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: NewStatus: Free TrialSkills you'll gain: Model Optimization, Model Training, Keras (Neural Network Library), Failure Analysis, Root Cause Analysis, Process Improvement and Optimization, Performance Analysis
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Time Series Analysis and Forecasting, Python Programming
Skills you'll gain: C and C++, File I/O, Memory Management, Code Reusability, Computer Programming Tools
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Integration, Data Wrangling, Python Programming, Data Transformation
Status: PreviewThe Hong Kong University of Science and Technology
Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), jQuery, Javascript and jQuery, Web Design and Development, Javascript, Web Development, Animations, Front-End Web Development, Animation and Game Design, Web Applications, Event-Driven Programming, Software Design Patterns
Status: FreeAmazon Web Services
Skills you'll gain: Education Software and Technology, Generative AI, Digital pedagogy, AI literacy
Status: Free TrialJohns Hopkins University
Skills you'll gain: Training Programs, Education and Training, Smart Goals, Community Health, Train The Trainer, Educational Materials, Health Education, Adult Education, Needs Assessment, Planning, Case Management
Status: NewStatus: Free TrialSkills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, LLM Application, Multimodal Prompts, Recurrent Neural Networks (RNNs), Text Mining, Embeddings, Generative AI, Deep Learning, Fine-tuning, Generative Model Architectures, Artificial Neural Networks, Machine Learning, Data Ethics
Status: PreviewGoogle Cloud
Skills you'll gain: Google Cloud Platform, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Tensorflow, Continuous Deployment, Model Deployment, Model Training, Metadata Management, AI Orchestration, PyTorch (Machine Learning Library)
Status: Free TrialUniversity of Michigan
Skills you'll gain: Responsible AI, Generative AI, ChatGPT, LLM Application, Education Software and Technology, AI Integrations, Design Strategies, Artificial Intelligence, Data Ethics, Content Creation, Professional Development
Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Analysis, Python Programming
Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Access, Python Programming
In summary, here are 10 of our most popular applied machine learning courses
- Optimize Deep Learning: Stabilize and Diagnose Models:Â Coursera
- Mastering Data Analysis with Pandas: Learning Path Part 4:Â Coursera
- C++ Crash Course - Quick and Practical Learning:Â Packt
- Mastering Data Analysis with Pandas: Learning Path Part 3:Â Coursera
- Learning HTML, CSS and JavaScript through Game Development:Â The Hong Kong University of Science and Technology
- Game based learning - Getting Started with Gen AI:Â Amazon Web Services
- Training and Learning Programs for Volunteer Community Health Workers:Â Johns Hopkins University
- Foundations of LLMs and Deep Learning for Text Analysis:Â Packt
- ML Pipelines on Google Cloud - 日本語版: Google Cloud
- Strategizing the Use of Generative AI in Learning Design:Â University of Michigan
