All current Deep Learning Courses courses in 2024
635 Courses
Exam Prep Official Pretest: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English)
Exam Prep Official Pretest: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English)
The Exam Prep Official Pretest: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English) includes 65 questions and has a time limit of 130 minutes. This pretest aligns with the MLA-C01 version of the exam and exam guide.
About AWS Ce.
AWS SimuLearn: TensorFlow and Computer Vision
AWS SimuLearn: TensorFlow and Computer Vision
AWS SimuLearn is an online learning experience that pairs generative AI-powered simulations with hands-on practice to help individuals learn how to translate business problems into technical solutions through the simulation of dialog between a customer and a technology professional.
AWS SimuLearn: Te.
Generative AI: Introduction to Large Language Models
Generative AI: Introduction to Large Language Models | LinkedIn Learning
Course Title: Generative AI: Introduction to Large Language Models
Description: Gain a foundational knowledge of how large language models and other Generative AI models work.
University: Provided by LinkedIn Learning
Categories: Artificial Intelligence Cour.
Introduction to Generative Adversarial Networks (GANs)
Introduction to Generative Adversarial Networks (GANs)
Gain a better understanding of Generative Adversarial Networks (GANs). Learn how GANs are created, trained, and their capability to generate new media. This course is offered by LinkedIn Learning through the university platform.
Categories:
Arti.
AI Fundamentals for Data Professionals
AI Fundamentals for Data Professionals | LinkedIn Learning
Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals. Gain expertise in the core areas of Artificial Intelligence, including Machine Learning, Reinforcement Learning, Deep Learning, Supervised Learning, Unsupervised Learni.
AI-Powered Software and System Design
AI-Powered Software and System Design | Coursera
AI-Powered Software and System Design - Coming soon!
Provider: Coursera
Categories: Machine Learning Courses, Deep Learning Courses
Introduction to AWS Inferentia and Amazon EC2 Inf1 Instances (Japanese)
Introduction to AWS Inferentia and Amazon EC2 Inf1 Instances (Japanese)
この動画では、機械学習の推論処理の課題とユースケースについて学び、これらの課題の解決に役立つ、AWS Inferentia 搭載の Amazon EC2 Inf1 インスタンスを使った AWS ソリューションについて理解します。機械学習の推論処理用に設計された AWS Inferentia のカスタムチップや、AWS Inferentia を.
AWS Foundations: Machine Learning Basics (Japanese)
AWS Foundations: Machine Learning Basics (Japanese)
Explore the basics of AWS cloud infrastructure with a focus on machine learning, delivered in Japanese. This comprehensive course offered by AWS Skill Builder covers essential topics across various machine learning disciplines, including supervised and unsupervised learning, deep learning, rei.
AWS Foundations: Machine Learning Basics (Japanese) 日本語実写版
AWS Foundations: Machine Learning Basics (Japanese) 日本語実写版
Understand the basics of AWS cloud infrastructure through this comprehensive course in Japanese.
AWS ML Engineer Associate Curriculum Overview (Japanese)
AWS ML Engineer Associate Curriculum のこの入門コースでは、機械学習 (ML) の基礎を復習し、ML と AI の進化について確認します。ML ライフサイクルの最初のステップとして、ビジネス目標を特定し、そのビジネス目標に基づいて ML の問題を定式化します。最後に、ML モデルの構築、トレーニング、デプロイに使用できるフルマネージド型 AWS サービスである Amazon SageMak.
AWS ML Visão geral do curso de engenheiro associado (Português) | AWS ML Engineer Associate Curriculum Overview (Portuguese)
Neste curso introdutório à grade curricular de engenheiros de ML associados da AWS, você analisa os conceitos básicos de machine learning (ML) e examina a evolução do machine learning e da IA. Você explora as primeiras etapas do ciclo de vida do ML, identificando uma meta de negócios e formulando um problema de ML com base nessa meta de negócios. F.
IA para todos: domina los conceptos básicos
En este MOOC, aprenderás qué es la IA y comprenderás sus aplicaciones y casos de uso y cómo está transformando nuestras vidas. Explorarás los conceptos básicos de la IA, como el aprendizaje automático, el aprendizaje profundo y las redes neuronales, así como los casos de uso y las aplicaciones de la IA. Estarás expuesto a las preocupaciones que r.