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
Google Cloud
Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Google Cloud Platform, Model Deployment, Machine Learning
EDHEC Business School
Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Investments, Portfolio Risk, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Financial Modeling, Supervised Learning, Predictive Analytics, Market Data, Feature Engineering, Unsupervised Learning, Regression Analysis, Statistical Methods, Analysis, Estimation, Risk Analysis, Computer Science
Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Cloud Deployment, Devops Tools, Data Store, Continuous Deployment
Skills you'll gain: Matplotlib, Data Visualization, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Data Presentation, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Model Training, Machine Learning, Feature Engineering, Applied Machine Learning, Data Pipelines, Python Programming, Numerical Analysis, Data Analysis
University of Colorado System
Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Brute-force attacks, Key Management, Advanced Encryption Standard (AES), Cryptographic Protocols, Encryption, Data Integrity, Cybersecurity, Computer Security, Information Assurance, Authentications, Data Security, Theoretical Computer Science, Threat Modeling, Communication Systems, Algorithms, Digital Communications
Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Statistical Visualization, Predictive Modeling, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Data Processing, Data Science, Predictive Analytics, Data Manipulation, Deep Learning, Data Wrangling, Machine Learning, Model Evaluation, Regression Analysis, Python Programming
Skills you'll gain: Model Evaluation, ChatGPT, Fine-tuning, Keras (Neural Network Library), Model Training, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning
University of California San Diego
Skills you'll gain: Bioinformatics, Diagnostic Tests, Computational Thinking, Model Evaluation, Epidemiology, Molecular, Cellular, and Microbiology, Infectious Diseases, Informatics, Network Analysis, Molecular Biology, Medical Science and Research, Biotechnology, Biochemistry, Data Mining, Life Sciences, Scientific Visualization, Data Synthesis, Data Literacy, Microbiology, Science and Research
Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning Software, Machine Learning, Data Validation, Data Wrangling, Machine Learning Algorithms, Data Integrity, Data Import/Export, Data Analysis
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Model Training, Data Validation, Google Cloud Platform, Tensorflow, Model Optimization, Applied Machine Learning, Systems Architecture, Software Architecture, Distributed Computing, Performance Tuning, Scalability, Data Pipelines, Hybrid Cloud Computing, Dependency Analysis
In summary, here are 10 of our most popular applied machine learning courses
- BigQuery Machine Learning für Inferenzen nutzen: Google Cloud
- Python and Machine Learning for Asset Management: EDHEC Business School
- Scikit-Learn For Machine Learning Classification Problems: Coursera
- Machine Learning with R: Build, Analyze & Predict: EDUCBA
- Machine Learning Operations (MLOps) on Google Cloud: Google Cloud
- Learn & Build Machine Learning Models with Python: EDUCBA
- Applied Cryptography: University of Colorado System
- Medical Insurance Premium Prediction with Machine Learning: Coursera
- Machine Learning with ChatGPT: Image Classification Model: Coursera
- Applied Bioinformatics: University of California San Diego
