
DeepLearning.AI
Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging
★ 4.9 (64K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Fine-tuning, Model Optimization, Generative AI, Application Deployment, AI Workflows, Generative Model Architectures, Model Training, AI Personalization, Image Quality, Configuration Management, Performance Tuning, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Machine Learning Methods, Regression Analysis, Model Training, Applied Machine Learning, Predictive Analytics, Model Evaluation, Machine Learning Software, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms, Classification Algorithms, Decision Tree Learning, Responsible AI, Model Optimization, Python Programming
★ 4.7 (78) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Generative AI, Model Evaluation, Dashboard Creation, Dashboard, Image Quality, Embeddings, Image Analysis, Large Language Modeling, Data Visualization, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation
★ 4.3 (178) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, Token Optimization, Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Performance Testing, Cross Platform Development, PyTorch (Machine Learning Library), Memory Management, Development Environment, Hardware Architecture, Scalability
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Model Evaluation, Regression Analysis, Verification And Validation, Feature Engineering, Plot (Graphics), Statistical Methods, Statistical Modeling, Scatter Plots, Data Transformation, Correlation Analysis, Statistical Analysis, R Programming, Statistical Inference, Statistical Hypothesis Testing
★ 4.9 (11) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Data Ethics, Model Deployment, Model Training, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis, Analysis
Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Model Training, Data Processing, AI Workflows, Data Preprocessing, Embeddings
★ 4.8 (196) · Intermediate · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Dependency Analysis
★ 4.6 (1.4K) · Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Responsible AI
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning
★ 4.5 (331) · Intermediate · Course · 1 - 4 Weeks