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所在平台: Coursera专项课程 课程类别: 其他类别 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/ai-engineer
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课程名称：IBM AI工程专业证书 课程概述：人工智能（AI）的快速创新正在为改变整个行业和我们的生活创造巨大的机会。完成这份涵盖六门课程的全面专业证书后，您将对机器学习和深度学习有实际的理解。 在本课程中，您将掌握机器学习和深度学习的基本概念，包括监督学习和无监督学习。您将使用流行的机器学习和深度学习库，比如SciPy、ScikitLearn、Keras、PyTorch和Tensorflow，解决涉及对象识别、计算机视觉、图像和视频处理、文本分析、自然语言处理、推荐系统等行业问题。 课程中还会教您如何使用Apache Spark在大数据上扩展机器学习。您将构建、训练和部署不同类型的深度架构，包括卷积网络、递归网络和自动编码器。 在完成本专业证书后，您将有多个项目展示自己在机器学习和深度学习方面的熟练程度，并具备成为AI工程师所需的职业技能。 课程大纲包括以下模块： 1. 使用Python进行机器学习 2. Keras的深度学习与神经网络介绍 3. Tensorflow深度学习模型构建 4. PyTorch的神经网络介绍 5. 高级深度学习与PyTorch 6. 深度学习AI顶点项目 7. 生成式AI和大型语言模型(LLMs)架构与数据准备 8. NLP和语言理解的生成式AI基础模型 9. 使用变换器进行生成式AI语言建模 10. 生成式AI工程与变换器微调 11. 生成式AI的大型语言模型（LLMs）高级微调 12. 使用RAG和LangChain的AI代理基础 13. 生成式AI应用项目与RAG和LangChain 课程链接请访问Coursera获取更多信息。
Course Link: https://www.coursera.org/learn/machine-learning-with-python
Name:Machine Learning with Python
Description:Offered by IBM. Python is a core skill in machine learning, and this course equips you with the tools to apply it effectively. You’ll learn ... Enroll for free.
Course Link: https://www.coursera.org/learn/introduction-to-deep-learning-with-keras
Name:Introduction to Deep Learning & Neural Networks with Keras
Description:Offered by IBM. This course introduces deep learning and neural networks with the Keras library. In this course, you’ll be equipped with ... Enroll for free.
Course Link: https://www.coursera.org/learn/building-deep-learning-models-with-tensorflow
Name:Deep Learning with Keras and Tensorflow
Description:Offered by IBM. Deep learning is revolutionizing many fields, including computer vision, natural language processing, and robotics. In ... Enroll for free.
Course Link: https://www.coursera.org/learn/deep-neural-networks-with-pytorch
Name:Introduction to Neural Networks and PyTorch
Description:Offered by IBM. PyTorch is one of the top 10 highest paid skills in tech (Indeed). As the use of PyTorch for neural networks rockets, ... Enroll for free.
Course Link: https://www.coursera.org/learn/advanced-deep-learning-with-pytorch
Name:Deep Learning with PyTorch
Description:Offered by IBM. This course advances from fundamental machine learning concepts to more complex models and techniques in deep learning using ... Enroll for free.
Course Link: https://www.coursera.org/learn/ai-deep-learning-capstone
Name:AI Capstone Project with Deep Learning
Description:Offered by IBM. In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use ... Enroll for free.
Course Link: https://www.coursera.org/learn/generative-ai-llm-architecture-data-preparation
Name:Generative AI and LLMs: Architecture and Data Preparation
Description:Offered by IBM. Ready to explore the exciting world of generative AI and large language models (LLMs)? This IBM course, part of the ... Enroll for free.
Course Link: https://www.coursera.org/learn/gen-ai-foundational-models-for-nlp-and-language-understanding
Name:Gen AI Foundational Models for NLP & Language Understanding
Description:Offered by IBM. This IBM course will equip you with the skills to implement, train, and evaluate generative AI models for natural language ... Enroll for free.
Course Link: https://www.coursera.org/learn/generative-ai-language-modeling-with-transformers
Name:Generative AI Language Modeling with Transformers
Description:Offered by IBM. This course provides a practical introduction to using transformer-based models for natural language processing (NLP) ... Enroll for free.
Course Link: https://www.coursera.org/learn/generative-ai-engineering-and-fine-tuning-transformers
Name:Generative AI Engineering and Fine-Tuning Transformers
Description:Offered by IBM. The demand for technical generative AI (GenAI) skills is increasing, and businesses are actively seeking AI engineers who ... Enroll for free.
Course Link: https://www.coursera.org/learn/generative-ai-advanced-fine-tuning-for-llms
Name:Generative AI Advance Fine-Tuning for LLMs
Description:Offered by IBM. "Fine-tuning large language models (LLMs) is essential for aligning them with specific business needs, improving accuracy, ... Enroll for free.
Course Link: https://www.coursera.org/learn/fundamentals-of-ai-agents-using-rag-and-langchain
Name:Fundamentals of AI Agents Using RAG and LangChain
Description:Offered by IBM. Business demand for technical gen AI skills is exploding, and AI engineers who can work with large language models (LLMs) ... Enroll for free.
Course Link: https://www.coursera.org/learn/project-generative-ai-applications-with-rag-and-langchain
Name:Project: Generative AI Applications with RAG and LangChain
Description:Offered by IBM. Get ready to put your generative AI engineering skills into practice! In this hands-on guided project, you’ll apply the ... Enroll for free.
The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.
IBM AI工程专业证书：人工智能（AI）的快速创新正在为改变整个行业和我们的生存创造巨大的机会。竞争了这份全面的6门课程专业证书后，您将对机器学习和深度学习有实际的了解。 您将掌握机器学习和深度学习的基本概念，包括监督学习和无监督学习。您将利用流行的机器学习和深度学习库，例如SciPy，ScikitLearn，Keras，PyTorch和Tensorflow，这些库已应用于涉及对象识别和计算机视觉，图像和视频处理，图像和视频处理，文本分析，自然语言处理，推荐系统等行业问题分类器的类型。 您将能够使用Apache Spark扩展大数据上的机器学习。您将构建，训练和部署不同类型的深度架构，包括卷积网络，递归网络和自动编码器。 到本专业证书结束时，您将完成几个项目，展示您在机器学习和深度学习方面的熟练程度，并拥有作为AI工程师的职业技能。