Model Deployment Courses and Certifications

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
• On-Demand
• 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
• On-Demand
• Paid Course

SAT Certified Practitioner Exam Prep

40 ratings at Udemy

Learn SAT Certified Practitioner and Pass the exam in your first attempt

• Udemy
• 2 days 4 hours 31 minutes
• On-Demand
• Paid Course

Deploy ML Model in Production with FastAPI and Docker

37 ratings at Udemy

Learn ML deployment using FastAPI, Docker, CI/CD, and Cloud platforms

• Udemy
• 3 hours 57 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

Developing Generative AI Solutions

36 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
• On-Demand
• Paid Course

Microsoft Azure for AI and Machine Learning

25 ratings at Coursera

Master Azure's AI and ML capabilities through hands-on experience, from configuring resources to deploying models in production, while learning end-to-end ML pipeline implementation and monitoring.

• Coursera
• 21 hours 51 minutes
• On-Demand
• Paid Course

Introduction to On-Device AI

26 ratings at Coursera

Learn to deploy AI models on edge devices, reducing latency and enhancing privacy. Master key concepts, convert models, optimize performance, and integrate into mobile apps for efficient on-device AI.

• Coursera
• 1 hour 30 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

EDUCBA Microcredential

AI Driven Machine Learning with Python

10 ratings at Coursera

Master AI-driven machine learning through hands-on Python projects, from data preprocessing to model deployment, with real-world applications in healthcare and image detection.

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

Microcredential

Integrate Generative AI Into Your Data Workflow

12 ratings at Coursera

Master BigQuery ML and Gemini models for advanced data analysis, predictive modeling, and AI-powered workflow optimization in Google Cloud console through hands-on labs.

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

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

Microcredential

Data Science Fundamentals, Part 1

5 ratings at Coursera

Master the complete data science workflow from data acquisition to ML model deployment using Python, with hands-on exercises and real-world applications.

• Coursera
• 4 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses

Whizlabs Microcredential

Exam Prep DP-100: Microsoft Azure Data Scientist Associate

5 ratings at Coursera

Master Azure data science and machine learning with hands-on training in ML model design, deployment, and optimization to earn Microsoft DP-100 certification.

• Coursera
• 16 weeks, 28 hours a week
• On-Demand
• Paid Course
• 4 courses

Designing and Implementing a Data Science Solution (Live Online)

8 ratings at CourseHorse

Master the art of designing and implementing data science solutions on Azure with this comprehensive course.

• CourseHorse
• 27 hours
• On-Demand
• $2,295.00