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Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more

Mastering Fine Tuning Large Language Models

A Hands-On Introduction to Fine-Tuning LLM | Data Science Dojo
A Hands-On Introduction to Fine-Tuning LLM | Data Science Dojo
A Hands-On Introduction to Fine-Tuning LLM | Data Science Dojo
8
modules
100 +
coding exercises
12 +
months acess to learning platform
1
CEU
START BUILDING NOW

Who is this course for?

Fine tuning is often needed when a large model has to be adapted for a specific task, domain or style. 

This course is designed for anyone interested in fine tuning large language models while understanding the challenges, risks, cost, accuracy and latency tradeoffs in building LLM applications.

Curriculum

The most comprehensive course on LangChain in industry taught by practitioners who build RAG-based LLM products. Theory and coding exercises

Fundamentals

Understand when and why fine tuning is needed. Understand completion and instruct models. Discuss transfer learning, supervised and unsupervised fine tuning.

RAG vs. Fine Tuning

Discuss in detail the risks and tradeoffs between using fine tuning and retrieval augmented generation and why an enterprise would need one or the other.

Optimization

Learn about techniques like PEFT, quantization, LoRA (Low Rank Adaptation). Improving models using RLHF.

Fine tuning Llama2 7B

Learn to quantize a Llama2 7B parameter 4-bit quantized model on an instruction fine tuning dataset. Evaluate and benchmark against the original model as baseline.

Domain-specific models

Proposed – Symbl.AI

Risks and Challenges

Understand the inherent risks in fine tuning and how to guard against them.

COMPLETE LEARNING ECOSYSTEM

More than just a course

The course registration comes with access to our learning platform with hundreds of free tutorials, coding exercises, sandboxes, 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.

All learners get access to a GPU cloud and APIs for fine tuning large language models. 

All software licenses, subscriptions, tools, and computing resources are included. For Guru package, LLM API keys are also included.

Every attendee gets a dedicated compute and storage pre-configured with relevant libraries and packages.

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.

LEARN FROM EXPERTS

In collaboration with

We have partnered with some of the foremost names in industry to bring this course to you.

Instructors

Learn from practitioners with extensive industry experience in building generative AI and large language models applications at large scale.
Instructor Raja Iqbal from Data Science Dojo, guiding participants through the LLM Bootcamp.

Raja Iqbal

Chief Data Scientist

Instructor Sanjay Pant from Data Science Dojo, guiding participants through the LLM Bootcamp.

Sanjay Pant

Senior Data Scientist

Customers reviews

CHOOSE A PLAN

Register Now

May 14, 2024

9am-5pm Pacific

Dojo

$799
$ 559
  • Live Instuctor-led training
  • Direct access to instructor
  • Hands-on fine tuning exercises
  • GPU cloud and coding sandboxes
  • Access to private community of learners
  • Restricted access to learning platform

Guru

$999
$ 699
  • Everything in Dojo plus
  • Verified certificate with 1 CEU
  • 100+ hands-on coding exercises
  • Bonus learning material
  • Recording of live sessions
  • Online coding sandboxes
CERTIFICATE
ACCREDITED CERTIFICATE

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
A Hands-On Introduction to Fine-Tuning LLM | Data Science Dojo

Frequently Asked Questions

Yes. You should be comfortable with Python programming. Basic understanding of large language models is strongly recommended.

No worries. All sessions are recorded and made available for you to view in the learning platform.

The live session is 8 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 8 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.

Get In Touch

Please reach out to us for any questions about curriculum, registration, or requesting an invoice.

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