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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


  • Status: Free Trial
    Free Trial
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    Whizlabs

    Data Science and Machine Learning Engineering on Microsoft Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Model Training, Machine Learning, Supervised Learning, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Validation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Applied Cryptography

    Skills you'll gain: Cryptography, Encryption, Network Security, Cybersecurity, Security Engineering, Network Protocols, Federated Learning, Security Management

    4.8
    Rating, 4.8 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies

    3.9
    Rating, 3.9 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Google Cloud

    Introduction to AI and Machine Learning on GC - Español

    Skills you'll gain: Google Cloud Platform, Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), AI literacy, Artificial Intelligence, AI Workflows, Cloud Infrastructure, Agentic systems, Applied Machine Learning, Model Training, Model Deployment, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of London

    Introduction to Applied Cryptography

    Skills you'll gain: Cryptography, Cryptographic Protocols, Application Security, Cybersecurity, Data Security, Encryption, Vulnerability Assessments, Information Systems Security, Key Management, Public Key Infrastructure, Mobile Security, Data Integrity

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    77 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    MLOps in R: Deploying machine learning models using vetiver

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

    Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Model Deployment, Model Training, Google Cloud Platform, Data Quality, Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Keras (Neural Network Library), Data Strategy, Machine Learning, Machine Learning Methods, Embeddings, Cloud Deployment, Applied Machine Learning, AI Product Strategy, Responsible AI, Dataflow

    4.7
    Rating, 4.7 out of 5 stars
    ·
    92 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advancing Your Career in AI and Machine Learning Engineering

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence, Model Deployment, Technical Design, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Predictive Modeling, Jupyter, Predictive Analytics, Model Evaluation, Model Optimization, Data Analysis, Machine Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    225 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Applied DeepSeek: Building Intelligent Systems

    Skills you'll gain: DeepSeek API, LLM Application, Deepseek, Generative AI Agents, Prompt Engineering, AI Workflows, Tool Calling, Model Deployment, AI Orchestration, Agentic Workflows, Prompt Patterns, Large Language Modeling, AI Integrations, Cloud Deployment, Gemini, OpenAI, Application Deployment, Generative AI, Agentic systems, Data Science

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Italiano

    Skills you'll gain: Generative AI, Gemini, Google Gemini, MLOps (Machine Learning Operations), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, AI Workflows, Artificial Intelligence, Model Training, Applied Machine Learning, Cloud Infrastructure, Machine Learning

    Beginner · Course · 1 - 3 Months

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

  • Data Science and Machine Learning Engineering on Microsoft Azure: Whizlabs
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Cyber Security: Applied Cryptography: Macquarie University
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • Introduction to AI and Machine Learning on GC - Español: Google Cloud
  • Introduction to Applied Cryptography: University of London
  • MLOps in R: Deploying machine learning models using vetiver: Coursera
  • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
  • Advancing Your Career in AI and Machine Learning Engineering: Coursera
  • Data Science Challenge: Coursera

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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