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: Agile Methodology, Agile Software Development, Agile Project Management, Kanban Principles, Agile Product Development, Scrum (Software Development), Lean Methodologies, Sprint Retrospectives, Backlogs, Sprint Planning, Continuous Improvement Process, Stakeholder Engagement, Prioritization
Google Cloud
Skills you'll gain: Model Deployment, Recurrent Neural Networks (RNNs), Tensorflow, Keras (Neural Network Library), Generative Model Architectures, Machine Learning Methods
Coursera
Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Test Case, Debugging, Code Coverage, Model Evaluation, Data Pipelines, Test Data
Skills you'll gain: Package and Software Management, Linux Administration, Linux, User Accounts, Command-Line Interface, Operating System Administration, Open Source Technology, Disaster Recovery, Red Hat Enterprise Linux, System Monitoring, Unix Commands, System Configuration, Systems Administration, Linux Commands, Security Controls, Firewall, File Management
Coursera
Skills you'll gain: Generative AI, Retrieval-Augmented Generation, AI Workflows, Generative Model Architectures, Software Architecture, Enterprise Architecture, CI/CD, Model Evaluation, Software Development, Unit Testing
Skills you'll gain: Oracle Databases, Operational Databases, Scalability, Database Management, Database Architecture and Administration, Software Installation, Virtual Machines, Disaster Recovery, Performance Tuning, Linux
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, AI Enablement, Semantic Web, Generative AI, Artificial Intelligence
Google Cloud
Skills you'll gain: Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs)
Skills you'll gain: Full-Stack Web Development, Node.JS, JavaScript Frameworks, Authentications, OAuth, Web Applications, Back-End Web Development, Server Side, Secure Coding, Web Development Tools, Application Servers, Database Management, Javascript, Databases, Cryptography, Data Storage Technologies, Middleware, Routing Protocols
Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
Google Cloud
Skills you'll gain: Google Gemini, Generative AI, Gemini, Responsible AI, Google Cloud Platform, AI Product Strategy, Data Governance, AI Enablement, AI Security, Cloud Infrastructure, Cloud Computing Architecture, Decision Making, LLM Application
Skills you'll gain: Cloud Computing Architecture, Amazon Elastic Compute Cloud, Data Visualization Software, Cloud Storage, Dashboard, Scalability, Data Strategy, Data Integration, Real Time Data, Data Storage
In summary, here are 10 of our most popular applied machine learning courses
- Mastering Agile: Apply & Adapt Principles for Value Delivery: EDUCBA
- Encoder-Decoder Architecture - 日本語版: Google Cloud
- Test & Debug Java ML Pipelines: Coursera
- Linux Fundamentals: Configure, Secure & Manage: EDUCBA
- Hybrid AI Search Workflows: Coursera
- Oracle RAC Advanced Operations and Deployment Scenarios: Packt
- Recherche vectorielle et embeddings: Google Cloud
- Create Image Captioning Models - 日本語版: Google Cloud
- Express Framework Basics: Secure Signup with Auth0 & Node.js: Packt
- Data Science Fundamentals Part 2: Unit 1: Pearson
