AI Academy

Monday, August 11, 2025

Retrieval Augmented Generation - RAG (training)

Colleagues, in the “Retrieval Augmented Generation” program from DeepLearning.AI you will learn to design and build RAG systems tailored to real-world needs, weigh tradeoffs between cost, speed, and quality to choose the right techniques for each component of a RAG system, and a foundational framework to adapt RAG systems as new tools and methods emerge. Gain high-demand skills in Secure Coding, Security Controls, Large Language Modeling, Information Management, Natural Language Processing, Sampling (Statistics), System Monitoring, Artificial Intelligence, Data Security, MLOps (Machine Learning Operations), Metadata Management, Application Performance Management, Prompt Engineering, Continuous Monitoring, Algorithms, and Generative AI. Learn how to build RAG systems that connect LLMs to external data sources. You’ll explore core components like retrievers, vector databases, and language models, and apply key techniques at both the component and system level. Through hands-on work with real production tools, you’ll gain the skills to design, refine, and evaluate reliable RAG pipelines - and adapt to new methods as the field advances. Skill-based training modules include: 1) RAG Overview, 2) Information Retrieval with Vector Databases, 3) LLMs and Text Generation, and 4) RAG Systems in Production. Through hands-on labs, you will: Build your first RAG system by writing retrieval and prompt augmentation functions and passing structured input into an LLM, Implement and compare retrieval methods like semantic search, BM25, and Reciprocal Rank Fusion to see how each impacts LLM responses, Scale your RAG system using Weaviate and a real news dataset—chunking, indexing, and retrieving documents with a vector database, Develop a domain-specific chatbot for a fictional clothing store that answers FAQs and provides product suggestions based on a custom dataset, Improve chatbot reliability by handling real-world challenges like dynamic pricing and logging user interactions for monitoring and debugging, and Develop a domain-specific chatbot using open-source LLMs hosted by Together AI for a fictional clothing store that answers FAQs and provides product suggestions based on a custom dataset.

Enroll today (teams & execs welcome): imp.i384100.net/550N6j

For your listening-reading pleasure consider:

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

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

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

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

Monday, August 4, 2025

Deep Learning with TensorFlow (training)

Colleagues, Deep Learning professionals earn on average $137,989+ per year according to ZipRecruiter. The Deep Learning with TensorFlow training program will equip you to build Deep Learning models in TensorFlow and Keras, interpret the results of Deep Learning models, troubleshoot and improve Deep Learning models, understand the language and fundamentals of artificial neural networks, and build your own Deep Learning projects. Skill-based training modules address: 1) Introduction to Deep Learning - artificial neural networks, and the breadth of transformative applications it produces. Jon also goes over how to run the code examples provided throughout the LiveLessons, and then he builds an introductory neural network with you, 2) How Deep Learning Works - main families of deep neural networks and their applications. The heart of the lesson is a high-level overview of the essential theory that underlies deep learning. To bring this theory to life, Jon shows you deep learning in action via a web application called the TensorFlow Playground, archetypal deep learning datasets, and then you build a deep neural network together to tackle a classic machine vision problem, 3) Convolutional Networks - convolutional layers and how they have can be stacked to solve increasingly complex problems with larger data sets. In order to make sense of the outputs from these sophisticated models, the TensorBoard result-visualization tool is added to your arsenal at the end of the lesson, 4) Introduction to TensFlow - high-level deep learning API Keras to build your models. In this lesson, the leading Deep Learning libraries are compared, and then you get down to business with TensorFlow, the open-source library doing the heavy neural network-lifting underneath Keras and, in Jon’s opinion, clearly the best choice from the options available. Given this, the second half of the lesson is dedicated to building your own deep learning models in TensorFlow, and 5) Improving Deep Networks - performance of your deep learning models, including by tuning model hyperparameters. The lesson concludes by discussing how to build your own deep learning project as well as outlining resources for further self-study.

