Commercial disclosure: Academies.ai has an affiliate agreement with 365 Data Science. If you enrol through links on this page we may earn a commission at no extra cost to you. This does not affect our assessment; rankings cannot be purchased.
Program profile · official sources
Finetuning with Llama
This Intermediate level course teaches how to fine-tune Llama models with Hugging Face. Learners set up environments, prepare datasets, train models using Trainer, and evaluate with ROUGE and BERTScore. It covers efficient methods like LoRA and QLoRA, quantization with BitsAndBytes, and deploying models as a live FastAPI API. This course provides narrow model adaptation training versus a broad LLM app bootcamp. Prerequisites explicitly require Python programming skills and a basic understanding of GenAI/LLMs, overriding the generic platform FAQ.
Facts checked 2026-09-25
- Price
- No total course price is stated. As shown in the United States on 25 September 2026, the Self-Study card displays $12.50 per month under annual billing, with $36 as the old/reference price. The saved HTML identifies the annual card state. A separate FAQ states $29 per month. ISO currency, tax, checkout annual total and total completion cost are not established.
- Time
- 2 hours (provider headline; section and exam times listed separately)
- Level
- Intermediate
- Credential
- Provider-issued certificate
- Prerequisites
- Python programming skills, Basic understanding of GenAI and LLMs, Interest in Customizing GenAI and LLMs
Course Overview
This intermediate level learning path explores how to fine-tune Llama models using Hugging Face. The teaching focus covers data engineering and machine learning concepts. Participants will navigate setting up local environments, preparing datasets, and training models. The curriculum emphasizes parameter-efficient methods like LoRA and QLoRA alongside quantization utilizing BitsAndBytes. The final stages cover deploying these newly tailored models via a live FastAPI application. In terms of comparison framing, this course provides narrow model adaptation training versus a broad LLM application building bootcamp.
Audience and Course Specific Prerequisites
This program targets an intermediate audience. Unlike basic courses, the course specific prerequisites explicitly require Python programming skills and a basic understanding of GenAI and LLMs. These requirements override the generic platform FAQ. An interest in customizing Generative AI is also expected. Tool, API and compute charges are not quantified in the reviewed sources.
Duration: 2 hours
This course features 101 minutes of lesson material accompanied by a 30 minute exam. The page also lists a 10-minute practice exam separately; its relationship to the section timings is not established. These are content estimates, not a promised completion schedule.
Module Breakdown
- Introduction: 9 min
- Getting Started with Finetuning: 14 min
- Data Preparation for Finetuning: 11 min
- Finetuning with Hugging Face: 15 min
- Parameter-efficient Finetuning with LoRA: 12 min
- Efficient Finetuning with Quantization: 12 min
- Deploying Finetuned Models: 12 min
- Ethical Considerations & Best Practices: 10 min
- Conclusion: 6 min
- Course exam: 30 min
Credentials
The page lists a course exam and says certificates are included with the Self-Study learning plan. The provider’s general certificate policy, read 25 September 2026, requires completing the course and passing its exam with 60% or above. Certificates can be viewed, downloaded and shared. The exact personalized award title, expiry and renewal conditions remain unestablished. The provider separately lists 4 CPE credits; this continuing-education measure is distinct from the certificate, and acceptance is not guaranteed here.
Enrollment and Pricing Details
As shown in the United States on 25 September 2026, the Self-Study card displays $12.50 per month under annual billing, with $36 as the old/reference price. The saved HTML identifies the annual card state. A separate FAQ states $29 per month. ISO currency, tax, checkout annual total and total completion cost are not established.
- Course URL, US capture read 25 September 2026.
-
Pricing URL, US capture read 25 September 2026.
-
Certificate policy, US capture read 25 September 2026.