To help enterprises break down barriers to AI technology implementation and build their own AI R&D capability systems, we have developed a comprehensive end-to-end AI R&D specialized training program. The curriculum covers fundamental AI theories, large model application development, data governance, model training and deployment, as well as the entire workflow of AI microservice engineering. It is deeply aligned with business scenarios in industries such as finance and government-enterprise sectors, balancing theoretical learning with practical project work. Leveraging practical experience in distributed microservice architectures, the training helps technical, product, and operations teams strengthen core AI R&D skills, mastering the complete implementation methods from requirement decomposition, model optimization, service encapsulation to integration with business systems. Concurrently, it enhances essential enterprise capabilities for AI implementation such as AI compliance, data security, and model operations. This enables enterprises to cultivate their self-researched AI technical teams, quickly embed AI capabilities into existing business systems, and achieve cost reduction, efficiency improvement, and digital intelligent upgrading.
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