Machine Learning Model Deployment Courses and Certifications

Train and manage a machine learning model with Azure Machine Learning

Learn to use Azure Machine Learning for data handling, compute management, environment setup, job execution, model tracking with MLflow, and deploying models to online endpoints for real-time inferencing.

• Microsoft Learn
• 4 hours 34 minutes
• Self-Paced
• Free Online Course

Patrick Loeber

How to Deploy ML Models with Google Cloud Run

Learn to deploy ML models using Google Cloud Run, from building a TensorFlow app with Flask to containerizing with Docker and final deployment.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

TensorFlow

Inside TensorFlow - TensorFlow Lite

Explore TensorFlow Lite for deploying ML models on mobile and IoT devices. Learn about its architecture, conversion process, and optimization techniques for efficient on-device inference.

• YouTube
• 38 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

Krish Naik

End to End ML Project With Deployment - Github and Code Set Up

Comprehensive guide to setting up an end-to-end machine learning project, covering GitHub repository creation, environment setup, and initial code commits.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Trelis Research

Deploying Serverless Inference Endpoints - Setup and Cost Comparison

Deploy serverless inference endpoints efficiently. Learn setup, use cases, and cost comparisons for API-based machine learning model deployment.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

MattVidPro AI

Build a Local AI App in 10 Minutes with Docker - Zero Cloud Fees

Master running large language models locally with Docker to build AI apps without cloud costs, gaining full control over your models and saving on inference fees.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Aleksa Gordić - The AI Epiphany

What Is MLOps and How to Get Started - MLOps Series

Comprehensive introduction to MLOps, covering key concepts and resources for building automated ML-powered applications. Includes walkthroughs of popular courses and practical insights for aspiring ML engineers.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Open Data Science

Production Machine Learning Monitoring- Principles, Patterns and Techniques

Practical deep dive on production monitoring of machine learning models, covering standard techniques and advanced paradigms like concept drift, outlier detection, and explainability, with hands-on examples and architectural patterns.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Databricks

Productionizing Real-time Serving with MLflow

Explore production-grade MLflow serving: containerization, custom middlewares, monitoring, logging, and performance optimization for high-scale deployment of machine learning models as REST API endpoints.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

How to Deploy ML Models in Production with BentoML

Learn to deploy Machine Learning models in production using BentoML, covering installation, model saving, service creation, bento building, and Docker containerization. Includes hands-on examples and practical deployment steps.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

Deploying the Speech Recognition System on Amazon AWS

Learn to deploy a speech recognition system on Amazon AWS EC2, covering Docker setup, instance creation, code transfer, and firewall configuration for cloud-based implementation.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• 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
• Self-Paced
• Free Video

1littlecoder

Real-Time Live Speech-to-Text - Streaming ASR Gradio App with Hugging Face Tutorial

Build a real-time speech-to-text app using Hugging Face Transformers and Gradio. Learn to implement live audio transcription with Facebook's Wav2Vec2 model in this hands-on tutorial.

• YouTube
• 23 minutes
• Self-Paced
• Free Video