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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


  • M

    Macquarie University

    Excel Skills for Business

    Skills you'll gain: Excel Formulas, Dashboard, Microsoft Excel, Spreadsheet Software, Excel Macros, Data Preprocessing, Data Literacy, Data Validation, Data Manipulation, Data Presentation, Data Storytelling, Data Analysis Software, Microsoft Office, Data Analysis Expressions (DAX), Business Analytics, Pivot Tables And Charts, Data Modeling, Financial Forecasting, Analytical Skills, Advanced Analytics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Building Reliable LLM Systems

    Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming, Pandas (Python Package)

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Integrate and Optimize AI Services Seamlessly

    Skills you'll gain: Cloud Deployment, Continuous Deployment, System Monitoring, API Testing, Restful API, Site Reliability Engineering, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Model Deployment, Restful API, Software Design, Application Deployment, Software Architecture, Continuous Integration, Software Design Patterns, Software Development, LLM Application, Java, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Image Analysis, Java Programming

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

    Intermediate · Specialization · 3 - 6 Months

  • V

    Vanderbilt University

    Generative AI Assistants

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, Ideation, Verification And Validation, LLM Application, Productivity, OpenAI, AI Personalization, Responsible AI, AI Enablement, Creativity, Large Language Modeling, Artificial Intelligence, Risk Management Framework, Expense Management, Productivity Software, Travel Arrangements, Test Case

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.9K reviews

    Beginner · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Developer

    Skills you'll gain: Gemini, API Gateway, Cloud Applications, Kubernetes, Google Cloud Platform, Containerization, Cloud Infrastructure, Cloud Development, Application Deployment, Prompt Engineering, CI/CD, Serverless Computing, Cloud-Native Computing, Microservices, Data Persistence, Application Development, Identity and Access Management, Cloud Computing, Cloud Storage, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Politecnico di Milano

    Artificial Intelligence: an Overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Intellectual Property, Responsible AI, Legal Risk, Reinforcement Learning, AI Enablement, Artificial Intelligence, General Data Protection Regulation (GDPR), Personally Identifiable Information, AI Security, Dimensionality Reduction, Legal Technology, Taxonomy, Cloud Platforms, Social Impact, Social Studies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    828 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    LLM Engineering That Works: Prompting, Tuning, and Retrieval

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Data Ethics, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • N

    NVIDIA

    AI Infrastructure and Operations Fundamentals

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Model Deployment, Cloud Infrastructure, AI Orchestration, Infrastructure Architecture, Data Infrastructure, Devops Tools, IT Infrastructure, Information Technology Operations, Deep Learning, Network Infrastructure, Hardware Architecture, Machine Learning, Data Centers, Computer Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    474 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Master ANN Search

    Skills you'll gain: Vector Databases, Embeddings, Retrieval-Augmented Generation, Artificial Neural Networks, LLM Application, Large Language Modeling, Data Ethics, Responsible AI, Applied Machine Learning, Model Evaluation, Performance Tuning, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

  • L

    Logical Operations

    R Programming for Data Science

    Skills you'll gain: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Statistical Visualization, Regression Analysis, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

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

  • Excel Skills for Business: Macquarie University
  • Building Reliable LLM Systems: Coursera
  • Integrate and Optimize AI Services Seamlessly: Coursera
  • Generative AI for Java and Spring Developers: IBM
  • Generative AI Assistants: Vanderbilt University
  • Preparing for Google Cloud Certification: Cloud Developer: Google Cloud
  • Artificial Intelligence: an Overview: Politecnico di Milano
  • LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • AI Infrastructure and Operations Fundamentals: NVIDIA

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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