Mastering LangChain for RAG Applications
- Building RAG-powered LLM applications is nuanced. Learn from experts who build scalable, real-world LLM applications.
- Live instructor-led learning
- Comprehensive and hands-on - 100+ LangChain coding exercises
- LLM token costs and subscriptions included
- Personalized coding sandboxes with dedicated compute and storage
- Model customization with RAG and fine turning
- Teaching assistants, cohort-discussion forum and alumni network
- Verified certificate from University of New Mexico Continuing Education
Who is this course for?
LangChain is one of the most popular frameworks that makes it integration and working with large language models easy.
This is the most comprehensive course on LangChain in industry.
Product Leaders
Curriculum
Learn the theory and practice in this in-depth LangChain, taught by practitioners who have built multiple LLM products.
Model I/O
Retrieval
Chains
Memory
Agents
LangSmith and LangGraph
Keep on learning
Keep learning with exclusive learning resources, discussions, coding exercises and dedicated coding sandboxes.
Just bring a laptop
Practice with 100+ LangChain code samples in browser-based Jupyter notebooks.
Never lose your work
Every attendee gets a dedicated compute and storage pre-configured with relevant libraries and packages.
100s of code samples
In addition to the in-class exercises, attendees receive LangChain Python code samples that have been pre-tested.
No subscriptions needed
All software licenses, subscriptions, tools, and computing resources are included. For Guru package, LLM API keys are also included.
Collaborate with peers
Get help from course staff, share ideas and collaborate with your peers on the dedicated cohort Discord channel.
Bonus free courses
Dozens of other short courses and coding exercises are included.
Exclusive alumni community
Join the exclusive community of 11,000+ alumni globally. Dicuss, collaborate, and expand your network.
In collaboration with
We have partnered with some of the foremost names in industry to bring this course to you.
Customers reviews
Dojo
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Live Instuctor-led training
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Direct access to instructor
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25+ hands-on coding exercises
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Online coding sandboxes
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Access to private community of learners
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Restricted access to learning platform
Guru
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Everything in Dojo plus
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Verified certificate with 1 CEU
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100+ hands-on coding exercises
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Bonus learning material
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Recording of live sessions
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Online coding sandboxes
Earn a verified Certificate
Earn a verified certificate from The University of New Mexico Continuing Education:
- 1 Continuing Education Credit (CEU)
- Acceptable by employers for reimbursements
- Valid for professional licensing renewal
- Verifiable by The University of New Mexico Registrar’s office
- Add to LinkedIn and share with your network
Frequently Asked Questions
Are there any pre-requisites for this course?
Yes. You should be comfortable with Python programming. Basic understanding of large language models is strongly recommended.
What happens if I can’t make it to the live session?
No worries. All sessions are recorded and made available for you to view in the learning platform.
I work full-time, what is the time commitment?
The live session is 8 hours. You can learn at your own pace afterward.
How long will I have access to the course?
All Guru package registrations receive a 12-month access to the learning platform.
Do I need to install any software or get any subscriptions?
Any software licenses, tools, and computing resources are included in the registration fee. Guru package includes API keys for LLM usage.
Will I get a certificate?
Yes. Additionally, Guru package includes a verified certificate with 1 Continuing Education Credit. A transcript can be requested from the University of New Mexico registrar’s office.
What is the course duration?
The live instructor-led sessions are 8 hours long. There is a lot more learning material available before and after the live session.
Are the sessions interactive?
Yes. We encourage learners to bring a lot of questions. We also have dedicated class forum and teaching assistants who can answer questions outside of the live sessions.
Instructors will ensure that all questions are addressed promptly
What is the refund policy?
You can request a full refund at least three business days before the start date of the training.