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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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    Simplilearn

    Generative AI in Design Phase Training

    Skills you'll gain: AI Personalization, Wireframing, Generative AI, Prototyping, Figma (Design Software), Information Architecture, User Interface and User Experience (UI/UX) Design, User Flows, UI Components, Technical Design, Application Design, Software Architecture, Responsive Web Design

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Edureka

    AI Applications: Computer Vision and Speech Recognition

    Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis

    5
    Rating, 5 out of 5 stars
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    8 reviews

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Model Armor: Mengamankan Deployment AI

    Skills you'll gain: AI Security, Open Web Application Security Project (OWASP), Model Deployment, Large Language Modeling, Threat Modeling, Security Controls, Google Cloud Platform, Cloud API, API Design, System Configuration

    Beginner · Course · 1 - 3 Months

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    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, AI Workflows, Scalability, AI Orchestration, DevOps, Model Evaluation, Continuous Monitoring, Version Control

    Intermediate · Course · 1 - 4 Weeks

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    Edureka

    Gemini and Vertex AI: Building Intelligent Applications

    Skills you'll gain: Prompt Engineering, Gemini, Model Deployment, Generative AI, Google Gemini, Generative AI Agents, LLM Application, AI Workflows, Tool Calling, Multimodal Prompts, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Large Language Modeling, Google Cloud Platform, Artificial Intelligence, AI Personalization, Performance Tuning, Python Programming, Software Development Tools, Cloud Platforms

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    LearnKartS

    Responsible AI with AWS Security and Governance

    Skills you'll gain: AWS Identity and Access Management (IAM), Identity and Access Management, AI Security, Amazon Web Services, Data Ethics, Generative AI, AWS SageMaker, Cloud Security, MLOps (Machine Learning Operations), Data Security, Data Governance, Artificial Intelligence, Encryption, Public Cloud, General Data Protection Regulation (GDPR)

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Introduction to Vertex AI Studio - 한국어

    Skills you'll gain: Prompt Engineering, Google Gemini, Generative AI, Multimodal Prompts, Product Lifecycle Management, LLM Application, Google Cloud Platform, Prototyping, Model Deployment, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    London Business School

    New Ways of Working in an AI World

    Skills you'll gain: AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Leadership Studies, Organizational Leadership, Responsible AI, Business Transformation, Data Strategy, Communication, Stakeholder Communications, Technology Strategies, Business Strategy, Business Ethics, Case Studies, Decision Making

    4.5
    Rating, 4.5 out of 5 stars
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    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Statistical Methods, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    75K reviews

    Beginner · Specialization · 3 - 6 Months

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    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Data Analysis, Pandas (Python Package), Software Documentation, Debugging

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Model Armor: 안전한 AI 배포

    Skills you'll gain: AI Security, Large Language Modeling, Model Deployment, Threat Modeling, Open Web Application Security Project (OWASP), Responsible AI, Security Controls, Cloud API, API Design, System Configuration

    Beginner · Course · 1 - 3 Months

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

  • Generative AI in Design Phase Training: Simplilearn
  • AI Applications: Computer Vision and Speech Recognition: Edureka
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Model Armor: Mengamankan Deployment AI: Google Cloud
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Gemini and Vertex AI: Building Intelligent Applications: Edureka
  • Responsible AI with AWS Security and Governance: LearnKartS
  • Introduction to Vertex AI Studio - 한국어: Google Cloud
  • New Ways of Working in an AI World: London Business School
  • Data Science Fundamentals with Python and SQL: IBM

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