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  • Artificial Intelligence And Machine Learning Ai Ml

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


  • C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Harden AI: Secure Your ML Pipelines

    Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Application Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Training, Model Deployment, Microsoft Azure, Artificial Intelligence, Applied Machine Learning, Python Programming, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Process Driven Development, Natural Language Processing, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    978 reviews

    Advanced · Course · 1 - 3 Months

  • C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Classification And Regression Tree (CART), Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Model Training, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Top AI Program
    Top AI Program
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Supervised Learning, Bayesian Statistics, Statistical Machine Learning, Model Training, Logistic Regression, Statistical Modeling, Data Mining

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Virginia

    Artificial Intelligence in Marketing

    Skills you'll gain: AI Personalization, Marketing Strategies, Data-Driven Marketing, Digital Transformation, Marketing, Marketing Analytics, Network Model, Data-Driven Decision-Making, Machine Learning Algorithms, Personalized Campaigns, Artificial Intelligence, Digital Marketing, Business Strategy, Case Studies, Customer Insights, Competitive Analysis, Network Analysis, Customer Engagement, AI Integrations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    353 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Applied Machine Learning, Statistical Machine Learning, Deep Learning, Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, AI Enablement, Machine Learning Algorithms, AI literacy, Artificial Neural Networks, Convolutional Neural Networks, AI Product Strategy, Regression Analysis, Law, Regulation, and Compliance

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    67 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    832 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Pennsylvania

    Artificial Intelligence Essentials

    Skills you'll gain: Agentic systems, Artificial Intelligence, Algorithms, AI literacy, Python Programming, Responsible AI, Theoretical Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    Lund University

    Artificial Intelligence: Ethics & Societal Challenges

    Skills you'll gain: Responsible AI, Artificial Intelligence, AI literacy, Social Impact, Algorithms, Ethical Standards And Conduct, Information Privacy, Governance, Robotics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    358 reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    AWS Artificial Intelligence Practitioner

    Skills you'll gain: Responsible AI, Generative AI, Amazon Bedrock, Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Amazon Web Services, AI Security, Artificial Intelligence, Model Optimization, Applied Machine Learning, Prompt Engineering, Machine Learning Methods, Model Training, LLM Application, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    38 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

  • ML Concepts, Models & Workflow Essentials: Coursera
  • Harden AI: Secure Your ML Pipelines: Coursera
  • Developing AI Applications on Azure: LearnQuest
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • IBM Machine Learning: IBM
  • Machine Learning: University of Washington
  • Artificial Intelligence in Marketing: University of Virginia
  • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Artificial Intelligence Essentials: University of Pennsylvania

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