Applied Machine Learning Courses
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.
Popular Applied Machine Learning Courses and Certifications
Status: PreviewGoogle Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Applied Machine Learning, Text Mining
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Model Evaluation, Applied Machine Learning, Machine Learning
Status: Free TrialGoogle Cloud
Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Recurrent Neural Networks (RNNs)
Google Cloud
Skills you'll gain: Data Analysis, Big Data, Analytics, Applied Machine Learning, Model Evaluation, Predictive Modeling, Machine Learning
Google Cloud
Skills you'll gain: Gemini, Artificial Intelligence and Machine Learning (AI/ML), Customer Insights, Applied Machine Learning, Customer Analysis, Generative AI, Data Integration, Predictive Analytics, Customer Data Management, Time Series Analysis and Forecasting, Marketing Strategies
Google Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Deployment, Recurrent Neural Networks (RNNs), Autoencoders, Applied Machine Learning, Natural Language Processing, Embeddings
Skills you'll gain: Responsible AI, Data Ethics, Applied Machine Learning, Model Evaluation, Artificial Intelligence, Machine Learning
Google Cloud
Skills you'll gain: Google Gemini, Customer Relationship Management, Generative AI, Applied Machine Learning, Big Data, Predictive Modeling, Query Languages, Data Analysis
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Processing, Data Modeling, Data Management, Applied Machine Learning, Data Storage, Data Import/Export, Scalability
Google Cloud
Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Statistical Inference, Model Evaluation, Google Cloud Platform, Machine Learning Methods, SQL
Status: Free TrialGoogle Cloud
Skills you'll gain: Prompt Engineering, Google Gemini, Prompt Patterns, Generative AI, Multimodal Prompts, Applied Machine Learning, Model Deployment, Google Cloud Platform
Status: NewSkills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Data Visualization, Data Visualization Software, Grafana, Graphing, Data Analysis, Splunk, Real Time Data, Anomaly Detection, Applied Machine Learning, Time Series Analysis and Forecasting, Query Languages, SQL, Role-Based Access Control (RBAC), Qualitative Research
In summary, here are 10 of our most popular applied machine learning courses
- Encoder-Decoder Architecture - 繁體中文: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - 简体中文: Google Cloud
- Görüntülere Altyazı Ekleme Modelleri Oluşturma: Google Cloud
- BigQuery 머신러닝을 사용한 추론: Google Cloud
- Gemini for Data Scientists and Analysts - 한국어: Google Cloud
- Encoder-Decoder Architecture - Deutsch: Google Cloud
- Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro: Google Cloud
- Work with Gemini Models in BigQuery - 日本語版: Google Cloud
- MLOps with Vertex AI: Manage Features - Français: Google Cloud
- Usar o BigQuery ML para inferência: Google Cloud
