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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


  • G

    Google Cloud

    Implantação e escalonamento de modelos de IA com o Cloud Run

    Skills you'll gain: Model Deployment, Cloud Deployment, Google Cloud Platform, Serverless Computing, Generative AI, Application Deployment, Containerization, Machine Learning Methods, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • P

    Pragmatic AI Labs

    Production ML with Hugging Face

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Rust (Programming Language), Cloud Deployment, Application Deployment, CI/CD, Performance Tuning, Large Language Modeling, Performance Testing, Cross Platform Development, Cryptography

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Build Your First No-Code Data Workflow

    Skills you'll gain: Data Analysis, Data Collection, Data Cleansing, Data Processing, Data Quality, Data Analysis Software, Data Science, Business Analytics, Feature Engineering, Data Visualization, Data Validation, Machine Learning

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    81 reviews

    Intermediate · Specialization · 1 - 3 Months

  • 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

  • C

    Coursera

    Fine-tuning Text Models with PEFT

    Skills you'll gain: Generative AI, Model Evaluation, Large Language Modeling, Transfer Learning, Performance Tuning, Development Environment, Natural Language Processing, Jupyter

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Data Science Ethics

    Skills you'll gain: Data Ethics, Data Analysis, Social Sciences, Bayesian Statistics, Machine Learning Algorithms, Policy Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Build & Evaluate Real-Time Object Detectors

    Skills you'll gain: Computer Vision, Model Deployment, Performance Analysis, Performance Measurement, Data Pipelines, Quality Assessment

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Refine Segmentation: Boost Your AI Vision

    Skills you'll gain: Performance Analysis, Performance Metric, Quality Assessment, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    AI Agent Development Fundamentals

    Skills you'll gain: Generative AI Agents, Agentic systems, Prompt Engineering, AI Workflows, LLM Application, Systems Architecture, Tool Calling, Natural Language Processing, Context Management, Debugging, Verification And Validation

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science

    3.4
    Rating, 3.4 out of 5 stars
    ·
    100 reviews

    Beginner · Specialization · 3 - 6 Months

  • 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
    ·
    12K reviews

    Mixed · Course · 1 - 3 Months

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

  • Implantação e escalonamento de modelos de IA com o Cloud Run: Google Cloud
  • Production ML with Hugging Face: Pragmatic AI Labs
  • Build Your First No-Code Data Workflow: Edureka
  • Explainable AI (XAI): Duke University
  • Infraestrutura de IA: Cloud TPUs: Google Cloud
  • Fine-tuning Text Models with PEFT: Coursera
  • Data Science Ethics: University of Michigan
  • Build & Evaluate Real-Time Object Detectors: Coursera
  • Refine Segmentation: Boost Your AI Vision: Coursera
  • AI Agent Development Fundamentals: 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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