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: Ideation, Diagram Design, Brainstorming, Team Building, Productivity Software, Data Visualization, Organizational Skills
Status: NewSkills you'll gain: Full-Stack Web Development, Flask (Web Framework), Web Applications, Real Time Data, Web Development, Restful API, Application Development, Application Programming Interface (API), Back-End Web Development, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Unreal Engine, Virtual Environment, 3D Assets, Game Design, Augmented and Virtual Reality (AR/VR), Video Game Development, User Interface (UI), Image Quality
Skills you'll gain: Data Visualization Software, Data Visualization, Statistical Visualization, Ggplot2, Plot (Graphics), R Programming, Scatter Plots, Graphing, Data Analysis, Data Manipulation, Data Import/Export, Regression Analysis, Data Preprocessing, Software Installation
Status: Free TrialSkills you'll gain: Unreal Engine, 3D Assets, 3D Modeling, Computer Graphic Techniques, Editing, Graphics Software
Status: NewStatus: Free TrialSkills you'll gain: Prompt Engineering, LLM Application, OpenAI API, Large Language Modeling, Embeddings, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, AI Enablement, Model Evaluation
Status: PreviewSkills you'll gain: Thermal Management, Finite Element Methods, Engineering Analysis, Mechanical Engineering, Engineering, Scientific Visualization, Simulations, Numerical Analysis, Mathematical Modeling, Differential Equations, Physics
Status: PreviewSkills you'll gain: Google Gemini, Generative AI, Multimodal Prompts, Prompt Engineering, Interactive Design, Google Cloud Platform, Prototyping, MLOps (Machine Learning Operations), Product Lifecycle Management, Model Deployment, Performance Tuning
Status: Free TrialSkills you'll gain: Kubernetes, Google Cloud Platform, YAML, Cloud Deployment, Data Persistence, Containerization, Application Deployment, Configuration Management, MongoDB, Infrastructure Security, Network Security, Application Programming Interface (API), Scalability
Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Data Presentation, Exploratory Data Analysis, Vector Databases, Data Mapping, Data Access
Status: PreviewSkills you'll gain: Prompt Engineering, Risk Management Framework, Legal Technology, Responsible AI, Legal Risk, Risk Mitigation, Generative AI, Compliance Management, Automation, Legal Strategy, Data Ethics, Law, Regulation, and Compliance, Analytics, Governance, Data Analysis
Status: Free TrialSkills you'll gain: Debugging, Automation, Python Programming, Data Structures, Programming Principles, Data Import/Export, Scripting, Data Manipulation, File Management, Data Validation, Software Installation
In summary, here are 10 of our most popular applied machine learning courses
- Create an Affinity Diagram Using Creately:Â Coursera
- Skill Up with Python: Web Development Recipes:Â Pearson
- Unreal Engine 5 For Beginners: World Building Basics:Â Skillshare
- How to Visualize Data with R:Â Packt
- Blender 3 to Unreal Engine 5 — Dungeon Modular Kitbash: Packt
- Quick Start Guide to Large Language Models (LLMs): Unit 2:Â Pearson
- Dynamique des fluides numérique appliquée: Siemens
- Introduction to Vertex AI Studio - Bahasa Indonesia:Â Google Cloud
- Advanced Kubernetes - Security, and Large-Scale Deployments:Â Packt
- ArcGIS Desktop for Spatial Analysis: Go from Basic to Pro:Â Packt
