802 Amazon courses

Description:  Through Kindle publishing, you will be able to see published digital texts, stories, etc. Since Amazon is an outstanding online commercial centre, it is important to give a wide assortment of items, especially electronic books to consumers. Publishing Kindle eBooks might take you a long time to master but starting with the basics will help you step up your career. With proper skills in training and education, you will be able to learn the basics and how to publish eBook on Amazon. You will be taught Kindle Publishing Strategies in this course that would help the sales and promotions of your album. Who is the course for? EBook writers and publishers who are into Amazon Kindle publishing. People who have an interest in being profitable through Amazon Kindle Publishing. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Advanced Diploma in Kindle Publishing will be very beneficial and helpful, especially to the following careers: Blogger Content Creator Editor Publisher Writer. Module 1: Kindle Publishing Basics First Lesson 01:00:00 Second Lesson 01:00:00 Third Lesson 02:00:00 Fourth Lesson 01:00:00 Final Lesson 01:00:00 Module 2: Publishing eBook on Amazon The Treasures of Amazon Kindle 00:45:00 Finding the Magic Words 00:45:00 Creating the Magic Formula 01:00:00 Unlocking the Secret Sequence 00:45:00 Unveiling the Wonders of Your Work 00:30:00 How Much Are Your Secrets Worth 00:30:00 Other Types of Marketing 00:45:00 Module 3: Kindle Publishing Strategies Step 1-6 00:30:00 Step 7-14 02:00:00 Additional Supporting Material Amazon Kindle Publishing Guidelines 00:00:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Prepare for the AWS Certified Solutions Architect - Associate (SAA-C03) exam. Learn about the AWS Management Console, S3 buckets, instances, database services, cloud security, costs associated with AWS, Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS).

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers System Administrators Solutions Architects Overview This course is designed to teach you how to: Design a microservices-based architecture that uses containers Use Amazon ECS to run and scale a microservices-based application Integrate Amazon ECS with other AWS services Running Container-Enabled Microservices on AWS is designed to teach you how to manage and scale container-enabled applications by using Amazon Elastic Container Service (ECS). This course highlights the challenges of running containerized applications at scale and provides guidance on creating and using Amazon ECS to develop and deploy containerized microservices-based applications. In the hands-on lab exercises you will use Amazon ECS to handle long-running services, build and deploy container images, link services together, and scale capacity to meet demand. You will also learn how to run container workers for asynchronous application processes. Module 1a: Overview of Microservices on AWS Welcome to Simple Mustache Service! The monolith What are microservices? How to implement a microservices infrastructure The six principles of microservices Module 1b: Containers and Docker Introduction to containers Comparing virtual machines with containers Docker Running containers Storing container images Hands-on lab: Building and running your first container Module 2: Continuous delivery for container-based microservices Compare and contrast different software development cycles Use AWS CodePipeline to code, build, and deploy a microservice Use AWS CodeCommit as a source control service Use Jenkins to perform a Docker build Use Postman to run and test microservices Use AWS CloudFormation to provision and deploy microservices Hands-on lab: Using the Amazon ECS Service Scheduler Module 3: High availability and scaling with Amazon Elastic Container Service High availability Cluster management and scheduling Monitoring Scaling a cluster Scaling services Hands-on lab: Continuous delivery pipelines for container-based microservices Module 4: Security for container-based microservices Implement security Apply best practices Automate security Evaluate compliance requirements Embed security into the CI/CD Hands-on lab: Extending Amazon ECS with Service Discovery and Config Management Additional course details: Nexus Humans Running Container Enabled Microservices 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 Running Container Enabled Microservices 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 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: 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 This course teaches participants the following skills: Identify Google Cloud counterparts for AWS IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants will get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. 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 Identify the purpose of projects on Google Cloud Platform. Understand how AWS?s resource hierarchy differs from Google Cloud?s. Understand the purpose of and use cases for Identity and Access Management. Understand how AWS IAM differs from Google Cloud IAM. List the methods of interacting with Google Cloud Platform. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Understand how Amazon VPC differs from Google VPC. Understand the similarities and differences between Amazon EC2 and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in AWS. Deploy applications using Google Compute Engine. Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage,Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Amazon S3 and Amazon Glacier compare to Cloud Storage. Compare Google Cloud?s managed database services with Amazon RDS and Amazon Aurora. Learn how to choose among the various storage options on Google Cloud Platform. Load data from Cloud Storage into BigQuery. Perform a query on the data in BigQuery. Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Amazon Elastic Beanstalk. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Cloud Deployment Manager differs from AWS CloudFormation. Understand the purpose of integrated monitoring, alerting, and debugging. Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from AWS Data Lake. Understand how Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from AWS's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data. Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from AWS to Google Cloud. Additional course details: Nexus Humans Google Cloud Fundamentals for AWS Professionals 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 Google Cloud Fundamentals for AWS Professionals 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.

