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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

    AI for App Building

    Skills you'll gain: Vibe coding, Responsible AI, Google Gemini, Google Cloud Platform, Generative AI, Process Analysis, Artificial Intelligence, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    460 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Pragmatic AI Labs

    GitHub Enterprise Administration

    Skills you'll gain: GitHub, Package and Software Management, Okta, Azure Active Directory, Security Assertion Markup Language (SAML), Enterprise Application Management, Single Sign-On (SSO), Git (Version Control System), CI/CD, Authorization (Computing), Role-Based Access Control (RBAC), Enterprise Security, Identity and Access Management, Apache Maven, User Provisioning, MLOps (Machine Learning Operations), Containerization, Security Controls, Security Strategy, Automation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Geneva

    Understanding Financial Markets

    Skills you'll gain: Financial Market, Capital Markets, Portfolio Management, Investments, Market Dynamics, Equities, Portfolio Risk, Economics, Banking, Asset Management, Risk Management, Financial Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Apply SCD2 to Build Dynamic Data Models

    Skills you'll gain: Data Warehousing, Data Modeling, Trend Analysis, Business Intelligence, Scalability, Audit Planning, Data Integrity, Database Design, Data Management, Data Quality, Data Pipelines, SQL

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Introduction to Embedded Systems Software and Development Environments

    Skills you'll gain: Software Configuration Management, Embedded Software, Embedded Systems, Git (Version Control System), Version Control, Build Tools, Software Development Tools, C (Programming Language), Development Environment, Software Technical Review, Software Design, Hardware Architecture, Computer Architecture, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    648 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Understanding Open AI Workspaces

    Skills you'll gain: Generative AI, Cloud Computing, Cloud API, API Design, Python Programming, Data Persistence

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Build Serverless Automation with AWS Lambda

    Skills you'll gain: API Design, Cloud Solutions, Network Troubleshooting, Server Side, Cloud Deployment, Back-End Web Development, Data Pipelines

    Beginner · Course · 1 - 4 Weeks

  • M

    Meta

    Meta Data Analyst

    Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Analysis, Data Visualization Software, Spreadsheet Software, Exploratory Data Analysis, SQL, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Vector Databases for RAG: An Introduction

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Database Systems, LLM Application, Data Storage Technologies, Databases, NoSQL, AI Enablement, Large Language Modeling, Database Management, AI Personalization, Generative AI Agents, Database Architecture and Administration, Applied Machine Learning, Information Management, Generative AI

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    438 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Embedded Firmware Engineering

    Skills you'll gain: Embedded Software, Real-Time Operating Systems, Embedded Systems, Software Architecture, Pseudocode, Systems Architecture, Software Systems, Hardware Architecture, Computer Hardware, System Programming, Computer Architecture, Software Design, Cross Platform Development, Application Design, Systems Design, Software Design Patterns, Internet Of Things, Systems Integration, Maintainability, Peripheral Devices

    Intermediate · Specialization · 1 - 3 Months

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

  • AI for App Building: Google
  • GitHub Enterprise Administration: Pragmatic AI Labs
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • Understanding Financial Markets: University of Geneva
  • Apply SCD2 to Build Dynamic Data Models: Coursera
  • Introduction to Embedded Systems Software and Development Environments: University of Colorado Boulder
  • Understanding Open AI Workspaces: Coursera
  • Build Serverless Automation with AWS Lambda: EDUCBA
  • Meta Data Analyst: Meta
  • Vector Databases for RAG: An Introduction: 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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