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: PreviewUniversity of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Code Reusability, Python Programming, Program Development, Software Installation, Computational Logic, Development Environment
Status: PreviewUniversidad Autónoma Metropolitana
Skills you'll gain: Grammar, Language Competency, Spanish Language, Language Learning, Vocabulary, Oral Comprehension, Language Interpretation, Translation, and Studies, Multilingualism, Learning Theory
Status: Free TrialSkills you'll gain: Performance Tuning, Django (Web Framework), Authentications, Object-Relational Mapping, Cloud Hosting, User Accounts, Development Environment, Application Security, Python Programming
Status: Free TrialSkills you'll gain: Python Programming
Status: NewSkills you'll gain: Robotics, Artificial Intelligence, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Convolutional Neural Networks, AI Integrations, Natural Language Processing, Artificial Neural Networks, Reinforcement Learning, Model Training, Machine Learning, Python Programming, Automation, Algorithms
Status: Free TrialSkills you'll gain: Microsoft Azure, Cloud Services, Cloud Platforms, Cloud Computing, Cloud Deployment, Cloud Storage, Cloud Security, Computing Platforms, Cloud Management
Status: PreviewUniversidad Nacional de Colombia
Skills you'll gain: Programming Principles, Debugging, Computational Thinking, Computer Programming, Arithmetic, Algorithms, Code Reusability, Program Development, Computational Logic, Python Programming, Functional Design, Mathematical Software
Status: FreeSkills you'll gain: Education Software and Technology, Virtual Environment, Teaching, Collaborative Software, Data Sharing, Google Workspace
Status: Free TrialSkills you'll gain: Platform As A Service (PaaS), Application Deployment, Database Systems
Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Plot (Graphics), Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Data Science, Statistical Analysis, Data Wrangling, Python Programming
Status: Free TrialSkills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Gemini, Model Deployment, Generative AI Agents, GitHub Copilot, Generative Adversarial Networks (GANs), Google Gemini, Responsible AI, Performance Tuning, Software Development Tools, Code Review, Software Engineering, Artificial Intelligence, AI Personalization, Software Development, Software Quality Assurance, Debugging, Automation
Status: Free Trial
In summary, here are 10 of our most popular applied machine learning courses
- Программирование для всех (начало работы с Python): University of Michigan
- Conciencia Lingüística: Universidad Autónoma Metropolitana
- Advanced Django: Building a Blog: Codio
- The Complete LangChain & LLMs Guide: Packt
- Artificial Intelligence for Robotics: Packt
- Preparing for the AZ-900 Microsoft Azure Fundamentals Exam: Microsoft
- Programación con Python, nivel básico: Universidad Nacional de Colombia
- Create a Virtual Classroom using Google Slides: Coursera
- Microsoft Azure - PAAS Overview: EDUCBA
- Exploratory Data Analysis With Python and Pandas: Coursera
