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Asynchronous Programming Courses

Asynchronous programming courses can help you learn event-driven programming, callback functions, promises, and async/await syntax. You can build skills in handling concurrency, managing asynchronous data flows, and optimizing performance in applications. Many courses introduce tools like Node.js for server-side programming and libraries such as Axios for making HTTP requests, demonstrating how these skills enhance user experience and application responsiveness.


More to explore:

Popular Asynchronous Programming Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Scientist Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    364 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Build RAG Applications: Get Started

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Embeddings, Vector Databases, Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    117 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
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    139 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Deep Learning, Matlab, Machine Learning Methods, Convolutional Neural Networks, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Transfer Learning, Geospatial Information and Technology, Traffic Flow Optimization, Medical Imaging, Data Validation, Estimation, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    94 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    U

    University of California, Santa Cruz

    C++ For C Programmers, Part B

    Skills you'll gain: C++ (Programming Language), Software Design Patterns, Object Oriented Programming (OOP), C (Programming Language), Debugging, Algorithms, Graph Theory, Artificial Intelligence, Data Structures, Game Design

    4.5
    Rating, 4.5 out of 5 stars
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    334 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Python Basics: Selection and Iteration

    Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Scripting, Computational Logic, Scripting Languages, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
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    270 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    C

    Cisco Learning and Certifications

    Introduction to Network Automation

    Skills you'll gain: Software-Defined Networking, Network Engineering, Network Architecture, Scripting, Application Programming Interface (API), Data Modeling, General Networking, Network Planning And Design, Automation, Network Administration, Linux Commands, Python Programming, Network Protocols, Command-Line Interface

    4.7
    Rating, 4.7 out of 5 stars
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    88 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    A

    Arm

    Arm Cortex-M Architecture and Software Development

    Skills you'll gain: Embedded Software, Performance Tuning, System Programming, Software Development Tools, Embedded Systems, Software Development, Hardware Architecture, Debugging, Application Security, Microarchitecture, Computer Architecture, C (Programming Language), Digital Signal Processing, System Configuration, Application Development, Security Engineering, C++ (Programming Language), System Requirements

    4.6
    Rating, 4.6 out of 5 stars
    ·
    204 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    Duke University

    Introduction to Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, ChatGPT, OpenAI, Multimodal Prompts, Large Language Modeling, OpenAI API, Hugging Face, Responsible AI, GitHub, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    208 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Python Data Products for Predictive Analytics

    Skills you'll gain: Model Evaluation, Model Deployment, Supervised Learning, Feature Engineering, Predictive Modeling, Data Processing, Data Manipulation, Predictive Analytics, MLOps (Machine Learning Operations), Classification Algorithms, Applied Machine Learning, Data Visualization, Design Thinking, Web Scraping, Machine Learning Algorithms, Flask (Web Framework), Data Visualization Software, Data Validation, Machine Learning, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
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    252 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Warehouse Fundamentals

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Star Schema, IBM DB2, Data Modeling, Snowflake Schema, PostgreSQL, Database Design, Data Architecture, Data Mart, Database Systems, Data Lakes, Data Validation, Data Integration, SQL, Data Cleansing, Query Languages, Data Quality

    4.5
    Rating, 4.5 out of 5 stars
    ·
    253 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular asynchronous programming courses

  • Data Scientist Career Guide and Interview Preparation: IBM
  • Build RAG Applications: Get Started: IBM
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Computer Vision for Engineering and Science: MathWorks
  • C++ For C Programmers, Part B: University of California, Santa Cruz
  • Python Basics: Selection and Iteration: Codio
  • Introduction to Network Automation: Cisco Learning and Certifications
  • Arm Cortex-M Architecture and Software Development: Arm
  • Introduction to Generative AI: Duke University
  • Python Data Products for Predictive Analytics: University of California San Diego

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