4.8 (12)
7 Weeks
·Cohort-based Course
Design, develop, deploy, and demo an LLM agent application in 7 weeks!
4.8 (12)
7 Weeks
·Cohort-based Course
Design, develop, deploy, and demo an LLM agent application in 7 weeks!
OUR STUDENTS CAME FROM
Course overview
🟢 WHAT WILL I BE ABLE TO BUILD IN THIS COURSE?
You’ll build a functional application powered by LLM agents to automate a workflow of your choice. Along the way, you'll learn to design agent workflows, and integrate required tools. By the end of the course, you'll have a working MVP ready to showcase in a public demo.
You can see this playlist for examples of what previous students built: https://tinyurl.com/llm-agent-demos
🟢 HOW WILL YOU HELP ME BUILD APPS LIKE THESE IN JUST 7 WEEKS?
This course is all about learning by doing. You do a real project, applying concepts you learn about AI agents with our expert guidance. Specifically:
👨🏽🏫 1:1 sessions with the instructors to help you think through bigger picture questions
👨🎓 Async and sync sessions with a dedicated TA for constant support, code reviews, and real-time feedback
To help you prepare, we have also curated 70+ hours of content, a "Learning Path" covering everything from product design and coding fundamentals to advanced LLM engineering concepts that you can consume at your own pace, as soon as you sign up. (see the next question for details)
🟢 OK! THAT DOES SOUND FUN, BUT HOW DO I KNOW IF I HAVE THE RRE-REQUISITES AND I'M READY FOR BUILDING?
That's the most common question we get!
The "Learning Path" we have curated should also give you a good sense of what knowledge we assume as pre-reqs. You should get started on that and then sign up for the course as soon as you feel you are ready:
https://maven.com/p/bafd83/llm-agents-learning-path
🟢 I SEE! SO, I'LL DO MY PREP BEFOREHAND, THEN WHAT SHOULD I EXPECT TO HAPPEN DURING?
Think about it like this (since we're developing a product here, eh?): This is a 3-sprint product dev + 1 week of prep for the public demo.
🖌️ SPRINT 1 - DESIGN (weeks 1 & 2)
🔨 SPRINT 2 - DEVELOP (weeks 3 & 4)
🚢 SPRINT 3 - DEPLOY (weeks 5 & 6)
🎭 PUBLIC DEMO (week 7)
In each sprint, you communicate your progress or blockers on Slack, you collaborate on your designs / code on GitHub, you show up to provide weekly project updates and get feedback, and finally you do an end of sprint demo.
🟢 OK! HOW WOULD I KNOW IF I'M MOVING IN THE RIGHT DIRECTION?
You will get feedback async via Slack and other platforms we use, and also you join weekly group office hours, and when you need you can book the teaching staff for a 20 min 1:1 call.
In addition, each sprint will wrap up with a "sprint demo" where you can show what you've done up to that point, and your peers and the teaching staff will provide feedback. We also will invite guest experts for each of the demos to provide additional feedback:
🖌️ SPRINT 1 - Sr. AI Product Experts
🔨 SPRINT 2 - Sr. ML Engineers
🚢 SPRINT 3 - Sr. MLOps Engineers
🎭 PUBLIC DEMO - Investors, Experienced Founders, Corporate Directors
🟢 WHAT IF I DON'T HAVE A PROJECT IDEA?
We will have a default project (most probably related to automating data science work) that you can participate in. If your goal is to better internalize the concepts rather than working on a specific idea, you can join that project. We commonly see that people re-take the course in the future to further develop specific ideas they have, and focus on building the foundations the first time they take the course.
🟢 COOL! I'M EXCITED TO GET STARTED, AND A DISCOUNT WOULD REALLY SWEETEN THE DEAL!
Glad to hear that! There are a few options:
🧑🏿🤝🧑🏼 You can find a buddy or colleague and sign up together. (20% off 2-9 seats | 25% off 10+ seats)
✴️ We often share discount codes with communities (including AISC members - reach out to community@ai.science if you're not part of our slack). So, check in with the communities you are part of.
📆 We regularly hold events and info sessions where we share flash sales discounts valid for a day or two. Join the mailing list on this page to receive notifications about those.
01
You want to build an agentic MVP to demonstrate your skills for career progression purposes.
02
You want to build an agentic MVP to test the feasibility of your startup idea.
03
You want to build an agentic MVP to explore the new feature you want to add to your existing product
Understand the core principles of multi-agent LLM systems
Grasp how multiple LLMs can collaborate with each other, get feedback from or assign tasks to humans, ad use tools to tackle complex problems
Integrate LLMs with existing product offerings to enhance user and customer experience
Bridge the gap by crafting strategies to seamlessly integrate LLMs with existing products, boosting user experience, productivity, and business metrics.
Understand key considerations for securing, robust, and reliable LLM systems
Learn what it takes to build robust multi-agent LLMs. Understand security best practices and ensure system reliability.
42 interactive live sessions
Lifetime access to course materials
In-depth lessons
Direct access to instructor
1 projects to apply learning
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Build Multi-Agent Applications - A Bootcamp
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4.8 (12 ratings)
LLM AGENTS - Learning Path
Are you interested in building LLM Agent Products, but unsure where to begin, or if you have the necessary background knowledge? We have curated this learning path using 70+ hours of (mostly) free resources that you can use to:
After entering your email, use this password: 1g3ntspath
Contact maven@ai.science if you have any issues with this resource.
Get this free resource
10 yrs in NLP, Founder of AISC - Community of 5k AI devs and founders
Amir is the founder of Aggregate Intellect, helping clients leverage LLM systems to augment their business workflows. Prior to this, Amir was an AI Product Lead at Royal Bank of Canada and built a document processing platform used by internal lines of business. Amir held a research position at University of Oxford conducting experiments on quantum computing resulting in high profile publications and patents. Amir holds a PhD in Physics from University of Toronto. Amir has also founded and grown a global community of 5000+ engineers, researchers, and founders gathered around topics in natural language processing.
Abhimanyu has 7+ years of experience building AI products and applications across diverse industries—from large-scale internet platforms to metals & mining and e-commerce.
Currently, he leads the development of recommender systems and NLP-driven applications at Wattpad, delivering personalized content experiences to millions of users.
In addition, Abhimanyu consults with companies, helping them design and implement Generative AI solutions.
In this course, he'll draw on his practical experience to support you in designing, building, and deploying agentic applications.
Join an upcoming cohort
Cohort-2501
$700
Dates
Payment Deadline
4-8 hours per week
Thursdays & Sundays
12:00pm - 1:00pm EST
We will have group discussions and guests lecturers on Thursdays, and project office hours on Sundays.
Jan. 13, 2025 - Mar. 1, 2025
Course will run for 7 weeks in January and February. You will have access to reading / watching material, instructor, and hands-on teaching assistants.
Weekly projects
2-4 hours per week
There will be a project that you will do alongside the course material with weekly milestones.
Sign up to be the first to know about course updates.