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
The Hong Kong University of Science and Technology
Skills you'll gain: OSI Models, Computer Networking, Teaching, TCP/IP, Student Engagement, Network Protocols, Pedagogy, Multimedia, Instructional Strategies, Cultural Diversity, Music
Google Cloud
Skills you'll gain: Data Analysis, Applied Machine Learning, Model Deployment, Machine Learning, Predictive Modeling, Machine Learning Algorithms
Skills you'll gain: Data Pipelines, Big Data, Data Lakes, Microsoft Azure, Data Processing, Extract, Transform, Load, Data Integration, Cloud Management, Cloud Services
Starweaver
Skills you'll gain: SQL, Business Intelligence, Jupyter, Python Programming
Skills you'll gain: Cloud Security, Zero Trust Network Access, Hybrid Cloud Computing, Cloud Computing, Cloud Services, Risk Mitigation, Security Strategy, Legal Risk, Regulation and Legal Compliance, Auditing
Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Data-Driven Decision-Making, Statistical Modeling, Classification Algorithms, Plot (Graphics)
University of California, Irvine
Skills you'll gain: Stakeholder Management, Stakeholder Communications, Work Breakdown Structure, Program Management, Project Management, Resource Planning, Resource Utilization, Agile Project Management, Project Risk Management, Resource Allocation, Scheduling, Project Schedules, Agile Methodology, Portfolio Management
Skills you'll gain: Account Management, AI Personalization, Customer Engagement, Customer Communications Management, Generative AI, Customer Insights, Prompt Engineering, Communication, Predictive Analytics, Scalability, Customer Relationship Management (CRM) Software, Email Automation, Responsible AI, Business Process Automation, Analytics, Automation
University of the Arts London
Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, ChatGPT, OpenAI, Artificial Intelligence, Responsible AI, Natural Language Processing, Data Ethics, Recurrent Neural Networks (RNNs)
Skills you'll gain: Apache Airflow, Docker (Software), Git (Version Control System), Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Continuous Deployment, Database Management, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, SQL, Automation, Configuration Management, Root Cause Analysis, Python Programming
Skills you'll gain: Adobe InDesign, Layout Design, Graphic and Visual Design, Typography, Style Guides, Graphic Design, Technical Documentation, Data Import/Export
EDUCBA
Skills you'll gain: Extensible Markup Language (XML), Extensible Languages and XML, Data Sharing, Interoperability, Information Architecture, Technical Documentation, Data Management, Data Validation, Document Management
In summary, here are 10 of our most popular applied machine learning courses
- My Favorite Lectures @ HKUST : The Hong Kong University of Science and Technology
- BigQuery ML を推論に使用する: Google Cloud
- Introducción a Azure Data Factory para Big Data: Coursera
- Build a Data Warehouse Using BigQuery: Starweaver
- Working in the Cloud: ISC2
- Master Decision Trees in R: Build, Predict & Evaluate: EDUCBA
- Project Practicum with Multiple Projects: University of California, Irvine
- GenAI for Account Managers: Personalizing Client Engagement: Coursera
- Creative AI: Text and Transformations: University of the Arts London
- DataOps: Automation & Reliability: Coursera
