Get ready to power up your resume with the GenAI development skills employers need. During this course you’ll explore core prompt engineering strategies—like in-context learning and chain-of-thought—and create and manage robust prompt templates. Plus, you’ll follow best practices to handle common errors and experiment with different LLMs and configurations to strengthen your outputs.
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您将学到什么
Master the basics of GenAI and the LangChain framework, focusing on how prompt engineering and in-context learning to enhance AI interactions
Apply prompt templates, chains, and agents to create flexible and context-aware AI applications using LangChain's modular approach
Develop a GenAI web application with Flask, integrating advanced features such as JSON output parsing for structured AI responses
Evaluate and compare different language models to select the most suitable for specific use cases, ensuring optimal performance and reliability
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7 项作业
了解顶级公司的员工如何掌握热门技能

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学生评论
- 5 stars
74.05%
- 4 stars
18.14%
- 3 stars
3.79%
- 2 stars
1.89%
- 1 star
2.10%
显示 3/473 个
已于 Nov 20, 2025审阅
Very detailed and comprehensive. Despite the amount of topics, explanation by the instructors were very easy to understand and covered all the key concepts.
已于 Dec 27, 2025审阅
A very good course with lots of hands-on knowledge! Only criticism for authors is that some of the AI models used in exercises have become outdated and are not available in the IBM WatsonX repository.
已于 Dec 4, 2025审阅
it was good, but the vid content was just to shallow, while the readings and the other stuffs were amazing!









