Software Development - Career Transformation Guide (2022)

Dev colleagues, this Software Development Career Transformation Guide includes valuable information that enables you to accelerate your career growth and income potential - Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Community and Networking resources. Glassdoor reports the average Software Developer salary across the US at $97,763. According to ZipRecruiter there are currently 779,726 Software Developer positions open in the US alone. In addition to “language/toolset-specific” demand and corresponding salaries there is a widespread demand for “Fullstack” Developers (front-end/back-end) in the Web Development, Artificial Intelligence-Machine Learning and Blockchain-Ethereum arenas.

Download your complimentary copy and enroll today. Share with your colleagues!: https://tinyurl.com/mv59kncu 

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

Google Cloud Certified Associate Cloud Engineer (Course and Practice Test)

Colleagues, the Google Cloud Certified Associate Cloud Engineer  program provides a exploration into the foundational concepts of cloud computing, Google Cloud Platform, and all the objectives and sub-objectives of the Google Cloud Certified Associate Cloud Engineer certification, including demonstrations of the deployment of applications, monitoring of operations of multiple projects. Training modules include: 1) Introducing Google Cloud Computing - familiarizes the viewer with virtualization technologies, which is at the heart of cloud computing. The cloud service types and deployment models are covered, as well as an introduction to GCP core services like Computing, Hosting, Storage, Networking, Database, and Big Data, finishing up with Machine Learning services, 2) Setting up a Cloud Solution Environment -  setting up Cloud Projects and Accounts among other important early lifecycle tasks and best practices. Exploring important billing concepts and practices, and installing and configuring the command line interface through the Cloud SDK download are also covered, 3) Planning and Configuring a Cloud Solution -  planning the deployment of compute, database, and storage solutions, 4) Deploying and Implementing a Cloud Solutions - 22 live demonstrations with more than two hours of hands-on labs. It covers all of the exam objectives for configuring compute, database, and storage services, as well as networking and other services like Google Cloud Launcher., and 5) Ensuring Successful Operation of a Cloud Solution.” discusses monitoring and logging–primarily with Stackdriver; and then the critical Identity and Access Management (IAM service) with both predefined and custom roles configured in both the Console and Google Cloud Shell.

Enroll today (teams & execs welcome): https://tinyurl.com/yfbj6647 

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

AWS Certified Solutions Architect Associate (SAA-C02)

Cloud colleagues, prepare to pass the AWS Certified Solutions Architect – Associate (SAA-C02) exam and accelerate your IT career. This course covers in-demand associate-level skills concerning the design, deployment, and use of AWS, preparing you for one of the most sought-after AWS certifications - 6+ hours of targeted, video-based lessons led by industry experts, hands-on labs to simulate real-world experience creating architecture that is cost-effective, high-performing, reliable, and secure, self-study tools, such as flashcards, and quizzes to self-assess your progress, exclusive practice exams to fully prepare for the SAA-C02 exam, test-taking strategies to help you pass the AWS Certified Solutions Architect – Associate (SAA-C02) exam and 1 year of access.Topic include: Using architectural patterns to design resilient, highly available, and decoupled infrastructures, Deploying high-performance compute, network, storage, and database resources, Designing least-privilege access control and secure application tiers, and deploying data protection mechanisms for encryption in transit and at rest, and Recognizing cost-effective compute, network, storage, and database implementation.

Enroll today (teams & execs welcome): https://tinyurl.com/ycxkma6w 

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

Google Cloud Professional Data Engineer

Colleagues, the Google Certified Professional Data Engineer ranks #1 in salary among all IT certifications in the  Global Knowledge 2021 IT Skills and Salary Report…. with an average salary of $171,749 USD.  This Google Cloud Professional Data Engineer program will prepare you to pass the cert exam and advance your career. Gain high-demand skills, including: 1) Understanding the Professional Data Engineer - Getting Started with Google Cloud and Qwiklabs, 2) Designing Data Processing Systems - Data processing systems design skills, data structures, and database skills, 3) Building and Operationalizing Data Processing Systems - Cloud Storage, Cloud SQL, Cloud Bigtable, 4) Operationalizing Machine Learning Models - Data analysis, analysis and optimization of business processes, and machine learning, 5) Security, Policy, and Reliability - Designing for Security and Compliance … plus test prep quizzes and supplemental study resources.

