Model Selection Courses and Certifications

Krish Naik

EvalML AutoML Library to Automate Feature Engineering, Feature Selection, Model Creation and Tuning

Explore EvalML, an AutoML library automating feature engineering, selection, model creation, and tuning. Learn to streamline your data science workflow and improve project efficiency.

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

Envato Tuts+

Continuous Integration: Database Selection and Model Creation - Day 2

Learn database selecting techniques, including creating models, using Active Records, query bindings, and testing, to enhance your database management skills.

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

John Savill's Technical Training

Using Foundry's Model Router to Simplify Optimal AI Model Selection

Discover how Microsoft Foundry's Model Router streamlines AI model selection for optimal performance in applications and agents through automated routing methods.

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

Krish Naik

Step-by-Step Machine Learning Project Implementation: EDA, Feature Engineering, Selection, and Model Training

Comprehensive guide to implementing a machine learning project, covering data cleaning, EDA, feature engineering, selection, model training, and hyperparameter tuning.

• YouTube
• 1 hour 26 minutes
• Self-Paced
• Free Video

Discover AI

LLMs at Their Breaking Point: Performance Analysis and Model Selection - Part 1

Gain insights into LLM model selection, performance metrics, and scaling limitations through practical examples and mathematical analysis of pass@k probability in AI systems.

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

Fields Institute

Guiding Model-Driven Combination Dose Selection Using Multi-Objective Synergy Optimization

Explore model-driven combination dose selection through multi-objective synergy optimization in mathematical oncology research.

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

Data Science Festival

Choosing the Right LLM - A Framework for Model Evaluation and Selection

Discover a systematic approach to evaluating and selecting Large Language Models for specific tasks, focusing on practical frameworks and custom testing methods for optimal results.

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

Learn how to fit, interpret, and compare linear regression models in Python.

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

Explore transformers, the core of GPT models, and apply them to text generation and sentiment analysis using Hugging Face libraries. Learn about their history and environmental impact.

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

Explore techniques for selecting and evaluating linear regression models, interpreting results, and making data-driven recommendations for optimal model choice.

• Codecademy
• 1 hour
• Self-Paced
• Free Trial Available

Amazon Web Services;  Amazon

AWS Flash - Operationalize Generative AI Applications (FMOps/LLMOps)

Explore challenges and tools for productionizing LLMs, covering selection, evaluation, RAG, fine-tuning, monitoring, governance, and architecture on AWS. Learn to operationalize generative AI applications effectively.

• AWS Skill Builder
• 1 hour 30 minutes
• Self-Paced
• Free Certificate

This IBM Learning Labs course 48 hours of lab time for hands-on exploration of watsonx.ai: Introduction to Generative AI Models Lab. This lab introduces the various foundation models available in watsonx.ai, and information to gain an understanding of th…

• IBM Training
• 2 hours
• Self-Paced
• Free Online Course

Master prompt engineering and LLM integration in SAP's Generative AI Hub to solve real business problems with scalable, enterprise-ready AI solutions.

• SAP Learning
• 3 hours 5 minutes
• Self-Paced
• Free Online Course

Selection and Implementation of AI Models: Speech2Summary

Discover how to select and implement AI models for speech-to-summary applications through practical workshop content and hands-on implementation strategies.

• openHPI
• 13 weeks
• Self-Paced
• Free Certificate

Perform data science with Azure Databricks

Comprehensive data science training using Azure Databricks, covering Spark architecture, data manipulation, machine learning workflows, MLflow, hyperparameter tuning, and model deployment with Azure Machine Learning.

• Microsoft Learn
• 8-9 hours
• Self-Paced
• Free Online Course