
UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning
Intermediate Ā· Course Ā· 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
Beginner Ā· Specialization Ā· 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Computer Vision, Applied Machine Learning, Classification Algorithms, Model Deployment, Data Preprocessing, Network Architecture, Model Evaluation
Mixed Ā· Course Ā· 1 - 4 Weeks

Alberta Machine Intelligence Institute
Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Image Analysis, Embeddings, Autoencoders, Convolutional Neural Networks, Responsible AI, Computer Vision, Music, Recurrent Neural Networks (RNNs)
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Data Preprocessing
Intermediate Ā· Course Ā· 1 - 3 Months

University of Maryland, College Park
Skills you'll gain: Digital Transformation, Business Transformation, Customer experience strategy (CX), Data Strategy, Applied Machine Learning, Business Modeling, Analytics, Organizational Change, Machine Learning Software, Technology Strategies, Business Analytics, Customer Insights, Innovation, Organizational Strategy, Machine Learning, Business Strategy, Workforce Development, Strategic Decision-Making, Forecasting, Competitive Analysis
Beginner Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
Mixed Ā· Course Ā· 1 - 4 Weeks

Google Cloud
Skills you'll gain: Multi-Tenant Cloud Environments, Kubernetes, Role-Based Access Control (RBAC), Capacity Management, Google Cloud Platform, System Monitoring, DevOps, Cloud Infrastructure
Intermediate Ā· Project Ā· Less Than 2 Hours

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture
Beginner Ā· Specialization Ā· 1 - 3 Months

Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning
Intermediate Ā· Course Ā· 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Cloud Platform, Google Workspace, Natural Language Processing, Scripting, Cloud API, Document Management, Machine Learning
Intermediate Ā· Project Ā· Less Than 2 Hours