Coursera

GenAI Ops: Running Powerful Generative AI Systems 专业证书

Coursera

GenAI Ops: Running Powerful Generative AI Systems 专业证书

Learn Enterprise GenAI Operations at Scale.

Build, deploy, secure, and optimize production AI systems for enterprise success.

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在 10 小时 一周
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推荐体验

2 月 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Optimize GenAI performance with governance frameworks, ensemble models, and automated testing for reliable user operations

  • Deploy and maintain production AI systems using MLOps best practices, infrastructure automation, and observability frameworks to ensure 99.9% uptime

  • Architect scalable multi-cloud infrastructure with cost optimization, automation, and resilient microservices supporting enterprise AI workloads

  • Implement zero-trust security with automated compliance enforcement and regulatory validation for enterprise AI

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授课语言:英语(English)
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专业认证 - 6门课程系列

Optimizing and Governing AI Systems

Optimizing and Governing AI Systems

第 1 门课程 13小时

您将学到什么

  • Build monitoring systems and governance frameworks to ensure AI reliability, fairness, and ethical compliance across production environments.

  • Evaluate model architectures using statistical testing and create ensemble systems that combine algorithms for superior performance.

  • Automate ML experimentation workflows to track hypotheses, validate model updates through A/B testing, and measure business impact systematically.

您将获得的技能

类别:AI Product Strategy
类别:Risk Management
类别:AI Enablement
类别:Statistical Analysis
类别:Data Ethics
类别:Responsible AI
类别:System Monitoring
类别:Model Evaluation
类别:Prompt Engineering
类别:Risking
类别:Compliance Management
类别:Data-Driven Decision-Making
类别:Model Deployment
类别:Machine Learning
类别:Technology Roadmaps
类别:Generative AI
类别:Performance Tuning
类别:Performance Analysis
类别:Cross-Functional Collaboration
类别:MLOps (Machine Learning Operations)

您将学到什么

  • Build deployment orchestration workflows with canary releases, automated rollbacks, and dependency analysis to prevent production failures.

  • Automate ML model lifecycle management using CI/CD pipelines with governance compliance checks and drift-triggered retraining mechanisms.

  • Implement system validation and performance optimization frameworks that analyze deployment dependencies, benchmark targets, and correlate metrics.

  • Design observability systems that monitor GenAI performance using integrated dashboards, alert tuning, and distributed tracing across logs.

您将获得的技能

类别:Release Management
类别:System Monitoring
类别:Data-Driven Decision-Making
类别:Cloud Platforms
类别:Automation
类别:Kubernetes
类别:Performance Tuning
类别:Application Deployment
类别:Application Performance Management
类别:MLOps (Machine Learning Operations)
类别:Responsible AI
类别:Generative AI
类别:Continuous Deployment
类别:Site Reliability Engineering
类别:Performance Analysis
类别:Continuous Monitoring
类别:CI/CD
类别:Dependency Analysis
类别:Model Deployment
类别:Dashboard

您将学到什么

  • Design multi-cloud AI architectures with automated scaling, failover capabilities, and comprehensive security and observability frameworks.

  • Build resilient microservices using dependency analysis, RED metrics optimization, and standardized templates for operational consistency.

  • Automate cloud cost optimization and governance enforcement through usage analytics, policy evaluation, and intelligent compliance scripts.

  • Create operational excellence frameworks with monitoring, incident response, and continuous improvement practices for reliable AI service delivery.

您将获得的技能

类别:Data Pipelines
类别:Cost Management
类别:CI/CD
类别:Governance
类别:Cloud Computing Architecture
类别:Multi-Cloud
类别:Cloud Infrastructure
类别:Generative AI
类别:Cloud Deployment
类别:Enterprise Architecture
类别:Microservices
类别:Systems Architecture
类别:Infrastructure as Code (IaC)
类别:Application Performance Management
类别:Infrastructure Architecture
类别:Scalability
类别:Terraform
类别:Security Controls
类别:Data Architecture
类别:Site Reliability Engineering
Securing AI Data and Applications

Securing AI Data and Applications

第 4 门课程 13小时

您将学到什么

  • Analyze data access patterns and security incidents to design role-based controls that balance AI innovation with governance requirements

  • Create zero-trust architectures and infrastructure-as-code policies that prevent breaches through continuous verification and automated enforcement

  • Evaluate application security postures using threat modeling, penetration testing, and dependency analysis to prioritize remediation efforts

  • Assess cloud security controls against industry frameworks like NIST, SOC 2, and compliance requirements for regulatory readiness

您将获得的技能

类别:Cloud Security
类别:Secure Coding
类别:Vulnerability Management
类别:Cyber Security Policies
类别:Role-Based Access Control (RBAC)
类别:Threat Modeling
类别:AI Security
类别:Data Governance
类别:Identity and Access Management
类别:Security Requirements Analysis
类别:Infrastructure as Code (IaC)
类别:Security Controls
类别:Security Engineering
类别:Zero Trust Network Access
类别:Compliance Management
类别:DevSecOps
类别:Data Quality
类别:Application Security
类别:Data Security

您将学到什么

  • Automate AI system maintenance using strategic patching, MTTR analysis, and self-healing playbooks that ensure 99.9% uptime

  • Optimize cloud costs through resource utilization analysis, pricing strategies, and predictive models for budget planning

  • Implement automated data governance with metadata analysis, GDPR compliance, and standardized onboarding workflows

  • Coordinate cross-functional operations combining security, development, and finance teams for sustainable AI systems

您将获得的技能

类别:Incident Management
类别:AI Security
类别:Data Governance
类别:Financial Management
类别:Cloud Management
类别:Ansible
类别:Cost Management
类别:Predictive Modeling
类别:Metadata Management
类别:Budgeting
类别:Cost Reduction
类别:Site Reliability Engineering
类别:Financial Forecasting
类别:Data Management
类别:MLOps (Machine Learning Operations)
类别:IT Automation
类别:Compliance Management
类别:Operations
类别:System Monitoring
类别:Patch Management
Career Development for GenAI Ops

Career Development for GenAI Ops

第 6 门课程 1小时

您将学到什么

  • Position yourself in high-value specialist lanes with quantified value propositions for $120K-$160K roles

  • Build executive-ready portfolios with strategic artifacts demonstrating systems thinking through architecture decisions and crisis playbooks

  • Execute leadership interviews using frameworks for architecture defense, crisis management, and stakeholder resolution with business impact focus

您将获得的技能

类别:Machine Learning
类别:Executive Presence
类别:Personal Development
类别:Cloud Computing
类别:Value Propositions
类别:Generative AI
类别:Business Communication
类别:Emotional Intelligence
类别:Stakeholder Management
类别:Professional Development
类别:Technical Management
类别:Communication
类别:Operational Excellence
类别:Strategic Thinking
类别:Leadership and Management
类别:Business Leadership
类别:AI Enablement
类别:Risk Management

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