
Skills you'll gain: Generative AI, Google Cloud Platform, Generative AI Agents, MLOps (Machine Learning Operations), AI Workflows, Agentic systems, Cloud Infrastructure, Artificial Intelligence, Model Training, Model Deployment, Big Data, Machine Learning, Predictive Modeling, Model Evaluation, No-Code Development
★ 4.3 (17) · Beginner · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, Machine Learning Methods, No-Code Development, Model Training, Machine Learning, Machine Learning Algorithms, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Import/Export, Data Validation
Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies
★ 4.1 (15) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Gemini, Google Gemini, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, AI Workflows, Artificial Intelligence, Model Training, Applied Machine Learning, Cloud Infrastructure, Machine Learning, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Application Deployment, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Google Cloud Platform, Machine Learning, Machine Learning Methods, Machine Learning Software, Model Deployment, Data Preprocessing, Applied Machine Learning, Data Quality, Model Training, Keras (Neural Network Library), Machine Learning Algorithms, Statistical Machine Learning, Embeddings, Fine-tuning, MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Dataflow
★ 4.4 (152) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Model Deployment, Google Cloud Platform, Model Training, Data Quality, Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Keras (Neural Network Library), Machine Learning, Embeddings, Cloud Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), AI Product Strategy, Dataflow, Deep Learning
★ 4.7 (92) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Data Pipelines, Machine Learning, Jupyter, Artificial Intelligence
Intermediate · Course · 1 - 3 Months
Northeastern University
Skills you'll gain: Journey Mapping, Decision Support Systems, Business Solutions, AI Product Strategy, Predictive Analytics, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Predictive Modeling, Customer Analysis, AI Integrations, Applied Machine Learning, Healthcare Industry Knowledge, Artificial Intelligence, Machine Learning, Machine Learning Algorithms, Model Evaluation
★ 4.4 (84) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Embedded Systems, Tensorflow, Applied Machine Learning, Data Processing, Embedded Software, Data Preprocessing, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Machine Learning Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment
★ 4.2 (9) · Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Data Preprocessing, Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, Model Training, Data Governance, Data Management, Data Processing, AI Workflows, Model Optimization, Machine Learning Methods, Workflow Management, Model Evaluation, Applied Machine Learning, Data Pipelines, Machine Learning, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Machine Learning Methods, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Machine Learning Algorithms
Beginner · Specialization · 3 - 6 Months