“Transformative Innovation” Audio and eBook series

Transformative Innovation series:

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

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

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

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

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)

Generative AI: Prompt Engineering Basics (training)

Colleagues, the “Generative AI: Prompt Engineering Basics” program will equip you 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. You will gain high-demand skills in Artificial Intelligence, Computer Science, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, OpenAI, and Generative AI. 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. Explore commonly used tools for prompt engineering to aid with prompt engineering. 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. Skill-based training modules include: 1) Prompt Engineering for Generative AI, 2) Prompt Engineering: Techniques and Approaches, and 3) Course Quiz, Project, and Wrap-up. 

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)

Deep Learning: Convolutional Neural Networks in Python

Colleagues, in the “Deep Learning: Convolutional Neural Networks in Python” program you will learn Tensorflow, CNNs for Computer Vision, Natural Language Processing (NLP), Data Science and Machine Learning. [79 lectures - 13+ hours of training]. Understand convolution and why it's useful for Deep Learning and explain the architecture of a convolutional neural network (CNN). Implement a CNN in TensorFlow 2. Apply CNNs to challenging Image Recognition tasks and CNNs to Natural Language Processing (NLP) for Text Classification (e.g. Spam Detection, Sentiment Analysis). Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion. Skill-based training lessons include: 1) Google Colab, 2) Machine Learning and Neurons, 3) Feedforward Artificial Neural Networks, 4) Convolutional Neural Networks, 5) Natural Language Processing (NLP), 6) Convolution In-Depth, 7) Convolutional Neural Network Description, 8) Practical Tips, 9) Loss Functions, 10) Gradient Descent, 11) Setting Up Your Environment (FAQ by Student Request), 12) Extra Help With Python Coding for Beginners, and 13) Effective Learning Strategies for Machine Learning.

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

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)

Generative AI: Enhance your Data Analytics Career (training)

Colleagues, in the “Generative AI: Enhance your Data Analytics Career” program you will learn to describe how you can use Generative AI tools and techniques in the context of data analytics across industries, implement various data analytic processes such as data preparation, analysis, visualization and storytelling using Generative AI tools, evaluate real-world case studies showcasing the successful application of Generative AI in deriving meaningful insights, and analyze the ethical considerations and challenges associated with using Generative AI in data analytics. Gain high-demand skills in Data Analysis, Querying Databases, Data Generation, Generative AI, and Data Augmenting. This course unravels the potential of generative AI in data analytics and provides in-depth knowledge of the fundamental concepts, models, tools, and generative AI applications regarding the data analytics landscape. You will examine real-world applications and use generative AI to gain data insights using techniques such as prompts, visualization, storytelling, querying and so on. In addition, you will understand the ethical implications, considerations, and challenges of using generative AI in data analytics across different industries. You will acquire practical experience through hands-on labs where you will leverage generative AI models and tools such as ChatGPT, ChatCSV, Mostly.AI, and SQL through AI. Finally, you will apply the concepts learned throughout the course to a data analytics project. Also, you will have an opportunity to test your knowledge with practice and graded quizzes and earn a certificate. Skill-based training modules include: 1) Data Analytics and Generative AI, 2) Use of Generative AI for Data Analytics, and 3) Final Project and Exam. 

Enroll today (teams & execs welcome): http://imp.i384100.net/QjJM66 

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)

Sequence Models (training)

Colleagues, the “Sequence Models” program is part of the Deep Learning Specialization from DeepLearning.AI. You will be equipped with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. Gain expertise in Gated Recurrent Units (GRU), Recurrent Neural Networks, Natural Language Processing, Long Short Term Memory (LSTM), and Attention Models. Skill-based lessons include: 1) Recurrent Neural Networks, 2) Natural Language Processing & Word Embeddings, 3) Sequence Models and Attention Mechanism, and 4) Transformer Networks.

Enroll today (teams & execs welcome): https://imp.i384100.net/Wyy3eM

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 with Python - IBM (training)

Colleagues, the “Machine Learning with Python” training from IBM will equip you to utilizeScikit-learn to build, test, and evaluate models, apply data preparation techniques and manage bias-variance trade-offs to optimize model performance, implement core machine learning algorithms, including linear regression, decision trees, and SVM, for classification and regression tasks, and evaluate model performance using metrics, cross-validation, and hyperparameter tuning to ensure accuracy and reliability. Gain highly marketable skills involving Machine Learning, Clustering, regression, classification, SciPy and scikit-learn. You’ll explore supervised learning techniques with libraries such as TensorFlow and Pandas, as well as classification methods like decision trees, KNN, and SVM, covering key concepts like the bias-variance tradeoff. The course also covers unsupervised learning, including clustering and dimensionality reduction. With guidance on model evaluation, tuning techniques, and practical projects in Jupyter Notebooks, you’ll gain the Python skills that power your ML journey. Skill-based training modules include: 1) Introduction to Machine Learning, 2) Linear and Logistic Regression, 3) Building Supervised Learning Models, 4) Building Unsupervised Learning Models, 5) Evaluating and Validating Machine Learning Models, and 6) Final Project and Exam. 

Enroll today (teams & execs welcome): https://imp.i384100.net/VxZMZ6 

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

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