Program profile · official sources
Intro to LLMs
365 Data Science's 'Intro to LLMs' is an intermediate-level online course designed to introduce learners to modern language models and transformer architectures. Instructed by Lauren Newbould, the three-hour curriculum covers core transformer mechanics, attention mechanisms, and pre-training versus fine-tuning. Practical modules guide students through building chatbots with OpenAI's API and LangChain, utilizing Hugging Face tokenizers, creating question-answering systems with BERT, and performing text classification using XLNet. Earning the verifiable course certificate requires passing the course exam; the general certificate terms specify 60% or higher. The course grants 4 CPE credits. Prerequisites include basic Python programming and an IDE setup.
Facts checked 27 Sep 2026
- Price
- See pricing
Price observation recorded 27 Sep 2026 (not a current price): No total course price is stated. The platform-wide Self-Study plan displays a regular comparison price of $36/month, an observed $12.50/month billed annually offer, and an FAQ mentions a $29/month rate, as observed in United States captures dated 2026-09-27. ISO currency and a separately monthly-billed amount were not established; these subscription rates are not treated as a source-checked completion total. Practical lessons include connecting to OpenAI's API; usage fees and included credits are not quantified. Certificates are included with the Self-study learning plan.
- Time
- 3 hours
- (provider headline; module and exam timings listed separately)
- Level
- Intermediate
- Credential
- Provider-issued certification
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.
- Prerequisites
- Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Basic understanding of Python programming is required. No prior experience with natural language processing or machine learning is necessary.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
- Duration
- 3 hours (provider headline; module and exam timings listed separately)
- Level
- Intermediate
- Format
- 100% online, self-paced course
- Credential
- Provider-issued certification
- Prerequisites
- Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Basic understanding of Python programming is required. No prior experience with natural language processing or machine learning is necessary.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Introduction to Large Language Models
- The Transformer Architecture
- Getting started with GPT models
- Hugging Face Transformers
- Question and answer models with BERT
- Text classification with XLNet
- Course exam
Prerequisites: Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Basic understanding of Python programming is required. No prior experience with natural language processing or machine learning is necessary.
What you actually do
- Introduction to Large Language Models · 16 min; Section 1 · Source
- The Transformer Architecture · 24 min; Section 2 · Source
- Getting started with GPT models · 33 min; Section 3 · Source
- Hugging Face Transformers · 27 min; Section 4 · Source
- Question and answer models with BERT · 32 min; Section 5 · Source
- Text classification with XLNet · 26 min; Section 6 · Source
- Course exam · 30 min; Section 7 · Source
What the credential is
- Credential type
- Provider-issued certification · 365datascience.com / intro-to-llms
- Credential
- Course Certificate · 365datascience.com / certificates
- Issuer
- 365 Data Science · 365datascience.com / certificates
- Sharing
- Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
- Exam requirement
- Pass the course exam; general certificate terms state 60% or above. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
- Credential expires
- provider does not state · 365datascience.com / intro-to-llms
- Renewal
- provider does not state · 365datascience.com / intro-to-llms
Who should skip it
- Check the course-specific preparation before enrolling: Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Basic understanding of Python programming is required. No prior experience with natural language processing or machine learning is necessary. · Official source · 2026-09-27
Alternatives in the registry
Related by topic or level.
- Finetuning with Llama · Check official price; 2 hours (provider headline; section and exam times listed separately).
- Intro to NLP for AI · Check official price; 4 hours (provider headline; module and exam timings listed separately).
- Introduction to LLaMA · Check official price; 2 hours (provider headline; module and exam timings listed separately).
Change log
- : Initial recorded review of official program details. · Source
Cost details
The course utilizes Python 3.8+, Hugging Face Transformers, and connects to OpenAI's API. No quantified OpenAI API usage fee, included credit, or course completion price is established.
Official source · 2026-09-27