Generative AI for Cloud Engineers By Edcorner Learning
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Generative AI for Cloud Engineers · Program
About this program
Generative AI for Cloud Engineers
Online Course
Learning format
Generative AI
Subcategory
English
Course language
$19.99
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in Generative AI for Cloud Engineers
- Understand the fundamentals, capabilities, and limitations of Generative AI in the context of cloud computing
- Gain access to 1000+ prompts specifically tailored for cloud automation, cost management, security, and troubleshooting
- Analyze the evolution of AI in cloud environments and how it is reshaping traditional automation workflows
- Distinguish between conventional scripting/automation and GenAI-driven infrastructure generation
- Evaluate and integrate leading GenAI platforms (OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, Azure OpenAI) into real-world cloud operations
- Learn how to authenticate, consume, and manage Generative AI APIs across multiple providers with best practices
- Compare LLMs and diffusion models and their application in cloud tasks like provisioning, documentation, and monitoring
- Engineer effective prompts for generating Infrastructure-as-Code (IaC) using Terraform, CloudFormation, and Pulumi
- Automatically generate Kubernetes YAMLs, Helm Charts, and CI/CD pipeline code using GenAI tools
- Use GenAI for VM right-sizing, resource planning, and predictive scaling to optimize cost and performance
- Detect anomalies, summarize logs and metrics, and generate RCA documents and incident reports using natural language prompts
- Implement GenAI-driven threat detection, IAM policy generation, and audit log analysis
- Secure your GenAI usage through best practices including prompt injection prevention, encryption, and key rotation
- Create GitOps and DevOps workflows powered by LLMs, including deployment scripts and rollback logic
- Build self-healing cloud environments with prompt-driven agents and LLM-integrated monitoring tools
- Use GenAI to auto-generate serverless functions, microservices skeletons, and API documentation
- Integrate Generative AI into CI/CD systems (GitHub Actions, GitLab CI, Jenkins) for automation and validation
- Develop AI-powered ChatOps assistants for Slack or Teams to manage cloud resources using natural language
- Conduct hands-on labs to build real-world projects using GenAI across AWS, Azure, and GCP environments
- Become capable of leading GenAI initiatives in cloud engineering, platform automation, and cloud-native DevOps transformation
What's Included in Generative AI for Cloud Engineers
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