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: 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

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: Google Cloud Platform, MLOps (Machine Learning Operations), Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering Tools, AI Workflows, Cloud Infrastructure, Agentic Workflows, Big Data, Data Infrastructure, Model Deployment, Natural Language Processing, Prompt Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Large Language Modeling, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: DeepSeek API, LLM Application, Deepseek, Generative AI Agents, Prompt Engineering, AI Workflows, Tool Calling, Model Deployment, AI Orchestration, Agentic Workflows, Prompt Patterns, Large Language Modeling, AI Integrations, Cloud Deployment, Gemini, OpenAI, Application Deployment, Generative AI, Agentic systems, Data Science
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 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

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

Google Cloud
Skills you'll gain: Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, AI Workflows, Artificial Intelligence, Prompt Engineering, Natural Language Processing, Large Language Modeling, Applied Machine Learning, Agentic Workflows, Model Deployment, Model Training, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Database Design, Data Presentation, Ggplot2, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Data Collection, Predictive Modeling, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Shiny (R Package), SQL, R (Software), Data Manipulation, Web Scraping
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Machine Learning Methods, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Jupyter, Machine Learning, Predictive Modeling, Natural Language Processing
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, 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: Google Cloud Platform, Model Deployment, Unstructured Data, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Model Training, Cloud API, Analytics, Jupyter, Machine Learning
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