Large Language Models for Everyone
- A gentle introduction to generative AI and LLMs and:
- How LLM applications like Chat GPT and Bard work
- Rationale for prompt engineering
- How machines understand language with embeddings
- Model customization with RAG and fine turning
- Risks, challenges and guardrails.
- Bonus resources for continued learning
No technical skills required
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.
Curriculum
A lay-person’s overview of how generative AI and large language models work, common terminologies, risks and challenges.
Fundamentals
Understand how machines see and read. Intuitive understanding of the foundations of machine learning, AI and generative AI.
Embeddings
An introduction to how images, text, audio and video are converted into vectors.
Vector Databases
Understanding how embeddings are stored, optimized and retrieved using vector databases.
Mechanics of Generative AI
Understand how generative AI and large language models work. An intuitive overview minus all the math and programming.
Prompt Engineering
Understanding prompt engineering and the role prompt engineering plays in getting the most out of large language models.
Retrieval-Augmented Generation
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.
Fine-Tuning
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.
Risks and Challenges
Discuss the risks and challenges in adoption of large language models for enterprise. Learn about RLHF, prompt hacking/jailbreaking, guardrails, AI and data governance.
Enterprise Architectures
Overview of a canonical enterprise LLM application architecture and all the moving parts.
More than just a course
This large language models course is not technical, but we have included a lot of resources, just in case.Â
Access hundreds of coding exercises, sandboxes, free tutorials and other bonus learning material.
Just bring a laptop
Watch tutorials or practice coding in browser-based Jupyter notebooks and inline code runners. We call our learning platform a complete learning ecosystem.
Personal coding sandboxes
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 Python and R 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.
Cohort discussion forum
Get help from course staff, share ideas and discuss with your peers.
Free courses
Dozens of other short courses and coding exercises are included in the registration.
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 (one year)
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Recording of live sessions (one year)
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Online coding sandboxes (one year)
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?
No. The course is designed for all backgrounds and industries.
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 4 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 4 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.