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: Transaction Processing, Database Management, Microsoft SQL Servers, SQL, Data Manipulation, Data Integrity, Data Access, Generative AI, Performance Tuning
Universidad Nacional Autónoma de México
Skills you'll gain: Package and Software Management, Jupyter, Ubuntu, Python Programming, Computational Thinking, Mac OS, Programming Principles, Cross Platform Development, Software Documentation, Development Environment, Command-Line Interface
Skills you'll gain: OpenShift, Application Deployment, Kubernetes, Containerization, Cloud-Native Computing, Data Persistence, CI/CD, YAML, Configuration Management, Application Lifecycle Management, Package and Software Management, Command-Line Interface, Network Routing
Universidad Austral
Skills you'll gain: Teaching, Differentiated Instruction, Cultural Diversity, Classroom Management, Curriculum Development, Lesson Planning, Program Evaluation, K-12 pedagogy, Instructional Strategies, Student-Centred Learning
Skills you'll gain: Crisis Management, Business Ethics, Data Ethics, Media Relations, Communication Strategies, Public Relations, Strategic Communication, Stakeholder Communications, Business Communication, Communication, Diversity and Inclusion, Risk Management, Leadership and Management, Social Media Strategy, Business Strategy, Marketing
Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Program Development, Algorithms, Computational Thinking, Data Structures
Novartis
Skills you'll gain: Drug Development, Pharmaceuticals, Pre-Clinical Development, Pharmacology, Laboratory Testing, Biochemical Assays, Clinical Research, Pharmaceutical Terminology, Verification And Validation
Johns Hopkins University
Skills you'll gain: Applied Mathematics, Estimation, Numerical Analysis, Calculus, Engineering Calculations, Mathematical Modeling, Operations Research, Derivatives, Algebra
Universidad de los Andes
Skills you'll gain: Control Systems, Mathematical Modeling, Matlab, Systems Analysis, Simulations, Systems Design, Differential Equations, Applied Mathematics, Linear Algebra
University of Colorado Boulder
Skills you'll gain: Numerical Analysis, Engineering Calculations, Applied Mathematics, Mathematical Modeling, Physics
University of Michigan
Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Policy Analysis, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation
In summary, here are 10 of our most popular applied machine learning courses
- Data Manipulation and Transactions in SQL Server: Microsoft
- Python: de cero a usuario: Universidad Nacional Autónoma de México
- Fundamentals of Containers, Kubernetes and OpenShift: Red Hat
- Enseñar, aprender y evaluar en Escuelas Rurales: Universidad Austral
- Communicate Effectively about Ethical Challenges in Data-Driven Technologies: CertNexus
- Deep Neural Network for Beginners Using Python: Packt
- Programmation pour tous (mise en route de Python): University of Michigan
- Targets, Assays & Screening: Novartis
- Calculus through Data & Modeling: Applying Differentiation: Johns Hopkins University
- Introducción al análisis de sistemas de control con MATLAB: Universidad de los Andes
