I4ML
What's Inside
Part I - Understanding the Funamentals
What AI really is, how machines learn, and the AI model lifecycle, without the jargon.
Part II - Inside Generative AI
How LLMs work, why they hallucinate, and the full customization spectrum from prompting to fine-tuning
Part III - Working with AI
The RCFC prompt engineering framework, AI-powered workflow design, human-in-the-loop oversight, and agentic AI
Part IV - Implementation & Impact
Benefits and risks of adoption, enterprise vs. consumer platforms, tool evaluation, and human-AI collaboration.
Part V - Strategy & Governance
AI ethics, the OWASP security framework, responsible governance, team building, and the 90-Day AI adoption Roadmap.
This book is the companion text to the I4ML Professional Certification Program: AI-Powered Business. Every framework in the book is a tool participants apply to their own organizations during the four-week program. Whether you read the book independently or enroll in the certification, the templates and methodology are design for immediate use.
Registered buyers can access all 8 fillable templates, the prompt engineering starter library, and framework walk-through videos at the companion resources site.
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Assistant Professor at St. John's University
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Director of the "AI Institute @ SJU"
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NVIDIA Certified Instructor
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AWS Accredited Instructor
About the Author
Dr. Giancarlo Crocetti is an Assistant Professor and the founding Director of the AI Institute at St. John's University, where he teaches Deep Learning, Generative AI, Web Data Mining, and Distributed Big Data Analytics.
Before transitioning to academia, Dr. Crocetti spent nearly two decades in the pharmaceutical industry at Boehringer Ingelheim, where he rose to Senior Associate Director of Medical Affairs Analytics and Insight. That experience — leading analytics teams, navigating regulated environments, and translating complex data into executive decisions — shapes every chapter of this book. The frameworks here are not theoretical constructs; they reflect the realities of implementing technology in organizations where the stakes are high, the timelines are short, and the margin for error is narrow.
Dr. Crocetti holds a Doctor of Professional Studies in Computer Science from Pace University, an Executive MBA from the Pace University Lubin School of Business, an M.S. in Statistics and Data Mining from Central Connecticut State University, and an M.S. in Computer Science from Università "La Sapienza" di Roma. He is an NVIDIA Certified Instructor in Deep Learning, an AWS Accredited Instructor, and a Certified Spark NLP Data Scientist specializing in Healthcare.
His research interests span AI-driven education, biometric systems, healthcare analytics, and human-computer interaction. He has been recognized with the Outstanding Adjunct Teaching Faculty Award from St. John's University and multiple Outstanding Student of the Year awards from Pace University.
Dr. Crocetti conducts quarterly AI workshops for business professionals in partnership with economic development organizations, bringing the same applied, practitioner-first approach reflected in this book to managers, directors, and executives navigating the generative AI landscape.