This course advances your skills from building working LLM prototypes to scaling, integrating, and deploying production-grade AI systems. You’ll blend system-level concepts with hands-on engineering to profile performance, integrate real-time data and multimodal sources, and ship secure, cloud-deployed applications.
Optimizing and Deploying LLM Systems
Get a Black Friday boost with $160 off 10,000+ programs.Save now.
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Build NLP workflows using transformer models and Hugging Face tools.
Implement RAG systems with LangChain, vector stores, and document loaders.
Create and manage multi-agent pipelines with tools and external APIs.
Deploy LLM apps with FastAPI, Docker, monitoring, and cloud platforms.
Skills you'll gain
- Authentications
- CI/CD
- Application Deployment
- Artificial Intelligence
- LangChain
- Prompt Engineering
- Amazon Web Services
- Continuous Integration
- OAuth
- Performance Analysis
- Performance Tuning
- Restful API
- LLM Application
- Postman API Platform
- Continuous Deployment
- LangGraph
- Application Programming Interface (API)
- OpenAI
- Containerization
- Large Language Modeling
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
13 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
There are 4 modules in this course
Learn to optimize LLM applications for efficiency, scalability, and performance. This module covers latency profiling, prompt optimization, and caching strategies for faster inference. Master cost control, evaluation frameworks, and performance-tuned pipeline design for production-ready systems.
What's included
11 videos5 readings4 assignments1 discussion prompt
Master integration of diverse data sources within LLM-powered systems. This module covers API-driven workflows, secure automation, and hybrid data pipelines. Learn to use LlamaIndex and LangGraph to build intelligent, context-aware retrieval and reasoning systems.
What's included
9 videos4 readings4 assignments
Gain practical skills in deploying and managing LLM systems at scale. This module covers API service design, containerization, and cloud deployment with security and monitoring. Complete a capstone project to deliver a fully deployed, automated, and scalable LLM application.
What's included
13 videos3 readings4 assignments
Conclude your learning journey with a hands-on final project and assessment. This module reinforces key concepts in LLM optimization, integration, and deployment. Reflect on your progress and prepare for advanced, real-world LLM system development.
What's included
1 video1 reading1 assignment1 discussion prompt
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."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Basic knowledge of Python, APIs, and machine learning.
LLM optimization, API integration, data orchestration, and deployment.
Around 4–6 weeks across three main modules.
More questions
Financial aid available,