Model Deployment Courses and Certifications

Generative AI and Model Selection

Explore generative AI model selection, deployment options, and performance optimization. Master evaluation techniques and troubleshooting strategies for effective AI implementation in real-world projects.

• Coursera
• 3 hours 12 minutes
• Self-Paced
• Paid Course

No-Code Machine Learning: Practical Guide to Modern ML Tools

2515 ratings at Udemy

Build Powerful Machine Learning Models w/Zero Coding! Master Google Vertex AI, Microsoft Azure ML Designer, & DataRobot

• Udemy
• 6 hours 30 minutes
• Self-Paced
• Paid Course

Amazon SageMaker

2227 ratings at Udemy

Learn how to leverage the power of AWS SageMaker for your Machine Learning and AI Projects on AWS!

• Udemy
• 5 hours 4 minutes
• Self-Paced
• Paid Course

10 Days of No Code Artificial Intelligence Bootcamp

2192 ratings at Udemy

Build 10 AI projects in 10 days without coding using Google Teachable Machines, DataRobot, AWS Autopilot, and Vertex AI

• Udemy
• 12 hours 20 minutes
• Self-Paced
• Paid Course

Google Cloud Machine Learning Engineer Certification Prep

1998 ratings at Udemy

Building, Deploying, and Managing Machine Learning Services at Scale

• Udemy
• 5 hours 15 minutes
• Self-Paced
• Paid Course

Modern Artificial Intelligence with Zero Coding

1823 ratings at Udemy

Build 5 Practical Projects & Harness the Power of AI to solve practical, real-world business problems with Zero Coding!

• Udemy
• 9 hours 33 minutes
• Self-Paced
• Paid Course

Credential

SAS Machine Learning Engineer

105 ratings at Coursera

Master machine learning fundamentals, model deployment, and ModelOps using SAS Viya with hands-on projects and industry-recognized certification preparation.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

AWS Machine Learning Certification Exam | Complete Guide

1470 ratings at Udemy

500+ Slides | 200+ Questions | Become Certified in AWS ML| SageMaker|Data Engineering | Visualization | Model Deployment

• Udemy
• 16 hours 52 minutes
• Self-Paced
• Paid Course

Build and Operate Machine Learning Solutions with Azure

71 ratings at Coursera

Aprende a usar Azure Machine Learning para crear, desplegar y gestionar soluciones de ML a escala empresarial, aprovechando tus conocimientos de Python y frameworks como Scikit-Learn, PyTorch y Tensorflow.

• Coursera
• 1 day 6 hours 54 minutes
• Self-Paced
• Paid Course

Packt

Essential Guide to LLMOps

1 rating

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
• Self-Paced
• Paid Course

Regression Modeling Fundamentals

53 ratings at Coursera

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

• Coursera
• 11 hours 57 minutes
• Self-Paced
• Paid Course

Coursera

Predictive Analytics for Business with H2O in R

53 ratings at Coursera

Automate machine learning for business predictions using H2O in R. Learn to apply AutoML techniques, interpret results, and solve real-world problems with data-driven insights.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Developing Generative AI Solutions

40 ratings at Coursera

Explore the generative AI lifecycle: from defining use cases to deploying models. Learn to select, improve, and evaluate foundation models for impactful business solutions.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

LLMOps

36 ratings at Coursera

Develop an LLMOps pipeline: preprocess data, configure tuning, deploy custom LLMs, and monitor safety for tailored applications like Python coding chatbots using BigQuery, Kubeflow, and Google Cloud.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

EDUCBA

DP-100 Microsoft Azure DS Exam

29 ratings at Coursera

Master end-to-end Azure ML solutions: design, implement, and deploy machine learning models using Azure ML Designer, SDK automation, AutoML, and production-ready compute targets.

• Coursera
• 9 hours 32 minutes
• Self-Paced
• Paid Course