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  • Artificial Intelligence

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.


More to explore:

Popular AI Courses and Certifications


  • E

    Edureka

    Power BI Connectivity, AI Integration & Reporting

    Skills you'll gain: Responsible AI, Power BI, Microsoft Azure, Microsoft Copilot, Business Intelligence, Data Architecture, Business Reporting, AI Personalization, Pandas (Python Package), Python Programming, Predictive Modeling, Generative AI, Matplotlib, Data Wrangling, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation, Data Visualization, Data Governance, R Programming, Continuous Deployment

    Advanced · Course · 1 - 4 Weeks

  • I

    Illinois Tech

    Data Preparation and Analysis

    Skills you'll gain: Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Preprocessing, Regression Analysis, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Logistic Regression

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Preprocessing, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Analysis, Matplotlib, Random Forest Algorithm, Machine Learning, Data Visualization, Decision Tree Learning, Artificial Neural Networks, Deep Learning, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Recommender Systems

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Autoencoders, Python Programming, Time Series Analysis and Forecasting, Data Manipulation

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Data Pipeline Engineering & Analytics

    Skills you'll gain: Dashboard, Data Preprocessing, Apache Airflow, Star Schema, Data Storytelling, Process Mapping, Extract, Transform, Load, Data Transformation, SQL, Data Pipelines, JSON, Apache Kafka, Data Warehousing, Data Modeling, Pandas (Python Package), Business Intelligence, Data Validation, Data Quality, Performance Improvement, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Queries with OpenAI: Translate Natural Text to SQL

    Skills you'll gain: OpenAI API, SQL, ChatGPT, Prompt Engineering, Pandas (Python Package), Natural Language Processing, Data Import/Export, Data Manipulation, Databases, Python Programming, Machine Learning, Software Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Washington

    Data Science at Scale - Capstone Project

    Skills you'll gain: Feature Engineering, Model Evaluation, Data Analysis, Predictive Modeling, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data Preprocessing, Predictive Analytics, Data Integration, Data Collection, Applied Machine Learning, R Programming, Research, Data Validation, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    26 reviews

    Mixed · Course · 1 - 3 Months

  • P

    Pearson

    Learning Deep Learning: Unit 1

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep-Dive into Tensorflow Activation Functions

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Power BI Connectivity, AI Integration & Reporting: Edureka
  • Data Preparation and Analysis: Illinois Tech
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Recommender Systems: Packt
  • Data Pipeline Engineering & Analytics: Coursera
  • Queries with OpenAI: Translate Natural Text to SQL: Coursera
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Data Science at Scale - Capstone Project: University of Washington
  • Learning Deep Learning: Unit 1: Pearson

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