Pretraining LLMs

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.

The Pretraining LLMs program is a non-degree course offered by DeepLearning.AI in California. It's taught in English and focuses on teaching students how to pretrain large language models using a technique called pretraining. The program is designed for students who want to learn about the essential steps of pretraining an LLM.

The curriculum covers topics like creating a high-quality training dataset, packaging training data for use with the Hugging Face library, and configuring and initializing a model for training. Students will also learn how to configure and execute a training run, assess their trained model's performance, and explore common evaluation strategies for LLMs.

After completing this program, students can pursue careers as machine learning engineers, natural language processing specialists, or AI researchers. They can work in industries like technology, research, or finance, and potential employers may include companies like Facebook, Amazon, or NVIDIA. Students can also work as data scientists or software engineers, helping organizations develop and implement their own LLMs.