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

Colleagues, would you like to discover the top 11 creative problem solving techniques used by teams, individuals and organizations worldwide? The “Creative Problem Solving” (Audible) (Kindle) 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.

Listen today via Amazon Audible (https://tinyurl.com/je75bkmp) or

Read by way of Amazon Kindle (https://tinyurl.com/4svzf6jc) 

See the “Learning Wizard” book series (https://tinyurl.com/5rkcmx4m)  

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

2 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age  (Audible)  (Kindle)

3 - Transformation of the Global Education System - The Disruptive Impact of AI, Mixed Reality and Next Gen Knowledge Workers (Audible) (Kindle) 

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

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

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

Robotics Foundations I - Robot Modeling (FedericaX)

Colleagues, the “FedericaX: Robotics Foundations I - Robot Modeling” training program explores the robotics foundations for modelling of robot manipulators. You will learn scenarios of industrial robotics and advanced robotics, fundamentals of kinematics, differential kinematics and statics, Jacobian and its properties, inverse kinematics algorithms, and equations of motion of robot manipulators. The Kinematics of robot manipulators is derived using a systematic approach based on the Denavit-Hartenberg convention and the use of homogeneous transformations. The inverse kinematics problem is analyzed and closed-form solutions are found for typical manipulation structures. The Jacobian is then introduced as the fundamental tool to describe differential kinematics, determine singular configurations, analyze redundancy, derive the statics model and even formulate inverse kinematics algorithms. The equations of motion of a robotic system are found on the basis of the dynamic model which is useful for motion simulation and control algorithm synthesis. Two approaches respectively based on Lagrange formulation and Newton-Euler formulation are pursued.

Register today (execs & teams are welcome): https://edx.sjv.io/enaAJ1

Much success in your robotics career, Online Learning Central (please subscribe and share with your colleagues)

Excel Skills for Business Specialization

Colleagues, in the “Excel Skills for Business Specialization” you will become comfortable navigating the Excel user interface, entering, manipulating and formatting data, use formulas and functions to perform calculations on data. Automate choices and data lookups using functions, analyze data and present the results in a user-friendly way. Create charts and tables that effectively summarize raw data, create easy-to-use spreadsheets, validate data, find and correct errors, and create navigation aids for large workbooks. Gain highly marketable skills involving Consolidation, Data Integrity, Data Entry, Dashboard, Excel Macros, Spreadsheet Software, Data Cleansing, Data Visualization, Data Modeling, Excel Formulas, Data Validation, and Financial Modeling. Skill-oriented training lessons cover: 1) Excel Skills for Business: Essentials, 2) Excel Skills for Business: Intermediate I, 3) Excel Skills for Business: Intermediate II, and 4) Excel Skills for Business: Advanced. You will develop high-demand skills in Spreadsheet Software, Data Presentation, Analytical Skills, Excel Formulas, Predictive Modeling, Data Modeling, Data Validation, Excel Macros, Financial Forecasting, Data Processing, Business Analytics, Data Analysis Software, Data Wrangling, Interactive Data Visualization, Data Preprocessing, Dashboard Creation, and Data Manipulation.

Register today (execs & teams are welcome): https://imp.i384100.net/3J9ydX 

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

CompTIA Linux+ V8 - Pearson Cert Prep

Colleagues, the “CompTIA Linux+ V8” Pearson Cert Prep training course is expertly designed for professionals who need to master Linux quickly and efficiently. Whether you are new to the platform or looking to validate your skills, this is your one-stop training course. Each module aligns with the latest CompTIA Linux+ exam objectives, guiding you through user security, network management, storage, system troubleshooting, and advanced administration tasks like containers, virtualization, and scripting. With hands-on labs and practical exercises, you will gain the real-world experience needed to tackle exam questions and excel in your IT role. Skill-based training modules include: 1) Essentials, 2) Essential Administration Tasks, 3) Operating Running Systems, 4) Advanced Topics, 5) Essential Linux Management, 6) Storage Management, 6) Common Administration Tasks, 7) Security, 8) Managing Virtualization and Cloud, and 9) Python Essentials. 

Enroll today (teams & execs are welcome): https://tinyurl.com/3de28wnh

Recommended Reading: “The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age” (Audible) (Kindle)

Much success in your Linux career, Online Learning Central (please subscribe & share with your colleagues) 

“Ushering in the Next Frontier of Quantum Innovation”

Colleagues, the White House authorized two Exectutive Orders on June 22, 2026 that place quantum computing alongside of AI, Blockchain and Space as the preeminent technologies at the forefront of technological innovation in the USA for the coming years. Tech professionals who want to achieve even higher career growth will focus on the nexus of these two vital technologies. There are significant technical challenges and opportunities at the intersection of AI and Quantum Computing.

Challenges:

• Quantum Hardware Limitations: The biggest challenge is the immaturity of quantum hardware. Current quantum computers from companies like IBM (e.g., the Osprey processor) and Google (e.g., the Sycamore processor) are still small and prone to errors. They lack the stability and number of qubits needed to run the complex algorithms required for significant AI applications, such as training large neural networks. The problem of decoherence is a major hurdle.

