Angular: Zero to Full-Stack Developer Masterclass

Colleagues, the average salary for a Full Stack Developer is $109,735 according to GlassDoor.. The Angular: Zero to Full-Stack masterclass includes over 26+ hours of instruction. Training modules will equip you in: 1) JavaScript, 2) Angular for Modern Web Applications, Node.js Essentials and Full-Stack Web Development with Angular. It provides first-time JavaScript users what they need to become successful developers. Shaun Wassell offers a modern, full-fledged introduction to JavaScript. In particular, the viewer will learn the modern syntax of JavaScript: ES6. Shaun delivers step-by-step guidance that will take the learner from the basic syntax and concepts of JavaScript, all the way through the more advanced concepts that are covered in technical interviews. It also addresses the topics needed to effectively create and manage front-end codebases using Angular, currently one of the most popular front-end JavaScript frameworks. You start with a basic boilerplate application, and throughout the course, add new functionality to your skill set. Angular has undergone some substantial changes over the past few years, and this course presents the latest features and best practices.Node.js Essentials shows developers how to write and run server-side JavaScript applications for the powerful Node.js runtime. Finally, MEAN (MongoDB, Express.js, Angular, and Node.js) is one of the most popular stacks for building full-stack web applications. It enables developers to quickly write an entire application--front end, back end, and database--using only JavaScript. In this course, expert Shaun Wassell demonstrates the MEAN stack through five unique projects.

Enroll today (teams & execs welcome): https://tinyurl.com/4k7mes3j 

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What are the Top 10 Cloud Computing Certification & Training Programs? (#6)

Colleagues, the Google Cloud Certified Associate Cloud Engineer (Prep Class &  Practice Test) program from PearsonIT ranks #6 on our Top 10 Countdown. Gain a clear and easily digestible introduction and demonstration of the deployment of applications, monitoring of operations of multiple projects, and maintenance of enterprise solutions to ensure that target performance metrics are met. This video course is also designed to help you study for and pass the Google Cloud Certified Associate Cloud Engineer exam. The learner will gain the knowledge and experience necessary to begin working with public clouds and on-premises solutions. They will be able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud. Skill-based training modules cover: 1) Introducing Google Cloud Computing - Getting Familiar with Virtualization, Understanding Cloud Computing, Introducing Google Cloud Platform Services, 2) Setting Up a Cloud Solution Environment - Setting Up Cloud Projects and Accounts, Managing Billing Configuration, Installing and Configuring the Command Line Interface, 3) Planning and Configuring a Cloud Solution, Planning and Configuring Compute and Storage, 4) Deploying and Implementing a Cloud Solution - Deploying and Implementing Compute Services, Database and Storage Service, Networking Services and Using GCP Deployment Manager, 5) Ensuring Successful Operation of a Cloud Solution, Monitoring and Logging, Managing Identity and Access Management (IAM).

Enroll today (teams & execs welcome): https://tinyurl.com/2s4nu3p7 

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What are the Top 10 Cloud Computing Certification & Training Programs? (#7)

Colleagues, #7 on our Top 10 Countdown is Building AI Applications on Google Cloud Platform. Learn about the Cloud AutoML suite of machine learning products that allows developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Developers use Cloud AutoML’s graphical user interface to train, evaluate, improve, and deploy models based on their data. Building AI Applications on Google Cloud Platform LiveLessons covers programming components essential to the development of AI and Analytics applications. The focus is on building real-world software engineering applications on the Google Cloud Platform. Several emerging technologies are used to demonstrate the process, including AutoML and Google BigQuery. The Python language is used throughout the course, as Python is becoming the de facto standard language for AI application development in the cloud. Skill-based training modules equip you to: 1) Create an Application Skeleton on GCP using Google App Engine - Set up gcloud environment, Create Hello World application, Deploy Hello World application, Modify and re-deploy Hello World application, Architect Analytics Applications overview; 2) Build ETL (Extract Transform Load) Pipelines - ETL overview, Data flow demo, Cloud functions, GAE Cron jobs, 3) Use ML Prediction on BigQuery - Introduction to Big Theory, Create Supervised ML predictions with BigQuery, Create K-Means Clustering with BigQuery, 4) Use AutoML - AutoML overview, AutoML Vision and Tables. 5) Use AI Platform - Explore AI APIs, Predict with AI Platform, Use Notebooks for Data Science explorations, 6) Build an Analytics Application from Scratch - Create a new Analytics application from scratch, Build queries against BigQuery, Enhance an Analytics application, Enable functionality in an Analytics application, and 7) Using Build Systems and Containers - Architect continuous deployment systems, Configure your repository in Github, Configure makefile in Google Cloud Shell and Build your project in CircleCI.

