Data Storage and Queries

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 in Data Storage and Queries is for students who want to learn about data storage and queries. It's a great fit for those with a basic education level, and it's taught in English. The program is online and lasts several weeks, giving you the advantage of flexible learning.

The curriculum covers topics like storage systems, databases, and query languages. You'll learn about object, block, and file storage, as well as databases built on top of these systems. You'll also get hands-on practice with tools like Cypher and Neo4j, and you'll design a simple data lake using Amazon Glue.

After completing this program, you can pursue careers like Data Engineer, Database Administrator, or Data Architect. You might work in industries like tech, finance, or healthcare, and employers could include companies like Amazon or Google. Other possible job titles include Data Scientist or Business Intelligence Developer.