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: Matplotlib, Data Visualization Software, Data Visualization, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting
Status: Free TrialSkills you'll gain: 3D Assets, Unreal Engine, 3D Modeling, Virtual Environment, Computer Graphics, Computer Graphic Techniques
Status: NewStatus: Free TrialSkills you'll gain: Diversity Equity and Inclusion Initiatives, Diversity Training, Diversity and Inclusion, Diversity Programs, Diversity Awareness, Workplace inclusivity, Initiative and Leadership, Organizational Leadership, Leadership Development, Strategic Leadership, Organizational Change, Organizational Effectiveness, Case Studies, Goal Setting
Skills you'll gain: Debugging, Google Cloud Platform, Application Deployment, Cloud Development, JavaScript Frameworks, Node.JS, Cloud Applications, Serverless Computing, Program Development, Microsoft Visual Studio
Skills you'll gain: MITRE ATT&CK Framework, AI Security, Cyber Threat Intelligence, Cyber Security Strategy, Cybersecurity, Threat Modeling, Threat Detection, Responsible AI, Artificial Intelligence, Anomaly Detection, Data Ethics, Innovation
Status: NewStatus: Free TrialSkills you'll gain: Team Leadership, Virtual Teams, Delegation Skills, Leadership and Management, Employee Training, Professional Development, Leadership, Project Management, Key Performance Indicators (KPIs), Business Metrics
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Model Evaluation, Software Visualization, Data Integrity, Machine Learning
Skills you'll gain: Microsoft Copilot, Development Environment, DevOps, Software Development Tools, GitHub, Integrated Development Environments, Generative AI, Software Installation
Skills you'll gain: Azure Synapse Analytics, Data Migration, Microsoft Azure, Data Warehousing, SQL Server Integration Services (SSIS), Microsoft SQL Servers, Cloud Security, Performance Tuning, System Configuration, Cloud Storage, Cloud Computing Architecture, Data Security, Apache Spark, Data Integration
Status: PreviewGoogle Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Large Language Modeling, Text Mining
Skills you'll gain: Continuous Integration, DevOps, Apache Tomcat, Kubernetes, Docker (Software), Continuous Deployment, Apache Maven, Application Deployment, Containerization, Amazon Web Services, YAML, Git (Version Control System)
Status: Free TrialSkills you'll gain: Infrastructure as Code (IaC), Cloud Management, Amazon Web Services, Cloud Infrastructure, Multi-Tenant Cloud Environments, AWS Identity and Access Management (IAM), Continuous Deployment, GitHub, Configuration Management, Version Control, Data Validation
In summary, here are 10 of our most popular applied machine learning courses
- Cómo importar datos y crear visualizaciones en Python: Coursera
- Advanced Asset Manipulation and Environment Detailing in UE5: Packt
- Leadership: Implementing DEI at Your Company: Skillshare
- Building and Debugging Cloud Functions for Node.js: Google Cloud
- Generative AI and its Impact on Cybersecurity: Packt
- Delivering Results with Remote Teams: SkillUp
- Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
- Accelerate Terraform Development with GitHub Copilot and AI: Packt
- Azure SQL Data Warehouse Synapse Analytics Service: Packt
- Attention Mechanism - בעברית: Google Cloud
