Udacity

Applied Generative AI Engineering | Udacity Online Course | Udacity

Move beyond basics to build reliable enterprise-grade AI. Master foundation model-fine tuning, RAG, cost-effective prompt engineering, and multimodal solutions.

Applied Generative AI Engineering | Udacity Online Course | Udacity is an intermediate-level online course from Udacity in Generative AI. It is structured in 3 modules, over 3 months. Learners rate it 4.9/5 from 223 ratings on Udacity.

Part of our Generative AI courses collection, where we compare it against 16 other courses.

★★★★★4.9(223 reviews) English

Course highlights

Provider	Udacity
Duration	3 months
Level	Intermediate
Mode	Self-paced
Language	English
Rating	4.9★ (223 reviews)
Price	Check price

Level and time commitment

Udacity lists this course at Intermediate level.

It assumes you already have the basics of the subject and want to go deeper, rather than starting from zero.

What the provider says you need first:

Generative AI Fluency
Database fundamentals
Deep learning
Intermediate Python
Hugging Face
Parameter-Efficient Fine-Tuning

Time commitment: 3 months.

It is self-paced, so that figure is the material, not a fixed schedule.

Skills you’ll gain

Image pre-processingWord embeddingsEthical AIAI Audio and Speech AnalysisYolo algorithmModel evaluationText generationComputer vision fluencyImage classificationLarge Language ModelsImage generationImage segmentation

What this course covers

3 modules

The 3-part outline Udacity publishes for this course, across 3 months.

Module 1 · Generative AI Fundamentals

Module 2 · Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)

Module 3 · Multimodal AI Applications

What learners rate it

4.9

★★★★★

223 ratings

Rated 4.9/5 by 223 learners on Udacity (checked 7 Nov 2026).

This rating is collected by Udacity from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udacity →

How this page is put together

Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udacity course pages — we never estimate a price or a rating. Last verified 7 November 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course	Provider	Rating	Price	Duration	Why pick this one
Applied Generative AI Engineering \| Udacity Online Course \| Udacity This	Udacity	4.9★	Check price	3 months	Highest rated (4.9★ from 223 reviews)
Generative AI for Everyone	Coursera	4.8★	Check price	5h 46m	Quickest to finish (5h 46m)	View ↗
Generative AI Automation	Coursera	4.8★	Check price	1 month	Beginner-friendly · 1 month	View ↗
Generative AI Assistants	Coursera	4.8★	Check price	1 month	Beginner-friendly · 1 month	View ↗

See all Generative AI courses →

Common questions

How much does Applied Generative AI Engineering | Udacity Online Course | Udacity cost?

Udacity does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.

How long does Applied Generative AI Engineering | Udacity Online Course | Udacity take?

Udacity lists it at 3 months. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

Is Applied Generative AI Engineering | Udacity Online Course | Udacity suitable for beginners?

Udacity lists it at Intermediate level, so it assumes some grounding in the subject already. If you are starting from zero, a beginner-level course in the same topic is the better entry point.

What does Applied Generative AI Engineering | Udacity Online Course | Udacity cover?

It is organised into 3 modules, starting with Generative AI Fundamentals and going on to Large Language Models (LLMs) and Retrieval Augmented Generation (RAG), Multimodal AI Applications. The full outline is on this page.