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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


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Cloud AI Infrastructure

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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Blueprint to Bytecode: Architecting Scalable AI Systems

    Skills you'll gain: Model Deployment, Data Cleansing, Data Transformation, Data Preprocessing, Data Storytelling, Feature Engineering, AWS SageMaker, AI Integrations, Systems Architecture, Solution Architecture, Model Optimization, Cloud Computing Architecture, Scalability, MLOps (Machine Learning Operations), System Design and Implementation, Kubernetes, Data Engineering, Cloud Infrastructure, Docker (Software), Prometheus (Software)

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Integrate AI Insights

    Skills you'll gain: AI Integrations, AI Enablement, Prompt Engineering, AI literacy, AI Workflows, Artificial Intelligence, Automation, Model Optimization, Operational Analysis, Configuration Management, Model Evaluation, Software Documentation, Productivity

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure AI in Healthcare

    Skills you'll gain: Health Informatics, Azure Active Directory, Medical Privacy, Cloud Security, Health Care, Identity and Access Management, Real Time Data, Data Infrastructure, Model Training, Patient Education and Support, AI Security, Microsoft Azure, Clinical Data Management, Clinical Monitoring, Health Technology, Image Analysis, Data Visualization Software, Patient Communication, Generative AI, AI Integrations

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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

  • U

    University of Colorado Boulder

    Master of Science in Artificial Intelligence

    Skills you'll gain: Prompt Engineering, User Story, New Product Development, Model Based Systems Engineering, Model Evaluation, Failure Analysis, Sustainable Business, Data Mining, Field-Programmable Gate Array (FPGA), Delegation Skills, Strategic Decision-Making, Real-Time Operating Systems, Object Oriented Design, Project Schedules, Sampling (Statistics), Proposal Writing, Data Ethics, Sustainability Reporting, Database Design, Agentic systems

    Earn a degree

    Degree · 1 - 4 Years

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pragmatic AI Labs

    AI Tooling Capstone: Serverless Multi-Model Systems

    Skills you'll gain: Serverless Computing, Amazon Bedrock, AI Workflows, Prompt Engineering, YAML, AI Integrations, AI Orchestration, LLM Application, Model Deployment, Amazon Web Services, Generative Model Architectures, Model Evaluation, Rust (Programming Language), Large Language Modeling, Open Source Technology

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    AI Security: Security in the Age of Artificial Intelligence

    Skills you'll gain: Threat Modeling, Data Loss Prevention, Mobile Security, DevSecOps, MLOps (Machine Learning Operations), Vulnerability Scanning, Model Optimization, Incident Response, LLM Application, Hardening, Application Security, Anomaly Detection, Responsible AI, Security Controls, Data Security, CI/CD, Infrastructure Security, Continuous Monitoring, Penetration Testing, Vulnerability Assessments

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    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
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Saïd Business School, University of Oxford

    AI Essentials

    Skills you'll gain: Responsible AI, AI Enablement, Artificial Neural Networks, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, AI literacy, Generative AI, Generative AI Agents, Machine Learning Methods, Deep Learning, Machine Learning, LLM Application, Convolutional Neural Networks, Supervised Learning, Fraud detection, Reinforcement Learning, Ethical Standards And Conduct, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    173 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    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

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

  • Google Cloud AI Infrastructure: Google Cloud
  • Blueprint to Bytecode: Architecting Scalable AI Systems: Coursera
  • Generative AI for Data Scientists: IBM
  • Integrate AI Insights: Coursera
  • Microsoft Azure AI in Healthcare: Microsoft
  • ISO/IEC 22989:2023 An Introduction to the Fundamentals of AI: British Standards Institution
  • Master of Science in Artificial Intelligence: University of Colorado Boulder
  • AI Tooling Capstone: Serverless Multi-Model Systems: Pragmatic AI Labs
  • AI Security: Security in the Age of Artificial Intelligence: Coursera
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM

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