Enroll today (teams & execs welcome): https://tinyurl.com/yfwu99ee 

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Linux Performance Tuning - LFS426 (Linux Foundation)

OSS colleagues, the Linux Performance Tuning program (LFS426) from the Linux Foundation is designed for IT professionals who are responsible for optimizing Linux performance. You will learn about industry configuration best practices, the best tried-and-true optimization performance tuning tools and techniques, how to manually optimize the kernel’s behavior, tracing, profiling and instrumentation techniques across a wide range of conditions. It prepares you to use all the tools and techniques you need to keep your Linux systems running at optimal levels. These techniques and tools have been developed and tested in the most demanding high-performance computing environments. Skill-based training modules include: 1) Performance Optimization Principles, 2) Benchmarking, 3) Tuning Interfaces, 4) Monitoring Interfaces, 5) Profiling Techniques and Tools, 6) Tracing Tools, 7) CPU Subsystem, 8) Power Management, 8) Process Scheduling, 9) Memory Subsystem, 10) NUMA Optimizations, 11) I/O Subsystem, 12) Local Filesystems, 13) Network Filesystems, 14) Storage and IO, 15) Analyzing the I/O Subsystem, 16) Network Subsystem Optimization, and  17) Virtualization.

Enroll today (teams & execs welcome): https://tinyurl.com/y2fba3hy 

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What are the Top 10 Cloud Computing Certification & Training Programs? (#8)

Colleagues, the average salary for a Cloud Architect is $133,726 according to GlassDoor. #8 on our Top 10 countdown is the Cloud Native Application Architecture training.  Master the skills necessary to become a successful cloud native architect. Use open source tools and projects like ArgoCD, gRPC and Grafana. Experience with HTTP, Python, Git, Linux, Docker is recommended. Training modules and hands-on projects include: 1) Cloud Native Fundamentals - structure, package, and release an application to a Kubernetes cluster, while using an automated CI/CD pipeline. Students will start by applying a suite of good development practices within an application, package it with Docker and distribute it through DockerHub. This will transition to the exploration of Kubernetes resources and how these can be used to deploy an application. Students will learn the fundamentals of Continuous Integration and Continuous Delivery (CI/CD) with GitHub Actions and ArgoCD and completely automate the release process for an application (Project: TechTrends),  2) Message Passing - Learn how to refactor microservice capabilities from a monolithic architecture, and employ different forms of message passing in microservices. To begin, students will create a migration strategy to refactor a service from a monolith to its own microservice and implement the migration (Project:Refactor UdaConnect), 3) Observability - This course covers the fundamentals of observability in distributed systems. Today, Kubernetes has become the de facto standard for Cloud Native applications and is widely used for distributed systems. Visualize data in a dashboard using Grafana (Project: Building a Metrics Dashboard), and 4) Microservices Security - Learn how to harden a Docker and Kubernetes microservices architecture. To begin, students will learn STRIDE to threat model and reason about microservice security. Next, students will dig deep to explore the Docker and Kubernetes attack surface and be introduced to industry open-source tools such as Docker-bench and Kube-bench to evaluate and harden Docker and Kubernetes weaknesses. Students will then learn about software composition analysis with Trivy and Grype to evaluate image layers and common application security vulnerabilities and provide remediation. Then deploy runtime security monitoring to introspect running microservices for security signals and learn how to respond to a security incident (Project: Hardened Microservices Environment).

