Model Deployment Courses and Certifications

Amazon Web Services;  Amazon

Introduction to Amazon SageMaker

Learn to build, train, and deploy machine learning models using Amazon SageMaker's fully-managed platform, exploring its key components for notebooks, training, and hosting.

• AWS Skill Builder
• 2-3 hours
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Machine Learning Exam Basics

Explore AWS machine learning services, from building and deploying models to deep learning. Learn from Amazon's scientists about ML business challenges and data processing in the ML pipeline.

• AWS Skill Builder
• 2 hours
• Self-Paced
• Free Certificate

Build and operate machine learning solutions with Azure Machine Learning

Build and operate machine learning solutions with Azure Machine Learning

• Microsoft Learn
• 10-11 hours
• Self-Paced
• Free Online Course

TensorFlow Lite for Edge Devices - Tutorial

Explore TensorFlow Lite for efficient on-device inference. Learn edge computing, model conversion, quantization, and compression techniques for deploying deep learning models on resource-constrained devices.

• freeCodeCamp
• Self-Paced
• Free Video

Code a Discord Chat Bot That Talks Like Your Favorite Character - Tutorial

Create an AI-powered Discord chat bot that mimics your favorite character's speech patterns using Python or JavaScript, with step-by-step guidance on data collection, model training, and deployment.

• freeCodeCamp
• Self-Paced
• Free Video

Train models in Azure Machine Learning with the CLI (v2)

Train models in Azure Machine Learning with the CLI (v2)

• Microsoft Learn
• 2 hours 56 minutes
• Self-Paced
• Free Online Course

Building a Reproducible Model Workflow

Learn to build efficient, reproducible machine learning pipelines using MLflow, pytest, and Weights & Biases. Master data validation, experiment tracking, and model deployment for real-world ML projects.

• Udacity
• 21 hours
• Self-Paced
• Paid Course

TensorFlow on Google Cloud

This course covers designing and building a TensorFlow input data pipeline, building ML models with TensorFlow and Keras, improving the accuracy of ML models, writing ML models for scaled use, and writing specialized ML models.

• Google Skills
• 15 hours 30 minutes
• Self-Paced
• Paid Course

Vertex Forecasting and Time Series in Practice

Learn to build forecasting solutions using Google Cloud, covering sequence models, time series analysis, and end-to-end workflows with Vertex AI. Gain practical skills through retail use cases and hands-on model development.

• Google Skills
• 1 day
• Self-Paced
• Paid Course

Krish Naik

End to End Machine Learning Project Implementation with Dockers, GitHub Actions and Deployment

Comprehensive guide to implementing a machine learning project, covering data analysis, model training, web application development, and deployment using Docker and GitHub Actions.

• YouTube
• 2 hours 45 minutes
• Self-Paced
• Free Video

The Full Stack

Full Stack Deep Learning - Spring 2021

Master end-to-end deep learning from fundamentals to production deployment, covering CNNs, RNNs, transformers, MLOps, ethics, and real-world project implementation.

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

Model Armor: Mengamankan Deployment AI

Pelajari cara mengamankan deployment AI dengan Model Armor Google Cloud, termasuk mitigasi risiko LLM, kustomisasi pengaturan, dan implementasi perlindungan aplikasi AI.

• Coursera
• 3 hours 51 minutes
• Self-Paced
• Paid Course

Databricks

Managing the Complete Machine Learning Lifecycle with MLflow - Introduction to MLflow Tracking

1 rating

Introduction to MLflow: tracking experiments, packaging projects, deploying models, and managing lifecycle. Learn to record, reproduce, and compare ML runs using MLflow's components and UI.

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

AWS Events

Introduction to MLOps Engineering on AWS

Discover the fundamentals of MLOps engineering, exploring how it extends DevOps practices for machine learning model development, training, and deployment on AWS infrastructure.

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

Weights & Biases

W&B 101 - Introduction to Weights & Biases for ML Experiment Tracking

Master experiment tracking, visualization, and ML optimization with W&B's comprehensive introduction to streamline collaboration and boost project efficiency.

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