Starweaver
GenAI Data and Analytics Academy 专项课程
Starweaver

GenAI Data and Analytics Academy 专项课程

GenAI Data and Analytics Academy. Master GenAI, LLMs & Agents: From Data Pipelines to Model Deployment at Scale

Starweaver
Ritesh Vajariya

位教师:Starweaver

包含在 Coursera Plus

深入学习学科知识
中级 等级

推荐体验

4 周 完成
在 4 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
中级 等级

推荐体验

4 周 完成
在 4 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Design and implement comprehensive data pipelines for GenAI applications.

  • Develop and deploy autonomous AI agents and multi-agent systems.

  • Analyze prompt engineering and chain management for LLMs.

  • Build production-ready GenAI applications with monitoring and safety systems.

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言:英语(English)
最近已更新!

September 2025

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精进特定领域的专业知识

  • 向大学和行业专家学习热门技能
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  • 培养对关键概念的深入理解
  • 通过 Starweaver 获得职业证书

专业化 - 4门课程系列

您将学到什么

  • Master GenAI foundational concepts and LLM integration strategies for building scalable enterprise applications.

  • Construct advanced prompt engineering workflows with multi-step chains and context optimization.

  • Implement enterprise GenAI use cases with systematic design and ROI measurement frameworks.

  • Develop production-ready conversation systems with template engines and quality assurance protocols.

您将获得的技能

类别:Generative AI
类别:Prompt Engineering
类别:Prompt Patterns
类别:Application Programming Interface (API)
类别:Application Design
类别:Large Language Modeling
类别:Enterprise Application Management
类别:Process Optimization
类别:Business Metrics
类别:Performance Tuning
类别:Development Environment
类别:Debugging
类别:Systems Architecture
类别:Program Evaluation
类别:Generative AI Agents
类别:ChatGPT
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:LLM Application

您将学到什么

  • Construct enterprise-grade data processing pipelines with quality validation and AI-ready formatting.

  • Implement sophisticated RAG architectures with vector search, embeddings, and context management.

  • Deploy advanced RAG optimization techniques including reranking, metadata filtering, and adaptive strategies.

  • Develop specialized customer support RAG systems with context-aware personalization and performance tracking.

您将获得的技能

类别:Generative AI
类别:Data Quality
类别:Data Pipelines
类别:Data Processing
类别:Enterprise Architecture
类别:Talent Pipelining
类别:AI Personalization
类别:Data Architecture
类别:Query Languages
类别:Continuous Monitoring
类别:Process Optimization
类别:LLM Application
类别:Scalability
类别:Prompt Engineering
类别:Semantic Web
类别:Database Systems
类别:Extract, Transform, Load
类别:Engineering
类别:System Monitoring
类别:Performance Tuning

您将学到什么

  • Construct autonomous AI agents with CrewAI framework, tool integration, and decision-making capabilities.

  • Implement sophisticated multi-agent coordination systems with communication protocols and task delegation.

  • Deploy specialized customer support agents with knowledge base integration and escalation management.

  • Apply agent safety frameworks and testing protocols for reliable production deployment.

您将获得的技能

类别:Generative AI Agents
类别:Scalability
类别:Software Architecture
类别:Large Language Modeling
类别:LLM Application
类别:Generative AI
类别:Job Evaluation
类别:OpenAI
类别:Application Deployment
类别:Prompt Patterns
类别:LangChain
类别:Responsible AI
类别:Artificial Intelligence
类别:Logical Reasoning
类别:Collaboration
类别:Agentic systems
类别:Data Integration
类别:Tool Calling
类别:System Design and Implementation

您将学到什么

  • Execute advanced fine-tuning workflows including LoRA optimization and domain-specific model customization.

  • Implement enterprise-scale deployment strategies with containerization, monitoring, and infrastructure automation.

  • Construct comprehensive production monitoring and maintenance protocols with automated alerting and performance tracking.

  • Apply advanced optimization techniques including caching, edge deployment, hybrid routing, and emerging technology adoption strategies.

您将获得的技能

类别:Performance Tuning
类别:Scalability
类别:Cloud Infrastructure
类别:MLOps (Machine Learning Operations)
类别:Kubernetes
类别:Site Reliability Engineering
类别:Application Deployment
类别:Generative AI
类别:Continuous Monitoring
类别:Automation
类别:Job Evaluation
类别:Containerization
类别:Enterprise Architecture
类别:Docker (Software)
类别:Process Optimization
类别:Technology Strategies
类别:Infrastructure Architecture
类别:Large Language Modeling
类别:Continuous Deployment
类别:Prompt Engineering

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位教师

Starweaver
Starweaver
446 门课程821,337 名学生

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Starweaver

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