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LLM Ops - Large Language Models in Production
4.9 (23)
4 Weeks
·Cohort-based Course
Cohort 1 has been open-sourced @ bit.ly/llmops1 LLM Ops has expanded into The AI Engineering Bootcamp @ bit.ly/AIEbootcamp
LLM Ops - Large Language Models in Production
4.9 (23)
4 Weeks
·Cohort-based Course
Cohort 1 has been open-sourced @ bit.ly/llmops1 LLM Ops has expanded into The AI Engineering Bootcamp @ bit.ly/AIEbootcamp
Course overview
Become the AI Engineer that every company needs
Future-proof your career with AI engineering. Design, assemble, and operate production LLM applications with industry-standard tools.
Data science and ML skills that were relevant just a few years ago are being outpaced by AI. It is now possible to build what used to take months in a single day!
This course is designed to help you think at the right level of abstraction about AI, and to write code that will help you prototype and ship production LLM applications at the leading edge.
Who is this course for
01
Advanced developers with an understanding of fundamental ML concepts and the product development process
02
Experienced data scientists or machine learning engineers who want to build production LLM applications
03
Software engineers who want to get up to speed on Generative AI and explore new career opportunities
What you’ll get out of this course
Engineer LLM apps from scratch with Python and using LLM Ops frameworks including LangChain and LlamaIndex
Build, deploy, evaluate, and improve production Retrieval Augmented Generation (RAG) Question Answering systems
Master key LLM product development techniques like prompt engineering for retrieval, caching, and versioning
Learn to leverage Agents across LLM Ops frameworks using Reasoning-Action (ReAct) logic
Work with other talented builders to bring your LLM project or startup idea to life
What’s included
Live sessions
Learn directly from Dr. Greg Loughnane & Chris "The LLM Wizard 🪄" Alexiuk in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
LLM Ops - Large Language Models in Production
Course syllabus
15 lessons • 7 projects
Week 1
🧑💻 Building Large Language Model Applications in Pure Python
Session 1: Intro to LLM Ops
Session 2: Retrieval Augmented Generation (RAG) 101
Week 2
Session 3: Intro to LangChain
Session 4: Evaluation of RAG Applications
Week 3
Session 5: Deploying Open-Source RAG Applications to Production
Session 6: Intro to LlamaIndex
Week 4
Session 7: Agents
Session 8: Demo Day and Graduation!
4.9 (23 ratings)
What students are saying
LLM Application Learning Outcomes
Scores represent students self-reported abilities before and after taking the course (n=27)!
Prerequisite
📅 Detailed Schedule!
Understand how everything comes together in the course to provide a holistic overview of the LLM Ops space. Get all the details about the assignments and tool stacks!
Send me the deets ✌️
What people are saying
Pano Evangeliou, M.Sc.
Yi Lin
Juan Olano
Dr. Todd Deshane
Meet your instructors
Dr. Greg Loughnane
Founder & CEO @ AI Makerspace
I've worked as an AI product manager, university professor, data science consultant, AI startup advisor, and ML researcher; TEDx & keynote speaker, lecturing since 2013.
From 2021-2023 I worked at FourthBrain (Backed by Andrew Ng's AI Fund) to build industry-leading online bootcamps in ML Engineering and ML Operations (MLOps):
🔗 Resources links: Deeplearning.ai demos, AI Makerspace demos, LinkedIn, Twitter, YouTube, Blog.
Chris "The LLM Wizard 🪄" Alexiuk
Co-Founder & CTO @ AI Makerspace
I'm currently working as the Founding Machine Learning Engineer at Ox - but in my off time you can find me creating content for Machine Learning: either for the AI Makerspace, FourthBrain, or my YouTube Channel!
My motto is "Build, build, build!", and I'm excited to get building with all of you!
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LLM Ops - Large Language Models in Production
Course schedule
10 hours/week
Class!
Tuesdays & Thursdays, 4:00-6:00pm PT
- Nov 28th, 30th
- Dec 5th, Dec 7th
- Dec 12th, Dec 14th
- Dec 19th, Dec 21st
* All sessions will be recorded for your viewing pleasure!
Programming Assignments
2-4 hours per week
Each class period, we will get hands-on with Python coding homework!
LLM Ops Hack Week
Mon, Dec 18 | Wed Dec 20th | 3-6 PM PT
- Monday: Team formation, project ideation, storytelling workshop, system diagram presentation
- Wednesday: Build 🏗️, ship 🚢, and share 🚀 a RAG system with at least the following components: caching, evaluation, visibility
LLM Ops Demo Day
Thursday, December 21 at 4:00 PM PT
- Open to the pubic - Friends, family, coworkers and bosses welcome!
Office Hours
Tuesdays and Fridays
- Greg Loughnane: Mondays @ 8 AM PT
- Chris Alexiuk: Fridays @ 3 PM PT
Build. Ship. Share.
Get hands-on with code, every class
We're here to teach concepts plus code. Never one or the other.
Pair programming made fun and easy
Grow your network. Build together. Feel the difference that expert facilitation makes.
Meet your accountability buddies
Join a community of doers, aimed in the same career direction as you are.
Frequently Asked Questions
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