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Course Outline
Introduction to Claude AI for Developers
- Overview of Claude AI’s capabilities
- Understanding AI-powered applications
- Use cases for AI-driven software development
Working with the Claude AI API
- Setting up API access and authentication
- Sending API requests and handling responses
- Best practices for API rate limits and optimization
Building AI-Powered Chatbots
- Designing chatbot workflows with Claude AI
- Integrating chatbots into web and mobile applications
- Enhancing chatbot responses with contextual AI
Natural Language Processing (NLP) with Claude AI
- Understanding text processing and sentiment analysis
- Implementing AI-driven text summarization and generation
- Using Claude AI for language translation and content creation
Integrating Claude AI with Third-Party Applications
- Connecting Claude AI with messaging platforms (Slack, Discord, etc.)
- Using Claude AI for automated customer support
- Enhancing business applications with AI-powered insights
Deploying and Optimizing AI-Powered Applications
- Deploying AI applications in cloud and local environments
- Scaling AI-powered applications for performance and efficiency
- Optimizing AI responses for accuracy and user experience
Ethical AI Development and Best Practices
- Ensuring responsible AI use in applications
- Handling data privacy and security considerations
- Monitoring AI performance and bias mitigation
Summary and Next Steps
Requirements
- Basic to intermediate programming skills in Python or JavaScript
- Familiarity with REST APIs and JSON
- Understanding of software development workflows
Audience
- Software developers integrating AI into applications
- AI engineers working on chatbot and automation solutions
14 Hours
