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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


  • E

    Edge Impulse

    Edge AI for Microcontrollers

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Embedded Systems, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Anomaly Detection, AI Product Strategy, Cloud Computing, Internet Of Things, Product Engineering, Prototyping, Industrial Engineering, Product Development, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    885 reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Build & Optimize TensorFlow ML Workflows

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Data Pipelines, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build & Evaluate NLP Transformer Pipelines

    Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Applied Machine Learning, Performance Metric, Quality Assessment

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California, Irvine

    Enhance your Writing with Adjective Clauses

    Skills you'll gain: Grammar, Proofreading, Peer Review, Writing and Editing, Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Matlab, Mathematical Modeling, Computational Thinking, Recurrent Neural Networks (RNNs), Applied Mathematics, Physiology, Biology, Linear Algebra, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • A

    Arizona State University

    Proyecto Final: Chino básico - Lenguaje y cultura empresarial

    Skills you'll gain: Peer Review, Oral Expression, Presentations, Video Production, Business Communication, Language Learning, Communication

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    AI Agents and MLOps for Production-Ready AI

    Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimizing AI Workflows and Deploying Edge Models

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation, Debugging

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Real Time Data, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Responsible AI, AI Personalization, SQL, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Design and Build Custom Neural Networks

    Skills you'll gain: Network Architecture, Artificial Neural Networks, Network Planning And Design, Performance Testing, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize AI: Build & Evaluate Predictive Models

    Skills you'll gain: Predictive Modeling, Statistical Machine Learning, Performance Analysis, Performance Metric, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

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

  • Edge AI for Microcontrollers: Edge Impulse
  • Build & Optimize TensorFlow ML Workflows: Coursera
  • Build & Evaluate NLP Transformer Pipelines: Coursera
  • Enhance your Writing with Adjective Clauses: University of California, Irvine
  • Computational Neuroscience: University of Washington
  • Proyecto Final: Chino básico - Lenguaje y cultura empresarial: Arizona State University
  • AI Agents and MLOps for Production-Ready AI: Packt
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Optimizing AI Workflows and Deploying Edge Models: Coursera
  • Generative AI for Business Intelligence (BI) Analysts: IBM

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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