ADaSci Academy

    Webinar Recording - Unpacking Parallelism: Practical Strategies for Scaling AI Workflows

    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.

    6,556+ enrolled
    1 hours
    Intermediate
    Webinar Recording - Unpacking Parallelism: Practical Strategies for Scaling AI Workflows
    01 — Overview

    About this course

    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.


    02 — Outcomes

    What you'll learn

    ✓
    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
    03 — Curriculum

    Course content

    2 sections · 2 lectures

    04 — Prerequisites

    Requirements

    • 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.
    05 — Audience

    Who should take this course

    • AI Practitioners

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    Webinar Recording - Unpacking Parallelism: Practical Strategies for Scaling AI Workflows

    Free

    Duration1h
    LevelIntermediate
    CertificateYes

    Free