Model Development Courses and Certifications

Machine Learning Foundations for Product Managers

797 ratings at Coursera

Build foundational understanding of machine learning, including model development, evaluation, and common algorithms. Gain hands-on experience training and optimizing a model for a real-world problem.

• Coursera
• 16 hours 2 minutes
• Self-Paced
• Paid Course

Introducing MLOps: From Model Development to Deployment (AI)

478 ratings at Udemy

A Practical Guide to Building, Automating, and Scaling Machine Learning Pipelines with Modern Tools and Best Practices

• Udemy
• 1 hour 49 minutes
• Self-Paced
• Paid Course

A New Method For Product Development & Design: SIMPSIS-Model

210 ratings at Udemy

A Comprehensive Motivation Framework for Product Owners, Managers, (UX) Designers, and IT & SaaS Startup Entrepreneurs

• Udemy
• 3 hours 1 minute
• Self-Paced
• Paid Course

Build the model layer of a web app using Mongoose and TDD. Learn to write tests that confirm intended behavior, focusing on Mongoose fundamentals and model testing patterns.

• Codecademy
• 2 hours
• Self-Paced
• Free Trial Available

Foundations of AI and Machine Learning

260 ratings at Coursera

Master the fundamentals of AI/ML infrastructure, from data pipelines to deployment platforms. Learn to build robust systems, manage data effectively, select frameworks, and implement production-ready solutions.

• Coursera
• 1 day 11 hours 40 minutes
• Self-Paced
• Paid Course

AI Engineer

Pydantic is All You Need - Model Driven Development with OpenAI Function Calls

Discover how to leverage Pydantic with OpenAI's function_call feature for model-driven development, transforming string-based prompts into structured code for better data modeling.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Learn SketchUp Pro the Right Way!

2834 ratings at Udemy

Learn SketchUp from an expert. Build strong habits and create accurate, efficient 3D models like a pro.

• Udemy
• 7 hours 32 minutes
• Self-Paced
• Paid Course

Analyzing Data with R

171 ratings at edX

R is the key that opens the door between the problems you want to solve with data and the answers you need. This course walks you through the process of answering questions through data.

• edX
• 6 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Developing Machine Learning Solutions

117 ratings at Coursera

Explore the ML lifecycle, AWS services, model evaluation, and MLOps to streamline development and deployment of ML projects.

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

Logistic Regression using SAS - Indepth Predictive Modeling

1147 ratings at Udemy

Analytics /Machine Learning / Data Science: Statistical / Econometrics foundation, SAS Program details, Modeling demo

• Udemy
• 17 hours 57 minutes
• Self-Paced
• Paid Course

Coursera Credential

Managing AI Projects That Ship and Scale

6 ratings at Coursera

Master AI project management from strategy to deployment, covering risk mitigation, data governance, model development, MLOps, and stakeholder communication through hands-on scenarios.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 14 courses

Introduction to Machine Learning and Algorithmic Bias

Explore AI and machine learning fundamentals while mastering algorithmic bias detection and mitigation strategies for responsible business applications.

• Coursera
• 6 hours 48 minutes
• Self-Paced
• Paid Course

Packt

AI Product Management: The Complete Handbook

Master AI product management by bridging data science, engineering, and business strategy to build, launch, and scale AI-powered products with real-world case studies and ethical considerations.

• Coursera
• 1 day 5 hours 12 minutes
• Self-Paced
• Paid Course

Coursera

GenAI for Data Science Teams

Explore how generative AI enhances data science workflows, from augmentation to model development, empowering teams to innovate and optimize project outcomes.

• Coursera
• 2 hours 4 minutes
• Self-Paced
• Paid Course

Starweaver Credential

GenAI Data and Analytics Academy

Master building production-ready AI systems from data pipelines to autonomous agents, covering prompt engineering, RAG systems, model development, and deployment at scale.

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