Model Deployment Courses and Certifications

Machine Learning Product Management: A Practical Guide

661 ratings at Udemy

Kick start your career in Machine Learning Product Management with just one course.

• Udemy
• 4 hours 44 minutes
• On-Demand
• Paid Course

Databricks Certified Machine Learning Associate Exam Guide

624 ratings at Udemy

Pass Databricks Certified Machine Learning Associate Certification with 10+ Hours of HD Quality Video & Lots of Hands-on

• Udemy
• 16 hours 6 minutes
• On-Demand
• Paid Course

Microcredential

Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

617 ratings at Coursera

Comprehensive training for data scientists to build and operate machine learning solutions in Azure, covering resource management, experimentation, deployment, and responsible ML practices.

• Coursera
• 8 weeks, 10 hours a week
• On-Demand
• Paid Course
• 5 courses

Machine Learning No-Code Approach: Using Azure ML Studio

583 ratings at Udemy

A hands-on approach to Machine Learning using the easy drag-n-drop environment of Azure Machine Learning Studio

• Udemy
• 2 hours 41 minutes
• On-Demand
• Paid Course

Operationalizing LLMs on Azure

51 ratings at Coursera

Explore Azure's AI services, deploy LLMs, optimize interactions, and build robust applications using Azure Machine Learning, OpenAI Service, and advanced techniques like RAG and Semantic Kernel.

• Coursera
• 10 hours 41 minutes
• On-Demand
• Paid Course

Open Source LLMOps Solutions

26 ratings at Coursera

Gain hands-on experience deploying open-source LLMs, from understanding fundamentals to fine-tuning models and building AI applications using a code-first approach.

• Coursera
• 1 day 12 hours 14 minutes
• On-Demand
• Paid Course

Advanced Model-Driven Apps with Power Apps: Configuration, Customization, and Deployment Techniques

Master advanced Power Apps techniques for building sophisticated model-driven applications, from configuring forms and dashboards to customizing command bars, embedding canvas apps, and implementing business process flows.

• Microsoft Learn
• 3 hours 55 minutes
• On-Demand
• Free Online Course

AWS Certified Machine Learning Specialty Practice Exams

443 ratings at Udemy

AWS Certified Machine Learning Practice Tests w/ Complete Explanations and References that covers all MLS-C01 topics!

• Udemy
• On-Demand
• Paid Course

End-to-End Machine Learning: From Idea to Implementation

425 ratings at Udemy

Build, Manage, and Deploy Machine Learning (AI) Projects with Python and MLOps

• Udemy
• 1 day 11 hours 56 minutes
• On-Demand
• Paid Course

Master in Generative AI (Artificial Intelligence) (Gen AI)

406 ratings at Udemy

Design, train, optimize, integrate & deploy genai models like chatgpt, GANs- Generative Adversarial Networks. Agentic ai

• Udemy
• 9 hours 51 minutes
• On-Demand
• Paid Course

Google Certified Professional Machine Learning Engineer

365 ratings at Udemy

Master ML Algorithms, Data Modeling, TensorFlow & Google Cloud AI/ML Services. 137 Questions, Answers with Explanations

• Udemy
• 16 hours 32 minutes
• On-Demand
• Paid Course

Master in Artificial Intelligence (AI) Engineering

339 ratings at Udemy

Develop machine nd deep learning models to become AI Engineer with agentic ai, n8n, automation, claude code, vibe coding

• Udemy
• 8 hours 24 minutes
• On-Demand
• Paid Course

AWS Certified Machine Learning Specialty MLS-C01

323 ratings at Udemy

[2025] Ace your AWS Certified Machine Learning Specialty Exam [MLS-C01] | AWS Machine Learning Practice Test included

• Udemy
• 15 hours 15 minutes
• On-Demand
• Paid Course

Microsoft Azure Machine Learning

291 ratings at Coursera

Learn to create and deploy machine learning models using Azure's automated tools, without coding. Explore regression, classification, and clustering techniques for predictive analysis.

• Coursera
• 11 hours 23 minutes
• On-Demand
• Paid Course

Generative AI Mastery With 15+ Real Time Projects

263 ratings at Udemy

A Comprehensive Guide to Building, Deploying, and Optimizing Generative AI using Langchain and Huggingface with project.

• Udemy
• 20 hours 36 minutes
• On-Demand
• Paid Course