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Overview This comprehensive course on Nodejs MySQL Login System Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Nodejs MySQL Login System Course comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Nodejs MySQL Login System Course. It is available to all students, of all academic backgrounds. Requirements Our Nodejs MySQL Login System Course is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 1 sections • 12 lectures • 03:21:00 total length •Module 01: Introduction: 00:03:00 •Module 02: Creating the Server: 00:15:00 •Module 03: Connecting the Database: 00:12:00 •Module 04: Handlebars: 00:14:00 •Module 05: Home and Register Page: 00:22:00 •Module 06: Creating Routes: 00:20:00 •Module 07: Register User: 00:30:00 •Module 08: Login User: 00:29:00 •Module 09: User Profile Page: 00:17:00 •Module 10: Private Pages: 00:31:00 •Module 11: User Logout: 00:08:00 •Module 12: Project Files: 00:00:00

Overview This comprehensive course on NodeJS made easy for MEAN or MERN Stack Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This NodeJS made easy for MEAN or MERN Stack Level 4 comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this NodeJS made easy for MEAN or MERN Stack Level 4. It is available to all students, of all academic backgrounds. Requirements Our NodeJS made easy for MEAN or MERN Stack Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 116 lectures • 06:46:00 total length •Module 01: Course and Instructor Introduction: 00:03:00 •Module 02: GITHub URL: 00:01:00 •Module 01: What is Node?: 00:05:00 •Module 02: Why Node?: 00:04:00 •Module 03: NodeJS package manager NPM: 00:02:00 •Module 04: Install Node and Visual Studio Code: 00:02:00 •Module 01: Create a simple node application: 00:04:00 •Module 02: Adding Dependencies: 00:04:00 •Module 03: OS Module: 00:05:00 •Module 04: Write a file sync and async: 00:07:00 •Module 05: Use Arrow Functions: 00:02:00 •Module 06: Append and Rename: 00:03:00 •Module 07: Read and Delete: 00:04:00 •Module 08: HTTP module in action: 00:03:00 •Module 09: Return JSON Response: 00:04:00 •Module 10: Use nodemon: 00:02:00 •Module 11: Scripts block: 00:04:00 •Module 01: Introduction 04: 00:04:00 •Module 02: What is REST?: 00:06:00 •Module 03: Create an Express App: 00:02:00 •Module 04: Express In Action: 00:05:00 •Module 05: Handle other HTTP Methods: 00:06:00 •Module 06: Use Router: 00:05:00 •Module 07: Create Customer Endpoint: 00:05:00 •Module 01: Introduction 05: 00:02:00 •Module 02: Mongo Command Line: 00:07:00 •Module 03: Steps: 00:03:00 •Module 04: Use Mongo Client: 00:04:00 •Module 05: Implement Find All: 00:04:00 •Module 06: GET single product: 00:04:00 •Module 07: What is body-parser?: 00:03:00 •Module 08: Configure body-parser: 00:02:00 •Module 09: Create Product: 00:04:00 •Module 10: Update Product: 00:06:00 •Module 11: Delete Product: 00:02:00 •Module 01: Introduction 06: 00:04:00 •Module 02: Steps: 00:01:00 •Module 03: Create Project: 00:06:00 •Module 04: Create Server JS: 00:02:00 •Module 05: Create and Configure Product Controller: 00:02:00 •Module 06: Create Mongoose Schema and Model: 00:02:00 •Module 07: Create: 00:04:00 •Module 08: Test and Flow: 00:03:00 •Module 09: Read: 00:03:00 •Module 10: Update: 00:04:00 •Module 11: Delete: 00:02:00 •Module 01: Introduction 07: 00:01:00 •Module 02: Steps 7: 00:01:00 •Module 03: Create the Project 7: 00:02:00 •Module 04: Get All: 00:02:00 •Module 05: Create and Update: 00:04:00 •Module 06: Get and Delete: 00:03:00 •Module 01: Mocha and Chai: 00:03:00 •Module 02: Steps 8: 00:02:00 •Module 03: Install Dependencies: 00:01:00 •Module 04: First Test: 00:06:00 •Module 05: Handle Failures: 00:02:00 •Module 06: Test Create and Get: 00:02:00 •Module 07: Before and after methods: 00:03:00 •Module 01: Introduction 09: 00:03:00 •Module 02: Steps 09: 00:03:00 •Module 03: Create DB Connection: 00:04:00 •Module 04: Mongoose Static Methods: 00:03:00 •Module 05: Create the Model and DAO: 00:07:00 •Module 06: Create the Controller: 00:08:00 •Module 07: Map Routes: 00:05:00 •Module 08: Test: 00:02:00 •Module 09: Use src folder: 00:02:00 •Module 10: Use Babel and ES6 Syntax: 00:06:00 •Module 01: Usecase: 00:01:00 •Module 02: Create the Project: 00:03:00 •Module 03: Setup Configuration: 00:04:00 •Module 04: Create Model: 00:05:00 •Module 05: Implement Patient DAO: 00:03:00 •Module 06: Create Patient Controller: 00:04:00 •Module 07: Create and Configure Routes: 00:03:00 •Module 08: Create Clinical DAO and Controller: 00:07:00 •Module 09: Run and Test: 00:06:00 •Module 10: Fix Bug and Test: 00:02:00 •Module 01: Introduction 11: 00:02:00 •Module 02: Install Docker Desktop: 00:01:00 •Module 03: Steps: 00:03:00 •Module 04: Create Dockerfile: 00:07:00 •Module 05: Create docker-compose.yml: 00:05:00 •Module 06: docker compose up: 00:05:00 •Module 01: Introduction 12: 00:01:00 •Module 02: AWS EC2 Introduction: 00:03:00 •Module 03: Launch an EC2 Instance: 00:05:00 •Module 04: Windows - Use MobaXterm and connect: 00:04:00 •Module 05: Install Mongo: 00:04:00 •Module 06: Install Node and Git: 00:02:00 •Module 07: Push Project to Github: 00:04:00 •Module 08: Run the APP on EC2 and Test: 00:04:00 •Module 01: Introduction 13: 00:01:00 •Module 02: Install React CLI: 00:01:00 •Module 03: Create Project: 00:06:00 •Module 04: Create Components: 00:03:00 •Module 05: Configure Routing: 00:04:00 •Module 06: Home Component: 00:03:00 •Module 07: Use State and React Hook: 00:04:00 •Module 08: Render Rows: 00:03:00 •Module 09: Enable CORS on the Node Project: 00:04:00 •Module 10: Test Home Page: 00:03:00 •Module 11: Add Patient - Create Form: 00:05:00 •Module 12: Handle Submit: 00:04:00 •Module 13: Add Clinical's - Create Form: 00:07:00 •Module 14: Add Clinical's - Handle Submit: 00:04:00 •Module 01: Introduction 14: 00:02:00 •Module 02: Steps 14: 00:01:00 •Module 03: Setup the database: 00:03:00 •Module 04: Setup Project: 00:02:00 •Module 05: Get All: 00:05:00 •Module 06: Get One: 00:03:00 •Module 07: Create: 00:04:00 •Module 08: Return after Insert: 00:02:00 •Module 09: Update: 00:03:00

