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  • Applied Machine Learning

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


  • C

    Coursera

    Grasp Vector DB Basics

    Skills you'll gain: Vector Databases, Semantic Web, Database Theory, Database Design, Databases, NoSQL, Decision Making, Relational Databases, Data-Driven Decision-Making, Data Architecture, Stakeholder Communications, Business Analysis, Stakeholder Management, Persuasive Communication, Machine Learning Methods, System Design and Implementation

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    Professional Skills for the Workplace

    Skills you'll gain: Problem Solving, Growth Mindedness, Emotional Intelligence, Adaptability, Social Skills, Brainstorming, Active Listening, Critical Thinking, Resilience, Personal Attributes, Creative Thinking, Empathy, Professional Development, Action Oriented, Constructive Feedback, Stress Management, Willingness To Learn, Lifelong Learning, Positivity, Growth Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    GPU Clusters & Containers

    Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Kubernetes, AI Workflows, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Master Microsoft Office 365 and Power Platform

    Skills you'll gain: Microsoft Power Platform, Microsoft Copilot, Prompt Engineering, Microsoft Power Automate/Flow, Power BI, Microsoft 365, Multimedia, Microsoft PowerPoint, Dashboard, Microsoft Excel, Excel Formulas, Microsoft Word, Data Visualization, No-Code Development, Spreadsheet Software, Collaborative Software, Microsoft Office, Power Apps Component Framework, Presentations, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • A

    Amazon Web Services

    AWS Cloud Solutions Architect

    Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Data Lakes, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Amazon Elastic Compute Cloud, Event-Driven Programming, Cloud Security, Solution Architecture, Data Visualization, Cloud Storage, Data Architecture, Cloud Computing Architecture, API Gateway, Software Architecture

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Apply SOLID Design to Optimize Java ML

    Skills you'll gain: Apache Maven, Maintainability, Gradle, Java, Software Design, Software Design Patterns, Software Architecture, Object Oriented Design, Object Oriented Programming (OOP), API Design, Machine Learning Methods, Programming Principles, Integration Testing, Dependency Analysis, User Interface (UI) Design, Design Strategies, Program Evaluation, Automation

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Infraestrutura de IA: Cloud TPUs

    Skills you'll gain: Tensorflow, AI Enablement, PyTorch (Machine Learning Library), Technology Strategies, Model Deployment, Interoperability, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI and Climate Change

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Image Analysis, Environmental Monitoring, Convolutional Neural Networks, Artificial Intelligence, Climate Change Mitigation, Artificial Neural Networks, Machine Learning Methods, Deep Learning, Data Processing, Forecasting, Computer Vision, Predictive Modeling, Environmental Science, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    142 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    174 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • V

    Vanderbilt University

    AI Agents with Model Context Protocol

    Skills you'll gain: Claude Code, Prompt Engineering, Model Context Protocol, ChatGPT, Prompt Patterns, Anthropic Claude, AI Workflows, Prompt Engineering Tools, LLM Application, Generative AI Agents, Multimodal Prompts, Agentic Workflows, AI Orchestration, AI Enablement, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Security, Agentic systems, AI Product Strategy, AI Personalization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Alberta

    Software Product Management

    Skills you'll gain: Agile Software Development, Project Risk Management, Requirements Analysis, Agile Methodology, Kanban Principles, Risk Management, Project Planning, Requirements Elicitation, Sprint Retrospectives, Requirements Management, Functional Requirement, Business Requirements, Sprint Planning, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Technical Review, Risk Management Framework, Product Management, Project Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular applied machine learning courses

  • Grasp Vector DB Basics: Coursera
  • Professional Skills for the Workplace: University of California, Davis
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • GPU Clusters & Containers: Coursera
  • Master Microsoft Office 365 and Power Platform: Microsoft
  • AWS Cloud Solutions Architect: Amazon Web Services
  • Apply SOLID Design to Optimize Java ML: Coursera
  • Infraestrutura de IA: Cloud TPUs: Google Cloud
  • AI and Climate Change: DeepLearning.AI
  • Tweet Emotion Recognition with TensorFlow: Coursera

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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