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IBM Courses

IBM courses can help you learn data analysis, cloud computing, artificial intelligence, and machine learning. You can build skills in programming with Python, utilizing SQL for database management, and implementing AI models for real-world applications. Many courses introduce tools like IBM Watson for AI development, IBM Cloud for scalable solutions, and various data visualization software, providing practical experience in leveraging technology to solve complex problems.


Popular IBM Courses and Certifications


  • Status: Free Trial
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    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    356 reviews

    Intermediate · Course · 1 - 3 Months

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    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    191 reviews

    Advanced · Course · 1 - 3 Months

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    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    682 reviews

    Advanced · Course · 1 - 4 Weeks

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    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Deep Learning, Autoencoders, Tensorflow, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
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    1K reviews

    Intermediate · Course · 1 - 3 Months

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    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    55 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Agentic AI Protocols (MCP, A2A, ACP)

    Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Agentic systems, Collaborative Software, System Design and Implementation, Interoperability, Coordination, Communication Systems, Network Protocols, Workflow Management, Case Studies, Scalability

    Mixed · Course · 1 - 4 Weeks

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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Tensorflow, Artificial Neural Networks, Classification Algorithms, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning Methods, Model Evaluation, Data Preprocessing, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    1.9K reviews

    Intermediate · Course · 1 - 3 Months

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    Board Infinity

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Responsible AI, LLM Application, Model Evaluation, Scripting, Debugging

    4.6
    Rating, 4.6 out of 5 stars
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    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    79 reviews

    Intermediate · Course · 1 - 3 Months

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    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, AI Security, Social Impact, Information Privacy, Accountability

    4.8
    Rating, 4.8 out of 5 stars
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    303 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    SQL for Data Science with R

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Data Modeling, Query Languages, Data Access, Data Manipulation, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    184 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Machine Learning Methods, Image Analysis, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular ibm courses

  • Unsupervised Machine Learning: IBM
  • Machine Learning Capstone: IBM
  • AI Capstone Project with Deep Learning : IBM
  • Deep Learning with Keras and Tensorflow: IBM
  • AI Workflow: AI in Production: IBM
  • Agentic AI Protocols (MCP, A2A, ACP): Coursera
  • Introduction to Neural Networks and PyTorch: IBM
  • Generative AI: Prompt Engineering Basics: Board Infinity
  • Deep Learning with PyTorch: IBM
  • Generative AI: Impact, Considerations, and Ethical Issues: IBM

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