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Generative AI with Large Language Models
Intermediate English Course CertificateFREE
Our recommendation
A popular intermediate course from DeepLearning.AI and AWS on how large language models actually work — training, fine-tuning and deploying them. It is hands-on and current, and one of the better technical introductions to LLMs. It expects Python and some machine-learning background.
Good for: Developers with ML basics who want to understand and work with large language models.
Less suitable if: You are new to machine learning, or you only want to use LLMs through a chat interface.
Skills you'll gain
Large language modelsGenerative AIFine-tuningPrompt engineeringTransformersModel deployment
Is this course right for you?
A good fit if you…
You have Python and ML basics
You want to understand LLMs technically
You like hands-on labs
Consider something else if you…
You are new to machine learning
You only want to use chatbots
You want no coding
Requirements: Python and machine-learning basics; intermediate.
Realistic time: About 16 hours; a couple of weeks part-time.
About this course
Generative AI with Large Language Models is the course to take once you've got the concepts and want to get your hands dirty. Built by DeepLearning.AI with AWS, it traces the full lifecycle of an LLM project: how transformers work, how to frame a use case, and the real techniques teams use to make models useful — prompting, fine-tuning, and reinforcement learning from human feedback (RLHF).
What you'll learn
Explain how transformer-based LLMs are trained and generate text
Frame a generative-AI use case and pick the right model approach
Fine-tune a foundation model for a specific task
Apply RLHF to align a model with human preferences
Reason about the cost/performance trade-offs of each approach
Understand how LLMs are deployed and scaled in production
This course includes
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
Free to audit on Coursera; the certificate needs a subscription, with financial aid available.
Comparison · LBS
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The certificate is issued through Coursera with DeepLearning.AI and AWS. The hands-on skills matter most.
Last updated
Instructor
AB
Antje Barth
Coursera instructor
Led by Antje Barth, a Principal Developer Advocate for generative AI at AWS and co-author of 'Data Science on AWS,' alongside fellow AWS specialists. The teaching team brings production experience rather than pure theory, which shows in the labs.