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: PreviewUniversity of California, Santa Cruz
Skills you'll gain: Software Development Life Cycle, Agile Project Management, Collaborative Software, Software Development, System Testing, Acceptance Testing, Test Case, Python Programming, Cloud Management, Computer Science
Status: NewStatus: Free TrialSkills you'll gain: Dashboard, Kibana, System Monitoring, Automation, Scripting, Devops Tools, Python Programming, Linux, Data Visualization Software, Data Structures, JSON
Skills you'll gain: Data Migration, Google Cloud Platform, PostgreSQL, Operational Databases, Data Validation, Data Integrity, Virtual Private Networks (VPN)
Status: NewStatus: Free TrialSkills you'll gain: Autodesk Maya, Cinematography, Computer Graphics, Post-Production, 3D Modeling, Animation and Game Design, Storytelling, Adobe Photoshop, Virtual Environment
Status: NewSkills you'll gain: Design Thinking, Customer experience strategy (CX), Agile Product Development, Product Strategy, Product Management, User Research, Service Design, Value Propositions, Product Roadmaps, Customer Insights, User Story, Innovation, Market Opportunities, Customer Retention, Growth Strategies, Market Analysis
Status: Free TrialSkills you'll gain: Apple software proficiency, Cloud Deployment, Software Installation
Status: Free TrialSkills you'll gain: 3D Modeling, Unreal Engine, 3D Assets, Visualization (Computer Graphics), Animations, Computer Graphics, Video Game Development
Status: NewStatus: PreviewCertNexus
Skills you'll gain: Artificial Intelligence, AI Enablement, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Business Requirements, Responsible AI, AI Security, Data Ethics, Process Improvement, Process Improvement and Optimization, Environmental Social And Corporate Governance (ESG), Cloud Computing, Process Optimization, User Experience, Customer Service, Big Data, Data Security, Operational Efficiency, Marketing, Data Quality
Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Model Evaluation, Software Visualization, Data Integrity, Machine Learning
Google Cloud
Skills you'll gain: Generative AI, Generative Model Architectures, Google Cloud Platform, Image Analysis, Model Deployment, Prompt Engineering
Status: Free TrialWhizlabs
Skills you'll gain: Kubernetes, Google Cloud Platform, Serverless Computing, Cloud Infrastructure, Cloud Computing Architecture, Cloud Services, Cloud Computing, Infrastructure As A Service (IaaS), Cloud Management, Application Deployment, Virtual Machines, Containerization, Load Balancing, Command-Line Interface
In summary, here are 10 of our most popular applied machine learning courses
- Agile Software Development with Python: TDD and BDD:Â University of California, Santa Cruz
- AutoML: Build ML Models without Code:Â Edureka
- Master Kibana Monitoring & Python Integration:Â EDUCBA
- Migrating to AlloyDB from PostgreSQL Using Database Migration Service:Â Google Cloud
- Cinematic Lighting in Maya: Interior & Character Lighting:Â Skillshare
- JTBD Playbook: Align Strategy with Customer Needs:Â Packt
- Apple Device Deployment Projects – Hands-On Implementation: Packt
- Finalizing the Windmill and Integrating with Unreal Engine 5:Â Packt
- AIBIZ (Exam AIZ-210):Â CertNexus
- Responsible AI for Developers: Interpretability & Transparency - 日本語版: Google Cloud
