RPA Lifecycle: Introduction, Discovery and Design

Colleagues, the RPA Lifecycle: Introduction, Discovery and Design program will introduce you  to RPA and see how it is combined with cognitive solutions and analytics to enable organizations to adopt the model of a “Digital Workforce” and help them transform the nature of their work. You will also learn about the first two phases of the RPAimplementation lifecycle: Discovery and Design. In the Discovery phase, you take a set of business processes and identify those that are suitable and beneficial for automation.  In the Design phase, you create a plan for your RPA project. The learning will be reinforced through concept description and guided practice. Learn to Discuss the basics of RPA  , Understand Automation Anywhere's RPA architecture, Use the Process Assessment Template to build an automation pipeline of business processes that need to be automated, and Understand and perform feasibility and complexity analysis on the identified RPA candidates.  Acquire skill in Designing an automation blueprint, Analyzing technical and financial possibilities,, Problem Solving, Effort estimation of process automation, and Identifying business processes for automation.  Training modules address: 1) Understanding Robotic Process Automation - l recall the basics of automation, distinguish RPA from traditional automation, discover the Digital Workforce platform and understand Automation Anywhere's RPA architecture and lifecycle, 2) Identifying Automation Processes - Identify, sort, and brainstorm on eligible RPA candidates by analyzing business priorities. You will then determine automation feasibility by examining the eligible processes and their logic and identifying roadblocks - using the Feasibility Matrix. Further, you will perform complexity assessment on the feasible processes using the Complexity Calculator to define input and output metrics, and 3) Determining and Designing Automation Process - determine the savings and cost of the automation opportunity using the ROI Calculator and then design the automation process using the Process Design Template and other documents.

Enroll today (individuals & teams welcome): https://tinyurl.com/zbdfr9xs 

Much career success, Lawrence E. Wilson - Online Learning Central

Become an iOS Developer

Dev colleagues, in the  Become an iOS Developer program you will master the Swift programming language, and create a portfolio of iOS apps for iPhone and iPad to showcase your skills. Start by learning the basics of iOS app development using the Swift programming language and Xcode, Apple's development environment. Then, you’ll progress to build more complex and advanced applications, using networking, and Apple’s Grand Central Dispatch and Core Data, and will be ready to publish your capstone project to the App Store.  Training modules - each with hands-on projects - include: 1) Intro to iOS App Development with Swift - build your first app with Swift and Xcode, Apple’s programming environment for app development. You’ll learn how to use AutoLayout, UIButtons, and UILabels to create an interface, and how to react to touch events in an app using ViewController and multiple views. You’ll also learn how to set up audio recording and playback in a voice recording app (Project: Pitch Perfect); 2) UIKit Fundamentals - develop an app with UIKit, Apple’s front-end framework for developing fast and powerful web interfaces. Learn about the delegate pattern to make connections between the app’s model, view, and controller, and add table views and navigation to your app (Project: Meme - Parts 1 & 2); 3) Network Requests and GCD - incorporate networking into your apps, and harness the power of APIs to display images and retrieve data. Use Apple’s Grand Central Dispatch, or GCD, framework to create asynchronous apps, ensuring a smooth user experience, even while your apps run lengthy operations in the background (Project: On the Map); 4) Data Persistence- learn about simple persistence, the iOS File System, and the “sandbox.” Set up the classes we need to get Core Data up and running so that we can create, save, and delete model objects. Enable user interfaces to reactively update whenever the model changes, and safely migrate user data between versions (Project: Virtual Tourist). This is your chance to let your iOS Developer skills shine - design and build your own iOS app, taking the design from the drawing board to the App Store.

