Building Applications with LLM APIs
Build practical skills in building applications with llm apis and apply key concepts, tools, and techniques to real-world business and technology scenarios.
Course Overview
Course Overview Module 1: Core Concepts • Introduction to Building Applications with LLM APIs • Integrating models like GPT/Claude into products • Core concepts and terminology • Practical workflows and techniques Module 2: Tools & Techniques • Core concepts and terminology • Practical workflows and techniques • Business use cases and implementation patterns • Best practices, risks and evaluation Module 3: Practical Implementation • Core concepts and terminology • Practical workflows and techniques • Business use cases and implementation patterns • Best practices, risks and evaluation Module 4: Applied Skills • Core concepts and terminology • Practical workflows and techniques • Business use cases and implementation patterns • Best practices, risks and evaluation Module 5: Real-World Application • Business use cases and implementation patterns • Best practices, risks and evaluation • Real-world business use cases • Best practices and key takeaways
Learning Outcomes
Understand the core concepts and terminology of Building Applications with LLM APIs.
Apply relevant tools, techniques, and workflows in practical scenarios.
Analyze common problems and select appropriate approaches.
Work through real-world examples and business use cases.
Apply best practices to improve quality, efficiency, and outcomes.
Prerequisites
• Basic computer and internet skills. • Basic understanding of the relevant business or technology context. • Logical and analytical thinking. • Willingness to participate in practical exercises. • No prior experience in the specific course topic is required unless otherwise stated.
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