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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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    Coursera

    Data Visualization & Business Intelligence

    Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Analysis Expressions (DAX), Power BI, Data Visualization, Key Performance Indicators (KPIs), Data Transformation, Dashboard Creation, Presentations, Data Synthesis, Usability Testing, Microsoft PowerPoint, Star Schema, Data Integration, Business Intelligence Software, Microsoft Excel, Statistical Visualization, Business Intelligence, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
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    1.8K reviews

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Report Findings Effectively

    Skills you'll gain: Report Writing, Employee Surveys, Business Reporting, Employee Engagement, Management Reporting, Concision, Business Writing, Data Storytelling, Technical Communication, Action Oriented, Surveys, ChatGPT, Oral Expression, Generative AI, AI Integrations

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Vector Database Foundations and Core Concepts

    Skills you'll gain: Vector Databases, Embeddings, Generative AI, AI Workflows, Retrieval-Augmented Generation, Database Design, Database Systems, Model Optimization, Unstructured Data, Performance Tuning, Machine Learning Methods, Dimensionality Reduction, Model Evaluation, Scalability, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

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    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Model Training, Computer Vision, Fine-tuning, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Model Optimization, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
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    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Professional HRM Mastery

    Skills you'll gain: Succession Planning, Performance Appraisal, Responsible AI, Human Resource Strategy, Culture Transformation, Intercultural Competence, Applicant Tracking Systems, Performance Review, Strategic Leadership, Employee Engagement, Business Transformation, Conflict Management, Employee Retention, Compensation Management, Performance Management, Generative AI, Employee Onboarding, Recruitment, Change Management, Data-Driven Decision-Making

    4.5
    Rating, 4.5 out of 5 stars
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    1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Applied Data Science with R

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Database Design, Data Presentation, Ggplot2, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Data Collection, Predictive Modeling, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Shiny (R Package), SQL, R (Software), Data Manipulation, Web Scraping

    4.5
    Rating, 4.5 out of 5 stars
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    1.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
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    311 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Product Owner Capstone

    Skills you'll gain: Sprint Retrospectives, Agile Product Development, Sprint Planning, Agile Project Management, Backlogs, Agile Methodology, Product Management, Product Requirements, User Story, Portfolio Management, Product Planning, Continuous Improvement Process, Interviewing Skills, Stakeholder Engagement, Prioritization, Goal Setting

    4.9
    Rating, 4.9 out of 5 stars
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    8 reviews

    Advanced · Course · 1 - 3 Months

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    Packt

    Smarter Processes – ChatGPT for Lean Six Sigma

    Skills you'll gain: Prompt Engineering, Lean Six Sigma, Pareto Chart, Six Sigma Methodology, Statistical Process Controls, Regression Analysis, Quality Improvement, Generative AI, Quality Monitoring, Quality Management, Process Improvement, ChatGPT, Data Analysis, Lean Methodologies, Customer Insights, Analysis, Statistical Analysis, Data-Driven Decision-Making, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Comprende los agentes de Google Cloud

    Skills you'll gain: Google Gemini, Google Cloud Platform, Gemini, AI Orchestration, Generative AI Agents, AI Security, Model Deployment, Agentic Workflows, Google Workspace, AI Integrations, Agentic systems, LLM Application, Artificial Intelligence, Generative AI, Productivity Software, Large Language Modeling

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Politecnico di Milano

    Artificial Intelligence: an Overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Intellectual Property, AI literacy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Legal Risk, Reinforcement Learning, Artificial Intelligence, General Data Protection Regulation (GDPR), Infrastructure Architecture, Dimensionality Reduction, Cloud Platforms, Deep Learning, Social Impact, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    854 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Data Visualization & Business Intelligence: Coursera
  • Report Findings Effectively: Coursera
  • Vector Database Foundations and Core Concepts: Coursera
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Professional HRM Mastery: Coursera
  • Applied Data Science with R: IBM
  • Machine Learning Introduction for Everyone: IBM
  • Product Owner Capstone: IBM
  • Smarter Processes – ChatGPT for Lean Six Sigma: Packt

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