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  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Science

    Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, R (Software), Data Modeling, Database Management, Relational Databases, Stored Procedure, R Programming, Model Deployment, Databases, Data Science, Big Data, Query Languages, GitHub, Software Development Tools, Data Visualization Software, Cloud Computing, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    102K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I
    U
    I

    Multiple educators

    Data Science Foundations

    Skills you'll gain: Dashboard Creation, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Analytical Skills, Programming Principles, Predictive Modeling, Machine Learning Algorithms, Data Science, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    117K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Cybersecurity

    Skills you'll gain: Threat Modeling, Network Security, Threat Management, Vulnerability Management, Intrusion Detection and Prevention, Hardening, Computer Security Incident Management, Security Management, Cyber Threat Intelligence, Security Awareness, Incident Response, Cybersecurity, Network Protocols, Endpoint Detection and Response, Bash (Scripting Language), Debugging, Linux, Web Presence, Python Programming, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    66K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Machine Learning Methods, Recurrent Neural Networks (RNNs), Python Programming, Model Training, Model Optimization

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    39K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
    ·
    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    An Introduction to Programming the Internet of Things (IOT)

    Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Network Protocols, Basic Electrical Systems, Automation Engineering, User Requirements Documents, Functional Specification, Electronics, Electronic Components, Linux Commands, Systems Design, Operating Systems, Requirements Analysis, Debugging, Cloud API, Application Programming Interface (API), Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Generative Model Architectures, OpenAI, Data Storytelling, Analytics, Prompt Engineering Tools, AI literacy, Dashboard Creation, Data Analysis, Interactive Data Visualization, Data Ethics, Responsible AI, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Augmented and Virtual Reality (AR/VR), Data Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Amazon Web Services, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pragmatic AI Labs

    Databricks Lakehouse Fundamentals

    Skills you'll gain: Databricks, Data Lakes, Data Engineering, Data Wrangling, Apache Spark, Data Access, Data Processing, Data Warehousing, Data Architecture, Data Management, Data Synthesis, Data Science, Data Mining, Data Integrity, Data Modeling, Data Presentation, Data Entry, Data Storage, SQL, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pragmatic AI Labs

    GitHub: Codespaces, Actions, and Ecosystem Tools

    Skills you'll gain: GitHub Copilot, CI/CD, Development Environment, Continuous Integration, GitHub, Cloud Development, Fine-tuning, Hugging Face, Continuous Deployment, Microsoft Copilot, Model Deployment, YAML, DevOps, Large Language Modeling, AI Workflows, AI Enablement, Containerization, Docker (Software), Python Programming, AI Personalization

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular python) courses

  • Introduction to Data Science: IBM
  • Data Science Foundations: IBM
  • Google Cybersecurity: Google
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Machine Learning: DeepLearning.AI
  • Cloud Application Development Foundations: IBM
  • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
  • Generative AI for Data Analysts: IBM
  • Introduction to Machine Learning: Duke University
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud

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