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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

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Google Cloud Platform, Predictive Modeling, AI Security

    Intermediate · Course · 1 - 4 Weeks

  • Status: Trending in AI
    Trending in AI
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • I

    Indian Statistical Institute

    Postgraduate Diploma in Applied Statistics

    Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Surveys, Statistical Machine Learning, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management Systems, Economics, Statistical Modeling, SQL, Probability & Statistics, Dimensionality Reduction, Statistical Methods, Lifelong Learning, Regression Analysis, Demography, International Finance

    Postgraduate Diploma · 6 - 12 Months

  • U

    University of Maryland, College Park

    Applied Scrum for Agile Project Management

    Skills you'll gain: Agile Project Management, Scrum (Software Development), Sprint Planning, Scaled Agile Framework, Sprint Retrospectives, Agile Software Development, Agile Methodology, Team Management, Project Management Institute (PMI) Methodology, Team Performance Management, Agile Product Development, Backlogs, Kanban Principles, Project Management, Planning, User Story, Lean Methodologies, Continuous Delivery, Risk Management Framework, Product Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Applied Generative AI & NLP with Python

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Hugging Face, Generative AI, OpenAI API, Natural Language Processing, Large Language Modeling, OpenAI, LLM Application, Transfer Learning, Embeddings, Python Programming, Model Evaluation

    Intermediate · Course · 3 - 6 Months

  • P

    Packt

    Real-world End to End Machine Learning Ops on Google Cloud

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), AI Security, Generative AI, Model Deployment, Responsible AI, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP 日本語版

    Skills you'll gain: Google Cloud Platform, Model Deployment, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Big Data, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Database Management, Data Integration, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    125 reviews

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of Glasgow

    Applied AI for Engineers and Scientists: Foundations

    Skills you'll gain: Data Preprocessing, Model Evaluation, Engineering Practices, Matlab, Engineering Calculations, Classification Algorithms, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Mathematics, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    139 reviews

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Maryland, College Park

    Applied Public Health Informatics for Leaders

    Skills you'll gain: Health Informatics, Public Health, Health Policy, Health Care Administration, Clinical Leadership, Informatics, Health Care, Health Systems, Data Integration, Health Technology, Data Analysis Software, Interoperability

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Mind and Machine

    Skills you'll gain: Problem Solving, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Probability, Artificial Neural Networks, Mathematical Modeling, Behavioral Economics, Convolutional Neural Networks, Algorithms, Human Development, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Artificial Intelligence, Psychology, Human Learning, Theoretical Computer Science, Human Machine Interfaces

    4.4
    Rating, 4.4 out of 5 stars
    ·
    368 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
  • IBM AI Developer: IBM
  • Postgraduate Diploma in Applied Statistics: Indian Statistical Institute
  • Applied Scrum for Agile Project Management: University of Maryland, College Park
  • Applied Generative AI & NLP with Python: Packt
  • Real-world End to End Machine Learning Ops on Google Cloud: Packt
  • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
  • Smart Analytics, Machine Learning, and AI on GCP 日本語版: Google Cloud
  • Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow

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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