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: Free TrialGoogle Cloud
Skills you'll gain: Google Gemini, Gemini, AI Security, Cloud Deployment, Customer Insights, Customer Analysis, Kubernetes, Generative AI, Customer Data Management, Big Data, Google Cloud Platform, Test Script Development, Software Development Life Cycle, Cloud Security, Development Testing, Virtual Networking, Application Deployment, DevOps, Application Development, Security Engineering
Status: Free TrialUniversity of Michigan
Skills you'll gain: Generative AI, Prompt Engineering, Instructional Design, Design Strategies, Content Creation, Creative Design, Emerging Technologies, Professional Development
Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Preprocessing, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Feature Engineering, Predictive Modeling, Data Cleansing, Machine Learning, Real Estate, Regression Analysis, Python Programming
University of Colorado Boulder
Skills you'll gain: Large Language Modeling, Recurrent Neural Networks (RNNs), Natural Language Processing, Prompt Engineering, Artificial Neural Networks, Transfer Learning, Deep Learning, PyTorch (Machine Learning Library), Embeddings, Model Evaluation, Network Architecture
Skills you'll gain: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
Status: Free TrialSkills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning
Status: NewSkills you'll gain: Scripting, Email Automation, Google Workspace, Google Sheets, Automation, Spreadsheet Software, Gmail, Javascript, Hypertext Markup Language (HTML), Web Applications, Application Design, Application Development, Application Programming Interface (API)
Skills you'll gain: Education Software and Technology, Digital pedagogy
Status: Free TrialSkills you'll gain: Wireless Networks, Control Systems, Interactive Design, Software Installation, Electronics, Display Devices, Embedded Systems, Electronic Components, Computer Programming Tools, Development Environment, Electrical Wiring, Programming Principles, Debugging
Status: NewStatus: PreviewSkills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)
Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
Status: NewSkills you'll gain: File I/O, Data Validation
Searches related to applied machine learning
In summary, here are 10 of our most popular applied machine learning courses
- Gemini for Google Cloud Learning Path:Â Google Cloud
- Exploring Generative AI for Learning Design:Â University of Michigan
- Deep Learning for Real Estate Price Prediction:Â Coursera
- Deep Learning for Natural Language Processing:Â University of Colorado Boulder
- Sentiment Analysis with Deep Learning using BERT:Â Coursera
- Introduction to Deep Learning for Computer Vision:Â MathWorks
- Learning Google Apps Script - Automate Google Apps:Â Packt
- Creating Interactive Learning Videos with Edpuzzle:Â Coursera
- Arduino Bootcamp - Learning Through Projects:Â Packt
- Analyze and Build Deep Learning Models with TensorFlow:Â EDUCBA
