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Course Outline
Introduction to LangChain and Workflow Automation
- What is LangChain and how it simplifies automation
- Basic concepts of workflow automation
- Using LangChain for business process automation
Understanding APIs and Integration
- Overview of APIs and their importance in automation
- REST API fundamentals and methods (GET, POST, PUT, DELETE)
- Using Python’s Requests library to interact with APIs
API Integration with LangChain
- Integrating LangChain with popular APIs (e.g., Google APIs, OpenAI API)
- Fetching and processing data from external APIs
- Handling authentication and API keys
Creating Automated Workflows with LangChain
- Designing workflow automation processes with LangChain
- Automating repetitive tasks and processes
- Building simple and complex automation workflows using LangChain
Workflow Optimization and Monitoring
- Optimizing automated workflows for performance
- Monitoring and managing workflow execution
- Handling errors and failures in automation pipelines
Advanced Workflow Automation Techniques
- Combining multiple APIs in a single automated workflow
- Triggering automated actions based on real-time data
- Extending LangChain capabilities with custom scripts
Case Studies and Practical Applications
- Real-world examples of workflow automation in business
- Implementing automation in different industries (finance, logistics, customer service)
- Best practices for efficient workflow automation
Summary and Next Steps
Requirements
- Basic understanding of Python programming
- Familiarity with REST APIs
- Interest in workflow automation
Audience
- Business Analysts
- Automation Engineers
14 Hours