Learn how to successfully publish your ebooks, print books and audiobooks on Amazon and other major retailers within 30 days!

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 1 Days 6 CPD hours This course is intended for This course is intended for: Solutions architects, cloud engineers, including security engineers, delivery and implementation engineers, professional services, and Cloud Center of Excellence (CCOE) Overview In this course, you will learn to: Design and implement a secure network infrastructure Design and implement compute security Design and implement a logging solution Currently, the average cost of a security breach can be upwards of $4 million. AWS Security Best Practices provides an overview of some of the industry best practices for using AWS security and control types. This course helps you understand your responsibilities while providing valuable guidelines for how to keep your workload safe and secure. You will learn how to secure your network infrastructure using sound design options. You will also learn how you can harden your compute resources and manage them securely. Finally, by understanding AWS monitoring and alerting, you can detect and alert on suspicious events to help you quickly begin the response process in the event of a potential compromise. Module 1: AWS Security Overview Shared responsibility model Customer challenges Frameworks and standards Establishing best practices Compliance in AWS Module 2: Securing the Network Flexible and secure Security inside the Amazon Virtual Private Cloud (Amazon VPC) Security services Third-party security solutions Module 3: Amazon EC2 Security Compute hardening Amazon Elastic Block Store (EBS) encryption Secure management and maintenance Detecting vulnerabilities Using AWS Marketplace Module 4: Monitoring and Alerting Logging network traffic Logging user and Application Programming Interface (API) traffic Visibility with Amazon CloudWatch Enhancing monitoring and alerting Verifying your AWS environment Additional course details: Nexus Humans AWS Security Best Practices 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 Security Best Practices 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.

Publish your own books and become a renowned author Authors who have a book that they are ready to publish have two paths: traditional publishing, where a publishing house publishes the book, or self-publishing, where the author publishes the book themselves. Self Publishing is done via kindle and in this course you explore the ins and outs of kindle publishing. Kindle publishing is one of the tools authors can use to publish their work online. Publishing through KDP makes an eBook available on Amazon to Kindle readers. Kindle publishing includes a variety of useful features, including free file conversion, sales tracking, and additional tools to help you format special types of books, like textbooks and children's books. Kindle publishing self-publishing interface is very straightforward and easy to use. Once you log into the KDP dashboard you're greeted with the prompt to Create a New Title. In this course, you will be able to learn the basics and how to publish eBook on Amazon. You will be taught Kindle Publishing Strategies that would help the sales and promotions of your album. Course Highlights Advanced Course in Kindle Publishing is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Advanced Course in Kindle Publishing into several modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 20/30 hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Advanced Course in Kindle Publishing Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Advanced Course in Kindle Publishing is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Advanced Course in Kindle Publishing is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Module 1: Kindle Publishing Basics First Lesson FREE 01:00:00 Second Lesson FREE 01:00:00 Third Lesson 02:00:00 Fourth Lesson 01:00:00 Final Lesson 01:00:00 Module 2: Publishing eBook on Amazon The Treasures of Amazon Kindle FREE 00:45:00 Finding the Magic Words FREE 00:45:00 Creating the Magic Formula 01:00:00 Unlocking the Secret Sequence 00:45:00 Unveiling the Wonders of Your Work 00:30:00 How Much Are Your Secrets Worth 00:30:00 Other Types of Marketing 00:45:00 Module 3: Kindle Publishing Strategies Step 1-6 00:30:00 Step 7-14 02:00:00 Additional Study Material Amazon Kindle Publishing Guidelines 00:00:00 Mock Exam Final Exam

