个结果，搜索词为 "llm 申请"
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Data Ethics, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL
Coursera
您将获得的技能: Apache Airflow, MLOps (Machine Learning Operations), User Acceptance Testing (UAT), Prompt Patterns, LLM Application, AI Security, Extract, Transform, Load, Scripting, Technical Communication, SQL, Data Pipelines, PyTorch (Machine Learning Library), Miro AI, Data Presentation, Large Language Modeling, Python Programming, Performance Tuning, Root Cause Analysis, Statistical Analysis, Version Control
您将获得的技能: LLM Application, Kubernetes, Systems Architecture, Large Language Modeling, Data Pipelines, Software Architecture, Application Deployment, Microservices, Apache Airflow, Containerization, Infrastructure Architecture, Scalability, AWS CloudFormation, Managed Services, Azure DevOps, Application Performance Management, Open Source Technology
您将获得的技能: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Model Evaluation, LangChain, Large Language Modeling, Hugging Face, Transfer Learning, Model Deployment, Responsible AI, Performance Tuning, AI Workflows, Generative AI, LangGraph, Embeddings, Context Management, Vector Databases
Coursera
您将获得的技能: LLM Application, Large Language Modeling, Prompt Engineering, Data Analysis Expressions (DAX), Statistical Reporting, Business Intelligence, Business Reporting, Data Pipelines, Generative AI, Cost Benefit Analysis, Performance Analysis, Model Evaluation, Key Performance Indicators (KPIs), Automation
是什么让您今天来到 Coursera？
Duke University
您将获得的技能: 大型语言建模, 及时工程, 拥抱的脸, Prompt Engineering, 检索-增强生成, 矢量数据库, 多模式提示, MLOps（机器学习运营）, 阿帕奇气流, 生成模型架构, 生成式人工智能, 法学硕士申请, 模型部署, 数据湖, ChatGPT, 工作流程管理, Databricks, 性能分析, 亚马逊基岩, 摘录, OpenAI
您将获得的技能: 生成对抗网络 (GAN), 人工智能, 拥抱的脸, 数据管道, PyTorch（机器学习库）, 大型语言建模, 生成式对抗网络（GANs）, 数据预处理, 生成式人工智能, 自然语言处理, 生成模型架构, 递归神经网络 (RNN)
您将获得的技能: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls
您将获得的技能: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, Large Language Modeling, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, Technical Management, OpenAI API, Data Ethics, AI Enablement, Trend Analysis, Real Time Data, Business Strategy, Python Programming
您将获得的技能: Data Flow Diagrams (DFDs), Cloud Deployment, Model Deployment, Information Privacy, MLOps (Machine Learning Operations), Application Programming Interface (API), AI Product Strategy, Analysis, Data Pipelines, Feature Engineering, Performance Analysis
Coursera
您将获得的技能: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming, Pandas (Python Package)
总之，以下是 10 最受欢迎的 llm 申请 课程
- LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
- LLM Optimization & Evaluation: Coursera
- Designing Production LLM Architectures: Coursera
- Building LLM Powered Applications: Packt
- LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG: Edureka
- Generate Insights with LLMs: Coursera
- Large Language Model Operations (LLMOps): Duke University
- 生成式人工智能和 LLM：架构和数据准备: IBM
- Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
- Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera
