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IBM Courses

IBM courses can help you learn data analysis, cloud computing, artificial intelligence, and machine learning. You can build skills in programming with Python, utilizing SQL for database management, and implementing AI models for real-world applications. Many courses introduce tools like IBM Watson for AI development, IBM Cloud for scalable solutions, and various data visualization software, providing practical experience in leveraging technology to solve complex problems.

Popular IBM Courses and Certifications


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    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative Model Architectures, Generative AI, Business Ethics, AI literacy, Legal Risk, Socioeconomics, Ethical Standards And Conduct, Corporate Sustainability, Social Impact, Information Privacy, Accountability, Data Quality

    4.8
    Rating, 4.8 out of 5 stars
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    334 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), OpenAI, Hugging Face, Large Language Modeling, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
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    345 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, LLM Application, Generative AI Agents, Large Language Modeling, Generative AI, Tool Calling, Hugging Face, Context Engineering, Embeddings

    4.6
    Rating, 4.6 out of 5 stars
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    224 reviews

    Intermediate · Course · 1 - 4 Weeks

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    IBM

    Project: Generative AI Applications with RAG and LangChain

    Skills you'll gain: Vector Databases, LLM Application, Retrieval-Augmented Generation, Generative AI, Embeddings, Document Management, Fine-tuning, User Interface (UI)

    4.8
    Rating, 4.8 out of 5 stars
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    252 reviews

    Intermediate · Course · 1 - 4 Weeks

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    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Model Evaluation, Classification Algorithms, Logistic Regression

    4.6
    Rating, 4.6 out of 5 stars
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    102 reviews

    Intermediate · Course · 1 - 3 Months

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    IBM

    Data Science with R - Capstone Project

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Presentation, Data Visualization, Data Collection, Predictive Modeling, Interactive Data Visualization, Web Scraping, Shiny (R Package), Ggplot2, Data Analysis, Data Cleansing, Predictive Analytics, Tidyverse (R Package), Regression Analysis, Data Transformation, Data Science, Dashboard, Statistical Analysis, Dashboard Creation

    4.6
    Rating, 4.6 out of 5 stars
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    114 reviews

    Intermediate · Course · 1 - 3 Months

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    IBM

    Assessment for Data Analysis and Visualization Foundations

    Skills you'll gain: Microsoft Excel, Analytical Skills, Dashboard Creation, Excel Formulas, Spreadsheet Software, Dashboard, Data Analysis, IBM Cognos Analytics, Pivot Tables And Charts, Data Analysis Software, Analysis, Data Visualization Software, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
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    338 reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    SQL for Data Science with R

    Skills you'll gain: Database Design, Relational Databases, SQL, Database Development, Databases, R Programming, R (Software), Data Science, Query Languages, Data Access, Data Manipulation, Data Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    193 reviews

    Beginner · Course · 1 - 3 Months

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    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

    4.2
    Rating, 4.2 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 4 Weeks

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    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
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    204 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Model Training, Applied Machine Learning, Model Optimization, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
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    151 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Data Visualization with R

    Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Plot (Graphics), Dashboard Creation, Dashboard, Leaflet (Software), Interactive Data Visualization, Data Presentation, R (Software), R Programming, Scatter Plots, Graphing, Box Plots, Geospatial Information and Technology, Data Science, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    272 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Generative AI: Impact, Considerations, and Ethical Issues: IBM
  • Generative AI: Foundation Models and Platforms: IBM
  • Fundamentals of AI Agents Using RAG and LangChain: IBM
  • Project: Generative AI Applications with RAG and LangChain: IBM
  • Deep Learning with PyTorch: IBM
  • Data Science with R - Capstone Project: IBM
  • Assessment for Data Analysis and Visualization Foundations: IBM
  • SQL for Data Science with R: IBM
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Gen AI Foundational Models for NLP & Language Understanding: IBM

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