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Manage, govern, and scale AI initiatives aligned with measurable business outcomes
This Certified Artificial intelligence Manager session runs classroom and virtual-live in Lausanne / Morges - Switzerland on 10 August 2026 – 13 August 2026. Delivered in EN.
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View course →4 days
Exam Included · Certification Available
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ISO 22301 Lead Implementer · ISO 27001 Lead Implementer · CISSP® Exam Bootcamp · CISM® Exam Bootcamp · ISO 27701 Lead Auditor
Expert in Information and Cyber Security, Cloud Security, Risk Management and Governance Consulting for large multinational corporations, government entities and international organizations Management Systems Certified Lead Auditor
ISO 27001 Senior Lead Implementer · Certified Artificial Intelligence Professional · PECB Trainer Certificate
Phani Sripada is a Geneva-based cybersecurity and sustainability expert with over 15 years of international experience. He served as the Chief Information Security Officer (CISO) at Gavi, where he successfully led the organization to achieve ISO 27001 certification. Previously, he was the Information Security Officer at JP Morgan Suisse SA, overseeing compliance and risk management for critical systems. Phani is a PECB-certified ISO 27001 Lead Implementer and accredited trainer, and holds a certification in Digital Transformation and Sustainability from IMD Lausanne. His career spans leadership roles across finance, healthcare, and international organizations, with a focus on information security, ESG compliance, and digital innovation.
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This course runs multiple times per year, onsite and online.
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Train with practitioners. Pass with confidence.
Abilene Academy is the only PECB Titanium Partner in Switzerland — the highest accreditation tier in the industry — delivering certified training in information security, data protection, AI governance, and GRC compliance. 99% exam pass rate. 2,500+ professionals trained across 120+ countries and trusted by 600+ organizations. Multilingual programmes available.
AI management becomes a leadership requirement in 2025 and 2026. Organizations must prove that AI initiatives deliver measurable outcomes while respecting governance, transparency, and risk constraints. Regulators, boards, and compliance teams now expect evidence on how models operate, how decisions are made, and how risks are controlled. AI projects cannot remain experimental. They must integrate into business operations with clear ownership, measurable performance, and documented controls.
During the training, participants work across the full AI lifecycle. They identify and prioritize use cases, assess data readiness, define KPIs, and structure governance frameworks. They build interactive dashboards using Power BI to interpret results and support decisions. They also design automated workflows by orchestrating AI agents in visual environments such as n8n. The focus stays on logic, governance, and business outcomes rather than coding.
The course addresses operational gaps most programs ignore. Participants deal with unclear ownership, weak documentation, inconsistent metrics, and poor communication between technical and business teams. They learn how to formalize AI policies, document decisions, manage bias and fairness risks, and produce evidence that holds in audits and internal reviews. They also practice presenting results to non-technical stakeholders and defending AI investment choices.
By the end of the course, participants can manage AI initiatives end to end. They produce governance frameworks, dashboards, and automated workflows that support decision-making and compliance. They can align AI with strategic objectives, evaluate risks, and prepare for the 3-hour PECB Certified Artificial Intelligence Manager exam. The outcome is the ability to run AI programs that deliver measurable value and withstand scrutiny.