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: Ansible, Git (Version Control System), Docker (Software), Containerization, SonarQube, Kubernetes, CI/CD, GitHub, Version Control, Application Deployment, Jenkins, DevOps, Continuous Integration, Continuous Deployment, Infrastructure as Code (IaC)
Skills you'll gain: Systems Development Life Cycle, Software Development Life Cycle, Systems Development, Software Development Methodologies, Change Management, Project Management, System Implementation, Compliance Auditing, Software Testing, Auditing, Development Testing, Information Technology, Verification And Validation, Project Management Office (PMO), Internal Controls, Governance, Agile Methodology, Software Development, Data Integrity, Risk Management
Skills you'll gain: SQL, Star Schema, Data Modeling, Data Quality, Data Pipelines, Database Design, Data Mart, Data Validation, Extract, Transform, Load, Data Analysis, Data Warehousing, Data Transformation, Data Management, Version Control
Skills you'll gain: MySQL, Data Migration, Google Cloud Platform, Operational Databases, Database Administration, Virtual Private Networks (VPN), Database Management
Board Infinity
Skills you'll gain: White-Box Testing, Test Planning, Test Case, Software Testing, Debugging, Functional Testing, Software Documentation, Software Quality Assurance, Development Testing, Test Data, Issue Tracking, Software Technical Review, Quality Assurance, Development Environment, Technical Communication
Board Infinity
Skills you'll gain: White-Box Testing, Software Testing, Risk Analysis, Code Coverage, Test Case, Unit Testing, Test Engineering, Test Planning, Integration Testing
Skills you'll gain: Prompt Engineering, OpenAI API, ChatGPT, Application Programming Interface (API), API Design, Authentications, Large Language Modeling, Key Management, JSON, Model Evaluation, Performance Tuning
Skills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis
University of Michigan
Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Skills you'll gain: Color Theory, Layout Design, Adobe Photoshop, Typography, Design Elements And Principles, Microsoft Windows, Graphic Design, File Management
Google Cloud
Skills you'll gain: Generative AI, Google Cloud Platform, Machine Learning, Natural Language Processing
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Java, Java Programming, Theoretical Computer Science, Computer Programming, Computational Thinking, Programming Principles, Performance Tuning, Object-Relational Mapping, Computer Programming Tools
In summary, here are 10 of our most popular applied machine learning courses
- Advanced Git and GitHub Practices:Â Packt
- Systems Acquisition, Development and Implementation:Â Packt
- Introduction to Analytics Engineering:Â Edureka
- Migrating On-premises MySQL Using a Continuous Database Migration Service Job:Â Google Cloud
- Practical Software Testing:Â Board Infinity
- Fundamentals of Risk-Based and White-Box Test Techniques:Â Board Infinity
- ChatGPT API for Developers: Integrate AI Effortlessly:Â Coursera
- R: Apply & Analyze K-Means Clustering for Unsupervised ML:Â EDUCBA
- Statistics with Python Using NumPy, Pandas, and SciPy:Â University of Michigan
- How to create business cards using Adobe Photoshop:Â Coursera
