Model Training Courses and Certifications

DP-3007: Train and Deploy a Machine Learning Model with Azure Machine Learning (Live Online)

8 ratings at CourseHorse

Master the complete machine learning lifecycle with this hands-on course.

• CourseHorse
• 6 hours
• On-Demand
• $595.00

Whizlabs

Modeling in AWS

Train machine learning models in AWS, analyze performance, and implement automatic tuning. Gain hands-on experience with modeling concepts and evaluation techniques for the AWS Certified Machine Learning Specialty.

• Coursera
• 4 hours 5 minutes
• On-Demand
• Paid Course

Introduction to 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.

• Coursera
• 15 hours 7 minutes
• On-Demand
• Paid Course

Foundations of Generative AI Models

Master generative AI fundamentals, training techniques, and RAG implementation while exploring emerging trends and real-world applications across industries.

• Coursera
• 3 hours 36 minutes
• On-Demand
• Paid Course

AWS Certified Machine Learning - Specialty

Master the complete machine learning lifecycle on AWS, from data engineering to model deployment, preparing you for the specialty certification exam.

• Coursera
• 7 hours 28 minutes
• On-Demand
• Paid Course

Packt Microcredential

Mastering Machine Learning Algorithms using Python

Master machine learning algorithms with Python, from data preprocessing to model optimization. Learn statistical techniques and implement algorithms like linear regression through practical projects.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Coursera

Solving ML Regression Problems with AWS AutoGluon

Train powerful regression models quickly using AutoGluon, the library behind AWS SageMaker autopilot. Learn to prototype and evaluate multiple models efficiently with minimal code.

• Coursera
• 1 hour 54 minutes
• On-Demand
• Paid Course

Pragmatic AI Labs

MLOps Platforms: Amazon SageMaker and Azure ML

Elevate Your MLOps Game: Master AWS SageMaker and Azure ML for Production-Ready AI Solutions.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

Whizlabs

Azure ML: Explore & Configure the Machine Learning Workspace

Explore Azure ML workspace configuration, compute management, and data handling to build scalable machine learning solutions and prepare for DP-100 certification.

• Coursera
• 7 hours 1 minute
• On-Demand
• Paid Course

Packt

Essential Guide to LLMOps

Master essential strategies for deploying, monitoring, and optimizing Large Language Models in production environments through practical LLMOps workflows and governance.

• Coursera
• 9 hours 47 minutes
• On-Demand
• Paid Course

Azure Machine Learning: Train models with scripts

This course contains information about training machine learning models using scripts within the Azure Machine Learning platform. You will learn how to programmatically train models in Azure's cloud environment, focusing on a scripted approach to machine…

• edX
• 2 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

H2O.ai

H2O Gen AI Ecosystem Overview - Level 2

Dive into H2O's GenAI platform's advanced capabilities, from data preparation to model deployment, guided by Kaggle Grand Master Sanyam Bhutani through practical techniques and real-world applications.

• Coursera
• 1 hour 11 minutes
• On-Demand
• Paid Course

EDUCBA

TensorFlow: Build & Deploy Face Mask Detection

Master TensorFlow fundamentals and build a real-world face mask detection application using deep learning, computer vision, and Keras for practical AI deployment skills.

• Coursera
• 4 hours 11 minutes
• On-Demand
• Paid Course

Introduction to Image Generation

Learn how diffusion models power modern image generation. Explore their thermodynamic foundations, real-world use cases, text-to-image advancements, and how to train and deploy models on Vertex AI.

• edX
• 1 week, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Data Scientist

Explore cloud-based machine learning with Microsoft's program covering Azure ML workspace setup, model training with custom scripts, and deployment of scalable endpoints using Python and Azure ML SDKs.

• edX
• On-Demand
• $100.00
• 3 courses