friends, colleagues and anyone who would benefit from the topic of conversation! All ORSC Curious+1's are welcome!

Some of you may have joined us for our February ORSC Community event, Is There Space for Love in Organisations? Thank you to those who joined us, your insights, curiosity, and willingness to explore this complex topic made for a powerful conversation. One thing is clear: this dialogue is far from over. As we navigate shifts in corporate culture, the need to balance masculine energy with love, connection, and relational intelligence is more important than ever. That’s why we’re continuing the conversation in our next Community Event on 29th April. Together, we’ll build on what we uncovered, deepen our practice, and explore how we can actively create workplaces where love and power coexist. Key questions we’ll address: What does love mean in a professional setting? How can love thrive alongside masculinity? Can masculinity be expressed in a loving, intentional way? What does “masculine aggression through a lens of love” look like in leadership and team dynamics? Keith McMahon and Dylan Smith will again guide us through an interactive session. This event isn’t just a discussion—it’s a space for practice, reflection, and transformation. Whether you’re a coach, leader, or someone passionate about building healthier workplace dynamics, you’ll leave equipped to inspire positive change. 📅 Date: February 29th April 📍 Location: Virtual Via Zoom Save the date and join us for this thought-provoking, practice-rich session. Together, let’s reimagine the role of love in a changing corporate world.

Course Title: Train the Trainer – Designing and Delivering Effective Training Course Duration: 2 days (or modular format over 3–4 half-day sessions) Target Audience: New or aspiring trainers, facilitators, team leads, or subject-matter experts who deliver training or knowledge-sharing sessions. Course Objectives By the end of this course, participants will be able to: Understand the principles of adult learning and training design. Confidently plan and structure engaging training sessions. Deliver content clearly using effective facilitation techniques. Manage group dynamics and encourage learner participation. Evaluate training effectiveness and improve performance. Course Outline Day 1: Designing Training for Adult Learners Module 1: Understanding the Trainer’s Role Role and responsibilities of an effective trainer Differences between training, presenting, and facilitating Characteristics of great trainers Module 2: Adult Learning Principles How adults learn: motivation, barriers, and learning preferences Learning styles and engagement strategies Applying adult learning theory to real training contexts Module 3: Training Needs Analysis Identifying learning needs and performance gaps Defining clear learning objectives Aligning training outcomes with organisational goals Module 4: Structuring a Training Session Designing training using ADDIE or the 4MAT model Creating session plans and timelines Balancing content delivery with interaction Day 2: Delivering and Evaluating Engaging Training Module 5: Facilitation Skills and Training Delivery Verbal and non-verbal communication Creating a safe and inclusive learning environment Encouraging participation and managing learner resistance Techniques for in-person and online delivery Module 6: Using Training Tools and Technology Using visuals and presentation aids effectively Incorporating activities, case studies, and role plays Facilitating discussions, group work, and Q&A Tips for hybrid and online delivery (Zoom, Teams, etc.) Module 7: Handling Group Dynamics and Challenges Managing difficult participants or situations Reading the room and adjusting on the fly Building confidence as a trainer Module 8: Evaluating Training Effectiveness Gathering and using learner feedback (Kirkpatrick Model) Self-reflection and peer observation Continual improvement of training materials and delivery Delivery Style Practical, hands-on workshops with active participation Peer feedback, group work, and presentation practice Real-time coaching and confidence building Assessment and Certification (Optional) Mini training delivery by each participant with peer and trainer feedback Completion of a training session plan Certificate of completion (customisable to organisation) Course Materials Provided Participant workbook and templates Sample training session plans and evaluation forms Trainer’s checklist and facilitation guide Resource list for further development

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.

Duration 2 Days 12 CPD hours Overview Create heightened self-awareness and personal discovery Establish a space of mutual respect by adapting your communication Work with resistance to gain commitment and buy-in Recognize and enhance trust by leading from any position Distinguish among varying attitudes and behaviors to make your teams work as a stronger unit One of DISC?s most intriguing applications is leveraging behavioral identification and adaptability. This workshop will guide you on the path of heightened self-awareness and personal discovery. You can make this your cornerstone seminar, revealing your unique behavioral style blend and how to apply that knowledge prescriptively to others, based on their style blend; thus boosting communication effectiveness. Studies indicate that 92% of workplace conflict is the result of misunderstanding and communication breakdowns. Your entire organization can apply DISC?s prescriptive lessons of behavioral adaptability to reduce employee conflict and turnover, increase productivity, and optimize team performance. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. 1. Understanding The World Of Disc What is DISC? Breaking down the four main styles: Dominant Influencing Steady Conscientious Determining behaviors to read styles: Indirect vs. Direct Open vs. Guarded 2. Building Stronger Self-Awareness Rating your own style Understanding the Platinum Rule Grid Breaking down your profile Natural Style Adapted Style 3. Reading And Adapting To Others? Behaviors Applying the Platinum Rule Identifying characteristics in others Communication strategies with others Adapting your approaches 4. Getting Buy-In From Others Selling yourself to others Getting buy-in from each profile Understanding the cycle of getting buy-in Assessing Solving Confirming agreement Assuring satisfaction 5. Trust-Based Leadership High performance leadership characteristics The key to listening to build trust Motivating strategies with each profile 6. Making Teams Work Understanding how we each make decisions Seeing the power in each style as a role Blending team styles for teamwork Reviewing the team needs to optimize effectiveness

