Model Deployment Courses and Certifications

End-to-End Machine Learning

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

MLOps Fundamentals

Dive into the foundations of Machine Learning Operations (MLOps), learning the concepts of productionizing and monitoring machine learning models!

• DataCamp
• 14 hours
• On-Demand
• Free Trial Available

Introduction to MLflow

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning Engineer

This career track teaches you everything you need to know about machine learning engineering and MLOps.

• DataCamp
• 44 hours
• On-Demand
• Free Trial Available

Machine Learning in Production in Python

Elevate your machine learning skills to production level with this focused skill track.

• DataCamp
• 19 hours
• On-Demand
• Free Trial Available

Modeling the Iris Dataset with TensorFlow

Master TensorFlow fundamentals through hands-on practice with the Iris dataset, covering data preprocessing, model building, performance evaluation, early stopping implementation, and model deployment techniques.

• CodeSignal
• On-Demand
• Free Certificate

Modeling the Wine Dataset with PyTorch

Master PyTorch by building a wine classification model, from data preprocessing through model evaluation, visualization, and deployment - all using practical hands-on techniques.

• CodeSignal
• On-Demand
• Free Certificate

Operationalizing LLMs on Azure

33 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 21 minutes
• On-Demand
• Free Online Course (Audit)

Open Source LLMOps Solutions

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 11 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

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
• On-Demand
• Free Online Course (Audit)

Python for Machine Learning & Data Science Masterclass

16860 ratings at Udemy

Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!

• Udemy
• 1 day 20 hours 4 minutes
• On-Demand
• Paid Course

Complete Generative AI Course With Langchain and Huggingface

6080 ratings at Udemy

Complete Guide to Building, Deploying, and Optimizing Generative AI with Langchain and Huggingface

• Udemy
• 2 days 6 hours 7 minutes
• On-Demand
• Paid Course

Microcredential

Machine Learning Engineering for Production (MLOps)

Develop production-ready ML systems: conceptualize, build, and maintain integrated solutions that handle evolving data, operate continuously, and balance cost with performance for real-world AI applications.

• Coursera
• 17 weeks, 6 hours a week
• On-Demand
• Paid Course
• 4 courses

Google Cloud Professional Data Engineer: Get Certified 2022

4311 ratings at Udemy

Build scalable, reliable data pipelines, databases, and machine learning applications.

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

Modern Artificial Intelligence with Zero Coding

1660 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
• On-Demand
• Paid Course