13 Best Large Language Models Courses on edX
We compared 13 Large Language Models courses currently listed on edX, priced from $5.00 to $449.00. They are ordered by our CourseAsk score, which is built from how thoroughly each course describes what it teaches, whether it comes from a named institution, and how it compares on price — not from star ratings, which our course data does not include.
- Courses compared
- 13
- Price range
- $5.00 – $449.00
- Providers
- edX
- Last updated
- 30 Aug 2026
How these 13 courses were chosen
Every course below is a real, currently listed course from edX, matched to "large language models" by our catalog and ordered by our CourseAsk score. Courses whose own title names the topic rank above those only tagged with it.
There are no star ratings on this page — the course feeds we license do not include them, and we would rather leave a column out than fill it with a number we cannot stand behind. What we do have is price: these range from $5.00 to $449.00, as listed by the provider when we last updated the page.
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1
edX MOOC / Non-creditApplied Local Large Language Models
Offered by Pragmatic AI Labs
Unlock the power of large language models on your machine. Master setup and interaction with cutting-edge LLMs through intuitive web interfaces and APIs. Explore diverse tools, programming languages, and frameworks like...
$249.00listed price -
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2
edX MOOC / Non-creditLarge Language Models with Azure
Offered by Pragmatic AI Labs
Harness Azure's AI Power: Master Large Language Models, (LLMs) Optimize Deployments, and Build Cutting-Edge Applications.
$449.00listed price -
3
edX MOOC / Non-creditDevOps and AI on AWS: Upgrading Apps with Generative AI.
Offered by Amazon Web Services
Explore the intersection of DevOps and Generative AI on AWS in this hands-on course. Learn to enhance existing applications with powerful AI features using Amazon Bedrock's large language models (LLMs). You'll gain pract...
$49.00listed price -
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4
edX MOOC / Non-creditBuilding AI with Bedrock Agent
Offered by Pragmatic AI Labs
Master MLOps for generative AI with AWS Bedrock. Learn to build enterprise-ready AI applications using cutting-edge LLM technology. Gain hands-on experience with infrastructure as code, data engineering, and agent develo...
$449.00listed price -
5
AI in Practice: Machine Learning and Neural Networks
Offered by HP
Master the architectures powering modern AI — neural networks, computer vision, NLP, Transformers, LLMs, and Generative AI. Course 2 of the HP AI Foundations, Practice, and Leadership programme. Designed for learners at...
$5.00listed price -
6
edX MOOC / Non-creditAdvanced RAG
Offered by Pragmatic AI Labs
Master cutting-edge RAG techniques to enhance LLM applications. Learn embedding strategies, document processing, and advanced retrieval methods for building high-performance AI solutions in enterprise environments. 10 ha...
$449.00listed price -
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7
edX MOOC / Non-creditModels and Platforms for Generative AI
Offered by IBM
This course focuses on the core concepts and models of generative AI, including deep learning and large language models. It covers the concept of foundation models and the capabilities of pre-trained models and platforms...
$49.00listed price -
8
edX MOOC / Non-creditIntroduction to GenAI
Offered by Microsoft
Discover the fundamentals of GenAI and how it's transforming creativity and problem-solving. This introductory course demystifies GenAI technology, exploring how large language models work and how they can be applied res...
$55.00listed price -
9
edX CertificateEnd to End LLM with Azure
Offered by Pragmatic AI Labs
Master Azure tools for building and deploying robust Large Language Model applications. Learn architectural patterns, automation, and end-to-end solutions for leveraging LLMs in your projects.
$148.99listed price -
10
edX MOOC / Non-creditPrompt Engineering for Everyone
Offered by CodeSignal
Learn the fundamentals of prompt engineering for working with large language models. Practice writing prompts that guide text generation, formatting, revision, and response length.
$40.00listed price -
11
edX MOOC / Non-creditMastering Generative AI: Fine-Tuning Transformers
Offered by IBM
Gain job-ready AI engineering skills for working with transformers, LLM frameworks, and GPT, and learn how to fine-tune models using Hugging Face and PyTorch.
$49.00listed price -
12
edX MOOC / Non-creditGenerative AI and LLMs on AWS
Offered by Pragmatic AI Labs
Unlock scalable generative AI with expert training on deploying and optimizing large language models on AWS for peak performance and compliance.
$449.00listed price -
13
edX MOOC / Non-creditRust for Large Language Model Operations (LLMOps)
Offered by Pragmatic AI Labs
Develop efficient Large Language Model solutions using Rust.
$449.00listed price
Best Large Language Models Courses on edX compared
| # | Course | Provider | Offered by | Price | |
|---|---|---|---|---|---|
| 1 | Applied Local Large Language Models | edX | Pragmatic AI Labs | $249.00 | View → |
| 2 | Large Language Models with Azure | edX | Pragmatic AI Labs | $449.00 | View → |
| 3 | DevOps and AI on AWS: Upgrading Apps with Generative AI. | edX | Amazon Web Services | $49.00 | View → |
| 4 | Building AI with Bedrock Agent | edX | Pragmatic AI Labs | $449.00 | View → |
| 5 | AI in Practice: Machine Learning and Neural Networks | edX | HP | $5.00 | View → |
| 6 | Advanced RAG | edX | Pragmatic AI Labs | $449.00 | View → |
| 7 | Models and Platforms for Generative AI | edX | IBM | $49.00 | View → |
| 8 | Introduction to GenAI | edX | Microsoft | $55.00 | View → |
| 9 | End to End LLM with Azure | edX | Pragmatic AI Labs | $148.99 | View → |
| 10 | Prompt Engineering for Everyone | edX | CodeSignal | $40.00 | View → |
| 11 | Mastering Generative AI: Fine-Tuning Transformers | edX | IBM | $49.00 | View → |
| 12 | Generative AI and LLMs on AWS | edX | Pragmatic AI Labs | $449.00 | View → |
| 13 | Rust for Large Language Model Operations (LLMOps) | edX | Pragmatic AI Labs | $449.00 | View → |
Prices shown are the provider's listed price when we last updated this page. Confirm on their site before enrolling.