{"id":103149,"date":"2026-05-02T11:32:40","date_gmt":"2026-05-02T10:32:40","guid":{"rendered":"https:\/\/univga.org\/courses\/certificat-professionnel-en-edge-ai-tinyml-iot-industriel\/"},"modified":"2026-05-02T11:32:40","modified_gmt":"2026-05-02T10:32:40","slug":"professional-certificate-in-edge-ai-tinyml-industrial-iot","status":"publish","type":"courses","link":"https:\/\/univga.org\/en\/courses\/certificat-professionnel-en-edge-ai-tinyml-iot-industriel\/","title":{"rendered":"Professional Certificate in Edge AI, TinyML &amp; Industrial IoT"},"content":{"rendered":"<p>The rise of the<strong>Generative AI<\/strong>the industrialization of models and the growth of connected objects require organizations to operate intelligent systems <strong>close to the data<\/strong>. In Africa, where connectivity, energy, and latency are major constraints,<strong>Edge AI<\/strong> and the <strong>TinyML<\/strong> are becoming crucial for the autonomy, privacy, and resilience of digital services (agriculture, rural health, security, environment). This Professional Certificate positions the field <strong>MLOps &amp; AI in Production<\/strong> at the heart of competitiveness and digital sovereignty: orchestrating robust, compliant, and secure models, from the microcontroller to the edge gateway, while respecting emerging frameworks (EU AI Act) and real-time business requirements. You will learn to transform a proof of concept into a deployed, maintainable, and measurable solution in the field, where every watt and every millisecond count.<\/p>\n<p>The UNIVGA method combines flexibility and rigor: training <strong>100% online, asynchronous<\/strong>, 5\u20138 h\/week, practical projects on real African cases, Jupyter notebooks, concrete datasets, and assessments through deliverables. The pathways are <strong>strictly aligned<\/strong> with the standards <strong>NVIDIA Jetson<\/strong> \/ <strong>TensorFlow Lite<\/strong> \/ <strong>TinyML Foundation<\/strong>, and integrate governance and security frameworks (EU AI Act, <strong>ISO\/IEC 42001<\/strong>, <strong>OWASP LLM Top 10<\/strong>, <strong>NIST AI RMF<\/strong>). You will manipulate TensorFlow Lite, ONNX Runtime, OpenVINO, PyTorch, OpenCV; deploy on Raspberry Pi and Jetson Nano; embed models on Arduino\/ESP32; connect sensors, buses, and IoT protocols; monitor performance, consumption, and drifts. The skills acquired are immediately applicable in companies, startups, ministries, or laboratories, from prototype to operational scale.<\/p>\n<p>This certificate accelerates your trajectory towards high-value roles: <strong>Data Scientist<\/strong>, <strong>ML Engineer<\/strong>, <strong>AI Engineer<\/strong>, <strong>MLOps Engineer<\/strong>, <strong>Prompt Engineer<\/strong>, <strong>AI Architect<\/strong>, <strong>Chief AI Officer<\/strong>, <strong>AI Ethics Officer<\/strong> or <strong>AI Security Specialist<\/strong>. By demonstrating your ability to design, optimize, and deploy efficient, resource-saving, and compliant embedded AI systems, you enhance your employability in the <strong>banks<\/strong>, <strong>insurance<\/strong>, <strong>telecoms<\/strong>, <strong>fintechs<\/strong>, <strong>agritechs<\/strong>, <strong>healthtechs<\/strong>, <strong>GovTech<\/strong>, consulting firms, and major administrations of the <strong>CEMAC\/CEEAC.<\/strong>. The <strong>Professional Certificate UNIVGA<\/strong> certifies skills that can be directly mobilized on priority projects: visual inspection, object detection, asset monitoring, light telemedicine, biodiversity conservation, with an MLOps chain adapted to the African context and the imperatives of sovereignty and security.<\/p>","protected":false},"excerpt":{"rendered":"<p>Become operational in Edge AI with TinyML, Raspberry Pi, and NVIDIA Jetson. UNIVGA certification training aligned with NVIDIA Jetson \/ TensorFlow Lite \/ TinyML Foundation standards. Deploy optimized models on IoT for industry, agriculture, and health.<\/p>","protected":false},"author":1,"featured_media":0,"template":"","course-category":[1943],"course-tag":[],"class_list":["post-103149","courses","type-courses","status-publish","hentry","course-category-departement-intelligence-artificielle-data"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.9 (Yoast SEO v27.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Certificat Professionnel en Edge AI, TinyML &amp; IoT Industriel - UNIVGA<\/title>\n<meta name=\"description\" content=\"Devenez op\u00e9rationnel en Edge AI avec TinyML, Raspberry Pi et NVIDIA Jetson. 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