AI Academy

Monday, December 8, 2025

The AI Nexus - “Cybersecurity” (December 2025)

Colleagues, the AI and Cybersecurity sectors are projected to experience double-digit growth rates over the next 5+ years. Tech professionals who want to achieve even higher career growth will focus on the nexus of these technologies. Indeed, there are significant technical challenges and opportunities at the intersection of AI and cybersecurity.

Challenges:

Adversarial AI Attacks: AI models themselves can be a target. Adversaries can manipulate data to confuse a model, poison a training dataset, or trick a model into making a bad prediction. This is an ongoing cat-and-mouse game, as security teams must continuously develop new ways to defend against attacks that target the very systems they rely on.
Data Quality and Quantity: Effective AI models require vast amounts of high-quality, labeled data. For cybersecurity, this means collecting and labeling data on network traffic, malware, and other threats. This process is time-consuming, expensive, and often involves handling sensitive information.
Complexity and Explainability: AI models, especially deep learning models, can be "black boxes." It can be difficult for a human analyst to understand how an AI model arrived at a particular conclusion, such as why it flagged a specific file as malicious. This lack of transparency can hinder investigations and make it hard to trust the model's output.

Opportunities:

Proactive Threat Hunting: AI can automate the process of sifting through massive datasets to find subtle, emerging threats that would be impossible for humans to spot. AI-powered threat hunting platforms can analyze behavior patterns and identify anomalies, allowing security teams to find and neutralize threats before they can cause significant damage.
Automated Incident Response: When a security incident occurs, AI can automate initial response actions, such as isolating an infected device or blocking malicious IP addresses. This rapid, automated response can significantly reduce the time it takes to contain a threat, minimizing its impact.
Real-time Anomaly Detection: Instead of relying on static, signature-based detection, AI can learn what "normal" behavior looks like for a user, a network, or a system. It can then flag any deviation from this baseline in real time, enabling the detection of zero-day attacks and other novel threats that would bypass traditional security tools.

Conclusion: It is time to upskill and cross-skill your credentials to ensure your path to long-term success.

Market Assessments:

AI - Statista: “The market size in the Artificial Intelligence market is projected to reach US $244.22bn in 2025. The market size is expected to show an annual growth rate (CAGR 2025-2031) of 26.60%, resulting in a market volume of US $1.01tn by 2031.”

Cybersecurity - Fortune Business Insights: “The global cybersecurity market size was valued at USD 193.73 billion in 2024. The market is projected to grow from USD 218.98 billion in 2025 to USD 562.77 billion by 2032, exhibiting a CAGR of 14.40% during the forecast period.”

Salaries: (will vary by experience level & location)

AI - BuiltIn, Glassdoor, Indeed, Levels.fyi, PayScale, ZipRecruiter

Cybersecurity - BuiltIn, Glassdoor, Indeed, Levels.fyi, PayScale, ZipRecruiter

Career Opportunities:

AI - BuiltIn, Dice, Glassdoor, Indeed, LinkedIn, Simply Hired, and Zip Recruiter

Cybersecurity - Cyber Security Jobs, Dice, Indeed, LinkedIn, Monster, Simply Hired, Zip Recruiter

AI Specializations, Master Classes and Certifications:

For a more comprehensive roster of AI certifications see Google Cloud, Meta, Microsoft along with Coursera, Datacamp, Digital Ocean, edX.

Cyber Specializations, Master Classes and Certifications:

Note: For a more comprehensive roster of cyber certifications see EC Council, ISC2, ISACA, Infosec Institute, GIAC, Google, Microsoft, Cisco and IBM.

Enroll today (teams & execs are welcome).

Saturday, December 6, 2025

IBM Generative AI Engineering Professional Certificate

Colleagues, in the “IBM Generative AI Engineering Professional Certificate” you will build highly sought-after gen AI engineering skills and practical experience in just 6 months. No prior experience required. Acquire: Build and deploy generative AI applications, agents and chatbots using Python libraries like Flask, SciPy and ScikitLearn, Keras, and PyTorch. Key gen AI architectures and NLP models, and how to apply techniques like prompt engineering, model training, and fine-tuning. Apply transformers like BERT and LLMs like GPT for NLP tasks, with frameworks like RAG and LangChain. Develop high-demand skills in Data Analysis, Responsible AI, Prompt Engineering, LLM Application, Data Import/Export, Unsupervised Learning, Large Language Modeling, Flask (Web Framework), Prompt Patterns, Data Wrangling, Data Transformation, Exploratory Data Analysis, LangChain, Keras (Neural Network Library), Restful API, ChatGPT, PyTorch (Machine Learning Library), Supervised Learning, Generative AI, and Feature Engineering. Training modules address: 1) Introduction to AI, 2) Generative AI: Applications, and Prompt Engineering Basics, 3) Python for Data Science, AI & Development, 4) Developing AI Applications with Python and Flask, 5) Building Generative AI-Powered Applications with Python, 6) Data Analysis with Python, 7) Machine Learning with Python, 8) Introduction to Deep Learning & Neural Networks with Keras, 9) Generative AI and LLMs: Architecture and Data Preparation, 10) Gen AI Foundational Models for NLP & Language Understanding - Language Modeling with Transformers, AI Engineering and Fine-Tuning Transformers, Advance Fine-Tuning for LLMs, 11)

Fundamentals of AI Agents Using RAG and LangChain, and 12) Project: Generative AI Applications with RAG and LangChain.

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

Wednesday, December 3, 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

Monday, December 1, 2025

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

Friends, the “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!

Order today:

Audible (https://tinyurl.com/3pswj5sx)

Kindle (https://www.amazon.com/dp/B0CG536WDN)

3 Book 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)

Thank you for dropping a brief review on this book’s Audible or Kindle page.

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