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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


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    IBM

    z/Architecture Assembler Language Pt 2: Machine Instructions

    Skills you'll gain: z/OS, Mainframe Computing, Computer Architecture, Mainframe Technologies, System Programming, Computational Logic, Programming Principles, Computer Programming, Computer Science, Job Control Language (JCL)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Machine Learning Methods, Generative AI Agents, Generative AI, Prompt Patterns, Generative Model Architectures, Prompt Engineering Tools, AI literacy, Risking, Retrieval-Augmented Generation, LLM Application, Agentic systems, Machine Learning Algorithms, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    23K reviews

    Beginner · Course · 1 - 4 Weeks

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    Macquarie University

    Adversarial AI: Attacking, Defending & Governing ML Systems

    Skills you'll gain: Responsible AI, AI Security, Security Testing, Threat Modeling, Data Ethics, Cybersecurity, Penetration Testing, Cyber Governance, Cyber Attacks, Regulatory Compliance, Secure Coding, Information Privacy, Data Governance, Artificial Intelligence and Machine Learning (AI/ML), Governance, Artificial Intelligence, Machine Learning Methods

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Autoencoders, Data-Driven Marketing, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Supervised Learning, Python Programming, Algorithms

    Beginner · Course · 1 - 3 Months

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    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

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    Edureka

    Delta Lake and Medallion Architecture for AI and ML

    Skills you'll gain: PySpark, Data Lakes, Databricks, Data Pipelines, Apache Spark, Data Architecture, Data Transformation, Data Infrastructure, MLOps (Machine Learning Operations), Data Processing, Data Manipulation, Data Cleansing, Data Validation, Data Quality, Data Maintenance, Data Management, Python Programming, Data Entry, SQL, Data Collection

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Michigan

    Generative AI as a Learning Design Partner

    Skills you'll gain: Generative AI, AI Personalization, Responsible AI, AI powered creativity, Prompt Engineering, Education Software and Technology, Course Development, ChatGPT, AI literacy, Instructional Design, LLM Application, Curriculum Planning, AI Integrations, Brainstorming, Artificial Intelligence, Data Ethics, Design Strategies, Content Creation, Emerging Technologies, Professional Development

    4.7
    Rating, 4.7 out of 5 stars
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    94 reviews

    Beginner · Specialization · 1 - 3 Months

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    Packt

    Learning Continuous Integration with Jenkins

    Skills you'll gain: Continuous Deployment, Continuous Integration, Jenkins, CI/CD, Continuous Delivery, Cloud-Native Computing, Devops Tools, SonarQube, DevOps, Artifactory, Kubernetes, Infrastructure as Code (IaC), Cloud Deployment, AI Integrations, Containerization, ChatGPT, Authentications, Agile Methodology, Git (Version Control System), Automation

    Intermediate · Course · 1 - 3 Months

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    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Web Services, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Model Training, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Cloud Storage, Data Storage, Data Security, Applied Machine Learning, Encryption, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
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    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Convolutional Neural Networks, Model Training, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    100 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Import/Export, Data Cleansing, Data Quality, Model Training, Data Transformation, Data Validation, Data Integrity, Data Access, Continuous Monitoring, Object Oriented Programming (OOP), Object Oriented Design

    Intermediate · Course · 1 - 4 Weeks

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

  • z/Architecture Assembler Language Pt 2: Machine Instructions: IBM
  • Introduction to Artificial Intelligence (AI): IBM
  • Adversarial AI: Attacking, Defending & Governing ML Systems: Macquarie University
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Foundations of Model Optimization and Deep Learning: Packt
  • Delta Lake and Medallion Architecture for AI and ML: Edureka
  • Generative AI as a Learning Design Partner: University of Michigan
  • Learning Continuous Integration with Jenkins: Packt
  • AWS: ML Workflows with SageMaker, Storage & Security: Whizlabs

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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