Enroll today (teams & execs welcome): https://tinyurl.com/5a7sfev6 

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Top 10 Kubernetes & Docker Container Certification & Training Programs (#9)

Attention all Python, Java, C, R and Linux Developers, #9 on our Container Countdown is the Kubernetes for Developers (LFD259) program offered by the Linux Foundation. Learn how to containerize, host, deploy, and configure an application in a multi-node cluster. Starting with a simple Python script, you will define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Working with network plugins, security and cloud storage, you will be exposed to many of the features needed to deploy an application in a production environment.  It will equip you with expertise in high-velocity open source orchestration tools to deploy, scale, and update containerized applications. This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster. This course will teach you how to containerize, host, deploy, and configure an application in a multi-node cluster. Starting with a simple Python script, you will define application resources and use core primitives to build, monitor and troubleshoot scalable applications in Kubernetes. Working with network plugins, security and cloud storage, you will be exposed to many of the features needed to deploy an application in a production environment. The 35 hours of training includes:  1) Kubernetes Architecture, 2) Build, 4) Design, 5) Deployment Configuration, 6) Security, 7) Exposing Applications, and 8) Troubleshooting. 

Enroll today (teams & execs welcome): https://tinyurl.com/7yyamt8u 

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Top 10 Cloud Computing Certification & Training Programs (#9)

Colleagues, AWS Administrators on average earn $114,597 according to ZipRecruiter. A certification credential can likely add 3%-5%+ in income to this figure. Thus, #9 on our countdown  is the AWS Certified SysOps Administrator Associate (SOA-C01). This expert-led course provides exclusive access to Pearson practice tests, along with hands-on training to fully prepare for the AWS Certified SysOps Administrator - Associate (SOA-C01) exam.Deploying, managing, and operating fault-tolerant systems on AWS, with high availability and scalability, Implementing and controlling the flow of data to and from AWS, Selecting the appropriate AWS service based on compute, data, or security requirements, Identifying appropriate use of AWS operational best practices, Estimating AWS usage costs and identifying operational cost control mechanisms, Migrating on-premises workloads to AWS. This PearsonIT exam preparation program includes over 7+ hours of targeted, hands-on labs to simulate real-world experience (e.g., deploying, managing, and operating scalable, highly available, and fault-tolerant systems on AWS), self-study tools, such as flashcards to master key terms, and quizzes to self-assess your progress, comprehensive review of the structure and key AWS services covered on the SOA-C01 exam domains, practice deconstructing and applying AWS knowledge to exam questions to eliminate incorrect responses, and xclusive Pearson Test Prep practice exams to fully prepare to take the AWS Certified SysOps Administrator – Associate exam with confidence … all with 1 year of access.

Enroll today (teams & execs welcome): https://tinyurl.com/3zvuakhs 

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Top 10 Kubernetes & Docker Container Certification-Training Programs (#10)

Colleagues, Indeed.com reports that the average salary for a Software Engineer in the US is $147,213. Number 10 on our container countdown is the Docker Orchestration and Microservices program from InformIT. Learn to design web apps as microservices, use Docker to containerize your microservices, leverage modern Docker orchestration tools to aid in both developing and deploying your applications, and se Google’s container orchestration platform Kubernetes, and interpret the modern DevOps and container orchestration landscape. Skill-based training modules include: 1 - Thinking in Terms of Microservices, 2 - Dockerizing Your Microservices, 3 - Using Registries to Store and Distribute Docker, 4 - Deploying Single Instance Single Container Apps with Docker Machine, 5 - Local Development of Microservices-Based Apps with Docker Compose, 6 - Deploying Single Instance Multi-Container Apps with Docker Compose and Docker Machine, 7 - Multi¿Instance Multi-Container Applications with Docker Swarm, Stack, and Compose, 8 - Advanced Docker Swarm Configuration, and 9 - Container Orchestration with Kubernetes.

Enroll today (teams & execs welcome): https://tinyurl.com/7yyamt8u 

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Discover the Top 3 Full Stack Developer Training Programs

