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
Skills you'll gain: Kibana, Dashboard Creation, Dashboard, Interactive Data Visualization, Data Visualization, Data Visualization Software, Data Presentation, Grafana, Graphing, Data Analysis, Splunk, Real Time Data, Exploratory Data Analysis, Anomaly Detection, Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Query Languages, SQL, Qualitative Research
Status: PreviewGoogle Cloud
Skills you'll gain: Cloud Deployment, Google Cloud Platform, Serverless Computing, Model Deployment, Generative AI, Cloud Applications, AI Integrations, Model Optimization, Applied Machine Learning, Containerization, Machine Learning Methods, Scalability
Status: NewStatus: Free TrialWhizlabs
Skills you'll gain: AI Personalization, Amazon Web Services, Image Analysis, Artificial Intelligence, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Text Mining, AI Workflows, AI Integrations, Applied Machine Learning, Unstructured Data
Status: NewSkills you'll gain: Google Cloud Platform, Model Deployment, Model Optimization, Serverless Computing, Cloud Deployment, Generative AI, Cloud Applications, AI Integrations, Data Integration, Data Storage Technologies, Applied Machine Learning, Scalability
Google Cloud
Skills you'll gain: Dashboard Creation, Looker (Software), Dashboard, Data Analysis, Data Presentation, Analytics, SQL, Data Preprocessing, Google Cloud Platform, Interactive Data Visualization, Big Data, Data Visualization Software, Query Languages, Exploratory Data Analysis, Applied Machine Learning, Data Warehousing, Data Processing, Cloud Storage
Google Cloud
Skills you'll gain: Google Gemini, Gemini, Generative AI, Google Cloud Platform, Large Language Modeling, Customer Relationship Management, AI literacy, Applied Machine Learning, SQL, AI Integrations, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis
Google Cloud
Skills you'll gain: Model Deployment, Cloud Deployment, Google Cloud Platform, Generative AI, Serverless Computing, Application Deployment, AI Integrations, Model Optimization, Applied Machine Learning, Cloud Services, Scalability, Performance Tuning
Google Cloud
Skills you'll gain: Data Lakes, Data Governance, Google Cloud Platform, Data Storage Technologies, Data Storage, Data Management, Data Warehousing, Data Architecture, Operational Data Store, Advanced Analytics, Cloud Storage, Big Data, Analytics, Data Security, Applied Machine Learning, Open Source Technology
University of Colorado Boulder
Skills you'll gain: Model Evaluation, Data Mining, Supervised Learning, Unsupervised Learning, Service Level, Dimensionality Reduction, Deep Learning, Statistical Modeling, Probability, Applied Machine Learning, Anomaly Detection, Machine Learning Algorithms, Statistical Inference, Statistical Hypothesis Testing, Statistical Machine Learning, Data Warehousing, Model Training, Performance Testing, Bash (Scripting Language), Data Science
In summary, here are 9 of our most popular applied machine learning courses
- Kibana 8.x – A Quick Start Guide to Data Analysis: Packt
- Cloud Run으로 AI 모델 배포 및 확장하기: Google Cloud
- AWS: AI Services: Whizlabs
- Mendeploy dan Menskalakan Model AI dengan Cloud Run: Google Cloud
- Google Cloud 資料分析簡介: Google Cloud
- Work with Gemini Models in BigQuery - 繁體中文: Google Cloud
- 使用 Cloud Run 部署及擴充 AI 模型: Google Cloud
- Google Cloud 에서 데이터 레이크와 데이터 웨어하우스 빌드하기: Google Cloud
- Data Science Graduate Certificate: University of Colorado Boulder
