All current Model Deployment Courses courses in 2024
17 Courses
Developing Machine Learning Solutions (Indonesian)
Developing Machine Learning Solutions (Indonesian)
Dalam kursus machine learning ini, Anda akan mempelajari tentang siklus hidup machine learning, dan cara menggunakan layanan AWS di setiap tahap. Selain itu, Anda akan menemukan beragam sumber untuk model machine learning dan mempelajari teknik untuk mengevaluasi kinerjanya. Anda juga akan memah.
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.
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..
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.
Foundations of AI and Machine Learning
Foundations of AI and Machine Learning Course - Coursera
Enroll in the Foundations of AI and Machine Learning course on Coursera, designed to offer a deep dive into the essential components of AI & ML infrastructure. This comprehensive program covers key aspects such as data pipelines, model development frameworks, and deployment platforms, e.
Developing Machine Learning Solutions (Thai)
นักเรียนที่เข้าร่วมในหลักสูตรแมชชีนเลิร์นนิงนี้จะได้เรียนรู้เกี่ยวกับการดำเนินงานในวงจรชีวิตของแมชชีนเลิร์นนิง พร้อมค้นพบวิธีการใช้บริการ AWS ในแต่ละขั้นตอนอย่างรอบคอบ หลักสูตรนี้ยังแสดงให้เห็นถึงความสำคัญของ MLOps ในการปรับปรุงการพัฒนาและใช้งานเครื่องมืออย่างมีประสิทธิภาพ
ระดับหลักสูตร: พื้นฐาน
ระยะเวลา: 1 ชั่วโมง
กิจกรรม
หลักสูตรนี.
Build and Deploy an Agent with Reasoning Engine in Vertex AI
Build and Deploy an Agent with Reasoning Engine in Vertex AI
Engage in this self-paced lab through the Google Cloud console and gain hands-on experience in building and deploying an agent. Learn to utilize the Vertex AI SDK for Python effectively, including working with models, tools, and reasoning.
Categories:
Artificial Intelligence Cour.
Developing Generative Artificial Intelligence Solutions (Traditional Chinese)
開發生成式人工智慧解決方案 (繁體中文)
在本課程中，您將會探索生成式人工智慧 (生成式 AI) 應用程式生命週期，其中包括以下內容：
定義商業使用案例
選取基礎模型 (FM)
改善 FM 的效能
評估 FM 的效能
部署及其對業務目標的影響
本課程是生成式 AI 課程的入門，其中深入探討使用提示詞工程、檢索增強生成 (RAG) 和微調來自訂 FM 的相關概念。
課程等級：基礎.
Generative AI and Model Selection
Generative AI and Model Selection | Southern New Hampshire University | Coursera
Delve into the realm of generative AI and discover the intricacies of selecting the perfect model to suit your requirements with this hands-on course. You will develop a robust understanding of generative AI models, and examine various deployment options such as web.
Implementing Neural Network Solutions in Enterprise Environments
Implementing Neural Network Solutions in Enterprise Environments
This course covers implementing neural network solutions and models in an enterprise. The topics include model deployment strategies, monitoring systems in production, integration with ETL and databases, and security.
Neural networks are rapidly becoming integral to enterprise soluti.
