PMP Certification Exam (Training)

Colleagues, certified Project Management Professional (PMP)® is a global credential offered by PMI® Inc. The 2022 SkillSoft IT Salary Survey estimates that PMP holders earn on average $148,290 per year. PMP Certification is a globally recognized, rigorous, education and/or professional experience, and examination-based credential program. This training is in line with the latest edition of PMBOK. The PMP training is live instructor-led, which gives extensive knowledge of Project Management concepts highlighted in the PMBOK Guide - 7th Edition and aligned with the latest PMP Exam Content Outline. Skill-based training modules - mapped to PMP exam criteria include: 1) Create a High Performing Team - Build a Team, Define Ground Rules, Negotiate Project Agreements, Empower Team Members and Stakeholders, Train Team Members and Stakeholders, Engage and Support Virtual Teams, Build a Shared Understanding About a Project, 2) Starting the Project - Project Methods and Practices, Plan and Manage Scope-Budget and Resources- Schedule- Quality of Products and Deliverables-Procurement-Project Closure, Integrate Project Planning Activities, Establish Project Governance Structure, 3) Do the Work - Assess and Manage Risks,  Execute Project to Deliver Business Value, Manage Communications, Engage Stakeholders, Create Project Artifacts, Manage Project Changes & Issues, Ensure Knowledge Transfer, 4) Keep the Team on Track - Lead a Team, Support Team Performance, Address and Remove Impediments, Obstacles, and Blockers, Manage Conflict, Collaborate with & mentor Stakeholders, Apply Emotional Intelligence to promote team performance, 5) Keeping the Business Environment in Mind - Manage Compliance Requirements, Evaluate and Deliver Project Benefits and Value, Address Business Environment Changes, Support Organizational Change, and Employ Continuous Process Improvement. 

Enroll today (teams & execs are welcome): https://tinyurl.com/2wyrfjh9 

Download your complimentary Software Development - Career Transformation Guide. 

Much career success, Lawrence E. Wilson - Online Learning Central (share with your team) 

Linux Foundation Certified Cloud Technician (LFCT)

OSS Colleagues, the Linux Foundation Certified Cloud Technician (LFCT) exam demonstrates a candidate’s competence of using the command line to configure, manage, and troubleshoot Linux systems and containers in a platform- and distribution-agnostic way. Learners will now have access to an exam simulator, provided by Killer.sh, to experience the exam environment. You will have two exam simulation attempts (36 hours of access for each attempt from the start of activation). Simulation includes 20-25 questions (which are exactly the same for every attempt and every user (unlike those found on the actual exams) and graded simulation results. Domains and  Competencies include: 1) Essential Commands (20%) - Search for, compare, and manipulate files and file content, Use pipes and shell input/output redirections, Analyze file content using regular expressions, Create and work with archives, Create and manage hard and symbolic links, and List, set, and change file access permissions, 2) System Configuration (15%) - Install software packages, Create and maintain filesystems, Administer local user and group accounts, Configure and set system time and timezone, and Configure networking and local hostname resolution, 3) Troubleshooting (20%) - Identify and inspect processes and services, Health-check and repair network services, Identify and inspect storage issues, and Troubleshoot containers, 4) Virtualization and Containers (20%) - Create and manage local and cloud-hosted VMs, Use cloud-init to initialize cloud-hosted VMs, Create and manage application containers (Podman or Docker), and Understand the need for container orchestration, and 5) GitOps Basics (25%) - Use the Git version control system, Perform change/code review, Work on version control and collaboration platforms (GitHub, GitLab), Understand models of change management, Run commands on multiple systems and capture output, and Automate configuration management.

Enroll today (teams & execs are welcome): https://tinyurl.com/mwnht2d4 

Download your complimentary Linux & Open Source - Career Transformation Guide. 

Much career success, Lawrence E. Wilson - Online Learning Central (share with your team)  

Creative Problem Solving - Root Cause Analysis, 5 Whys, Feynman Technique & Beyond (new audio & ebook)

Colleagues, would you like to understand and master the top 10 creative problem solving techniques used by teams, individuals and organizations worldwide? The new “Creative Problem Solving” book is your perfect starting point. You will learn: 1) The Characteristics of Creative Problem Solvers, 2) Mind Mapping, 3) Seven-Step Problem Solving Process, 4) Root Cause Analysis, 5) Force Field Analysis, 6) PESTEL Analysis, 7) Five Whys, 8) SCAMPER Technique, 9) SWOT Analysis, 10) Phoenix Checklist, and 11) Feynman Technique. The aim of this book is to furnish the reader with a comprehensive survey of the top ten most noteworthy problem-solving strategies and steer them towards selecting the ideal approach(es) for their conundrum, executing the method, and evaluating the outcome. This book endeavors to equip the reader with a thorough understanding of how to wield these techniques with efficacy, enabling them to tackle problems effectively across a spectrum of scenarios.

This book is part of the “Learning Wizard” series (https://tinyurl.com/5rkcmx4m)  

1 - Creative Problem Solving: Root Cause Analysis, 5 Whys, Feynman Technique and Beyond (Audible) (Kindle) 

2 - Transformation of the Global Education System (Audible) (Kindle) 

3 - Gifted - Transform your life with lessons learned from the world’s most creative people (Audible) (Kindle) 

4 - The Art and Science of Learning - Ordinary Gifts … Exceptional Results (Audible) (Kindle) 

Much success, Genesys Digital (share with your team) [https://tinyurl.com/6pwbp36d]

Intermediate Python (Training)

Dev Colleagues, gain practitioner-level skills with “Intermediate Python” and learn the language powering transformation in Data Science, Machine Learning, and beyond (estimated 2 months to complete). Python is the general-purpose coding language with applications in web development, data science, machine learning, fintech and more. The Intermediate Python Nanodegree program equips you to leverage the capabilities of Python and streamline the functionality of applications that perform complex tasks, such as classifying files, data mining a webpage, etc. Prerequisite knowledge - Basic familiarity with programming in Python. Training modules with hands-on projects include: 1) Advanced Python Topics - Python's methods to describe data, then dig deeper into functions and functional design, and create strategies for solving problems. You'll investigate the ins-and-outs of objects and object-based design, obtaining order from the interconnected ideas captured within class objects and instance objects. Finally, you'll have an opportunity to fuse Python with external files, culminating in the creation of complete codebases that can crunch numbers or protect the planet from peril (Project: Near-Earth Objects), 2) Large Codebases with Libraries - learn to write, structure, and extend your code to be able to support developing large systems at scale. Understand how you can leverage open source libraries to quickly add advanced functionality to your code and how you can package your code into libraries of your own. Apply Object Oriented Programming to ensure that your code remains modular, clear, and understandable. Honing these skills are the foundations for building codebases that are maintainable and efficient as they grow to tens of thousands of lines (Project:Meme Generator).

Enroll today (teams & executives are welcome): https://tinyurl.com/2vujw2dk 

Download your free AI-ML-DL - Career Transformation Guide.

Listen to the ““ChatGPT - The Era of Generative Conversational AI Has Begun” audiobook on Audible. (https://tinyurl.com/bdfrtyj2) or 

Read the ebook today on Amazon Kindle (https://tinyurl.com/jfntsyj2) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)