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: Data Analysis, Big Data, Analytics, Applied Machine Learning, Model Evaluation, Predictive Modeling, Machine Learning
Skills you'll gain: Constructive Feedback, Sales Presentation, Client Services, Rapport Building, Video Editing, Active Listening, Customer Relationship Building, Expectation Management, Relationship Management, Video Production, Professional Networking, Organizational Skills
Skills you'll gain: LLM Application, Middleware, OpenAI API, UI/UX Research, Frontend Integration
Skills you'll gain: Microsoft Azure, Mobile Development Tools, System Implementation, System Configuration, Application Programming Interface (API), Data Integration, Simulations
Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Feature Engineering, Data Storage, Data Processing, Data Modeling, Data Management, Data Quality
Google Cloud
Skills you'll gain: Responsible AI, Prompt Engineering, Generative AI, AI Enablement, Artificial Intelligence, Google Cloud Platform
Edureka
Skills you'll gain: Cloud Deployment
Skills you'll gain: Data Import/Export, NumPy, Pandas (Python Package), Pivot Tables And Charts, Business Reporting, Data Manipulation, Analytics, Data Processing, Business Analytics, Data Cleansing, Data Analysis Software, Retail Store Operations, Data Transformation, Python Programming, Linear Algebra
University of Leeds
Skills you'll gain: Integrated Development Environments, Debugging, Microsoft Visual Studio, Unit Testing, Software Development Tools, Development Environment, Version Control
Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Transformation, Business Intelligence, Data Modeling, Interactive Data Visualization, Data Manipulation, Dashboard, Data Visualization Software, Microsoft Excel, SQL Server Reporting Services, Data Warehousing, Data Sharing, Data Integration
Skills you'll gain: Cloud Hosting, Load Balancing, Cloud Deployment, Cloud Applications, Google Cloud Platform, Infrastructure As A Service (IaaS), Cloud Computing, Microsoft Azure, Virtual Machines, Web Servers, Servers, Managed Services
Skills you'll gain: OpenAI API, LLM Application, Vector Databases, Generative AI Agents, Tool Calling, Embeddings, Retrieval-Augmented Generation, Prompt Patterns, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, Agentic systems, Large Language Modeling, TypeScript, Responsible AI, Software Development, Real Time Data, Web Scraping, Software Design Patterns
Searches related to applied machine learning
In summary, here are 10 of our most popular applied machine learning courses
- BigQuery 머신러닝을 사용한 추론: Google Cloud
- Freelance Video Editing: Build Strong Client Relationships: Skillshare
- Optimize & Interface LLM Apps Effectively: Coursera
- Industrial IoT Integration with Micro850 PLC: Packt
- MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud
- IA generativa: para além do chatbot: Google Cloud
- Migrating to AWS Cloud: Edureka
- NumPy & Pandas: Analyze & Manage Retail Data: EDUCBA
- Working with Integrated Development Environments: University of Leeds
- Master in Microsoft Power BI Desktop and Service: Packt
