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  • Reactive Programming

Reactive Programming Courses

Reactive programming courses can help you learn asynchronous data streams, event-driven architecture, and the principles of reactive systems. You can build skills in handling real-time data, managing state changes, and implementing backpressure strategies. Many courses introduce tools like RxJava, Reactor, and Akka, that support building responsive applications and integrating with APIs. By exploring these topics, you’ll gain practical experience in creating applications that efficiently respond to user interactions and system events.


Popular Reactive Programming Courses and Certifications


  • I

    IBM

    IBM Machine Learning

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

    Build toward a degree

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

    Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Packt

    Introduction to Python and Google Colab Fundamentals

    Skills you'll gain: Data Structures, Python Programming, Programming Principles, Computer Programming, Program Development, Object Oriented Programming (OOP), Scripting, Debugging, Scripting Languages, Algorithms, Functional Design

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Tools of the Trade: Linux and SQL

    Skills you'll gain: Bash (Scripting Language), Operating Systems, File Systems, Linux Commands, Linux, SQL, Unix, Database Management, Command-Line Interface, Relational Databases, Authorization (Computing), Authentications, User Accounts

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • H

    Hebrew University of Jerusalem

    Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

    Skills you'll gain: Computer Architecture, Computer Hardware, Computer Engineering, Computer Science, Computational Logic, Programming Principles, Computer Programming, System Design and Implementation, Program Development, Data Storage

    4.9
    Rating, 4.9 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    AI Engineering Masterclass: From Zero to AI Hero

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    AI Engineer Professional

    Skills you'll gain: MLOps (Machine Learning Operations), Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Containerization, AI Workflows, Model Evaluation, Model Deployment, Generative AI Agents, LangGraph, Keras (Neural Network Library), Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Image Analysis, Deep Learning, Large Language Modeling, Natural Language Processing, Vision Transformer (ViT), Python Programming

    Advanced · Specialization · 1 - 3 Months

  • P

    Packt

    AI & Python Development Megaclass

    Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications

    Beginner · Specialization · 3 - 6 Months

  • U

    University of California San Diego

    Mathematical Thinking in Computer Science

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Python Programming, Computer Science, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Program Development, Pseudocode, Problem Solving, Python Programming, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Introducción a Data Science: Programación Estadística con R

    Skills you'll gain: R Programming, Statistical Programming, Ggplot2, Plot (Graphics), Data Manipulation, Simulations, Statistical Software, Statistical Visualization, Data Processing, Graphing, Programming Principles, Data Import/Export, Scripting, Exploratory Data Analysis, Data Structures, Software Installation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.6K reviews

    Beginner · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Building Agentic AI Systems

    Skills you'll gain: Agentic systems, Generative AI, Responsible AI, AI Security, AI Workflows, Artificial Intelligence, Prompt Engineering, LLM Application, LangChain, Data Ethics, Restful API, Automation, Natural Language Processing, Python Programming

    Intermediate · Course · 1 - 3 Months

1…454647…424

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

  • IBM Machine Learning: IBM
  • Introduction to Python and Google Colab Fundamentals: Packt
  • Tools of the Trade: Linux and SQL: Google
  • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
  • AI Engineering Masterclass: From Zero to AI Hero: Packt
  • AI Engineer Professional: Packt
  • AI & Python Development Megaclass: Packt
  • Mathematical Thinking in Computer Science: University of California San Diego
  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Introducción a Data Science: Programación Estadística con R: Universidad Nacional Autónoma de México

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