In this course, you will learn full-stack web development with React JS for the frontend and Python Django for the backend. You will learn and explore various databases such as Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, and SQLite.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview At the end of the course, students will be able to: Understand container basics. Containerize an existing application. Understand Kubernetes concepts and principles. Deploy applications to Kubernetes using the CLI. Set up a continuous delivery pipeline using Jenkins Learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. Students will also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates. Introduction to Containers and Docker Acquaint yourself with containers, Docker, and the Google Container Registry. Create a container. Package a container using Docker. Store a container image in Google Container Registry. Launch a Docker container. Kubernetes Basics Deploy an application with microservices in a Kubernetes cluster. Provision a complete Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl. Break an application into microservices using Kubernetes? Deployments and Services. Deploying to Kubernetes Create and manage Kubernetes deployments. Create a Kubernetes deployment. Trigger, pause, resume, and rollback updates. Understand and build canary deployments. Continuous Deployment with Jenkins Build a continuous delivery pipeline. Provision Jenkins in your Kubernetes cluster. Create a Jenkins pipeline. Implement a canary deployment using Jenkins. Additional course details: Nexus Humans Getting Started with Google Kubernetes Engine 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 Getting Started with Google Kubernetes Engine 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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Data is the lifeblood of any business, and data administrators are responsible for ensuring that it is accurate, secure, and accessible. With the rise of big data, the demand for skilled data administrators in the UK is skyrocketing, with an impressive growth rate of 15% in job demand over the past year alone. What's more, professionals in this domain command handsome salaries, ranging between £50,000 to £85,000 annually. If you're interested in a career in data administration, or if you're looking to advance your existing career, our Data Administration Processes course is the perfect place to start. This comprehensive course will teach you everything you need to know about data administration, from the basics of data modeling and database design to more advanced topics such as data security and disaster recovery. Embracing this course can be a pivotal stepping stone in solidifying your career as a top-tier data administrator. Why would you choose the Data Administration Processes course from Compliance Central: Lifetime access to Data Administration Processes course materials Full tutor support is available from Monday to Friday with the Data Administration Processes course Learn Data Administration Processes skills at your own pace from the comfort of your home Gain a complete understanding of Data Administration Processes course Accessible, informative Data Administration Processes learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Data Administration Processes Study Data Administration Processes in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Data Administration Processes Course Data Administration Processes Curriculum Breakdown of the Data Administration Processes Course Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Data Administration Processes Course Learning Outcomes: Grasp foundational principles of data administration processes. Analyse and interpret various data visualisation tools. Understand and implement effective performance measurement structures. Recognize and address data variations strategically. Employ techniques to drive improvement through data. Present performance data with clarity and precision. Apply theoretical knowledge in real-world scenarios. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Administration Processes course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Data Administration Processes. It is also great for professionals who are already working in Data Administration Processes and want to get promoted at work. Requirements To enrol in this Data Administration Processes course, all you need is a basic understanding of the English Language and an internet connection. Career path The Data Administration Processes course will enhance your knowledge and improve your confidence. Data Analyst: £25,000 to £60,000 per year Data Entry Specialist: £18,000 to £30,000 per year Database Administrator: £30,000 to £65,000 per year Data Quality Manager: £35,000 to £70,000 per year Business Intelligence Analyst: £30,000 to £60,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Unlock the fundamentals of Islamic finance with our comprehensive online course. Whether you're new to the field or seeking to deepen your understanding, this course offers a structured exploration into the principles that govern ethical financial practices in Islam. