Model Selection Courses and Certifications

Getting Started with Mistral

13 ratings at Coursera

Explore Mistral AI models, learn effective prompting, function calling, and RAG. Build a chat interface to leverage these powerful tools for various tasks from classification to advanced coding.

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

MITCBMM

FMRI Bootcamp - Representational Similarity

Explore advanced fMRI analysis techniques, focusing on representational similarity and its applications in neuroimaging research.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Elvis Saravia

Selecting the Right Large Language Model - A Systematic Approach

Systematic framework for experimenting with and selecting the optimal LLM, considering factors like performance, cost, and specific use case requirements.

• YouTube
• 17 minutes
• On-Demand
• Free Video

Simons Foundation

Stabilizing Black-Box Model Selection

Explore a new approach to stabilizing model selection that combines bagging with an "inflated" argmax operation, offering theoretical stability guarantees and practical applications in ecosystem competition and graph estimation.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

AI Bites

Model Router: Choosing the Right AI Model Using NotDiamond API

Discover how to effectively select and implement AI models using NotDiamond's model routing API, comparing top models like GPT-4, Claude 3, and Gemini for optimal task-specific performance.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

All Models Are Wrong, Some Are Useful: Model Selection with Limited Labels

Discover MODEL SELECTOR, a framework that efficiently identifies the best pretrained classifier using minimal labeled data, reducing labeling costs by up to 94.15% across 1,500+ models on 16 datasets.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Simons Foundation

Stabilizing Black-Box Model Selection - April 3, 2025

Explore a new approach to stabilizing model selection that combines bagging with an "inflated" argmax operation, offering theoretical stability guarantees and practical applications in ecosystem competition and graph estimation.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

AI Engineer

The LLM Triangle - Engineering Principles for Robust AI Applications

Master the LLM Triangle framework to build production-ready AI applications that overcome hallucinations, inconsistency, and scalability challenges through proven engineering principles.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Regression Models

33 reviews

Explore linear and generalized regression models, covering least squares, multivariable analysis, diagnostics, and applications in data science. Learn to interpret results and select appropriate models.

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

Statistical Learning with Python

22 ratings at edX

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in Python.

• edX
• 11 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

AI and Machine Learning

Gain insights into building ML pipelines, analyzing data, and driving innovation with hands-on AI and machine learning training and instructor support.

• Pragmatic Institute
• On-Demand
• $999.00

Foundations of PySpark

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

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

Practicing Machine Learning Interview Questions in Python

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

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

PyTorch and Deep Learning for Decision Makers

Explore PyTorch's ecosystem for AI applications, focusing on data quality, model selection, and deployment challenges to make informed decisions in integrating AI into business processes.

• edX
• 7 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Practicing Machine Learning Interview Questions in R

Prepare for your upcoming machine learning interview by working through these practice questions that span across important topics in machine learning.

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