Responsible AI & regulatory compliance

Assess security, privacy and responsible-AI risks using the OWASP LLM and Agentic Top 10, NIST AI 600-1 and EU AI Act risk tiers, and implement proportionate mitigations.

Specify AI-system requirements — measurable acceptance thresholds, data, oversight, fallback and governance obligations — with traceability from obligation to test and evidence.

Design an AI governance model and policy using NIST AI RMF and ISO/IEC 42001, informed by EU, US and Bangladeshi regulation and international ethics principles.

Analyse bias, privacy, safety and legal issues in AI systems and apply responsible, honest AI-use practices.

Demonstrate Production, Operations & Mastery competence: complete the Day 76–90 builds, explain the underlying theory, and defend the phase artefact under live questioning.

Demonstrate Production, Security & Governance competence: complete the Day 61–75 builds, explain the underlying theory, and defend the phase artefact under live questioning.

Demonstrate Production, Security, Governance & Mastery competence: complete the Day 76–90 builds, explain the underlying theory, and defend the phase artefact under live questioning.

Demonstrate Production Platform, Security & Governance competence: complete the Day 61–75 builds, explain the underlying theory, and defend the phase artefact under live questioning.

Demonstrate Production, Security & Governance competence: complete the Day 61–75 builds, explain the underlying theory, and defend the phase artefact under live questioning.

Demonstrate Production LLMOps, Security & Mastery competence: complete the Day 76–90 builds, explain the underlying theory, and defend the phase artefact under live questioning.