Duration 1 Days 6 CPD hours This course is intended for This course is aimed at users with the Tableau CRM license who need to build effective lenses and dashboards for their business users to explore their data. It may also be of interest to users who are connecting and integrating this data, to understand how it is used in the lens and dashboard building process. Overview Build and manage apps in Tableau CRM Design a dashboard based on requirements, and create a dashboard template Create and add lenses to build a dashboard Optimize a dashboard for mobile use Ready to start building in Tableau CRM? In this course, you?ll find out how to design and create an effective dashboard layout to help viewers quickly find their way around. You?ll learn how to build lenses and add them into your dashboards using the Tableau CRM Dashboard Designer. Once you?ve created a dashboard, you?ll also learn how to optimize the dashboard for mobile. Finally you?ll also learn how to organize your lenses and dashboards using apps and ensure that only the right users have access to them.Looking for Tableau classes? Check out the Tableau catalog here. Managing Apps, Lenses, Dashboards, and Datasets Overview of building and managing apps Building an app Manage apps, lenses, dashboards, and datasets Designing a Dashboard and Creating a Template Dashboard Building Overview Designing a Dashboard Create a dashboard template Building a Dashboard Building a Dashboard Adding Charts, Tables, and KPIs to a Dashboard Adding Filters to a Dashboard Modify a Dashboard for Mobile Translating Desktop Dashboards to a Mobile Device Creating/Updating Mobile Dashboard Layouts

Duration 1 Days 6 CPD hours This course is intended for New administrators, business analysts or report writers who are new to creating reports or dashboards within Salesforce. Overview A student in this class will learn the basic Salesforce object model, and how to create and secure reports and dashboards. The instructor will lead students through exercises to create tabular, summary, matrix and join reports. Students will learn advanced reporting functionality such as charting, report summary fields, bucket fields, conditional highlighting, advanced report filters and building custom report types. Finally, the student will learn how to create and run dashboards and schedule and email reports and dashboards. This course is specifically designed to teach administrators, business analysts or report writers how to utilize the basic and advanced analytic capabilities of Salesforce. Introductions / Login to Training OrgsOverview of Salesforce Object ModelTabular, Summary, Matrix, Join ReportsCharts, Bucket Fields, Report Summary Fields, Conditional HighlightingCustom Report TypesDashboardsReport & Dashboard Scheduling Additional course details: Nexus Humans Introduction to Salesforce.com Analytics - Building Reports and Dashboards 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 Introduction to Salesforce.com Analytics - Building Reports and Dashboards 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 1 Days 6 CPD hours This course is intended for Individuals planning to deploy applications and create application environments on Google Cloud. Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services. Describe ways in which customers have used Google Cloud. Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine. Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore. Make basic use of BigQuery, Google's managed data warehouse for analytics. This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies. Introducing Google Cloud Platform Explain the advantages of Google Cloud Platform. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Platform Identify the purpose of projects on Google Cloud Platform. Understand the purpose of and use cases for Identity and Access Management. List the methods of interacting with Google Cloud Platform. Lab: Getting Started with Google Cloud Platform. Google Compute Engine and Networking Identify the purpose of and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Lab: Deploying Applications Using Google Compute Engine. Google Cloud Platform Storage Options Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable. Learn how to choose between the various storage options on Google Cloud Platform. Lab: Integrating Applications with Google Cloud Storage. Google Container Engine Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Introduction to Hybrid and Multi-Cloud computing (Anthos). Lab: Deploying Applications Using Google Container Engine. Google App Engine and Google Cloud Datastore Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand the purpose of and use cases for Google Cloud Endpoints. Lab: Deploying Applications Using App Engine and Cloud Datastore. Deployment and Monitoring Understand the purpose of template-based creation and management of resources. Understand the purpose of integrated monitoring, alerting, and debugging. Lab: Getting Started with Stackdriver and Deployment Manager. Big Data and Machine Learning Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Lab: Getting Started with BigQuery. Summary and Review Summary and Review. What's Next?.