Fine-tuning Large Language Models
This course is an interactive deep dive into modern NLP tasks, including fine-tuning pre-trained models, understanding the mechanisms of large language models for text generation, and powering AI assistants. Hands-on, practical modules will equip you with essential skills in data preparation, tokenization, model training, and evaluation. By the end of the course you'll create your very own AI assistant using supervised fine-tuning.
Course taught by expert instructors
Santi Adavani
Head of Product at PostgresML
Dr. Santi Adavani is an accomplished technology leader with a demonstrated history of driving innovation and delivering impactful software products. He currently serves as the Founding Member and Head of AI at PostgresML, where he leads the development of the company's cloud-based AI Database as a Service platform. Prior to this role, Dr. Adavani was the Founder and CTO of RocketML, where he was instrumental in driving the company's success. He spearheaded the development of high-performance computing (HPC) MLOps products and services that specialized in solving data science problems in a variety of industries, including energy, precision medicine, financial services, and healthcare.
The course
Learn and apply skills with real-world projects.
Software Engineers looking to learn more or work in machine learning fields
Data science and machine learning practitioners looking for practical learning in NLP to support their current work, including those completely new to NLP
Writing Python and an ability to find and read documentation of different libraries
Basic knowledge of machine learning
Try these prep courses first
- Learn
- Transformer architecture: sequence to sequence, encoder and decoder models
- Open-source vs. Proprietary LLMs
- Tokenization, model inference, post-processing
- Transfer learning, data preparation, training, and evaluation
Project- Build pipelines from scratch using tokenizers and pre-trained models
- A fine-tuned encoder model using publicly available data for one of the NLP tasks
- Learn
- Different decoding strategies for text generation
- In-context and few-shot learning
- Data preparation, fine-tuning, and evaluation
Project- Experiment with different decoding strategies and generate creative text outputs.
- Build few-shot applications using text generation models
- Compare text generation models with traditional NLP models for specific tasks
- Learn
- Building blocks behind AI assistants like ChatGPT
- Supervised Fine tuning and RLHF
- Data preparation, fine-tuning, and evaluation
Project- AI assistant using supervised fine tuning
A course you'll actually complete. AI-powered learning that drives results.
AI-powered learning
Transform your learning programs with personalized learning. Real-time feedback, hints at just the right moment, and the support for learners when they need it, driving 15x engagement.
Live courses by leading experts
Our instructors are renowned experts in AI, data, engineering, product, and business. Deep dive through always-current live sessions and round-the-clock support.
Practice on the cutting edge
Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.
Flexible schedule for busy professionals
We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.
Completion certificates
Each course comes with a certificate for learners to add to their resume.
Best-in-class outcomes
15-20x engagement compared to async courses
Support & accountability
You are never alone, we provide support throughout the course.
Get reimbursed by your company
More than half of learners get their Courses and Memberships reimbursed by their company.
Hundreds of companies have dedicated L&D and education budgets that have covered the costs.
