Currently, we are in a global industrial transformation driven by generative AI, large language models and AI Agent technologies. AI is not only about improving the "efficiency" of a single link, but also about reconstructing the entire business ecosystem — it is reshaping the entire value chain of manufacturing from product R&D, quality management, supplier management, production inventory management, financial management, business process management, sales management to customer service, giving rise to unprecedented products and services, subverting traditional management and collaboration models, and redefining enterprise management and development models.
The course will systematically and comprehensively cover AI basic theory and artificial intelligence language large models, core principles of generative AI, AI tool exercises, advanced prompt engineering and practical operation of agent development, helping enterprise learners master artificial intelligence language large models, AI agent development combined with business scenarios, and provide safe, compliant and trustworthy AI technology implementation paths and methods.

• Establish a comprehensive understanding of AI technology and understand its key role in enterprise transformation and upgrading
• Master AI basic theory, core principles of generative AI and large language model applications
• Learn to use mainstream AI tools and advanced prompt engineering
• Master AI agent development practice based on the Coze low-code platform
• Understand AI ethics, risks, compliance and the ISO 42001 framework
• Obtain a safe and compliant enterprise AI technology implementation path

• Middle and senior management of traditional manufacturing and emerging technology enterprises committed to achieving process upgrades through AI empowerment, core backbones of business R&D/management/marketing/finance/quality/HR/production and other departments, and digital transformation heads

• What is AI?
• AI technology routes
• How AI reshapes industry development
• Core principles of large model LLM
• Prompt Engineering basics
• Prompt case learning for different business scenarios
• Learning and practicing mainstream AI tools
• Enterprise AI ethics guidelines, risks and controls
• Building an enterprise AI compliance framework: ISO 42001
• Prompt optimization iteration techniques and general principles
• Smart office: office software connected to DeepSeek for intelligent document processing
• Data visualization analysis: business data processing, analysis and visualization
• From tool to assistant: what is an AI Agent? Differences from ChatGPT and DeepSeek
• Core framework of AI Agent
• Mainstream AI Agent development tool platforms
• In-depth analysis of AI Agent commercialization scenarios and cases
• Learning the Coze low-code development platform
• Practical exercises of AI Agent intelligent agents based on different scenarios
• Construction of intelligent and large-scale intelligent empowerment systems for specific scenarios, process reengineering and organizational change