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: TCP/IP, OSI Models, General Networking, Computing Platforms, Network Administration, Software-Defined Networking, Computer Networking, Network Routing, Network Engineering, Network Infrastructure, Scripting, Network Protocols, Restful API, Application Programming Interface (API)
Google Cloud
Skills you'll gain: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
Skills you'll gain: Amazon Bedrock, Model Evaluation, Data Preprocessing
Northwestern University
Skills you'll gain: Robotics, Machine Controls, Mechanics, Torque (Physics), Automation Engineering, Mathematical Modeling, Engineering Analysis, Engineering Calculations, Structural Analysis, Mechanical Design, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Visualization (Computer Graphics), Spatial Analysis
Northeastern University
Skills you'll gain: Data Governance, Extract, Transform, Load, Data Warehousing, Data Integration, DevOps, Data Pipelines, CI/CD, Data Architecture, Infrastructure as Code (IaC), Data Quality, Amazon Redshift, Cloud Computing, Database Architecture and Administration, Cloud Computing Architecture, Analytics, Data Transformation, Amazon S3, Scalability
Skills you'll gain: Kubernetes, Network Troubleshooting, Technical Support and Services, Problem Management, Event Monitoring, Network Monitoring, Debugging, System Monitoring, Servers
Coursera
Skills you'll gain: AI Personalization, Business Logic, Application Development, C# (Programming Language), Computer Programming, Programming Principles, Data Structures, Debugging
Logical Operations
Skills you'll gain: NumPy, Data Transformation, Data Manipulation, Data Cleansing, Jupyter, Data Processing, Data Analysis, Data Science, Data Import/Export, Exploratory Data Analysis, Python Programming, Virtual Machines, Computer Programming, Computer Programming Tools, Software Development
Google Cloud
Skills you'll gain: Responsible AI, Generative AI, AI Security, Google Cloud Platform, Large Language Modeling, Data Modeling, Data Ethics, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation
Skills you'll gain: Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), Color Theory, Javascript, Front-End Web Development, User Interface (UI) Design, Web Development, Data Validation
Skills you'll gain: Javascript, JSON, Event-Driven Programming, Web Development, Programming Principles, Web Applications, Data Structures, Application Deployment, Application Development, Debugging
Skills you'll gain: Reinforcement Learning, Regulatory Compliance, Due Diligence, Artificial Intelligence and Machine Learning (AI/ML), Risk Analysis, Policy Analysis, Policy Development, Algorithms
In summary, here are 10 of our most popular applied machine learning courses
- Network Fundamentals & Cisco Platform Development: Packt
- Attention Mechanism - Español: Google Cloud
- AI Ecosystem for the Absolute Beginners - Hands-On: Packt
- 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
- Data Warehousing and Integration Part 2: Northeastern University
- Certified Kubernetes Administrator (CKA): Unit 5: Pearson
- Learn to Code: Fun with C#: Coursera
- Python Data Science: NumPy: Logical Operations
- 生成式 AI：剖析基本概念: Google Cloud
- React Beginner Project: Build a Color Picker Tool: Scrimba
