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  • Html Css And Javascript

HTML, CSS, and JavaScript Courses

HTML, CSS, and JavaScript courses can help you learn web page structure, styling, and interactivity, along with responsive design and accessibility practices. You can build skills in creating layouts, implementing animations, and optimizing user experiences across different devices. Many courses introduce tools like code editors, version control systems, and browser developer tools, that support testing and refining your projects. By mastering these skills and tools, you’ll be well-equipped to develop engaging websites and applications.


Popular HTML, CSS, and JavaScript Courses and Certifications


  • C

    Coursera

    Career Development for GenAI Ops

    Skills you'll gain: Emotional Intelligence, Stakeholder Management, Executive Presence, Professional Development, Leadership and Management, Business Leadership, Technical Management, Personal Development, AI Enablement, Operational Excellence, Business Communication, Strategic Thinking, Generative AI, Communication, Value Propositions, Risk Management, Cloud Computing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • P

    Packt

    Databricks Associate Developer: Apache Spark with Python

    Skills you'll gain: Apache Spark, PySpark, Databricks, Data Pipelines, Data Processing, Big Data, Apache, Real Time Data, Python Programming, Model Evaluation, Machine Learning, SQL, Data Transformation, Performance Tuning, Distributed Computing

    Intermediate · Course · 1 - 3 Months

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

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

    Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Analyze Business Data Using Statistics Foundations

    Skills you'll gain: Data Analysis, Data Visualization, Machine Learning

    Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Data Preprocessing, Applied Machine Learning, Data Lakes, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Data Quality, Machine Learning, Embeddings, Artificial Intelligence, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 3 Months

  • E

    Edge Impulse

    Edge AI Fundamentals

    Skills you'll gain: MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Machine Learning Methods, Deep Learning, Computer Vision, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Cloud Computing, Internet Of Things, Product Engineering, Embedded Systems, Industrial Engineering, Data Science, Product Development

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Accounting Data Analytics

    Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Data Visualization, Scikit Learn (Machine Learning Library), Matplotlib, Data Literacy, Tableau Software, Data Presentation, Data Visualization Software, Unsupervised Learning, Exploratory Data Analysis, Pandas (Python Package), Seaborn, Text Mining, Time Series Analysis and Forecasting, Data Preprocessing, SQL, Predictive Modeling, Machine Learning, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    Universidad Nacional Autónoma de México

    Introducción a la inteligencia artificial

    Skills you'll gain: Bayesian Network, Computational Logic, Program Development, Artificial Intelligence, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Game Theory, Theoretical Computer Science, Software Development, Generative AI, Logical Reasoning, Python Programming, Applied Machine Learning, Responsible AI, Deductive Reasoning, Social Sciences, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    649 reviews

    Intermediate · Specialization · 3 - 6 Months

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1…262728…74

In summary, here are 10 of our most popular html, css and javascript courses

  • Career Development for GenAI Ops: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Databricks Associate Developer: Apache Spark with Python: Packt
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Analyze Business Data Using Statistics Foundations: EDUCBA
  • Machine Learning in Production: DeepLearning.AI
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Databricks ML in Action: Packt
  • Edge AI Fundamentals: Edge Impulse

Skills you can learn in Mobile And Web Development

Web (13)
Mobile App (9)
Javascript (8)
Mobile Application Development (8)
Web Development (8)
Android Software Development (7)
CSS (6)
Programming Language (6)
Web Application (6)
Android Studio (5)
Angularjs (5)
Computer Program (5)

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Math and Logic
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