All current Model Deployment Courses courses in 2024
27 Courses
AI for Python (Live Online)
Embark on a transformative learning journey with our AI for Python (Live Online) course, designed for both beginners and those with intermediate Python skills. This hands-on course covers essential AI concepts, providing you with the expertise to integrate AI into your projects.
Throughout the course, engage in a blend of theoretical unders.
H2O Gen AI Ecosystem Overview - Level 2
Expand your understanding of H2O's GenAI platform with the Ecosystem Overview - Level 2 course, presented by H2O's Sanyam Bhutani. This course offers an in-depth exploration of tools, applications, and methodologies designed for AI and ML within the H2O ecosystem. You'll learn efficient data preparation techniques, advanced model training, dep.
Microsoft Azure for AI and Machine Learning
This comprehensive course immerses you in Microsoft Azure's AI and Machine Learning services, offering valuable hands-on experience. Develop the skills to set up, manage, and troubleshoot Azure-based AI & ML workflows. The curriculum addresses the entire ML lifecycle in Azure, spanning from data preparation to model deployment and monitoring..
Desarrollo de soluciones de machine learning (Español LATAM) | Developing Machine Learning Solutions (LATAM Spanish)
En este curso, aprenderá acerca del ciclo de vida del machine learning y de cómo utilizar los servicios de AWS en cada etapa. Conocerá las diversas fuentes de modelos de machine learning y aprenderá técnicas para evaluar su rendimiento. También comprenderá la importancia de las operaciones de machine learning (MLOps) para optimizar el desarrollo.
Digital Classroom - Practical Data Science with Amazon SageMaker
Artificial intelligence and machine learning (AI/ML) are now widespread, and this course immerses students in the daily life of a data scientist. You'll collaborate effectively with data scientists and develop applications that integrate with ML. Learn how data scientists create ML solutions on Amazon Web Services (AWS) using Amazon SageMaker. Expe.
Machine Learning Product Management: A Practical Guide
Embark on a dynamic career path in Machine Learning Product Management with our dedicated course on Udemy. This practical guide is designed to equip you with essential skills to excel in fields such as Artificial Intelligence, Data Science, and Product Management.
Delve into specialized areas including Data Transformation, Model Evaluation, M.
End-to-End Machine Learning: From Idea to Implementation
Unlock the potential of artificial intelligence with our course, "End-to-End Machine Learning: From Idea to Implementation." Designed for both beginners and experts, this Udemy course offers a practical approach to building, managing, and deploying machine learning projects through the power of Python and MLOps.
Explore the seamless integrati.
Generative AI Mastery With 15+ Real Time Projects
Generative AI Mastery With 15+ Real Time Projects - Udemy
Enroll now in the Generative AI Mastery Course on Udemy and transform your machine learning skills with hands-on projects and expert guidance!
Developing Generative Artificial Intelligence Solutions (简体中文)
在本课程中,您将探索生成式人工智能应用程序生命周期,其中包括以下内容:
定义业务使用案例
选择基础模型 (FM)
提高 FM 的性能
评估 FM 的性能
部署及其对业务目标的影响
本课程是生成式人工智能课程的入门课程,这些课程深入探讨了使用提示工程、检索增强生成 (RAG) 和微调技术自定义 FM 的相关概念。
课程级别:基础级
时长:1 小时
注意:本课程具有.
Developing Generative Artificial Intelligence Solutions (한국어)
이 과정에서는 다음을 포함하는 생성형 인공 지능(생성형 AI) 애플리케이션 수명 주기를 살펴봅니다.
비즈니스 사용 사례 정의
파운데이션 모델(FM) 선택
FM 성능 개선
FM 성능 평가
배포 및 비즈니스 목표에 미치는 영향
이 과정은 생성형 AI 입문 과정으로, 프롬프트 엔지니어링, 검색 증강 생성(RAG), 파인 튜닝을 사용한 FM 사용자 지정과 관련된 개념을.