• Algorithm Development: While theoretical algorithms like Grover's algorithm and Shor's algorithm exist, creating practical quantum machine learning (QML) algorithms that provide a tangible speed-up over classical methods is a new and difficult field of research. There is no clear, proven path to run complex AI training tasks on quantum hardware with a guaranteed advantage.

• Data Handling: Getting classical data into a quantum computer is a major challenge. The process, known as quantum data loading, is inefficient and can itself introduce errors. For large AI datasets, this bottleneck is currently too slow to make a quantum approach feasible for real-world applications.

Opportunities:

• Quantum-Enhanced Machine Learning: Quantum computing has the potential to supercharge certain AI tasks. The ability of a quantum computer to exist in a superposition of states could enable it to explore vast datasets or solution spaces simultaneously, potentially leading to breakthroughs in areas like drug discovery and materials science. Companies like Xanadu and Rigetti are developing quantum machine learning libraries to explore these possibilities.

• Breaking Modern Cryptography: One of the most significant opportunities, and a major cybersecurity threat, is the use of quantum algorithms to break current encryption standards. A sufficiently powerful quantum computer, leveraging Shor's algorithm, could break the RSA and ECC encryption that secure most of our digital communication. This has led to a major trend in post-quantum cryptography (PQC) research, with institutions like NIST leading the effort to develop new, quantum-resistant algorithms.

• AI for Quantum Control: AI can be used to solve the problems of quantum computing itself. Machine learning algorithms are being developed to optimize the control of qubits, predict and correct errors, and even design better quantum hardware. This is a form of meta-synergy, where one field is used to solve the core challenges of the other.

Market Assessment: Grand View Research - “The global quantum computing market size was estimated at USD 1.42 billion in 2024 and is projected to reach USD 4.24 billion by 2030, growing at a CAGR of 20.5% from 2025 to 2030.” 

Salaries: (will vary by experience level & location): Salary Expert, Quantum Insider, Quantum Jobs USA, ZipRecruiter

Career Opportunities: IONQ, Quantinuum, Levels.FYI, Quantum Flagship, LinkedIn, QED-C, TechTarget & ZipRecruiter, 

Quantum Computing Specializations, Master Classes and Certifications: 

• Foundations of Quantum Mechanics

• Foundations of Quantum Sensing

• Graduate Certificate in Quantum Computing

• IBM Certified Associate Developer - Quantum Computation using Qiskit v0.2X

• Microsoft - Get started with Azure Quantum

• MIT xPro - Quantum Computing Fundamentals

• Quantum Computer and Quantum Internet Applications

• Quantum Computer Systems Design

• Quantum 101: Quantum Computing & Quantum Internet

• Quantum 301: Quantum Computing with Semiconductor Technology

• Quantum Error Correction with Google Quantum AI

• Quantum Computing for Everyone

• Quantum Mechanics

• Quantum Technology: Computing and Sensing

Note: For a more comprehensive roster of Quantum Computing certifications see Coursera, edX, Linux Foundation, MIT, and TechTarget.

Enroll today (teams & execs are welcome).

Recommended Reading:

 

1 - The Race for Quantum Computing (Audible) (Kindle) 

2 - The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age (Audible) (Kindle)

Much success in your Quantum Computing career, Online Learning Central (please subscribe & share with your colleagues) 

The Race for Quantum Computing: Who will achieve a strategic competitive advantage … China, Japan or the US? (Amazon audio & ebook)

Colleagues, according to the Future Forward: Exploring Tomorrow’s report entitled “China's Quantum Leap: The Internet Revolution of 2024” the PRC has taken a major step forward in the race for quantum supremacy. If this claim is valid the implications for technological transformation are enormous.

For a deeper dive on this matter read “The Race for Quantum Computing” (Audible) (Kindle) that clearly defines the global race for quantum computing among China, Japan and the United States. Moreover, it will identify the impact and consequences of winning this technological race … along with the strategic advantages that await the nation that wins this competition. These advantages include positive innovations in science, technology and finance. In addition, the outcome of this high stakes contest will have an immeasurable impact on military and intelligence gathering along with cybersecurity and encryption. Quantum computing is the next big technological frontier, and the race to build the first working quantum computer is heating up. A quantum computer is a type of computer that uses quantum bits, or qubits, instead of traditional bits, which allows for faster, more complex computations. This ability has the potential to revolutionize industries from finance to pharmaceuticals, and countries around the world are vying for supremacy in this field. In this article, we will explore the importance of winning the race for quantum computing and the implications for the global technological landscape.

The race for quantum computing is not just limited to the private sector, however. Governments around the world are also investing heavily in quantum research and development. In 2018, the US passed the National Quantum Initiative Act  (Daphne Leprince - February 9, 2019), which provides $1.2 billion over five years to support quantum research and development. China is also investing heavily in quantum technology, with the government aiming to build a $10 billion quantum research facility by 2024.

Access the Transformative Innovation book series on Amazon today:

 

1 - The Race for Quantum Computing (Audible) (Kindle) 

2 - ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity (Audible) (Kindle)

3 - ChatGPT - The Era of Generative Conversational AI Has Begun (Audible) (Kindle)

Regards, Genesys Digital (Amazon Author Page) https://tinyurl.com/hh7bf4m9