The Production Deployment and Advanced Patterns course equips learners with the skills to transform AI agents into professional-grade applications ready for real-world use. Starting with user interface development, learners build interactive agent interfaces using Streamlit for rapid prototyping and Flask APIs for scalable integration across platforms. They then explore advanced UI patterns such as streaming responses, interactive visualizations, responsive design, and effective expectation management to create seamless agent experiences.
Production Deployment and Advanced Patterns
Production Deployment and Advanced Patterns
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5 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
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本课程是 Build Powerful AI Agents with OpenAI Tools 专业证书 专项课程的一部分
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As a Senior Consultant at Praxis AI, your mandate is to rescue "CityScout," a fragile travel agent prototype that crashes under real-world use. You will take a junior developer's messy, stateless CLI script and refactor it into a robust production architecture, mastering the critical transition from Scripting to Application Engineering. Your mission is to implement State Persistence to stabilize the web interface, build a Headless Flask API to support mobile integration, and engineer Streaming Responses to solve latency issues, ensuring the system can handle concurrency and errors at scale.
涵盖的内容
3个视频4篇阅读材料3个作业3个非评分实验室
Vitality Health has deployed TriageBot as a pilot program, but an audit reveals critical security gaps. Patient data (PHI) is being logged in plain text, there is no access control, and a billing spike shows the API is being abused. You must implement enterprise-grade security before the HIPAA auditors return. You will implement Role-Based Access Control (RBAC) to separate Doctors from Patients, sanitize all logs to remove Protected Health Information (PHI), and rate-limit the API to prevent DDoS attacks on critical infrastructure.
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2个作业
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