The Saudi Data and Artificial Intelligence Authority (SDAIA), in collaboration with Nvidia, has launched a professional training program through its Generative AI Academy.
The training program aims to empower national competencies with advanced tools for building and customizing Large Language Models (LLMs). It is designed to qualify participants with the skills and knowledge required to build and customize generative AI models. It seeks to enable them to develop advanced applications that achieve high efficiency in the training and deployment of smart models.
Furthermore, it aims to boost their career opportunities by having them obtain professional certifications from Nvidia, thereby supporting technological development and the building of national capabilities in AI fields.
The program runs for two weeks and is delivered via a self-paced learning mechanism, allowing generative AI specialists to develop their skills in building LLMs in a practical and advanced manner.
Upon successful completion of the program, trainees will receive a prestigious professional certification from Nvidia, titled “Nvidia-Certified Associate: Generative AI LLMs,” which is recognized globally in this domain.
The launch of the program is part of SDAIA’s efforts to enable national talent to acquire advanced technical knowledge in generative AI, aligning with the objectives of Saudi Vision 2030 toward a knowledge- and innovation-based economy.
Also, SDAIA launched the “Artificial Intelligence Application Engineering Bootcamp,” in the British capital, London, with the participation of 30 male and female university graduates from the Kingdom.
The bootcamp aimed to qualify bachelor’s and master’s degree graduates in artificial intelligence, computer science, and related fields by providing them with advanced skills in deep learning, computer vision, and generative models, under the supervision of international experts. It also enabled them to design and develop artificial intelligence models and apply them in various work environments.
The training program included two phases, the first of which began remotely, while the second phase was held at Oxford University over a period of three weeks. During this phase, trainees gained practical experience using deep learning frameworks such as TensorFlow and PyTorch, computer vision applications such as YOLO, natural language processing (NLP), and generative models on HuggingFace.
This camp is an extension of SDAIA’s efforts to empower and qualify national talent in advanced artificial intelligence specializations through leading international universities. This enhances the readiness of Saudi youth to compete globally in modern technology fields and contributes to supporting the goals of Saudi Vision 2030.
