Source Systems, Data Ingestion, and Pipelines

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 Source Systems, Data Ingestion, and Pipelines program is a non-degree course for students who want to learn about data ingestion and pipelines. It's offered by DeepLearning.AI in California, and classes are taught in English. This course lasts several weeks and helps students learn how to connect to source systems and troubleshoot common issues.

In this course, students learn about different types of source systems, common ingestion patterns, and how to implement batch and streaming pipelines. They also learn how to automate and orchestrate data pipelines using infrastructure as code and pipelines as code tools. Additionally, students explore AWS and open source tools for monitoring data systems and data quality.

After completing this course, students can pursue careers as Data Engineers, Data Architects, Data Analysts, Pipeline Developers, or Data Quality Specialists. They can work in various industries, including technology, finance, and healthcare, for employers such as Google, Amazon, or Microsoft.