AI for Everyone (training)

Colleagues, the AI for Everyone course is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. Learn the meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science, What AI realistically can--and cannot--do, How to spot opportunities to apply AI to problems in your own organization, What it feels like to build machine learning and data science projects, How to work with an AI team and build an AI strategy in your company and How to navigate ethical and societal discussions surrounding AI. Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI. Skill-based lessons include: 1) What is AI? Machine Learning?, What is data?, The terminology of AI, What makes an AI company?, What machine learning can and cannot dos, More examples of what machine learning can and cannot dos, Non-technical explanation of deep learning, 2) Building AI Projects - Workflow of a machine learning project, Workflow of a data science project, Every job function needs to learn how to use data, How to choose an AI project, How to choose an AI project, Working with an AI team, Technical tools for AI teams, 3) Building AI In Your Company - Case study: Smart speaker, Case study: Self-driving car, Example roles of an AI team, AI Transformation Playbook, AI Transformation Playbook, AI pitfalls to avoid, Taking your first step in AI, Survey of major AI application areas, Survey of major AI techniques, and 4) AI and Society - A realistic view of AI, Discrimination/Bias, Adversarial attacks on AI, Adverse uses of AI, AI and developing economies, and AI and jobs.  

Enroll today (teams & execs welcome): https://imp.i384100.net/4P4qr9 

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

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

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

Generative AI: Prompt Engineering Basics (training)

Colleagues, in the “Generative AI: Prompt Engineering Basics” program from IBM you will learn to explain the concept and relevance of prompt engineering in generative AI models, apply best practices for creating prompts and explore examples of impactful prompts, practice common prompt engineering techniques and approaches for writing effective prompts, and explore commonly used tools for prompt engineering to aid with prompt engineering. Acquire highly marketable skills with Artificial Intelligence (AI), Prompt Engineering, ChatGPT, Prompt Patterns, and Generative AI. Learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses. You will be introduced to commonly used prompt engineering tools like IBM Watsonx Prompt Lab, Spellbook, and Dust. The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.You will also learn the best practices for writing effective prompts and assess common prompt engineering tools.

Enroll today (teams & execs welcome): https://imp.i384100.net/xLn1zA 

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

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

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

Machine Learning - Discover the Top 3 Career & Earnings Growth Strategies for 2025

Dev Colleagues, on average a Machine Learning Engineer earns $167k USD in the US according to Glassdoor. The first strategy is to Get Certified: A high quality credential from a reputable vendor or professional association can boost your income by 10%+. Topping our list is the popular Supervised Machine Learning: Regression and Classification program with some 814k students enrolled. Next is the Structuring Machine Learning Projects (481k enrollees). Third is the Convolutional Neural Networks program from DeepLearning.AI (526k enrolled). Second, Get Published: Write a series of posts or articles on Best Practices, Industry Trends and Emerging Technologies, and publish on DevPlan’s GCP portal, Medium, LinkedIn Articles, Reddit or Technology.org. Then reate a “project portfolio” on GitHub or LinkedIn that showcases your hands-on expertise. A high quality portfolio proves your expertise to future employers and gives you a competitive advantage over other job candidates. Then reate a “project portfolio” on GitHub or LinkedIn that showcases your hands-on prowess. A high quality portfolio proves your expertise to future employers and gives you a competitive advantage over other job candidates. And third, Get Connected: Professional networking and referrals are the most effective method for landing your dream job - within your current employer or at a new company (rather than simply applying for jobs online and standing in the Human Resources queue with the masses). Join and participate in 2-3 high profile groups or professional associations. Hugging Face is an excellent starting place. Consider the Machine Learning Society on LinkedIn. And explore Reddit’s Machine Learning sub-Reddit (2.9m members)

Get started today by enrolling in one or more training-certification programs:

• Supervised Machine Learning: Regression and Classification (https://imp.i384100.net/555bxN) 

• Structuring Machine Learning Projects (https://imp.i384100.net/RGPGQa) 

• Convolutional Neural Networks (https://imp.i384100.net/YRRxkK) 

Success awaits you! Lawrence E. Wilson - AI Academy (share & subscribe)

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

Colleagues, would you like to discover the top 10 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) 

Makes a great Christmas gift: “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] 

Google AI Essentials (training)

Colleagues, the Google AI Essentials program is designed to help people across roles and industries get essential AI skills to boost their productivity, zero experience required. The course is taught by AI experts at Google who are working to make the technology helpful for everyone. In under 10 hours, they’ll do more than teach you about AI — they’ll show you how to actually use it in the real world. Stuck at the beginning of a project? You’ll learn how to use AI tools to generate ideas and content. Planning an event? You’ll use AI tools to help research, organize, and make more informed decisions. Drowning in a flooded inbox? You’ll use AI tools to help speed up those daily work tasks, like drafting email responses. You’ll also learn how to write effective prompts and use AI responsibly by identifying AI’s potential biases and avoiding harm. After you complete the course, you’ll earn a certificate from Google to share with your network and potential employers. By using AI as a helpful collaboration tool, you can set yourself up for success in today’s dynamic workplace — and you don’t even need programming skills to use it. Skill-based modules include: 1) Introduction to AI, 2) Maximize Productivity With AI Tools, 3) Discover the Art of Prompt Engineering, 4) Use AI Responsibly, and 5) Stay Ahead of the AI Curve. Learn generative AI tools to help develop ideas and content, make more informed decisions, and speed up daily work tasks. Write clear and specific prompts to get the output you want - you’ll apply prompting techniques to help summarize, create tag lines, and more. Use AI responsibly by identifying AI’s potential biases and avoiding harm. Develop strategies to stay up-to-date in the emerging landscape of AI. Gain high demand and highly marketable skills in Artificial Intelligence (AI), Prompt Engineering, Large Language Models (LLMs) and Generative AI.

Enroll today (teams & executives are welcome): https://tinyurl.com/49f59efr 

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

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

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

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