WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
WeAreDevelopers LIVE • Nov 30, 2020

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

Linda Mohamed

Raw data once caused an AI to classify a human as a juggling ball. Avoid this by chaining AWS, Azure, and GCP into a serverless machine learning pipeline.

Pause
Mute Enter Fullscreen
#1 about 6 min

Understanding foundational data science and artificial intelligence concepts

Differentiating computer science, data science, and machine learning lays the groundwork for practical artificial intelligence implementation.

#2 about 3 min

Explaining the standard machine learning development cycle

Fetching, preparing, training, and evaluating data forms the core iterative loop of machine learning model generation.

#3 about 4 min

Evaluating existing pre-trained models and mathematical calculations

Existing open-source machine learning solutions and theoretical math often fail to address practical real-world variables.

#4 about 3 min

Manual data pre-processing using custom vision platforms

Training a custom vision model manually reveals the limitations and time constraints of non-automated data labeling.

#5 about 2 min

Exploring data collection challenges from user-generated platforms

Scraping visual data from social platforms highlights the need for robust data acquisition workflows.

#6 about 4 min

Automating feature engineering to handle messy data

Uncleaned social media inputs cause model recall metrics to drop, proving the necessity of comprehensive data cleaning.

#7 about 3 min

Connecting multi-cloud services for automated data preparation

Utilizing an event-driven flow across public cloud platforms scales machine learning data cleaning processes efficiently.

#8 about 3 min

Orchestrating serverless workflows with cloud messaging services

Cloud messaging queues and serverless functions format data automatically for cross-platform model training.

#9 about 3 min

Comparing cloud provider model training and evaluation accuracy

Contrasting model evaluation across different cloud vendors demonstrates minor performance differences in image recognition.

#10 about 4 min

Deploying machine learning models locally and remotely with containers

Packaging exported machine learning models into Docker configurations allows for seamless multi-cloud deployment.

#11 about 3 min

Defining tech democratization across serverless cloud environments

Leveraging multiple managed cloud infrastructure platforms empowers software engineers to bypass deep domain expertise requirements.

#12 about 4 min

Reviewing architectural prototype lessons and future deployment pipelines

Understanding that manual implementation prototypes lack maintainability emphasizes the requirement for automated continuous delivery pipelines.

Matching moments

5:05 min

Exploring hybrid models, monoliths, and serverless computing

Michael Eisenbart · LIVE

2:18 min

Exploring the tiered architecture of modern machine learning stacks

Kris Howard · LIVE

3:43 min

Evaluating cost effectiveness and summarizing serverless machine learning strategies

Marek Suppa · LIVE

2:00 min

Shifting from single models to specialized AI infrastructure

Emmanuel Acheampong Emmanuel Acheampong · World Congress 2026 North America

2:41 min

Transitioning artificial intelligence infrastructure into scalable commodity cloud services

juarezjunior juarezjunior · World Congress 2024

3:08 min

Comparing containers, cloud architectures, and serverless computing

Dominik Kress · LIVE

More from WeAreDevelopers LIVE

WeAreDevelopers LIVE - Tech Education in Two Languages thumbnail
1:00:18
5 days ago

WeAreDevelopers LIVE - Tech Education in Two Languages

Daniel Cranney, Roxy Rodriguez-Becker

WeAreDevelopers LIVE - Playing in Production thumbnail
1:06:40
12 days ago

WeAreDevelopers LIVE - Playing in Production

Andrew MacLean, Daniel Cranney, Christian Heilmann

WeAreDevelopers LIVE - Is CSS Catching Up to Flash? thumbnail
1:03:33
26 days ago

WeAreDevelopers LIVE - Is CSS Catching Up to Flash?

Chris Heilmann, Daniel Cranney, Bramus Van Damme

WeAreDevelopers LIVE - Project Chopin: Make Your Team and Agents Play Along thumbnail
1:21:17
about 1 month ago

WeAreDevelopers LIVE - Project Chopin: Make Your Team and Agents Play Along

Chris Heilmann, Daniel Cranney, Krzysztof Cieślak

Fake or News - AI Toothbrushes, Carrier Pigeon Tech & Life on Mars - Krzysztof Cieślak thumbnail
4:23
about 1 month ago

Fake or News - AI Toothbrushes, Carrier Pigeon Tech & Life on Mars - Krzysztof Cieślak

Chris Heilmann, Daniel Cranney

WeAreDevelopers LIVE - Open Source Agent Toolkits thumbnail
1:00:38
about 1 month ago

WeAreDevelopers LIVE - Open Source Agent Toolkits

Chris Heilmann, Daniel Cranney, Eddie Jaoude

Upcoming sessions on this topic

Open session

Build a Zero-Cost AI Agent in Your Browser

  • Aishwarya Mathuria

    Adobe

    Computer Scientist

  • Nishant Thakur

    Adobe

    Senior Computer Scientist

Open session

Architecting Trusted AI: Coupling Multi-Agent Systems with dbt Semantic Store for Zero-Hallucination

  • Pushkar Mishra

    J.P. Morgan

    Senior Vice President

Open session

Teaching AI Coding Agents to Build It Right the First Time

  • Sajeetharan Sinnathurai

    Microsoft

    Principal Product Manager

Open session

AI Is the Easy Part: Why Faster Engineers Don't Make Faster Businesses

  • Bharat Sharma

    Booking

    Senior Engineering Manager

Open session

Multi-Cloud Isn't a Project. It's a Side Effect.

  • Antonio Mendoza Pérez

    Temporal Technologies

    Staff Developer Success Engineer

  • Gaurav Thadani

    Temporal

    Staff Developer Success Engineer

Open session

From Prompt Engineering to Harness Engineering: Building Observable and Governed GenAI Systems

  • Lakshmi Devi Prakash

    JPMorgan Chase

    VP, Applied AI/ML Lead

Related videos

Serverless: Past, Present and Future thumbnail
1:01:02
LIVE • about 6 years ago

Serverless: Past, Present and Future

Oliver Arafat

Machine Learning for Software Developers (and Knitters) thumbnail
49:45
LIVE • over 5 years ago

Machine Learning for Software Developers (and Knitters)

Kris Howard

Serverless deployment of (large) NLP models thumbnail
39:02
LIVE • over 5 years ago

Serverless deployment of (large) NLP models

Marek Suppa

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 5 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Serverless on Cloud thumbnail
41:13
LIVE • almost 5 years ago

Serverless on Cloud

Cheng Zhang

Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.