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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

    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Apache Spark, PySpark, Databricks

    Intermediate · Course · 1 - 4 Weeks

  • J

    John Wiley & Sons

    Marketing with AI for Dummies

    Skills you'll gain: Responsible AI, AI Personalization, Data Ethics, Marketing Automation, Marketing, Marketing Strategies, Marketing Analytics, Marketing Effectiveness, Generative AI, Marketing Planning, Machine Learning, Predictive Analytics, Content Creation, Supervised Learning, Unsupervised Learning, Artificial Intelligence, Performance marketing, Customer Engagement, Data Analysis, Web Analytics and SEO

    Beginner · Course · 3 - 6 Months

  • S

    SkillsBooster Academy

    Prompt Engineering Fundamentals

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Prompt Patterns, Responsible AI, LLM Application, ChatGPT, AI Workflows, AI Personalization, Generative AI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Automation, Collaboration, Productivity, Innovation, Organizational Skills, Debugging, Business Technologies

    Beginner · Course · 1 - 3 Months

  • D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    355 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Building RAG Systems with Open Models

    Skills you'll gain: Retrieval-Augmented Generation, Generative AI, LangChain, Software Design Patterns, Vector Databases, LLM Application, Embeddings, Prompt Engineering, Large Language Modeling, Model Evaluation, Text Mining, Scalability, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Human Resource Management: HR for People Managers

    Skills you'll gain: Performance Management, Performance Appraisal, Performance Review, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Employee Performance Management, Recruitment Strategies, Human Capital, Full Cycle Recruitment, Talent Acquisition, Human Resources Management and Planning, Compensation Analysis, People Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Deploying and Debugging ML Microservices

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Docker (Software), Software Architecture, Kubernetes, Restful API, CI/CD, Scalability, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Cloud Application Development Foundations

    Skills you'll gain: Cloud-Native Computing, Node.JS, React Redux, Cloud Computing Architecture, CI/CD, Cloud Applications, Cloud Services, Cloud Development, Cloud Deployment, NoSQL, HTML and CSS, MongoDB, Server Side, Agile Methodology, Hypertext Markup Language (HTML), JavaScript Frameworks, Full-Stack Web Development, Front-End Web Development, DevOps, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10K reviews

    Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Mendeploy dan Menskalakan Model AI dengan Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Deployment, Serverless Computing, Cloud Deployment, Generative AI, Cloud Applications, Application Deployment, AI Enablement, MLOps (Machine Learning Operations), Data Integration, Containerization, Data Storage Technologies, Machine Learning Methods, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Virginia

    Digital Product Management

    Skills you'll gain: Usability Testing, Agile Product Development, New Product Development, Continuous Delivery, Agile Software Development, User Story, Product Management, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, DevOps, Customer Analysis, Innovation, Analytics, Business Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Optimize AI: Build Fast Efficient Pipelines

    Skills you'll gain: Dataflow, Performance Testing, Application Performance Management, Data Pipelines, MLOps (Machine Learning Operations), Data Flow Diagrams (DFDs), Computational Thinking, Data Processing, Data Manipulation

    Intermediate · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Deploy ML Models to Production

    Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API), Continuous Monitoring

    Beginner · Course · 1 - 4 Weeks

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

  • Engineer, Validate, and Govern ML Data: Coursera
  • Marketing with AI for Dummies: John Wiley & Sons
  • Prompt Engineering Fundamentals: SkillsBooster Academy
  • Python Essentials for MLOps: Duke University
  • Building RAG Systems with Open Models: Coursera
  • Human Resource Management: HR for People Managers: University of Minnesota
  • Deploying and Debugging ML Microservices: Coursera
  • Cloud Application Development Foundations: IBM
  • Mendeploy dan Menskalakan Model AI dengan Cloud Run: Google Cloud
  • Digital Product Management: University of Virginia

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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