در حال حاضر محصولی در سبد خرید شما وجود ندارد.
As generative AI models have become increasingly popular, enterprises have started to build end-to-end applications to integrate their existing workflows with generative AI. In this course, instructor Kumaran Ponnambalam shows you how to get up and running with integration, performance management, trust, and monitoring to deliver effective and trustworthy generative AI applications at scale.
Explore some of the unique characteristics and use cases for generative AI-powered applications in an enterprise setting, including available options, selection criteria, and key deployment considerations for generative AI models. Kumaran covers the basics of evaluating and fine-tuning models as well as patterns and best practices for core application design. By the end of this course, you’ll also be equipped with new skills to manage application performance, maintain safety and trust, and navigate some of the most important ethical and legal challenges of AI.
در این روش نیاز به افزودن محصول به سبد خرید و تکمیل اطلاعات نیست و شما پس از وارد کردن ایمیل خود و طی کردن مراحل پرداخت لینک های دریافت محصولات را در ایمیل خود دریافت خواهید کرد.
Data Science on Google Cloud Platform: Predictive Analytics
Architecting Big Data Applications: Batch Mode Application Engineering
آموزش مهندسی داده دسته ای با Apache Flink
آموزش الگوهای پردازش Stream ها بوسیله Apache Flink
آموزش پردازش و مهندسی داده ها به صورت Real-Time بوسیله Apache Flink
آموزش ضروری Apache Kafka : شروع به کار
Apache Kafka Essential Training: Building Scalable Applications
Apache Spark Essential آموزش: مهندسی داده های بزرگ
Applied AI: Building NLP Apps with Hugging Face Transformers
Processing Text with Python Essential Training
✨ تا ۷۰% تخفیف با شارژ کیف پول 🎁
مشاهده پلن ها