Description
OpenAI: Prompt Engineering for Improved Performance. This course explores prompt engineering techniques for designing, testing, and optimizing prompts for accurate, stable, and cost-effective performance using the OpenAI API. Software developers often struggle to achieve accurate, stable, and cost-effective results with large language models, which can lead to unreliable AI features and longer development times. In this course, learners will gain the ability to design structured, testable prompts that perform reliably in real-world applications. The introductory sections explore building multi-part prompts with clear constraints, formatting, and safety mechanisms to improve compliance and reduce model artifacts. Next, advanced prompting patterns such as chain of thought reasoning, multi-step examples, and dynamic prompt templates are taught to handle more complex scenarios. Finally, they learn how to design prompts to call functions, optimize them for cost and latency, and implement testing and monitoring strategies for operational and production environments. Upon completion of this course, participants will gain the skills necessary to build scalable, reliable, and high-performance applications. In addition, the course helps developers systematically manage the process of interacting with AI models. By learning advanced techniques, engineers can minimize the error rate of AI systems and increase the overall productivity of applications. This practical training provides a solid foundation for mastering the standards of AI-based software development.
What you will learn
- Designing structured prompts: Constructing multi-part prompts with clear constraints and safety mechanisms to reduce model illusion.
- Advanced prompt writing patterns: Using chain of thought reasoning, multi-step examples, and dynamic prompt formats.
- Function calls and optimization: Design prompts for function call capabilities and optimize response costs and latency.
- Testing and Monitoring in Production Environment: Implementing testing and monitoring strategies for industrial-scale applications.
- Build scalable applications: Develop reliable, high-performance AI capabilities using the OpenAI API.
This course is suitable for people who:
- Software developers: Programmers who plan to implement AI-based features in their products.
- Artificial Intelligence Engineers: Professionals who seek to improve the accuracy and stability of the outputs of large language models.
- Application developers: People who use the OpenAI API to build applications and are looking to optimize performance.
OpenAI: Prompt Engineering for Improved Performance Course Details
- Publisher: Pluralsight
- Instructor: Ed Freitas
- Education level: Intermediate
- Training duration: 1 hour
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
148 MB