Sign-up today (teams & execs welcome):  https://tinyurl.com/2p8bsk3r 

Much career success, Lawrence E. Wilson - Online Learning Central

Introduction to Linux, Open Source Development, and GIT (LFD301) - Linux Foundation

OSS colleagues, the Introduction to Linux, Open Source Development, and GIT (LFD301)  program from the Linux Foundation introduces you to the world of Linux development and gives you the background and training you need to start working with Linux. Linux is exploding, and the demand for Linux developers has never been stronger. If you’ve been thinking about getting into Linux development, this is the best place to start. Learn about the history of Linux and what differentiates it from other UNIX-like operating systems, what the main ingredients of a Linux system are and how to use them, the essentials of system administration, such as user accounts and groups, essential commands, filesystems, security, and more, networking and threading models, aspects of compiling and using libraries, working with Java under Linux. Acquire high-demand skills in Open Source Software, Why Use Open Source Software?, Examples of Successful OSS Projects, How to Work in OSS Projects, Continuous Integration, OSS Licensing and Legal Issues, Leadership vs Control and Why Projects Fail, Respecting and Encouraging Diversity in OSS, GitHub and Other Hosting Providers, Linux and the Operating System, Graphical Environments and Interfaces, System Administration, Text Editors, Shells, bash, and the Command Line, Filesystem Layout, Partitions, Paths and Links, System Initialization, Memory, Networking, Command Details, Users and Groups, Linux Filesystems, Essential Command Line Tools, Bash Scripting, Files and Filesystems, Compiling, Linking and Libraries, Java Installation and Environment, Building RPM and Debian Packages, Introduction to GIT, Git Installation, Git and Revision Control Systems, Using Git: - an Example, Git Concepts and Architecture, Managing Files and the Index, Commits, Branches, Diffs, Merges, Managing Local and Remote Repositories, Using Patches, and Advanced Git Interfaces: Gerrit.

Register today (teams & execs welcome): https://tinyurl.com/4xepvmcp 

Much career success, Lawrence E. Wilson -  Online Learning Central

Python Desktop Application Development

Dev colleagues, the Python Desktop Application Development program enables you to easily create desktop applications using the simplicity of Python and the power of Qt. Learn how easy it is to write desktop applications using Python and its amazing friend, Qt. Python is famous for being simple yet powerful, and the same is true for Qt; in as little as 50 lines of code, you'll be able to write a fully functioning application. Not only that, but your application will also run on all major operating systems, and it will look like it's written for that operating system! Is Python good for desktop applications? Yes! Python is frequently used for creating desktop applications and GUI (graphical user interface) apps. Python is great for backend web development, and is famous for being simple yet powerful. And what is Qt? Qt is a free tool for creating GUI (graphical user interfaces). Qt makes it easier to incorporate buttons, windows, and several other widgets for users to interact with in your application. This Python Desktop Application Development course will teach you how to create desktop apps with Python and Qt, including: Why use Python for desktop application development?, Helpful tools, Basic code structure, QWidgets and how to use them, Events and layouts, Basic UI design and Functionality.

Sign-up today (teams & execs welcome):  https://tinyurl.com/2p9xs96c 

Much career success, Lawrence E. Wilson - Online Learning Central

Open Source Virtualization - Linux Foundation (LFS462)

Colleagues, the Open Source Virtualization (LFS462) from the  Linux Foundation takes a deep dive into KVM (Kernel-based Virtual Machine) and Xen, the most popular hypervisor virtualization technologies in the open source ecosystem, along with deployment and use of containers. This program provides KVM training from the ground up with a focus on QEMU and libvirt, as well as Xen. You will learn how these and other related open source components can be assembled to create a virtual IT infrastructure. There is a focus on practical deployment skills, securing the virtual infrastructure, and administering solutions, as well as detailed material about using containers. Lab exercises focus on virtual images and snapshots, deployment, VM creation and maintenance, integration with networking infrastructure, device pass-through and more. Skill-based training modules address: 1) Virtualization Overview, 2) KVM Quick-Start, 3) KVM Architecture and Relationship with Linux, 4) Running KVM Using QEMU, 5) libvirt, 6) Hardware Support, 7) Tuning for Performance, 8) KVM Security, 9) Xen Hypervisor Architecture, 10) Installing and Configuring Xen, 11) Administration of Xen domains, 12) Xen Performance and Tuning, 13) Xen Security, and 14) Working with Linux Containers.