Enroll today (teams & execs welcome): https://tinyurl.com/y6vek5nz

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy (subscribe & share)

Monday, July 28, 2025

Discover the “Interview Prodigy” Audible & Kindle Book Series

The Interview Prodigy (https://tinyurl.com/3ad6vs69)

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

2 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

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

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

Discover the ”Transformative Innovation” Amazon audio & ebook series

Transformative Innovation:

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

Monday, July 14, 2025

AI Software Engineer: ChatGPT, Bard and Beyond (Amazon - Audible & Kindle)

Colleagues, the purpose of the “AI Software Engineer: ChatGPT, Bard and Beyond” (Interview Prodigy series) help software engineers and developers capture their ideal job offer and manage their medium-to-long-term career growth in the global artificial intelligence arena. We will focus on artificial intelligence software engineers and developers in this series. Artificial intelligence has proven to be a revolutionary part of the digital era. As a result, top tech giants like Amazon, Google, Apple, Facebook, Microsoft, and International Business Machines Corporation have been investing significantly in the research and development of artificial intelligence. As a result, these companies are contributing well to making A.I. more accessible for businesses. In addition, different companies have adopted A.I. technology for improved customer experience. For example, in March 2020, McDonald's invested $300 million to acquire an A.I. startup in Tel Aviv to provide a personalized experience for its customers using artificial intelligence. This was its most significant tech investment.

AI Engineers have many opportunities, which will only grow with time. After reading this book, I hope you can identify your ideal job offer and manage your short- and long-term career growth plan, especially in artificial intelligence. The world of artificial intelligence is vast. As I stated earlier in this book, it has a current market size of $136.55 billion based on a 2022 report by CAGR, and it will likely reach a growth rate of 37.3% from 2023 to 2030. You can study artificial intelligence from three aspects. First, the narrow artificial intelligence: this is where you learn about strong AI, artificial general intelligence, and narrow artificial intelligence, also known as weak AI. As I mentioned earlier in this book, the tech we use daily is known as narrow artificial intelligence mainly because it focuses on one narrow task. An example is a chess computer, Siri, or Alexa. Artificial narrow intelligence generally operates within a limited predetermined range. Then there is machine learning, an application that allows systems and computers to learn and improve without being programmed. This idea aims to enable systems to learn and adapt automatically without human involvement or support. Deep learning enables inventors to enhance technology such as self-driving vehicles, speech recognition, and facial identification.

Order today:

(Audible) https://tinyurl.com/mae9ku3b

(Kindle) https://tinyurl.com/27jux34w

“Interview Prodigy” audio & ebook series on Amazon for your reading-listening pleasure (https://tinyurl.com/57ehhjb2).

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

2 - JavaScript Full Stack Developer: Capture the Job Offer and Advance Your Career (Audible) (Kindle)

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

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

Sunday, July 13, 2025

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

Friends, the new “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle) book is the latest entry to the “Transformative Innovation” series. AI in all of its manifestations represents a bona fide “generational change” of human society as we know it. AI, like many of the historic innovations of the past, has the unsurpassed potential to impact the human race for both good and evil. All humanity has a vested interest in ensuring the impact of AI is positive. The alternative is unfathomable: A dystopian environment leading to the destruction of mankind in a Noahic antediluvian episode of human culture by the hands of man himself or the divine, omnipotent hand of our sovereign Creator.

This book has a “5 Star” rating on Amazon. Reader comment “If you're curious about how AI works, how it's changing the world, and what might happen next, this book is great. It's a bit like a guide that helps you understand this complex topic. It's a journey that could open your mind to new ideas and change how you see the world.”

Table of Contents:

I - Introduction

II - The Birth of Artificial Intelligence (AI)

III - AI Research and Development

IV - The AI Quantum Multiplier

V - Technological Synergy

VI - The Ethics of Artificial Intelligence

VII - The Global Race for AI Supremacy

VIII - Understanding Artificial General Intelligence (AGI)

IX - Approaches to AGI Development

X - The Era of Artificial Superintelligence (ASI)

XI - Ensuring Safety in AGI and ASI

XII - AGI and ASI Impact on Society and the Economy

XIII - AI Singularity (“Technological Singularity”)

XIV - Looking Beyond the Singularity

XV - Conclusions

Our journey will examine the birth of AI, the pending transition to Artificial General Intelligence, the era of Artificial Super Intelligence and thoughts on the possibility of AI (or “Technological”) Singularity. Although some of these topics have verifiable, concrete answers, overall, the pendulum rapidly swings from the domain of the known to the domain of the unknown and speculative in the concluding chapters. Our commitment is to amplify the known (factual) elements of Artificial Intelligence and only when necessary delve into the realm of the unknown (subjective) aspects of AI Singularity … and beyond.

Join us for a journey that will transform your thinking and possibly your life!