Machine Learning Model Deployment Courses and Certifications

Data Science Dojo

BentoML - Create an ML Powered Prediction Service in Minutes

Learn to containerize and share machine learning models using BentoML, enabling easy deployment and collaboration with team members through intuitive API endpoints.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Pragmatic AI Labs

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

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.

• YouTube
• 2 hours 26 minutes
• On-Demand
• Free Video

Great Learning

Machine Learning Model Deployment Using Flask - Flask Tutorial

Learn to deploy machine learning models using Flask, covering key concepts, architecture, deployment options, and a step-by-step guide for practical implementation.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Microservices Tutorials for Beginners

Learn to build and deploy microservices using Spring Boot and Java, with a focus on ML model deployment using Seldon Core.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Abhishek Thakur

Training Sentiment Model Using BERT and Serving It With Flask API

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.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Docker End to End Implementation

Learn Docker fundamentals, build Flask apps, deploy ML models, and understand containerization for efficient development and deployment workflows.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Video

GOTO Conferences

Production Model Deployment

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.

• YouTube
• 46 minutes
• On-Demand
• Conference Talk

Venelin Valkov

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

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.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Data Science Dojo

Deploying Machine Learning Models with Flask and Docker

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.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

USENIX

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

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.

• YouTube
• 16 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Python Data Science with VS Code and Azure

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.

• YouTube
• 33 minutes
• On-Demand
• Conference Talk

PyCon US

Pyodide - A Python Distribution for the Browser

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.

• YouTube
• 41 minutes
• On-Demand
• Conference Talk

PyCon US

Patterns of ML Models in Production

Explore ML model deployment patterns for production, covering online serving, offline processing, and scalable frameworks like Ray Serve, with insights from 100+ user interviews.

• YouTube
• 26 minutes
• On-Demand
• Conference Talk

Serverless Machine Learning Inference with KFServing

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.

• YouTube
• 24 minutes
• On-Demand
• Conference Talk

Cloud Native Machine Learning Systems at Day Two and Beyond

Explore challenges and solutions for cloud-native machine learning systems, covering reproducibility, monitoring, and DevOps tools for mature ML implementations in production environments.

• YouTube
• 26 minutes
• On-Demand
• Conference Talk