Generative AI in Deployment Training
Key Takeaways
Deploys Generative AI using GitHub Copilot, Jenkins, Docker, and Terraform for automated software deployment
Original Description
This beginner-friendly course explores how Generative AI is reshaping software deployment across planning, architecture, automation, and finalization stages. Learn to automate requirement gathering, tech stack selection, deployment design, and Infrastructure as Code using tools like GitHub Copilot, Jenkins, Docker, and Terraform. Discover how AI simplifies EC2 setup, Kubernetes configuration, pipeline creation, and release note generation through hands-on demos and real-world examples. Gain practical skills to streamline and scale deployments with AI-powered automation.
Basic understanding of software deployment or DevOps practices is recommended.
By the end of this course, you will be able to:
- Use GenAI to automate requirements, architecture, and IaC tasks
- Select tech stacks and design deployment workflows using AI tools
- Generate scripts for Terraform, Docker, Jenkins, and Kubernetes
- Automate EC2 deployment and generate release notes with GenAI
- Apply real-world demos using GitHub Copilot and streamline DevOps processes
Ideal for developers, DevOps professionals, and tech teams enhancing deployment with AI.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: AI Workflow Automation
View skill →Related Reads
📰
📰
📰
📰
Deploying and Configuring Apache on a RHEL/CentOS Server
Medium · DevOps
Put a Deterministic Gate Between Generated Code and Main
Dev.to · kongkong
How to Put a Local Service on the Public Internet with FRP (Without Losing Your Mind Over Config Files)
Dev.to · ChenXX
Four GitHub Actions cron timing bugs that silently broke my daily pipelines
Dev.to · MORINAGA
🎓
Tutor Explanation
DeepCamp AI