Advanced Data Science with IBM Specialization

Colleagues, the Advanced Data Science with IBM Specialization equips you with Massive parallel  data processing, data exploration and visualization, and advanced  machine learning and deep learning.will have a proven deep understanding on massive parallel  data processing, data exploration and visualization, and advanced  machine learning & deep learning. You'll understand the  mathematical foundations behind all machine learning & deep learning  algorithms. You can apply knowledge in practical use cases, justify  architectural decisions, understand the characteristics of  different algorithms, frameworks & technologies & how they  impact model performance & scalability. If you choose to take this specialization and earn the Coursera specialization certificate, you will also earn an IBM digital badge.To find out more about IBM digital badges follow the link ibm.biz/badging. Training modules include: 1) Fundamentals of Scalable Data Science - learn  the fundamentals of Apache Spark using Python and PySpark, 2) Advanced Machine Learning and Signal Processing -  invaluable insights into Supervised and Unsupervised Machine Learning Models used by experts in many field relevant disciplines. We’ll learn about the fundamentals of Linear Algebra to understand how machine learning modes work. Then we introduce the most popular Machine Learning Frameworks for python Scikit-Learn and SparkML, 3) Applied AI with DeepLearning - insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and 4) Advanced Data Science Capstone -  a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case.

Register today (teams & execs welcome): https://tinyurl.com/mrxdyer2 

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

AWS Certified Cloud Practitioner (CLF-C01 Exam)

Colleagues, this program will equip you to pass the AWS Certified Cloud Practitioner (CLF-C01) exam. Global Knowledge projects average US salaries for certified AWS Cloud Architect at over $159k. This expert-led, video-based, certification prep course provides hands-on training with Amazon Web Services and third-party cloud solutions. Exclusive access to Pearson Test Prep practice exams and self-study quizzes are included to help you succeed on the AWS Certified Cloud Practitioner (CLF-C01) exam. 7+ hours of targeted, video-based lessons led by industry experts, Hands-on labs to simulate real-world experience around cloud computing concepts and core services, Self-study tools, such as flash cards to master key terms, and quizzes to self-assess your progress, and Exclusive Pearson Test Prep practice exams to fully prepare you to take the AWS Certified Cloud Practitioner (CLF-C01) exam with confidence (1 year of course access). It covers the full range of topics covered on the AWS Certified Cloud Practitioner (CLF-C01) exam, including: 1) Cloud concepts, fundamentals, and architectures, 2) AWS Global Cloud Infrastructure, including Amazon Elastic Compute Cloud (EC2), Amazon Elastic Block Store (EBS), and Amazon Simple Storage Service (S3), 3) Key services on the AWS platform and their common use cases (including compute and analytics), 4) Security and compliance aspects of the AWS platform and the shared security model, and 5) Billing, account management, and pricing models.

Enroll today (teams & execs welcome): https://tinyurl.com/2tnxe3r2 

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

Advanced Cloud Engineer Certification (Linux Foundation)

OSS colleagues, the Advanced Cloud Engineer Certification boot camp from the Linux Foundation enables you to accelerate your career in the global cloud computing sector. The training starts with containers and Kubernetes fundamentals, moving to system monitoring, cloud native logging, and Kubernetes application management, providing all the knowledge needed to work as a cloud administrator. It is Self-Paced, provides Extensive Hands-On Labs and Assignments, offers 12 months of access to online courses, a dedicated discussion forum, 12 month exam eligibility, PDF certificate, a digital badge and online office hours. Skill-based training modules include: Containers Fundamentals (LFS253), Kubernetes Fundamentals (LFS258), Certified Kubernetes Administrator Exam (CKA), Service Mesh Fundamentals (LFS243), Prometheus Systems Monitoring and Services (LFS241), Cloud Native Logging with Fluentd (LFS242), and Managing Kubernetes Applications with Helm (LFS244).

Register today (teams & execs welcome): https://fxo.co/9Sqz 

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

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