DeepLearning.AI

Generative AI with Large Language Models

California, United States

The Non-degree in Generative AI with Large Language Models at DeepLearning.AI is a program for international students taught in English.

Introduction

DeepLearning.AI is a specialist online education platform founded in 2017 that focuses on practical, industry-relevant training in artificial intelligence and machine learning. Designed for learners at multiple levels, its courses emphasize hands-on projects, clear conceptual foundations and tools commonly used in industry. The platform’s flexible online format makes it accessible to professionals and students worldwide who want to build skills without relocating.

Courses and specializations are structured to help learners develop applied portfolios, with real-world assignments, code notebooks and community review. Collaboration with leading practitioners ensures content remains current with industry practice, and certificate programs help demonstrate competencies to employers. The platform also supports career transitions, offering guidance on interviewing for technical roles and connecting learners with opportunities to showcase their work.

For international learners seeking concentrated, practice-oriented AI education, DeepLearning.AI provides a clear route to upskill quickly and build demonstrable expertise. Its global learner community, modular course design and emphasis on project-based learning make it a pragmatic choice for those aiming to enter research, product or engineering roles in the AI ecosystem.

About the Program

Generative AI with Large Language Models is a non-degree program for developers who want to learn about generative AI and large language models. It's an intermediate course that lasts several weeks and is taught in English. The main advantage of this program is that it helps developers understand how generative AI works and how to deploy it in real-world applications.

The curriculum includes three modules that cover the fundamentals of generative AI, the transformer architecture, and how to optimize and deploy large language models. Students will learn to describe the key steps in a typical LLM-based generative AI lifecycle, use empirical scaling laws to optimize models, and apply state-of-the-art training and deployment methods. They will also develop practical intuition about how to best use this technology.

After completing this program, graduates can pursue careers as AI Engineers, Machine Learning Engineers, Data Scientists, Software Developers, or Research Scientists. They can work in various industries, including tech, healthcare, and finance, and can be employed by companies that use AI and machine learning, such as Google, Microsoft, or Amazon.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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