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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


  • C

    CertNexus

    Analyze Data

    Skills you'll gain: Data Analysis, Data Preprocessing, Data Visualization, Statistical Analysis, Exploratory Data Analysis, Statistical Visualization, Statistical Methods, Analytical Skills, Data Processing, Data Wrangling, Data Transformation, Descriptive Statistics, Data Cleansing, Histogram, Data Manipulation, Scatter Plots, Applied Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Building AI-Powered Application with .NET

    Skills you'll gain: Machine Learning Methods, .NET Framework, GitHub Copilot, Machine Learning Algorithms, Model Deployment, Machine Learning, OpenAI API, Model Training, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Security, OpenAI, Microsoft Azure, AI Integrations, LLM Application, Cloud Deployment, Microsoft Visual Studio

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Understand RAG Basics

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Data Flow Diagrams (DFDs), Prompt Engineering, AI Integrations, Generative AI, Embeddings, Diagram Design, Large Language Modeling, Vector Databases, Data Pipelines, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • 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, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Devops Tools, BeeAI, Docker (Software), Cloud Deployment, Agentic systems, Google Cloud Platform, Cloud Platforms, Kubernetes, Applied Machine Learning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Image Classification on Autopilot with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Model Evaluation, Model Training, Computer Vision, Applied Machine Learning, Model Optimization, Plot (Graphics), Machine Learning, Python Programming, Data Science

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Model Optimization, Large Language Modeling, Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Model Training, Deep Learning, Applied Machine Learning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Aligning Business Strategy for AI Integration

    Skills you'll gain: Machine Learning Methods, Competitive Analysis, AI Enablement, Machine Learning, Applied Machine Learning, Responsible AI, Business Strategy, Data Ethics, Technology Strategies, Business Strategies, Business Ethics, Organizational Strategy, Decision Intelligence, Strategic Thinking, Market Analysis, Corporate Strategy, AI Integrations, Process Analysis, Artificial Intelligence and Machine Learning (AI/ML), Value Propositions

    Beginner · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Model Optimization, Cloud Management, Model Training, Cloud Deployment, Data Store, Data Strategy, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Feature Engineering, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Feature Engineering em Português Brasileiro

    Skills you'll gain: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, Data Transformation, Applied Machine Learning, Keras (Neural Network Library), Data Store, Machine Learning, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Advanced Semantic Processing

    Skills you'll gain: Embeddings, Natural Language Processing, Text Mining, Applied Machine Learning, Classification Algorithms, Unsupervised Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Google Cloud Product Fundamentals en Français

    Skills you'll gain: Digital Transformation, Google Workspace, Google Cloud Platform, Business Transformation, Cloud Management, Collaborative Software, Cloud Applications, Cloud Development, Productivity Software, Leadership, Cloud Solutions, Cross-Functional Team Leadership, Cloud Infrastructure, Technology Strategies, Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Cost Management, Application Development, Applied Machine Learning, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Master AI Skills: Analyze, Build & Deploy Systems

    Skills you'll gain: Computer Vision, Artificial Intelligence, Image Analysis, Natural Language Processing, Generative AI, AI powered creativity, AI literacy, Large Language Modeling, Model Deployment, Amazon Bedrock, AI Workflows, AI Integrations, AI Security, Robotics, Application Deployment, Data Processing, Applied Machine Learning, Reinforcement Learning, Scalability

    Beginner · Course · 1 - 3 Months

1…606162…77

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

  • Analyze Data: CertNexus
  • Building AI-Powered Application with .NET: Packt
  • Understand RAG Basics: Coursera
  • AI Agents and MLOps for Production-Ready AI: Packt
  • Image Classification on Autopilot with AWS AutoGluon: Coursera
  • RNN Architecture and Sentiment Classification: Packt
  • Aligning Business Strategy for AI Integration: Northeastern University
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • Feature Engineering em Português Brasileiro: Google Cloud
  • Advanced Semantic Processing: Packt

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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