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
Google Cloud
Skills you'll gain: Cloud Storage, Virtual Machines, Cloud Computing, Data Storage, Cloud Infrastructure, Virtualization and Virtual Machines, Google Cloud Platform, Data Manipulation
Status: Free TrialSkills you'll gain: Test Case, Kubernetes, Scenario Testing, Simulations, Scripting, Command-Line Interface
Skills you'll gain: Large Language Modeling, LLM Application, Generative AI, Prompt Engineering, Model Evaluation, Data Preprocessing, Application Development, Model Deployment, Open Source Technology
Skills you'll gain: Ideation, Diagram Design, Brainstorming, Team Building, Productivity Software, Data Visualization, Organizational Skills
Status: Free TrialSkills you'll gain: Windows Servers, Active Directory, Remote Access Systems, Microsoft Servers, Virtual Private Networks (VPN), Microsoft Azure, Dynamic Host Configuration Protocol (DHCP), Hybrid Cloud Computing, Data Storage Technologies, Network Infrastructure, Virtual Networking, Cloud Storage, Wide Area Networks, File Systems, TCP/IP
Status: NewStatus: PreviewSkills you'll gain: Hardware Design, Electronics Engineering, Design Reviews, Computer-Aided Design, Electronic Components, Technical Design
Status: PreviewBanco Interamericano de Desarrollo
Skills you'll gain: Agile Methodology, Agile Project Management, Project Implementation, Prioritization, Project Coordination, Stakeholder Analysis, Project Planning, Kanban Principles, Simulation and Simulation Software, Case Studies, Project Management, Team Oriented, Stakeholder Engagement
Status: NewStatus: Free TrialSkills you'll gain: UI Components, C# (Programming Language), Application Frameworks, Network Routing, Web Applications, Javascript, Event-Driven Programming, Model View Controller, Server Side, Data Modeling
Status: Free TrialWhizlabs
Skills you'll gain: Amazon DynamoDB, NoSQL, Database Management Systems, Databases, Database Architecture and Administration, Redis, Data Store, Relational Databases, Database Management, Operational Databases, Real Time Data, Database Design, Performance Tuning, Transaction Processing, Scalability
Status: Free TrialSkills you'll gain: Oracle Databases, Disaster Recovery, Operational Databases, Database Architecture and Administration, Database Management, System Configuration, Data Storage, System Monitoring, Virtual Machines, Scripting Languages
Skills you'll gain: Microsoft Azure, Infrastructure as Code (IaC), Azure DevOps, DevSecOps, Infrastructure As A Service (IaaS), Continuous Integration, Security Information and Event Management (SIEM), Windows PowerShell, GitHub, Git (Version Control System)
Status: Free Trial
In summary, here are 10 of our most popular applied machine learning courses
- Creating a Persistent Disk:Â Google Cloud
- Certified Kubernetes Application Developer (CKAD): Unit 7:Â Pearson
- H2O Gen AI Ecosystem Overview - Level 1:Â H2O.ai
- Create an Affinity Diagram Using Creately:Â Coursera
- Managing Hybrid Storage, File Services and Network:Â Packt
- PCB/CAD Design – DFM & DFT Considerations: Coursera
- PM4R Agile: 5 steps for hybrid management of projects:Â Banco Interamericano de Desarrollo
- Blazor Fundamentals & Core Concepts:Â Packt
- AWS: Database:Â Whizlabs
- Foundations of RMAN Backup and Recovery:Â Packt