Register today (teams & execs welcome): https://tinyurl.com/3ntfujct 

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

Data Science - Career Transformation Guide (2022)

Colleagues, this Data Science Career Transformation Guide for 2022 includes valuable information that enables you to accelerate your career growth and income potential - Salaries (demand and growth), Certifications and Training programs, Publications and Portals along with Professional Community and Networking resources. The Global Knowledge 2021 IT Salary Survey ranks Google Certified Professional Data Engineer $171,749 USD #1 out of all certifications. Indeed.com lists some 599,779+ Data Scientist positions in the United States alone. There are three critical success factors in our career transformation model. First, Get Trained and Certified. Professionals with best in-class skill sets combined with industry-leading certifications advance more rapidly than your peers and typically earn 3%-5% above their colleagues. Second, Get Published. Relevant, succinct and insightful articles on best practices in your technical domain or functional discipline enhance your credibility and integrity. And third, Get Connected. Developing and maintaining a robust professional network - locally and globally - bolsters your career persona and positions you as the “go to” subject matter expert in your field. 

Download your copy and register today!: https://tinyurl.com/6mecac88

Much career success,  Lawrence E. Wilson (Online Learning Central)

Linux Foundation Certified Engineer - Linux Foundation (LFCE - LFS311)

Colleagues, the  Linux for System Engineers (LFS311) training will equip you to become a Linux Foundation Certified Engineer (LFCE ). The need for sysadmins with advanced administration and networking skills has never been greater, and competition for people with experience is fierce. Whether you’re looking for expert test prep for the Linux Foundation Certified Engineer (LFCE) certification, need training to help transition to Linux from other platforms, or you’re just brushing up on these vital admin and networking skills, this instructor-led course will teach you what you need to know. Learn advanced Linux administration skills including how to design, deploy and maintain a network running under Linux, how to administer the network services, the skills to create and operate a network in any major Linux distribution, how to securely configure the network interfaces, and how to deploy and configure file, web, email and name servers. Skill-based training modules - mapped to the LFCE cert exam include: 1) Linux Networking Concepts and Review, 2) Network Configuration, 3) Network Troubleshooting and Monitoring, 4) Remote Access, 5) Domain Name Service, 6) HTTP Servers, 7) Advanced HTTP Servers, 8) Email Servers, 9) File Sharing, 10) Advanced Networking, 11) HTTP Caching, 12) Network File Systems, 13) Introduction to Network Security, 14) Firewalls, 15) LXC Virtualization Overview, 16) High Availability, 17) Database, 18) System log, and 19) Package Management.

Enroll today (individuals & teams welcome): https://tinyurl.com/3nh9hkna 

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

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

SAS Advanced Programmer Professional Certificate

Dev colleagues, earn the SAS Advanced Programmer Professional Certificate and grow your career with a SAS® Credential. Learn to process data using Structured Query Language in the SAS environment   , use the SAS macro facility to design, write, and debug dynamic macro programs along with the advanced DATA step techniques and procedures to manipulate data. The three courses in this Professional Certificate include: 1) Structured Query Language (SQL) using SAS - learn how SQL can be used in SAS programs to create reports and query your data, Query and subset data, Summarize and present data, Combine tables using joins and set operators., Create and modify tables and views, Create data-driven macro variables using a query and Access DBMS data with SAS/ACCESS technology ; 2) technology. SAS Macro Language - learn advanced techniques within the DATA step and procedures to manipulate data, Perform text substitution in SAS code, Use macro variables and macro functions, Automate and customize the production of SAS code, Conditionally or iteratively construct SAS code, Write self-modifying, data-driven program; and 3) Advanced SAS Programming Technique - learn advanced techniques within the DATA step and procedures to manipulate data - Use additional functions (LAG, FIND/FINDER, and COUNT/COUNTC/COUNTW), Perform pattern matching using PRX functions, Process repetitive code, rotate data, and perform table lookups using arrays, Perform table lookups and sort data using hash and hash iterator objects, Create numeric templates using the FORMAT procedure, and Create custom functions using the FCMP procedure.

