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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


  • Status: New
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    IBM

    IBM Hybrid Cloud Architect

    Skills you'll gain: Cloud-Native Computing, Infrastructure as Code (IaC), Cloud Security, Cloud Storage, Hybrid Cloud Computing, Systems Analysis, Process Improvement, Cloud Engineering, Cloud Computing, Cloud Solutions, Cloud Development, Requirements Analysis, Data Modeling, Multi-Cloud, DevOps, Docker (Software), Solution Design, Microservices, Infrastructure As A Service (IaaS), Information Technology

    4.6
    Rating, 4.6 out of 5 stars
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    7.8K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    364 reviews

    Advanced · Specialization · 3 - 6 Months

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    Google

    Using Python to Interact with the Operating System

    Skills you'll gain: Bash (Scripting Language), Test Automation, Unit Testing, Scripting, Software Testing, Linux Commands, Test Driven Development (TDD), Unix Commands, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, File Systems, Automation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    6.6K reviews

    Beginner · Course · 1 - 3 Months

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    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Algorithms & Recursion

    Skills you'll gain: Cryptography, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Arithmetic, Computational Thinking, Public Key Cryptography Standards (PKCS), Data Structures, Applied Mathematics, Logical Reasoning, Deductive Reasoning

    Beginner · Course · 1 - 3 Months

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    Coursera

    Testing and Refining LLM Applications

    Skills you'll gain: MLOps (Machine Learning Operations), LLM Application, AI Security, Test Automation, Test Driven Development (TDD), Code Coverage, Unit Testing, CI/CD, Continuous Integration, Testability, Large Language Modeling, Model Deployment, Responsible AI, Maintainability, AI Workflows, Scripting, Software Engineering, Python Programming, Statistical Analysis, SQL

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Pragmatic AI Labs

    Production Governance and MLOps on Databricks

    Skills you'll gain: Databricks, Role-Based Access Control (RBAC), MLOps (Machine Learning Operations), Data Lakes, Data Governance, GitHub, Model Deployment, Data Management, CI/CD, Data Quality, Git (Version Control System), Continuous Integration, Data Engineering, Continuous Monitoring, Python Programming, Command-Line Interface

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Pennsylvania

    Customer Analytics

    Skills you'll gain: Customer Analysis, Data-Driven Decision-Making, Descriptive Analytics, Marketing Analytics, Predictive Analytics, Customer Insights, Business Analytics, Analytics, Consumer Behaviour, Process Optimization, Data Collection, Regression Analysis, Market Research

    4.6
    Rating, 4.6 out of 5 stars
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    12K reviews

    Mixed · Course · 1 - 3 Months

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    Packt

    Databricks Associate Developer: Apache Spark with Python

    Skills you'll gain: Apache Spark, PySpark, Databricks, Data Pipelines, Data Processing, Big Data, Apache, Real Time Data, Python Programming, Model Evaluation, Machine Learning, SQL, Data Transformation, Performance Tuning, Distributed Computing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling

    4.6
    Rating, 4.6 out of 5 stars
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    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

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    UNSW Sydney (The University of New South Wales)

    Remote Sensing Image Acquisition, Analysis and Applications

    Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    181 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
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    U

    University of Arizona

    Astronomy: Exploring Time and Space

    Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, electromagnetics, Biology, Global Positioning Systems, Scientific Methods, Scientific Visualization, Research, Simulations

    4.8
    Rating, 4.8 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 3 Months

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

  • IBM Hybrid Cloud Architect: IBM
  • IBM AI Enterprise Workflow: IBM
  • Using Python to Interact with the Operating System: Google
  • Discrete Math for Computer Science - Algorithms & Recursion: The Hong Kong University of Science and Technology
  • Testing and Refining LLM Applications: Coursera
  • Production Governance and MLOps on Databricks: Pragmatic AI Labs
  • Customer Analytics: University of Pennsylvania
  • Databricks Associate Developer: Apache Spark with Python: Packt
  • Data Science Methodology: IBM
  • Probabilistic Graphical Models 1: Representation: Stanford University

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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