Enroll today (individuals & teams welcome): https://tinyurl.com/2zs8cewy 

Much career success, Lawrence E. Wilson -  Online Learning Centra

AWS Machine Learning Engineer

Colleagues, the AWS Machine Learning Engineer program enables you to meet the growing demand for machine learning engineers and master the job-ready skills that will take your career to new heights. master the skills necessary to become a successful ML engineer. Learn the data science and machine learning skills required to build and deploy machine learning models in production using Amazon SageMaker. Training modules with hands-on projects cover: 1) Introduction to Machine Learning In this course, you'll start learning about machine learning through high level concepts through AWS SageMaker. Create machine learning workflows, starting with data cleaning and feature engineering, to evaluation and hyperparameter tuning. Finally, you'll build new ML workflows with highly sophisticated models such as XGBoost and AutoGluon (Project: Bike Sharing Demand with AutoGluon), 2) Developing Your First ML Workflow - machine learning workflows on AWS. Learn how to monitor machine learning workflows with services like Model Monitor and Feature Store. With all this, you’ll have all the information you need to create an end-to-end machine learning pipeline (Project: Build and ML Workflow on SageMaker), 3) Deep Learning Topics within Computer Vision and NLP - train, finetune, and deploy deep learning models using Amazon SageMaker. Learn about advanced neural network architectures like Convolutional Neural Networks and BERT, as well as how to finetune them for specific tasks. Finally, you will learn about Amazon SageMaker and you will take everything you learned and do them in SageMaker Studio (Project: Image Classification using AWS SageMaker), 4) .Operationalizing Machine Learning Projects on SageMaker - deploy professional machine learning projects on SageMaker. It also covers security applications. Learn how to deploy projects that can handle high traffic and how to work with especially large datasets (Project: Operationalizing an AWS ML Project), and 5) Capstone Project - .Inventory Monitoring at Distribution Centers. To build this project, students will have to use AWS Sagemaker and good machine learning engineering practices to fetch data from a database, preprocess it and then train a machine learning model. This project will serve as a demonstration of end-to-end machine learning engineering skills that will be an important piece of their job-ready portfolio.

Enroll today (eams & execs welcome): https://tinyurl.com/yckjbdnb 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (https://tinyurl.com/2p9aj9n5) 

Become a Java Web Developer

Developers, in the Become a Java Web Developer program you will learn enterprise scale back-end development with Java, and be prepared for the software engineering jobs that are in demand at a majority of Fortune 500 companies like Google, Amazon, Netflix, and more. To optimize your chances of success in the Java Web Developer Nanodegree program, we recommend intermediate knowledge of Java. See detailed requirements.Training modules - each with a hands-on project include: 1) Spring Boot Basics - learn the fundamentals of Java while being introduced to a Spring Boot framework and associated integrations and plugins (Project: Build a Web-Based Personal Storage Application); 2) Web Services and APIs - explore the differences between web services, APIs, and microservices. Develop REST and GraphQL APIs, and learn how to secure, consume, document, and test those APIs and web service (Project: Build the Back-End System for  a Car Website), 3) Data Stores & Persistence - build applications that read and write to relational databases using both the Java Persistence API (JPA) and SQL. Use standard design patterns to make your persistence layer easy to test and integrate with a Spring Boot application (Project: Design the Data Model for a SAAS Application), and 4) Security and DevOps - learn about Git, version control, and best practices for authorization and authentication. Use Jenkins to build a CI/CD pipeline to deploy code to production 

Sign-up today (teams & execs welcome): https://tinyurl.com/yrv8rcwz 

Much career success, Lawrence E. Wilson - Online Learning Central