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    Results for "artificial intelligence and machine learning (ai/ml)"

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Cloud Machine Learning Engineering and MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework), Automation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      AI Agents and Agentic AI Architecture in Python

      Skills you'll gain: Generative AI Agents, LLM Application, Prompt Patterns, Prompt Engineering, Agentic systems, Tool Calling, Large Language Modeling, Persona (User Experience), Business Logic, Application Programming Interface (API), Transaction Processing, Document Management, Coordinating, Persona Development, Coordination, Plan Execution, Data Sharing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning Operations with Vertex AI: Model Evaluation

      Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, System Monitoring, Google Cloud Platform, Data Ethics, Responsible AI, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      426 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Data for Machine Learning

      Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Machine Learning Methods, Test Data, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      AI Python for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, ChatGPT, Application Development, Scripting, Programming Principles, Automation, Application Programming Interface (API), Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      186 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.3
      Rating, 3.3 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      776 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Image Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Reliability, Cloud Computing and Machine Learning

      Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Relational Databases, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: IoT, Machine Learning and Blockchain

      Skills you'll gain: AWS SageMaker, Amazon Web Services, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML), Blockchain, Image Analysis, Remote Access Systems, Text Mining, Computer Vision, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Advanced Machine Learning Algorithms

      Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis

      3.5
      Rating, 3.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular artificial intelligence and machine learning (ai/ml) courses

    • Cloud Machine Learning Engineering and MLOps: Duke University
    • AI Agents and Agentic AI Architecture in Python: Vanderbilt University
    • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
    • Supervised Machine Learning: Classification: IBM
    • Data for Machine Learning: Alberta Machine Intelligence Institute
    • AI Python for Beginners: DeepLearning.AI
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
    • Supervised Machine Learning: Regression: IBM
    • Generative AI: Prompt Engineering Basics: IBM
    • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University

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