This course explores how to effectively integrate Generative AI into application development, covering key concepts, practical strategies, and real-world applications. You'll gain insights into designing, deploying, and managing AI-driven solutions with a focus on ethical and responsible practices.
Generative AI Application Integration Patterns
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您将学到什么
Understand core GenAI concepts such as pre-training, fine-tuning, and RAG.
Apply frameworks for integrating AI into applications through real-world examples.
Implement ethical practices for responsible AI development and deployment.
您将获得的技能
- Artificial Intelligence
- AI Workflows
- Large Language Modeling
- Cloud Computing Architecture
- Prompt Engineering
- Model Deployment
- Scalability
- AI Enablement
- System Monitoring
- ChatGPT
- Generative AI
- Cloud Development
- LLM Application
- MLOps (Machine Learning Operations)
- Responsible AI
- Generative Model Architectures
- Deep Learning
- Data Ethics
- Real Time Data
- AI Security
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最近已更新！
December 2025
作业
10 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
该课程共有10个模块
In this section, we explore generative AI integration patterns, transformer and diffusion model architectures, and responsible experimentation strategies to enable practical AI applications.
涵盖的内容
2个视频4篇阅读材料1个作业
In this section, we explore methods to identify generative AI (GenAI) use cases using interaction frameworks, analyze business value, and differentiate between comprehensive and generative applications.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we cover integrating GenAI into workflows, focusing on real-time interactions, prompt processing, and model monitoring for continuous improvement.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explore batch and real-time integration patterns for LLMs, focusing on throughput, latency, and pipeline design for practical system implementation.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we explain how to extract metadata from 10-K reports using GenAI and cloud tools.
涵盖的内容
1个视频4篇阅读材料1个作业
In this section, we explore Generative AI for financial document summarization and cloud integration.
涵盖的内容
1个视频2篇阅读材料1个作业
In this section, we cover real-time intent classification and AI integration for fast user interactions.
涵盖的内容
1个视频3篇阅读材料1个作业
In this section, we cover RAG systems for financial services, including use cases, architecture, and implementation.
涵盖的内容
1个视频1篇阅读材料1个作业
In this section, we explore operationalizing GenAI integration patterns with a focus on scalability and compliance.
涵盖的内容
1个视频8篇阅读材料1个作业
In this section, we examine responsible AI practices for GenAI applications, focusing on fairness, interpretability, privacy, and security to ensure ethical and compliant AI systems.
涵盖的内容
1个视频8篇阅读材料1个作业
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常见问题
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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