The rise of Artificial Intelligence is profoundly transforming global and African economies, from process automation to data-driven decision-making. In Africa, digital sovereignty, emerging regulatory compliance, and the rise of AI applications in banking, healthcare, agritech, telecommunications, and government strengthen the urgency to professionalize AI Governance, Ethics, and Security. Adversarial attacks, LLM compromise through prompt injection, data leaks, and training data poisoning directly threaten the reliability of systems. This certificate addresses these challenges by equipping professionals with frameworks, methods, and operational tools to design, assess, harden, and audit robust, safe, and responsible AI systems while supporting the competitiveness of African and international organizations.<\/p>\n
UNIVGA Method<\/strong> \u2013 100% online, asynchronous, accessible 24\/7, with 5 to 8 hours per week over 3 months. You will work on practical projects inspired by real African cases \u2013 mobile money anti-fraud, clinical triage, ANPN species detection, logistics optimization \u2013 using Jupyter notebooks, reproducible pipelines, and concrete datasets. The approach is strictly aligned with OWASP LLM Top 10 and the NIST AI Risk Management Framework, in accordance with the EU AI Act and ISO\/IEC 42001 standard. You will learn to tool red teaming and blue teaming of LLMs, secure data, models, and MLOps pipelines, and document evidence and controls for technical and compliance audits. The deliverables are immediately reusable in companies, startups, ministries, or research laboratories, from risk framing to secure production deployment.<\/p>\n Professional impact<\/strong> \u2013 You will be able to occupy high-value roles: Data Scientist, ML Engineer, AI Engineer, MLOps Engineer, Prompt Engineer, AI Architect, Chief AI Officer, AI Ethics Officer, AI Security Specialist. The UNIVGA Professional Certificate enhances your credibility with banks, insurance companies, telecommunications, fintechs, agritechs, healthtechs, GovTech, consulting firms, as well as major administrations of CEMAC and CEEAC. You will know how to manage AI risk reduction, orchestrate LLM penetration tests, harden your models against adversarial ML, prove compliance, and support responsible innovation. A concrete springboard to accelerate your trajectory towards expertise and leadership positions in AI Security.<\/p>","protected":false},"excerpt":{"rendered":" Become a specialist in AI and LLM systems security, ready to defend models and data in production. Certification training aligned with OWASP LLM Top 10 and NIST AI Risk Management Framework, to accelerate your employability in AI, cybersecurity, and MLOps.<\/p>","protected":false},"author":1,"featured_media":0,"template":"","course-category":[1943],"course-tag":[],"class_list":["post-103255","courses","type-courses","status-publish","hentry","course-category-departement-intelligence-artificielle-data"],"yoast_head":"\n