02 · Curriculum
What's in the course.
- Webinar Recording83m
AI Fundamentals · Intermediate
Learn how to optimize AI workflows, overcome scaling challenges, and implement parallelism techniques using distributed training, cloud infrastructure, and real-world case studies to enhance your AI systems’ performance.
01 · What you'll be able to do
Learn how to optimize AI workflows, overcome scaling challenges, and implement parallelism techniques using distributed training, cloud infrastructure, and real-world case studies to enhance your AI systems’ performance.
Introduction to Parallelism in AI Workflows Challenges in Scaling AI Workflows Data Parallelism and Model Parallelism Approaches Key Strategies for Implementing Parallelism in AI Systems.
Introduction to Parallelism in AI Workflows.
Challenges in Scaling AI Workflows.
Data Parallelism and Model Parallelism.
Key Strategies for Implementing Parallelism in AI Systems.
02 · Curriculum
04 · Is it for you?
Built for
Bring with you
05 · FAQ
Each of the 2 modules is a recorded live session, with readings from that session. Watch at your own pace.
Free

Achieve the highest distinction in the data science profession.

The ADaSci Certified Data Engineer program is a 30-hour self-paced online certification designed to build practical expertise in modern data engineering. It offers end-to-end training in designing scalable data pipelines, managing cloud infrastructure, and ensuring data quality and governance.
Free for everyone.