Colleagues, according to Talent.com the average salary for a FullStack Developer is $110,255. Our first training recommendation is Full Stack JavaScript Developer - backend development with Node.js. There are quite a few technologies involved to build the backend of an application that’s enterprise ready - go through working with Node.js and the core modules available, writing TypeScript for developer error reduction, testing with Jasmine to introduce unit testing in a Test Driven Development environment, and working with Express as a framework for building APIs (Project: Image Processing API); Creating an API with PostgreSQL and Express This course covers the primary skills required for API development. Students will build a RESTful JSON API with Node and Postgres. Along the way, you will cover essential topics like databases and querying, API architecture, database migrations, REST, CRUD (Project: Build a Storefront Backend); Angular Fundamentals - In Angular Fundamentals, students will learn the most important and foundational skills for building Single Page Applications (SPAs); 4) Deployment Process - Being able to deploy your own application is a skill that is often overlooked by developers, thus making it a rare and valuable skill to have! By building an automated pipeline and scripts students will gain insights into the world of automated deployments that has been revolutionizing how fast companies are able to deliver features to their customers. Next is Full-Stack React - build Full-Stack Apps with MongoDB, Express, React, and Node.js. It covers the fundamentals of full-stack development with the MERN (MongoDB, Express, React, and Node.js) stack (13 hours of instruction).. Meet the MERN Stack; Build a Full-Stack Meal-Tracker Application; Build a Members-Only Website; Build an Image-Sharing Application; Build a Stock-Trading Application; and Build a Real-Time Chat Application. And third, Full-Stack Software Engineer - includes JavaScript, Node.JS, SQL, Express.JS, React and TDD. As a jack of all trades a full-stack engineer can get a project done from start to finish. In this Career Path, you’ll begin with the front-end, move on to the back-end, then learn to connect the two. By the time you’re done, you’ll have the well-rounded skills needed to enter this in-demand job market.

Enroll today (teams & execs welcome): 

• Full Stack JavaScript Developer 

• Full-Stack React 

• Full-Stack Software Engineer 

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Top 10 Cloud Computing Certification & Training Programs

Colleagues, the average salary for a Microsoft Certified: Azure Administrator Associate is $121,420 based upon the Global Knowledge IT Skills and Salary Report (2021). Therefore, our #10 pick on our Top 10 Countdown is the Microsoft Azure Administrator Certification {AZ-103 Exam Prep}: Azure services such as Storage, Virtual Machines, Cloud Services, Azure Active Directory, advanced Virtual Networking and Secure Identities. You will be working on Azure services such as Storage, Virtual Machines, Cloud Services, Azure Active Directory, advanced Virtual Networking and Secure Identities through comprehensive hands-On. This Azure Administrator course will teach you how to manage services that relate to computing, storage and network security. AZ-104 training will help you improve your Azure Administrator skills and prepare for the Azure administrator exam. Skill-based training modules - mapped to the certification exam address: 1 - Introduction to Cloud Computing, 2- Overview of Microsoft Azure, 3 - Microsoft Azure Services, 4 - Azure Subscriptions, 5 - Management Groups, 6 - Azure Resource Manager, 7 - Azure Portal and PowerShell, 8 - Azure Resource Manager Policies, 9 - Azure Policy Definition Structure, 10 - Resource Management Locks, and 11 - Organizing Azure Resources.

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Java Developers - Top 10 Countdown of the Best Certification & Training Programs (#10)

Colleagues, the average compensation for a Java Developer is $107,493 according to GlassDoor. To advance your software career here is our Top 10 Countdown. Number 10 is Become a Java Programmer from Udacity. Learn to use techniques like syntax, conditional statements, functions, loops and collections. Exit the program with employable skills to solve real-world programming problems. Basic programming concepts like variables, loops and conditionals are desired. Training modules - each with hands-on labs - include: 1) Java Fundamentals - learn the fundamentals of Java. This course introduces the fundamental concepts and practices of Java programming. These include basic Object-oriented Programming (OOP) concepts such as classes, encapsulation and inheritance, as well as core Java concepts such as collections, exceptions and commonly used Java types (Project: Hotel Reservation Application), 2) Advanced Java Programming Techniques - combine excellent software designs with modern language features. This course will teach you some lesser known features of Java, such as functional programming, I/O, serialization, and reflection, and explore the design ideas that underpin understandable, extensible and scalable software systems. Learn the basic concepts and techniques of concurrent programming in Java, so your programs can take advantage of modern, multi-core hardware (Project: Legacy Web Crawler), and 3) Java Application Deployment - ecosystem topics that are necessary to develop production-ready applications. It starts by covering the construction and makeup of Java program artifacts. You will learn how Java program code is compiled, packaged and executed. Next, you’ll learn how to use Maven to automate and customize the build process, as well as manage external project dependencies. This course also covers the topic of Modules, introduced in Java 9, using the tools of JUnit 5 to write unit tests and evaluate code coverage. To expand our testing capabilities for complex applications, the Mockito library and test doubles will be covered as well (Project: UdaSecurity).

Enroll today and stay tuned for our #9 pick next week (teams & execs welcome): https://tinyurl.com/uazmc8vc 

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