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#Machine Learning Model Deployment

Showing: 19 courses
MLOps World: Machine Learning in Production

How to MLEM Your Models to Production

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Explore MLEM, an open-source tool for storing, accessing, packaging, and deploying machine learning models efficiently in various production scenarios.
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1 Lesons
1 hour 23 minutes
On-Demand
Free-Video
Great Learning

Machine Learning Model Deployment Using Flask - Flask Tutorial

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Learn to deploy machine learning models using Flask, covering key concepts, architecture, deployment options, and a step-by-step guide for practical implementation.
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9 Lesons
41 minutes
On-Demand
Free-Video

Docker End to End Implementation

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Learn Docker fundamentals, build Flask apps, deploy ML models, and understand containerization for efficient development and deployment workflows.
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8 Lesons
2 hours 30 minutes
On-Demand
Free-Video

Microservices Tutorials for Beginners

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Learn to build and deploy microservices using Spring Boot and Java, with a focus on ML model deployment using Seldon Core.
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3 Lesons
30 minutes
On-Demand
Free-Video
Data Science Dojo

BentoML - Create an ML Powered Prediction Service in Minutes

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Learn to containerize and share machine learning models using BentoML, enabling easy deployment and collaboration with team members through intuitive API endpoints.
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5 Lesons
49 minutes
On-Demand
Free-Video
Pragmatic AI Labs

MLOps Platforms From Zero - Databricks, MLFlow-MLRun-SKLearn

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Comprehensive guide to building MLOps platforms using Databricks, AutoML, SKLearn, and AWS. Covers end-to-end process from project setup to model deployment, including CI/CD, experimentation, and containerization.
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17 Lesons
2 hours 26 minutes
On-Demand
Free-Video
Data Science Dojo

Deploying Machine Learning Models with Flask and Docker

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Learn to deploy ML models as web services using Flask, manage environments with Pipenv, package with Docker, and deploy to AWS Beanstalk. Gain practical skills for putting models into production.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Nicholas Renotte

Deploying Machine Learning Models Online with Watson Machine Learning - Python Scikit-Learn

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Learn to deploy Scikit-Learn models to the cloud using Watson Machine Learning, enabling online access and integration with various programming languages in under 30 minutes.
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1 Lesons
29 minutes
On-Demand
Free-Video
Abhishek Thakur

Training Sentiment Model Using BERT and Serving It With Flask API

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Learn to build and deploy a high-accuracy sentiment analysis model using BERT and Flask API, covering data preparation, model training, and serving the model for real-world applications.
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18 Lesons
1 hour 16 minutes
On-Demand
Free-Video
Venelin Valkov

Deploy LLM to Production on Single GPU - REST API for Falcon 7B with QLoRA on Inference Endpoints

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Learn to deploy a fine-tuned Falcon 7B model with QLoRA to production using HuggingFace Inference Endpoints, creating a REST API for efficient and scalable inference on a single GPU.
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10 Lesons
22 minutes
On-Demand
Free-Video
Prodramp

Gradio AI Web Application - Hands-On Python Example With JoJoGAN Face Stylization Model

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Learn to deploy a JoJoGAN face stylization model using Gradio in Google Colab. Hands-on tutorial covers model setup, inference code, GPU-to-CPU conversion, and creating a public web application interface.
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12 Lesons
16 minutes
On-Demand
Free-Video
GOTO Conferences

Production Model Deployment

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Explore strategies for deploying production models, including data sharing, service building, and AB testing. Learn about ML pipelines, engineering requirements, and effective handoff between data scientists and software engineers.
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39 Lesons
46 minutes
On-Demand
Free-Video
GOTO Conferences

Accelerating Machine Learning DevOps with Kubeflow

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Explore Kubeflow for seamless machine learning deployment on Kubernetes. Learn to move models from development to production efficiently, enhancing ML DevOps practices.
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26 Lesons
46 minutes
On-Demand
Free-Video
EuroPython Conference

Python Data Science with VS Code and Azure

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Discover how Native Notebooks in VS Code enhance data science workflows and learn to deploy machine learning models using Azure Machine Learning service for improved productivity and efficiency.
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9 Lesons
33 minutes
On-Demand
Free-Video
USENIX

Conveyor - One-Tool-Fits-All Continuous Software Deployment at Meta

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Explore Meta's Conveyor, a universal software deployment tool managing 30,000+ pipelines across millions of machines, featuring automated deployments, safe updates, and ML model deployment capabilities.
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1 Lesons
16 minutes
On-Demand
Free-Video
PyCon US

Patterns of ML Models in Production

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Explore ML model deployment patterns for production, covering online serving, offline processing, and scalable frameworks like Ray Serve, with insights from 100+ user interviews.
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15 Lesons
26 minutes
On-Demand
Free-Video
PyCon US

Pyodide - A Python Distribution for the Browser

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Explore Pyodide: Run Python in browsers and Node.js using WebAssembly. Learn about porting packages, JavaScript-Python integration, and building serverless web apps with Python.
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32 Lesons
41 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Serverless Machine Learning Inference with KFServing

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Explore serverless ML inference with KFServing, addressing deployment challenges, auto-scaling, and GPU utilization. Learn about real-world applications and future prospects in machine learning production environments.
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16 Lesons
24 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Cloud Native Machine Learning Systems at Day Two and Beyond

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Explore challenges and solutions for cloud-native machine learning systems, covering reproducibility, monitoring, and DevOps tools for mature ML implementations in production environments.
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13 Lesons
26 minutes
On-Demand
Free-Video