Take your no-code applications from static to dynamic with Integrate AI: Streamline No-Code App Responses. This intermediate course is designed for no-code developers, product builders, and citizen developers who want to leverage the power of external AI services. If you are ready to build apps that are not just functional but truly intelligent and responsive, this course is your next step.
Integrate AI: Streamline No-Code App Responses
Integrate AI: Streamline No-Code App Responses
This course is part of Build AI Apps Like a Pro: No-Code Tools for Beginners Specialization
Instructor: LearningMate
Access provided by Marie Curie Alumni Association
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Integrate AI services in no-code apps. Design secure connections, manage real-time data streams, and build responsive, AI-driven user interfaces.
Skills you'll gain
- AI Enablement
- Live Streaming
- Key Management
- Authorization (Computing)
- No-Code Development
- Authentications
- Application Development
- Data Integration
- AI Security
- Automation
- User Interface (UI)
- Scalability
- Real Time Data
- LLM Application
- User Interface and User Experience (UI/UX) Design
- OAuth
- Application Programming Interface (API)
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Taught in English
Recently updated!
January 2026
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This course is part of the Build AI Apps Like a Pro: No-Code Tools for Beginners Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 2 modules in this course
This module teaches you how to securely connect external AI services to your no-code applications. You will learn about different authentication methods like API keys and OAuth, and how to implement them to protect your application and data. We will use real-world examples to show why secure connections are critical for building trustworthy AI-powered tools.
What's included
3 videos2 readings2 assignments
Once your AI service is securely connected, how do you create a seamless user experience? This module focuses on handling real-time data streams from large language models (LLMs). You will learn techniques to display text as it is generated, manage the data flow, and design a responsive user interface that keeps users engaged without performance lags.
What's included
2 videos1 reading3 assignments
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