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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


  • A

    AI CERTs

    AI for Telecommunications

    Skills you'll gain: Responsible AI, Data Ethics, PyTorch (Machine Learning Library), Model Training, Telecommunications, Tensorflow, Internet Of Things, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Emerging Technologies, Generative AI, Wireless Networks, Network Performance Management, Digital Communications, Generative AI Agents, Network Architecture, Network Protocols, Computer Networking, System Design and Implementation, Communication

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Advanced · Specialization · 1 - 3 Months

  • M

    Microsoft

    Building AI Cloud Apps with Microsoft Azure

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    756 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    AI Integration & Platform Optimization in Advanced Fabric

    Skills you'll gain: Data Architecture, Data Security, Microsoft Azure, Computing Platforms, Collaborative Software, Software Architecture, Cloud Security, Information Systems Security, Data Infrastructure, Systems Architecture, Data Management, Capacity Management, Database Architecture and Administration, AI Enablement, Data Governance, AI Integrations, Data Presentation, Role-Based Access Control (RBAC), Machine Learning, Data Analysis

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Autoencoders, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of Michigan

    AI for Mechanical Engineers

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, AI powered creativity, Precision Medicine, Generative AI, Machine Learning, AI literacy, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Model Optimization, Energy and Utilities, Image Analysis, AI Workflows, Robotics, Deep Learning, Medical Imaging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    189 reviews

    Intermediate · Specialization · 1 - 3 Months

  • 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, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    4.4
    Rating, 4.4 out of 5 stars
    ·
    198 reviews

    Intermediate · Course · 1 - 4 Weeks

  • B

    British Standards Institution

    ISO/IEC 22989:2023 An Introduction to the Fundamentals of AI

    Skills you'll gain: Responsible AI, Artificial Intelligence, Quality Management Systems, AI literacy, Data Ethics, Stakeholder Analysis, Systems Development Life Cycle, Stakeholder Management, Governance, Risk Management

    Mixed · Course · 1 - 3 Months

  • M

    Microsoft

    AI agent fundamentals with Azure AI Foundry

    Skills you'll gain: AI Workflows, Generative AI Agents, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, Microsoft Azure, LLM Application, Artificial Intelligence, AI Integrations, Model Deployment, Prompt Engineering, Application Deployment, Program Development, GitHub, Development Environment, Software Development, Natural Language Processing, Technical Documentation

    3.6
    Rating, 3.6 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Artificial Intelligence for Cybersecurity

    Skills you'll gain: AI Security, Threat Detection, Large Language Modeling, Intrusion Detection and Prevention, LLM Application, Cybersecurity, Cyber Security Strategy, Applied Machine Learning, Fraud detection, AI Integrations, Cyber Engineering, IT Automation, Machine Learning Methods, Cyber Attacks, Anomaly Detection, Federated Learning, Malware Protection, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cyber Risk

    Intermediate · Course · 3 - 6 Months

  • M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    296 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    Saïd Business School, University of Oxford

    AI Fundamentals in Financial Services

    Skills you'll gain: Machine Learning Methods, Financial Services, Artificial Intelligence, Responsible AI, FinTech, Financial Data, Decision Intelligence, Financial Regulation, Banking, Fraud detection, Machine Learning, Unsupervised Learning, Data Ethics, Natural Language Processing, AI Personalization, Deep Learning, Credit Risk, Reinforcement Learning, Algorithms, Data Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    68 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    IBM & Darden Digital Strategy

    Skills you'll gain: Data Storytelling, Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Data Wrangling, Competitive Analysis, Cloud Services, Data Presentation, Cloud Deployment, Business Transformation, Responsible AI, Cloud Security, Cloud Technologies, Cloud Infrastructure, Big Data, Cloud Platforms, Cloud Computing, Generative AI, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

1…456…410

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

  • AI for Telecommunications: AI CERTs
  • Building AI Cloud Apps with Microsoft Azure: Microsoft
  • AI Integration & Platform Optimization in Advanced Fabric: Packt
  • Generative AI for Data Scientists: IBM
  • AI for Mechanical Engineers: University of Michigan
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • ISO/IEC 22989:2023 An Introduction to the Fundamentals of AI: British Standards Institution
  • AI agent fundamentals with Azure AI Foundry: Microsoft
  • Artificial Intelligence for Cybersecurity: Packt
  • Microsoft Azure Machine Learning: Microsoft

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