📚 Unleash Your Authorial Dreams with Kindle and CreateSpace Self-Publishing Mastery! 🚀 🌟 Are you an aspiring writer seeking to share your story with the world? Dive into the realm of self-publishing and turn your literary dreams into reality with our comprehensive course - Kindle and CreateSpace Self-Publishing Mastery!   🔍 Discover the roadmap to success in the self-publishing universe as you learn the ropes of Kindle Direct Publishing (KDP) and CreateSpace. Whether you're an amateur wordsmith or a seasoned writer, this course caters to all levels, providing invaluable insights and strategies to navigate the intricacies of the self-publishing landscape.   🔑 What You'll Gain from this Course: Expert Guidance: Learn from industry experts with years of experience in self-publishing. In-Depth Knowledge: Understand the nuances of Kindle Direct Publishing and CreateSpace from start to finish. Practical Strategies: Master the art of formatting, cover design, pricing strategies, and marketing techniques tailored for self-publishing success. Profit Maximization: Unlock secrets to optimize royalties and maximize your earnings as an independent author. Avoid Common Pitfalls: Sidestep common mistakes with insider tips on navigating the self-publishing journey effectively.   🎓 Course Highlights: Step-by-step tutorials guiding you through the publishing process. Interactive modules and engaging content for an immersive learning experience. Real-life case studies and success stories from self-published authors. Access to a supportive community of writers and mentors for networking and advice. Bonus resources and tools to streamline your self-publishing journey. 🚀 Empower yourself with the tools and knowledge to self-publish your masterpiece and reach a global audience! Join Kindle and CreateSpace Self-Publishing Mastery today and kickstart your journey as a successful indie author! 💡 Don't let your manuscript gather dust - bring it to life with our course! Enroll now and embark on your self-publishing adventure! 📝✨ Course Curriculum Module 1- Welcome to Publishing Books on Amazon with Kindle and CreateSpace Welcome to Publishing Books on Amazon with Kindle and CreateSpace 00:00 Module 2- Why learn these skills, tools to get started, and speed up production! Why learn these skills, tools to get started, and speed up production! 00:00 Module 3- Learn how to take a finished manuscript to publishing and where to get help Learn how to take a finished manuscript to publishing and where to get help 00:00 Module 4- Once you title the book it is pretty easy after that Once you title the book it is pretty easy after that 00:00 Module 5- The first sentence of the description is critical The first sentence of the description is critical 00:00 Module 6- Finishing the description strong Finishing the description strong 00:00 Module 7- Finding keywords quickly Finding keywords quickly 00:00 Module 8- Uploading the manuscript files to Kindle for the book and cover Draft Lesson 00:00 Module 9- Choosing KDP Select Choosing KDP Select 00:00 Module 10- Kindle eBook details finalized and categories Kindle eBook details finalized and categories 00:00 Module 11- Setting Pricing on Kindle Draft Lesson 00:00 Module 12- CreateSpace is easy to do when publishing on Kindle CreateSpace is easy to do when publishing on Kindle 00:00 Module 13- Finishing publication on CreateSpace Finishing publication on CreateSpace 00:00 Module 14- Making Sales on Amazon and Audible Making Sales on Amazon and Audible 00:00 Module 15- Thank you for finishing this Amazon Kindle and CreateSpace Book Publishing Class! Thank you for finishing this Amazon Kindle and CreateSpace Book Publishing Class! 00:00

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Architecture and course review Post course knowledge check Architecture review Course review