Quality and Safety for LLM Applications

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.

This non-degree program focuses on quality and safety for large language model applications. It's taught in English and lasts several weeks. The main advantage is that you'll learn how to identify and address safety and quality concerns in your LLM applications.

The curriculum covers topics like identifying hallucinations, detecting jailbreaks, and identifying data leakage. You'll also learn how to build your own monitoring system to evaluate app safety and security over time. You'll gain skills in sentiment analysis, implicit toxicity detection, and entity recognition.

After completing this program, you can pursue careers as a quality assurance engineer, safety analyst, or LLM application developer. You could work for companies that develop and use LLM applications, helping them ensure the safety and quality of their systems. Other potential job titles include AI ethicist, data privacy specialist, or cybersecurity consultant.