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Artificial Intelligence Courses

Artificial intelligence courses can help you learn machine learning algorithms, natural language processing, computer vision, and neural networks. You can build skills in data analysis, predictive modeling, and automating tasks using AI techniques. Many courses introduce tools like TensorFlow, PyTorch, and Scikit-learn, that support implementing AI solutions and developing applications that leverage these advanced technologies.

Popular Artificial Intelligence Courses and Certifications


  • C

    Coursera

    Github Copilot with Python: Creating Text Games

    Skills you'll gain: GitHub Copilot, Object Oriented Design, Object Oriented Programming (OOP), Game Design, Unit Testing, Python Programming, AI Enablement, Program Development, GitHub, Development Environment, Debugging

    ★ 4.7 (11) · Intermediate · Guided Project · Less Than 2 Hours

  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming

    ★ 4.3 (16) · Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Power BI Developer

    Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Dashboard, Business Intelligence, Data Modeling, Data Storytelling, Extract, Transform, Load, Data Transformation, Data Visualization, Snowflake Schema, Business Analytics, Data Lakes, Data-Driven Decision-Making, Key Performance Indicators (KPIs), Data Analysis, Data Governance, Python Programming, Generative AI, Artificial Intelligence, Data Security

    ★ 3.6 (7) · Intermediate · Specialization · 1 - 3 Months

  • U

    Università di Napoli Federico II

    Data Science con Python e R

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Machine Learning Methods, Scripting Languages, Statistical Machine Learning, Scripting, Programming Principles

    ★ 4.2 (55) · Intermediate · Specialization · 1 - 3 Months

  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Practical Python for AI Coding 2

    Skills you'll gain: Matplotlib, Tensorflow, NumPy, Pandas (Python Package), Object Oriented Programming (OOP), Seaborn, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Data Manipulation

    ★ 4.6 (26) · Beginner · Course · 1 - 3 Months

  • U

    University of London

    Statistics and Clustering in Python

    Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Applied Machine Learning, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Plot (Graphics), Data Processing, Data Visualization Software, Python Programming, Machine Learning

    ★ 4.5 (22) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Create a Superhero Name Generator with TensorFlow

    Skills you'll gain: Tensorflow, Natural Language Processing, Python Programming, Applied Machine Learning, Machine Learning Methods, Model Training, Recurrent Neural Networks (RNNs), Generative Model Architectures, Machine Learning, Deep Learning

    ★ 4.7 (38) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Model Training, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Data Preprocessing, Natural Language Processing, Predictive Modeling, Machine Learning, Unstructured Data, Data Analysis, Machine Learning Algorithms, Python Programming, Computer Science

    ★ 4.5 (17) · Intermediate · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Master CNNs with Python: Build, Train & Evaluate Models

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Image Analysis, Predictive Modeling, Data Preprocessing, Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning, Python Programming, Cloud Computing, Development Environment

    ★ 4.7 (19) · Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis

    ★ 4.8 (11) · Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Preprocessing, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis

    ★ 4.5 (19) · Advanced · Specialization · 3 - 6 Months

  • H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Plot (Graphics), Mathematical Modeling, Scientific Visualization, Data Preprocessing, NumPy, Predictive Analytics, Statistical Modeling, Mathematical Software, Statistical Methods, Algebra, Python Programming

    ★ 4.3 (33) · Beginner · Specialization · 3 - 6 Months

1…161718…27

In summary, here are 10 of our most popular artificial intelligence courses

  • Github Copilot with Python: Creating Text Games: Coursera
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Power BI Developer: Edureka
  • Data Science con Python e R: Università di Napoli Federico II
  • Practical Python for AI Coding 2: Korea Advanced Institute of Science and Technology(KAIST)
  • Statistics and Clustering in Python: University of London
  • Create a Superhero Name Generator with TensorFlow: Coursera
  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • Master CNNs with Python: Build, Train & Evaluate Models: EDUCBA
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera

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