PluralSight – Designing and Implementing a Data Science Solution on Azure (DP-100): Optimize Language Models for AI Applications 2026
English | Tutorial | Size: 216.66 MB
Embark on a journey to master Azure’s data science ecosystem for AI innovation. This course will teach you to design, implement, and optimize large language models for scalable, cost-effective AI applications, aligning with DP-100 certification.
What you’ll learn
Developing and optimizing large language models (LLMs) for AI applications on Azure can be complex. In this course, Designing and Implementing a Data Science Solution on Azure (DP-100): Optimize Language Models for AI Applications, you’ll gain the ability to design, implement, and optimize LLM-based AI solutions using Azure OpenAI Service.
First, you’ll explore Azure OpenAI Service, including its core components and integration capabilities, to build foundational LLM applications.
Next, you’ll discover parameter optimization, focusing on techniques to tune hyperparameters and prompts for improved model efficiency and cost-effectiveness.
Finally, you’ll discover RAG (retrieval-augmented Generation), learning how to incorporate external knowledge sources to enhance LLM accuracy and reduce hallucinations.
When you’re finished with this course, you’ll have the skills to design, implement, and optimize large language models.
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