All current Machine Learning Courses courses in 2024
1795 कोर्स
Generative AI for Mobile App Developers
The global mobile app market is on track to grow over 14% annually by 2030, as reported by Grand View Research. As AI-driven mobile development thrives, there is a rising demand for skilled professionals in this domain. This specialization is ideal for aspiring AI developers, software engineers, web designers, and mobile app developers seeking.
Coursera
Generative AI: Turbocharge Mobile App Development
Generative AI: Turbocharge Mobile App Development
Embark on a comprehensive journey into the world of generative artificial intelligence (AI) with our course designed to revolutionize mobile app development. Discover how generative AI can be harnessed at every stage of the app development process, including design, content creation, marketing,.
Coursera
Mastering Generative AI: Fine-Tuning Transformers
Mastering Generative AI: Fine-Tuning Transformers
The demand for technical skills in generative AI is rapidly increasing. AI engineers with expertise in fine-tuning transformers for generative AI applications are highly sought after. This course, Generative AI Engineering Fine-Tuning with Transformers, is meticulously crafted for AI engineers and.
edX
Deep Learning
Artificial neural networks form the foundation of modern AI systems. “Deep Learning” offers participants a comprehensive introduction to the core principles and fundamental building blocks used in today’s neural networks. The course covers the most important types of neural networks, like MLPs, CNNs, RNNs, and Transformers, as well as practical.
edX
Deep Learning Frameworks and Neural Networks Simplified
Join our comprehensive Deep Learning program and equip yourself with advanced skills in TensorFlow, Keras, Recurrent Neural Networks (RNNs), and Neural Networks. Learn to implement cutting-edge AI models and frameworks to effectively tackle real-world challenges and drive impactful innovations.
Master TensorFlow and Keras: Discover Tenso.
Coursera
AI & Deep Learning Concepts and Applications
Embark on a journey to master the intricacies of Artificial Intelligence and Deep Learning with our program designed to instill essential knowledge and practical prowess. You will comprehensively explore AI fundamentals, machine learning methodologies, and deep learning tools to address complex issues and spark innovation.
Master AI Fundam.
Coursera
Leveraging Llama2 for Advanced AI Solutions
Gain the skills and knowledge to harness the power of large language models with our comprehensive course on Llama2. Explore the intricacies of LLM architectures, fine-tuning techniques, and retrieval-augmented generation (RAG). Dive into practical experience with leading tools like Ollama, LangChain, Streamlit, and Hugging Face.
This course.
Coursera
Fundamentals of Machine Learning and Artificial Intelligence (日本語)
Fundamentals of Machine Learning and Artificial Intelligence (日本語) - AWS Skill Builder
このコースでは、機械学習 (ML) と人工知能 (AI) の基礎について学びます。AI、ML、深層学習、そして生成人工知能 (生成 AI) という新たな分野の関係を探ります。基本的な AI 用語をしっかりと理解し、これらの概念をより深く掘り下げるための基礎を築きます。さらに、AI と ML.
AWS Skill Builder
Responsible Artificial Intelligence Practices (繁體中文)
Responsible Artificial Intelligence Practices (繁體中文)
在本課程中，您將學習 AI 實踐。首先，將為您介紹什麼是負責任的 AI。您將學習如何定義負責任的 AI、瞭解負責任的 AI 嘗試克服之挑戰，以及探索負責任 AI 的核心維度。
然後，您將深入探索一些主題，瞭解開發負責任的 AI 系統。將為您介紹由 AWS 提供，以協助您使用負責任的 AI 之服務和工具。您也將瞭解在為 AI.
AWS Skill Builder
Exploring Artificial Intelligence Use Cases and Applications (繁體中文)
在本課程中，您將探索各種行業中人工智慧 (AI)、機器學習 (ML) 和生成人工智慧 (生成式 AI) 的實際使用案例。這些領域包括醫療保健、金融、行銷、娛樂等。您還將了解 AI、ML 和生成式 AI 功能和限制、模型選取技術，以及關鍵業務指標。
課程等級：基礎
課程時長：1 小時
注意：本課程具有本地化的註釋/字幕。旁白保留英語。要顯示字幕，請按一下播放器右下角的.
AWS Skill Builder
Developing Generative Artificial Intelligence Solutions (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
課程時長：1 小時
注意：本課.
AWS Skill Builder
Exploring Artificial Intelligence Use Cases and Applications (日本語)
このコースでは、様々な産業領域における人工知能 (AI)、機械学習 (ML)、および生成AIの具体的なユースケースを探ります。これにはヘルスケア、金融、マーケティング、エンターテインメント業界が含まれ、AI技術の能力と限界、モデルの選択手法、主要なビジネスメトリクスを学びます。
コースレベル: 基礎
所要時間: 1時間
アクティビティこのコースは、インタラクテ.
AWS Skill Builder