Integration And Workflow Design
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Course Description:
This module takes you from basic AI integrations to building complete, production-ready systems. You’ll begin by mastering API integration fundamentals, including how to use webhooks, make API calls, and apply common integration patterns for connecting multiple tools and services. We’ll cover critical concepts like error handling, fallback strategies, rate limiting, and performance optimization to ensure your workflows run reliably at scale.
From there, you’ll design your first full end-to-end AI-powered system—mapping multi-step workflows, managing data flow, and refining user experiences to maximize adoption and engagement. You’ll also learn how to monitor system performance to catch issues early and continuously improve your automation pipeline.
Lecture 1: API Integration Basics
This lecture covers the essentials of API integration, including how webhooks and API calls work, common patterns for connecting systems, and strategies for handling errors. You’ll also learn about rate limiting and optimization to ensure smooth, efficient performance.
Key Objectives:
- Understanding webhooks and API calls
- Common integration patterns
- Error handling and fallback strategies
- Rate limiting and optimization
Lecture 2: Building Your First Complete System
- Multi-step workflow design
- Data flow management
- User experience optimization
- Performance monitoring
