
LearnQuest
Skills you'll gain: Data Preprocessing, Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Machine Learning Methods, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming
★ 4.1 (14) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Decision Intelligence, Model Evaluation, Model Optimization, Data-Driven Decision-Making, Applied Machine Learning, A/B Testing, Statistical Machine Learning, Machine Learning Methods, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Machine Learning Algorithms, Performance Analysis, Statistical Analysis, Regulatory Requirements
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis
★ 4.9 (8) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security
★ 3.7 (71) · Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Training, Model Deployment, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Feature Engineering, Statistical Machine Learning, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification Algorithms, Model Training, Applied Machine Learning, Java, Java Programming, Model Optimization, Predictive Modeling, Machine Learning Software, Supervised Learning, Technical Communication, Fine-tuning, Tree Maps, MLOps (Machine Learning Operations), Machine Learning Algorithms, Algorithms
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Data Preprocessing, AI Workflows, Fine-tuning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Machine Learning Algorithms, Java, Software Design Patterns, Data-Driven Decision-Making, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Data Preprocessing, Pandas (Python Package), NumPy
★ 4.4 (17) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Random Forest Algorithm, Model Training, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
★ 5 (12) · Mixed · Course · 1 - 4 Weeks
Skills you'll gain: Fine-tuning, Hugging Face, LLM Application, Model Optimization, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, AI Product Strategy, Transfer Learning, Model Training, Applied Machine Learning, AI Personalization, Model Evaluation, Performance Tuning, Model Based Systems Engineering, Memory Management, Program Evaluation, Analysis, Probability Distribution
Intermediate · Course · 1 - 4 Weeks