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Large language models course is designed for anyone interested in getting started with large language models and generative AI without all the math and programming.
Product managers and leaders, startup founders, software developers, consultants, legal professionals, doctors, journalists, compliance officers, business executives can attend.
A lay-person’s overview of how generative AI and large language models work, common terminologies, risks and challenges.
Understand how machines see and read. Intuitive understanding of the foundations of machine learning, AI and generative AI.
An introduction to how images, text, audio and video are converted into vectors.
Understanding how embeddings are stored, optimized and retrieved using vector databases.
Understand how generative AI and large language models work. An intuitive overview minus all the math and programming.
Understanding prompt engineering and the role prompt engineering plays in getting the most out of large language models.
RAG is one of the most popular paradigms for LLM applications. Understand the rationale for RAG, how it is implemented and why it is so popular.
Understand fine tuning and how it is different from RAG. Discuss when RAG or fine tuning may be the right choice for building LLM applications.
Discuss the risks and challenges in adoption of large language models for enterprise. Learn about RLHF, prompt hacking/jailbreaking, guardrails, AI and data governance.
Overview of a canonical enterprise LLM application architecture and all the moving parts.
This large language models course is not technical, but we have included a lot of resources, just in case.
Access hundreds of coding exercises, sandboxes, free tutorials and other bonus learning material.
Watch tutorials or practice coding in browser-based Jupyter notebooks and inline code runners. We call our learning platform a complete learning ecosystem.
Every attendee gets a dedicated compute and storage pre-configured with relevant libraries and packages.
In addition to the in-class exercises, attendees receive Python and R code samples that have been pre-tested.
All software licenses, subscriptions, tools, and computing resources are included. For Guru package, LLM API keys are also included.
Get help from course staff, share ideas and discuss with your peers.
Dozens of other short courses and coding exercises are included in the registration.
Join the exclusive community of 11,000+ alumni globally. Dicuss, collaborate, and expand your network.
We have partnered with some of the foremost names in industry to bring this course to you.
Future proof your career
Learn basics of LLM from leading experts in industry.
September Cohort
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Earn a verified certificate from The University of New Mexico Continuing Education:
No. The course is designed for all backgrounds and industries.
No worries. All sessions are recorded and made available for you to view in the learning platform.
The live session is 4 hours. You can learn at your own pace afterward.
All Guru package registrations receive a 12-month access to the learning platform.
Any software licenses, tools, and computing resources are included in the registration fee. Guru package includes API keys for LLM usage.
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.
The live instructor-led sessions are 4 hours long. There is a lot more learning material available before and after the live session.
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
You can request a full refund at least three business days before the start date of the training.
Please reach out to us for any questions about curriculum, registration, or requesting an invoice.
