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  • Artificial Intelligence And Machine Learning Ai Ml

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


  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Data Engineering, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Introduction to Machine Learning: Art of the Possible

    Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Business Planning, AI Enablement, Leadership and Management, Machine Learning, Process Development, Decision Making, Technology Roadmaps

    4.4
    Rating, 4.4 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    180 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Amazon Web Services, Reinforcement Learning, Deep Learning, Artificial Intelligence, Model Training, Amazon Elastic Compute Cloud, Model Deployment, Amazon S3, Serverless Computing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference

    4.9
    Rating, 4.9 out of 5 stars
    ·
    938 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

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

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Machine Learning Methods, Model Training, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Regression Analysis, Feature Engineering, Statistical Methods, Model Optimization, Verification And Validation, Data Transformation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 繁體中文

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

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Network Model, Network Architecture, Theoretical Computer Science, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Model Optimization, Model Training, AI Workflows, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Model Training, Computer Vision, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Natural Language Processing, Predictive Modeling, Data Science, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    856 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 한국어

    Skills you'll gain: Google Cloud Platform, Google Gemini, MLOps (Machine Learning Operations), Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, AI Workflows, Artificial Intelligence, Prompt Engineering, Natural Language Processing, Large Language Modeling, Applied Machine Learning, Agentic Workflows, Model Deployment, Model Training, Machine Learning, Model Evaluation

    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

  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Introduction to Machine Learning: Art of the Possible: Amazon Web Services
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Introduction to AI and Machine Learning: LearnKartS
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
  • Machine Learning with Neural Networks: Dartmouth College
  • Automate, Optimize, and Monitor ML Models: Coursera

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