Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence, Model Deployment, Technical Design, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

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, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms
Beginner · Specialization · 3 - 6 Months

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 Methods, Artificial Neural Networks, Machine Learning Algorithms, Model Training, Convolutional Neural Networks, Feature Engineering, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Microarchitecture
Intermediate · Course · 1 - 3 Months

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

Macquarie University
Skills you'll gain: Cryptography, Encryption, Network Security, Cybersecurity, Security Engineering, Network Protocols, Federated Learning, Security Management
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Machine Learning, Google Cloud Platform, Model Deployment, Data Preprocessing, Applied Machine Learning, Cloud Storage, Data Quality, Cloud Computing, Model Training, Keras (Neural Network Library), Machine Learning Algorithms, Embeddings, Fine-tuning, Supervised Learning, Deep Learning, Data Cleansing, Dataflow
Intermediate · Specialization · 3 - 6 Months

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
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, 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

Coursera
Skills you'll gain: Applied Machine Learning, Predictive Modeling, Jupyter, Predictive Analytics, Model Evaluation, Model Optimization, Data Analysis, Machine Learning, Data Science, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Data Preprocessing, MLOps (Machine Learning Operations), Workflow Management, AI Workflows, Data Governance, Data Management, Model Deployment, Model Training, Enterprise Modeling, Data Store, Google Cloud Platform, Model Optimization, Data Processing, AI Orchestration, Model Evaluation, Applied Machine Learning, Tensorflow, Data Pipelines
Intermediate · Course · 1 - 3 Months
Northeastern University
Skills you'll gain: Journey Mapping, Health Informatics, Decision Support Systems, AI Enablement, Business Analytics, Data Compilation, AI Product Strategy, Predictive Analytics, Data-Driven Decision-Making, Health Technology, Advanced Analytics, Care Management, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Predictive Modeling, AI Integrations, Applied Machine Learning, Healthcare Industry Knowledge, Value-Based Care, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Machine Learning Methods, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Cloud Platforms, Jupyter, Machine Learning, Predictive Modeling, Natural Language Processing
Intermediate · Course · 1 - 3 Months