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access In this course on Fundamentals of Islamic Finance, learners delve into the ethical principles and operational framework of financial practices aligned with Islamic law (Shariah). They explore the fundamental concepts that distinguish Islamic finance from conventional finance, such as the prohibition of interest (riba) and the emphasis on profit-sharing arrangements (mudarabah and musharakah). The course covers practical applications of Islamic finance in various financial products and services, including Takaful (Islamic insurance) and Islamic funds. It also addresses risk management strategies unique to Islamic finance contexts. Learners gain insights into the adaptation and implementation of Islamic financial principles within the regulatory environment of the United Kingdom. Overall, the curriculum equips learners with a comprehensive understanding of how Islamic finance operates ethically and effectively within global financial systems, preparing them to navigate and contribute to this specialized field. Course Curriculum Module 01: Ethics and Principles of Islamic Finance Module 02: Fundamentals of Islamic Finance Module 03: Islamic Finance in Practice Module 04: Takaful Module 05: Islamic Funds and Risk Management Module 06: Islamic Finance in the UK Learning Outcomes: Explain key principles of Islamic finance ethics and regulations confidently. Apply fundamental concepts of Islamic finance in theoretical scenarios effectively. Analyse practical applications of Islamic finance principles in real-world contexts. Describe the principles and operations of Takaful insurance accurately. Evaluate risk management strategies within Islamic funds comprehensively. Discuss the development and challenges of Islamic finance in the UK. CPD 10 CPD hours / points Accredited by CPD Quality Standards Fundamentals of Islamic Finance 1:26:06 1: Module 01: Ethics and Principles of Islamic Finance 11:06 2: Module 02: Fundamentals of Islamic Finance 14:52 3: Module 03: Islamic Finance in Practice 10:22 4: Module 04: Takaful 14:03 5: Module 05: Islamic Funds and Risk Management 18:28 6: Module 06: Islamic Finance in the UK 16:15 7: CPD Certificate - Free 01:00 Who is this course for? Financial professionals seeking knowledge in Islamic finance principles. Students interested in understanding ethical financial practices in Islamic contexts. Researchers exploring the application of Sharia-compliant finance in global markets. Individuals pursuing careers in Islamic banking and finance sectors. Consultants advising on financial services compliant with Islamic law. Career path Islamic Finance Analyst Sharia Compliance Officer Takaful Insurance Specialist Islamic Investment Advisor Financial Risk Manager Islamic Finance Consultant Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Data Analysis: Data Analysis Training Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analysis: Data Analysis Course. This Data Analysis Course describes the fundamentals of data, statistics, and an introduction to Data Analysis. How to get data and where to find it is explained in the Data Analysis Course. Moreover, this Data Analysis Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analysis Course provides an introduction to Python and Excel for Data Analysis. This thorough Data Analysis Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analysis Course to study the fundamentals of statistical analysis and machine learning. Main Course: Data Analysis (Data Analytics) Training Free Courses included with Data Analysis: Data Analysis Training Course: Course 01: Minute Taking Course 02: GDPR Course 03: Cyber Security [ Note: Free PDF certificate as soon as completing the Data Analysis: Data Analysis Training Course] Data Analysis: Data Analysis Training Online This Data Analysis (Data Analytics) Training consists of 12 modules. Curriculum of Data Analysis (Data Analytics) Training Course Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method of Data Analysis (Data Analytics) Training Course After completing Data Analysis: Data Analysis Training Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Data Analysis (Data Analytics) Training Course After completing the Data Analysis: Data Analysis Training Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Data Analysis: Data Analysis Training Online For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analysis Course is ideal. Requirements Data Analysis: Data Analysis Training Online To enrol in this Data Analysis: Data Analysis Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Data Analysis Training Course. Be energetic and self-motivated to complete our Data Analysis Training Course. Basic computer Skill is required to complete our Data Analysis Training Course. If you want to enrol in our Data Analysis Training Course, you must be at least 15 years old. Career path Data Analysis: Data Analysis Training Online This Data Analysis Course will assist you in obtaining positions as a business analyst, marketing analyst, data analysis, and in related fields.

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.