Every day, companies waste thousands of dollars on poorly deployed LLM applications—experiencing downtime, security breaches, and runaway costs that could have been prevented. This comprehensive course teaches you to build automated CI/CD pipelines specifically designed for LLM applications, implement enterprise-grade security controls, and optimize for scale and cost. Through hands-on labs based on real-world scenarios, you'll work with Docker, Kubernetes, Terraform, and cloud platforms to build production-ready systems. Each module includes practical exercises where you'll solve actual deployment challenges faced by companies scaling LLM applications.
Automate & Secure LLM Deployments
Enjoy unlimited growth with a year of Coursera Plus for $199 (regularly $399). Save now.
Automate & Secure LLM Deployments
This course is part of Build Next-Gen LLM Apps with LangChain & LangGraph Specialization
Instructors: Starweaver
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Design automated CI/CD pipelines for LLM deployments using containerization and infrastructure as code.
Apply security best practices including API protection, prompt injection prevention, and compliance frameworks.
Configure production monitoring, auto-scaling, and cost optimization for enterprise LLM systems.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
December 2025
Assessments
1 assignment
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Build Next-Gen LLM Apps with LangChain & LangGraph Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 3 modules in this course
Build automated CI/CD pipelines for LLM applications using GitHub Actions, Docker containerization, and blue-green deployment strategies. You'll configure workflows that automatically build container images, scan them for vulnerabilities, and deploy them with zero downtime. Through hands-on practice, you'll transform manual deployment processes into reliable automation that builds, scans, pushes, and blue-green deploys LLM applications to production environments.
What's included
4 videos2 readings1 peer review
Implement comprehensive security controls for production LLM APIs using identity and access management, secret management, and automated security scanning. You'll configure least-privilege IAM roles, set up secure secret ARNs for API keys and credentials, and run Trivy scans to confirm zero critical security findings. The module covers LLM-specific security concerns including prompt injection prevention, rate limiting, and audit logging for compliance requirements
What's included
3 videos1 reading1 peer review
Ensure production reliability and cost efficiency by implementing comprehensive monitoring, automated rollback strategies, and cost optimization techniques for LLM systems. You'll create CloudWatch alarms to track critical metrics, simulate latency spikes to verify automated rollback rules, and configure auto-scaling policies that handle traffic variations. The module also covers cost optimization strategies including response caching, intelligent model routing, and resource management to reduce operational expenses
What's included
4 videos1 reading1 assignment2 peer reviews
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Offered by
Explore more from Software Development
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,