Certification covering foundational machine learning and neural network concepts that supported the design and empirical evaluation of the LSTM model in my undergraduate thesis prior to web interface integration.
Huawei ICT Academy
2026
HUAWEI-AI-FUNDAMENTALS
Certification covering foundational machine learning and neural network concepts that supported the design and empirical evaluation of the LSTM model in my undergraduate thesis prior to web interface integration.
Formally awarded with unique credential identification HUAWEI-AI-FUNDAMENTALS. This credential validates demonstrated proficiency in the curriculum assessed by the issuing organization.
Authenticate this credential directly through the issuer's verification gateway

Further certifications and validated technical competencies.

Covers principles of applied deep learning systems, directly supporting the workflow of converting trained research models into ONNX format for client-side execution via ONNX Runtime.

Strengthens technical comprehension of client-server data transport, DNS resolution, network latency characteristics, and connectivity diagnostics when integrating frontend applications with REST APIs and production servers.
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Validates foundational algorithmic problem-solving and data structure proficiency applied in client-side data transformation, multi-criteria filtering, and API payload normalization.