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
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
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.
Skills you'll gain
Details to know
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Recently updated!
December 2025
Assessments
10 assignments
Taught in English
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There are 10 modules in this course
In this section, we explore generative AI integration patterns, transformer and diffusion model architectures, and responsible experimentation strategies to enable practical AI applications.
What's included
2 videos4 readings1 assignment
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.
What's included
1 video3 readings1 assignment
In this section, we cover integrating GenAI into workflows, focusing on real-time interactions, prompt processing, and model monitoring for continuous improvement.
What's included
1 video3 readings1 assignment
In this section, we explore batch and real-time integration patterns for LLMs, focusing on throughput, latency, and pipeline design for practical system implementation.
What's included
1 video3 readings1 assignment
In this section, we explain how to extract metadata from 10-K reports using GenAI and cloud tools.
What's included
1 video4 readings1 assignment
In this section, we explore Generative AI for financial document summarization and cloud integration.
What's included
1 video2 readings1 assignment
In this section, we cover real-time intent classification and AI integration for fast user interactions.
What's included
1 video3 readings1 assignment
In this section, we cover RAG systems for financial services, including use cases, architecture, and implementation.
What's included
1 video1 reading1 assignment
In this section, we explore operationalizing GenAI integration patterns with a focus on scalability and compliance.
What's included
1 video8 readings1 assignment
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.
What's included
1 video8 readings1 assignment
Instructor
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Frequently asked questions
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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Financial aid available,