Library / Artificial Intelligence

GenAI and AI Security – Frameworks and Best Practices

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About this course

Welcome to GenAI & AI Security – Frameworks and Best Practices for Responsible AI Adoption

Generative AI is transforming how products are built, decisions are made, and businesses operate. This course is designed for practitioners who want to move beyond hype and understand how to adopt GenAI responsibly, securely, and meaningfully.

More from a practitioner’s experience, drawing on research papers, core ideas, and real-world outcomes. It's not to aim a perfect recipe but provide moments of learning and useful directions. Don’t think of this as classroom-style coaching. It’s more about experience sharing and perspective alignment. That’s the blend, an industry practitioner’s perspective. AI can amplify productivity, creativity, and automation but only when grounded in data, domain understanding, guardrails, and governance. This course uses 1–2 minute byte-sized concept videos with additional materials in each chapter, so please enroll only if you are comfortable with this format. I would rather be an imperfect teacher than a perfect LLM AI Avatar, Mistakes make us human :)This Udemy course venture is more of summary of my daily blogs, research papers, ideas at work. This is not a perfect recipe but more of sharing a practitioners perspective across implementation of use cases.

What This Course Is (and Isn’t)Bad AI use casesAI suggesting layoffsAI replacing human judgment in sales or hiring

Emotion detection without context or ethics

Responsible AI use cases

Knowledge assistants for FAQs and decision supportAI-assisted writing and summarization

Automated information processing (OCR, multimodal), with humans in control

Responsible AI isn’t about banning tech

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