Sign-up today (teams & execs welcome): https://tinyurl.com/2h26z596 

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

Self-Driving Car Engineer (Training)

Colleagues, become a Self-Driving Car Engineer and accelerate your career growth. Self-driving cars are transformational technology, on the cutting-edge of robotics, machine learning and engineering. Learn the skills and techniques used by self-driving car teams at the most advanced technology companies in the world. Learn the techniques that power self-driving cars across the full stack of a vehicle’s autonomous capabilities. Using Deep Learning with radar and lidar sensor fusion, you will train the vehicle to detect and identify its surroundings to inform navigation.. Prerequisite knowledge of  Python, C++, Linear Algebra and Calculus is desired.  Training modules with a hands-on project include: 1) Computer Vision - develop critical Machine Learning skills that are commonly leveraged in autonomous vehicle engineering. You will learn about the life cycle of a Machine Learning project, from framing the problem and choosing metrics to training and improving models.You will build convolutional neural networks using TensorFlow and learn how to classify and detect objects in images. (Project: Object Detection in an Urban Environment); 2) Sensor Fusion - besides cameras, self-driving cars rely on other sensors with complementary measurement principles to improve robustness and reliability. Also learn how to fuse camera and lidar detections and track objects over time with an Extended Kalman Filter. Gain a solid foundation to work as a sensor fusion engineer on self-driving cars (Project: 3D Object Detection); 3) Sensor Fusion-Localization - learn all about robotic localization, from one-dimensional motion models up to using three-dimensional point cloud maps obtained from lidar sensors. Iterative Closest Point (ICP) and Normal Distributions Transform (NDP), which work with 2D and 3D data - utilize these scan matching algorithms in the Point Cloud Library (PCL) to localize a simulated car with lidar sensing, using a 3D point cloud map obtained from the CARLA simulator (Project: Scan Matching Localization); 4) Planning - route vehicles from one point to another, and it handles how to react when emergencies arise. The Mercedes-Benz Vehicle Intelligence team will take you through the three stages of path planning. Generate a safe and comfortable trajectory to execute that maneuver (Project: Motion Planning and Decision Making for Autonomous Vehicle); and 5) Control - control a car once you have a desired trajectory. In other words, how to activate the throttle and the steering wheel of the car to move it following a trajectory described by coordinates -  most common controller: the Proportional Integral Derivative or PID controller. You will understand the basic principle of feedback control and how they are used in autonomous driving techniques.(Project: Control and Trajectory Tracking for Autonomous Vehicles)

Sign-up today (teams & execs welcome): https://tinyurl.com/pabx6dkw 

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

Become a C++ Developer

Dev colleagues, Become a C++ Developer and expand your career-income potential. Learn C++, a high-performance programming language used in the world's most exciting engineering jobs -- from self-driving cars and robotics, to web browsers, media platforms, servers, and even video games. Learn C++ by Coding Five Project Get hands-on experience by coding five real-world projects. Learn to build a route planner using OpenStreetMap data, write a process monitor for your computer, and implement your own smart pointers. Finally, showcase all your newfound skills by building a multithreaded traffic simulator and coding your own C++ application. To optimize your chances of success in the C++ Nanodegree program, we recommend intermediate knowledge of any programming language. Training modules: 1)  C++ Foundations - develop, compile, and execute C++ programs as well as syntax, functions, containers, and how to link together multiple files (Project: Route Planner); 2) Object-Oriented Programming (OOP) - build classes, interfaces, and generic templates to create an object-oriented C++ program. Learn how modern C++ includes many tools for writing clean, reusable code (Project: Process Monitor); 3) Memory Management - control static and dynamic memory in C++ using the Resource Acquisition Is Initialization pattern, pointers, references, and move semantics (Project: Memory Management Chatbot); 4) Concurrency - launch process and threads in order to execute logic in parallel. Then advance to thread synchronization and communication, to experience the full power of concurrent programming (Project: Concurrent Traffic Simulation); and 5) Capstone Project - put all of your new C++ skills to use! Utilize the core concepts from this Nanodegree program - object-oriented programming, memory management, and concurrency - to build your own application using C++  (Project: Build your own C++ Application).

Sign-up today (teams & execs welcome): https://tinyurl.com/upkbb42s 

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