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IBM AI Courses

IBM AI courses can help you learn how artificial intelligence (AI) models are designed, trained, and applied across different use cases. You can build skills in machine learning workflows, data preparation, model evaluation, and working with AI services offered through IBM’s platforms. Many courses introduce tools such as Python libraries, cloud-based environments, and interfaces that support experimenting with AI techniques and building practical solutions.


Popular IBM AI Courses and Certifications


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    U

    University of Maryland, College Park

    AI for Business Leaders

    Skills you'll gain: AI Personalization, Responsible AI, Deep Learning, Forecasting, Business Leadership, Risk Management, Business Analytics, Machine Learning, Analytics, Artificial Intelligence, Marketing Analytics, Applied Machine Learning, Customer Analysis, Supply Chain Management, Data-Driven Decision-Making, Big Data, People Analytics

    Intermediate · Course · 1 - 3 Months

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    M

    Microsoft

    AI agent fundamentals with Azure AI Foundry

    Skills you'll gain: Prompt Engineering, Microsoft Azure, Development Testing, Application Deployment, LLM Application, Multimodal Prompts, Artificial Intelligence, Test Case, Agentic systems, Application Programming Interface (API), Information Architecture, Natural Language Processing, Technical Documentation

    3.4
    Rating, 3.4 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 4 Weeks

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    A

    AI CERTs

    AI Foundations & Industry Overview for Telecommunication

    Skills you'll gain: Internet Of Things, Natural Language Processing, Telecommunications, Artificial Intelligence and Machine Learning (AI/ML), Automation, Network Performance Management, Network Monitoring, Data Pipelines, Generative AI Agents, Generative AI, Wireless Networks, Artificial Intelligence, Emerging Technologies, Network Architecture, Digital Communications, Computer Networking, Network Protocols, Responsible AI, Communication, System Design and Implementation

    Beginner · Course · 1 - 4 Weeks

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    D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
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    51K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    AI for Mechanical Engineers

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Precision Medicine, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Energy and Utilities, Technical Design, Robotics, Deep Learning, Computer Vision, Medical Imaging, Reinforcement Learning, Electric Power Systems, Bioinformatics

    4.4
    Rating, 4.4 out of 5 stars
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    131 reviews

    Intermediate · Specialization · 1 - 3 Months

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    M

    Microsoft

    Building AI Cloud Apps with Microsoft Azure

    Skills you'll gain: Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Text Mining, Microsoft Development Tools, Unsupervised Learning, Cloud Deployment, Data Storage Technologies, Natural Language Processing, Continuous Deployment, Computer Vision, Cloud Computing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
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    696 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    Scrimba

    AI for Web Developers

    Skills you'll gain: Prompt Engineering, Anthropic Claude, Responsible AI, OpenAI API, Cloud Deployment, Cloud Applications, LLM Application, OpenAI, HTML and CSS, ChatGPT, Application Deployment, Mobile Development, API Gateway, Web Applications, Generative AI, Model Deployment, Cloud Security, Data Ethics, Debugging, Artificial Intelligence

    4.5
    Rating, 4.5 out of 5 stars
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    285 reviews

    Intermediate · Specialization · 3 - 6 Months

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    I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering

    4.5
    Rating, 4.5 out of 5 stars
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    175 reviews

    Intermediate · Course · 1 - 4 Weeks

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    G

    Google Cloud

    Google Cloud AI Infrastructure

    Skills you'll gain: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Infrastructure, Hardware Architecture, Infrastructure Architecture, AI Workflows, Cloud Computing Architecture, Performance Tuning, Computer Hardware, MLOps (Machine Learning Operations), Cloud Platforms, Computing Platforms, Interoperability, Artificial Intelligence, Product Demonstration, Performance Improvement, Benchmarking, Systems Architecture

    4.3
    Rating, 4.3 out of 5 stars
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    22 reviews

    Intermediate · Specialization · 1 - 3 Months

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    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Enablement, Responsible AI, Real Time Data, Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Data Science, AI Workflows, Data Synthesis, Data Preprocessing, AI Personalization, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

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    Free Trial
    I

    IBM

    Generative AI Engineering and Fine-Tuning Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Transfer Learning, PyTorch (Machine Learning Library), Performance Tuning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
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    102 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Intro to Artificial Intelligence on Microsoft Azure

    Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Image Analysis, Microsoft Azure, Data Ethics, Artificial Intelligence, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Azure DevOps, Machine Learning, Information Privacy

    4.5
    Rating, 4.5 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • AI for Business Leaders: University of Maryland, College Park
  • AI agent fundamentals with Azure AI Foundry: Microsoft
  • AI Foundations & Industry Overview for Telecommunication: AI CERTs
  • AI For Everyone: DeepLearning.AI
  • AI for Mechanical Engineers: University of Michigan
  • Building AI Cloud Apps with Microsoft Azure: Microsoft
  • AI for Web Developers: Scrimba
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Google Cloud AI Infrastructure: Google Cloud
  • Generative AI for Data Scientists: IBM

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