Model Deployment Courses and Certifications

DP-100 Part 3 - Deployment and Working with SDK

In this course, we focus on how to manage and run experiments in Azure Machine Learning using Azure Machine Learning SDK.

• A Cloud Guru
• 9 hours
• On-Demand
• Free Trial Available

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
• On-Demand
• 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
• On-Demand
• Free Video

Working with Notebooks in Vertex AI

Explore Vertex AI Notebooks for streamlined machine learning workflows, from data prep to model deployment. Learn to create and manage different notebook types in this unified platform.

• Google Skills
• 5 hours 15 minutes
• On-Demand
• Paid Course

Amazon Web Services;  Amazon

Introduction to Amazon SageMaker (Vietnamese)

Tìm hiểu về Amazon SageMaker: xây dựng, đào tạo và triển khai mô hình máy học nhanh chóng. Khám phá notebook, đào tạo và lưu trữ trong dịch vụ quản lý toàn diện này.

• AWS Skill Builder
• On-Demand
• Free Certificate

Microcredential

Prepare for the Azure Data Scientist Associate (DP-100) Certification

Comprehensive preparation for Azure Data Scientist Associate certification, covering exam tips, resource management, experiments, model training, deployment, and responsible ML implementation.

• LinkedIn Learning
• On-Demand
• Free Trial Available
• 2 courses

Amazon Web Services;  Amazon

Amazon SageMaker JumpStart Foundations

Discover, deploy, and fine-tune foundation models using Amazon SageMaker JumpStart. Learn to select appropriate models, evaluate performance, and create generative images through hands-on demonstrations.

• AWS Skill Builder
• 1 hour
• On-Demand
• Free Certificate

Amazon Web Services;  Amazon

Exam Prep Standard Course: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English)

Prepare for AWS Certified Machine Learning Engineer - Associate exam with comprehensive coverage of data preparation, model development, deployment, and solution monitoring on AWS.

• AWS Skill Builder
• 5 hours 30 minutes
• On-Demand
• Free Certificate

Amazon Web Services;  Amazon

Exam Prep Enhanced Course: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English)

Comprehensive preparation for AWS Certified Machine Learning Engineer - Associate exam, covering data preparation, model development, deployment, and solution monitoring through lectures, hands-on labs, and practice questions.

• AWS Skill Builder
• 12 hours 45 minutes
• On-Demand
• Paid Course

Amazon Web Services;  Amazon

Online Course Supplement: Practical Data Science with Amazon SageMaker

Explore data science with Amazon SageMaker: Learn to build, train, and deploy ML models on AWS. Gain hands-on experience in data preparation, model evaluation, and integration with web applications.

• AWS Skill Builder
• 6 hours
• On-Demand
• Free Certificate

Intermediate ML: TensorFlow on Google Cloud

Learn to build, train, and deploy custom TensorFlow models on Google Cloud, from image classification to distributed computing, enhancing your ML skills beyond predefined models.

• Google Skills
• 3 hours 30 minutes
• On-Demand
• Paid Course

AI Engineering: Build, Train and Deploy Models with AWS SageMaker

Learn to build end-to-end AI applications using AWS SageMaker & Hugging Face: prepare your own datasets, train and modify your own models, then deploy and scale your AI applications into the real world.

• Zero To Mastery
• 12 hours
• On-Demand
• Paid Course

Amazon Web Services;  Amazon

No-code Machine Learning and Generative AI on AWS (Includes Labs)

Learn no-code machine learning and generative AI on AWS. Build, train, and deploy ML models for tabular and time series data. Use foundation models for text generation, summarization, and chat with RAG.

• AWS Skill Builder
• 10 hours 30 minutes
• On-Demand
• Paid Course

Develop Custom Object Detection Models with NVIDIA and Azure Machine Learning

Learn to create custom object detection models using Azure Machine Learning and NVIDIA. Covers workspace setup, data labeling, AutoML training, and deployment to NVIDIA Triton Inference Server for efficient GPU-accelerated inference.

• Microsoft Learn
• 2 hours 25 minutes
• On-Demand
• Free Online Course

End-to-End Machine Learning Project: From EDA to MLOps Integration

Master AI and MLOps through hands-on EDA, feature engineering, model implementation, and integration of tools like ZenML & MLflow for experiment tracking and deployment.

• freeCodeCamp
• 2 hours 48 minutes
• On-Demand
• Free Video