DeepLearning.AI 课程
DeepLearning.AI 课程可以帮助您了解机器学习和人工智能技术是如何在不同任务中开发和应用的。您可以培养神经网络、模型 Evaluation、数据准备和现代 Generative AI 方法方面的技能。许多课程都会介绍一些工具，如 Python 库、云环境和框架，这些工具支持对模型进行实验并加强实用的 AI Workflow。
热门 DeepLearning.AI 课程和认证
DeepLearning.AI
您将获得的技能: Application Deployment, Cloud Deployment, Generative AI, Prompt Engineering, Prototyping, Agile Product Development, Retrieval-Augmented Generation, Application Development, Interactive Design, User Interface (UI), Data Integration
DeepLearning.AI
您将获得的技能: AI Orchestration, Agentic Workflows, Generative AI Agents, Agentic systems, LLM Application, Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, System Monitoring, Workflow Management, Tool Calling, Continuous Monitoring, Scalability, Prompt Engineering, Code Review, User Feedback
DeepLearning.AI
您将获得的技能: Web Scraping, Extract, Transform, Load, Data Manipulation, Data Preprocessing, Data Validation, Data Ethics, Data Cleansing, SQL, Data Transformation, JSON, Query Languages, Data Pipelines, Pandas (Python Package), Data Collection, Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API), Authentications
DeepLearning.AI
您将获得的技能: Apache Hadoop, 星形模式, 实时数据, 数据转换, 数据预处理, 机器学习, 数据管道, 数据访问, 功能工程, 数据仓库, Apache Spark, 数据建模
DeepLearning.AI
您将获得的技能: CrewAI, AI Workflows, Agentic Workflows, AI Orchestration, LLM Application, Large Language Modeling, Generative AI Agents, Tool Calling, Agentic systems, Model Deployment, Automation, Application Deployment, Model Evaluation
DeepLearning.AI
您将获得的技能: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning
DeepLearning.AI
您将获得的技能: Python 编程, 及时工程, LangChain, 法学硕士申请, Node.JS, 人工智能协调, JavaScript 框架, 检索-增强生成
DeepLearning.AI
您将获得的技能: Retrieval-Augmented Generation, LangChain, AI Orchestration, Database Development, SQL, LLM Application, Query Languages, OpenAI API, Microsoft Azure, Tool Calling, OpenAI, Natural Language Processing
DeepLearning.AI
您将获得的技能: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, AI Security, Code Review, Computer Programming Tools
DeepLearning.AI
您将获得的技能: Multimodal Prompts, Gemini, Prompt Engineering, Google Gemini, Prompt Patterns, LLM Application, Generative AI, Application Programming Interface (API), Image Analysis
DeepLearning.AI
您将获得的技能: 及时工程, 拥抱的脸, 法学硕士申请, 非结构化数据, 人工智能赋能, 数据处理, 查询语言, 网络服务, 工具调用, 数据库管理, 人工智能工作流程, 恢复性应用程序接口
DeepLearning.AI
您将获得的技能: Embeddings, LLM Application, Anomaly Detection, Generative AI, Google Cloud Platform, Natural Language Processing, Vector Databases, Semantic Web, Unsupervised Learning, Python Programming
总之，以下是 10 最受欢迎的 deeplearning.ai 课程
- Fast Prototyping of GenAI Apps with Streamlit: DeepLearning.AI
- Design, Develop, and Deploy Multi-Agent Systems with CrewAI: DeepLearning.AI
- Data I/O and Preprocessing with Python and SQL: DeepLearning.AI
- 数据建模、转换和服务: DeepLearning.AI
- Practical Multi AI Agents and Advanced Use Cases with crewAI: DeepLearning.AI
- Нейронные сети и глубокое обучение: DeepLearning.AI
- 使用 LangChain.js 构建 LLM 应用程序: DeepLearning.AI
- Building Your Own Database Agent: DeepLearning.AI
- Prompt Engineering with Llama 2&3: DeepLearning.AI
- Large Multimodal Model Prompting with Gemini: DeepLearning.AI
