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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


  • Status: Free Trial
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    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, File I/O, Python Programming, Jupyter, Data Structures, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    43K reviews

    Beginner · Course · 1 - 3 Months

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    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
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    98K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
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    7.7K reviews

    Beginner · Course · 1 - 4 Weeks

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    Status: AI skills
    AI skills
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    IBM

    IBM Data Analyst

    Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, Model Evaluation, SQL, Data Transformation, Data Analysis, Statistical Visualization, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
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    22K reviews

    Beginner · Course · 1 - 4 Weeks

  • Next level skills. New Year savings.

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  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
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    IBM

    IBM Data Science

    Skills you'll gain: Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Visualization, Model Evaluation, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Manipulation, Data Literacy, Data Mining, Generative AI, Professional Networking, Data Import/Export

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    149K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    IBM

    Data Analysis with Python

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Data Preprocessing, Regression Analysis, Data Science, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Data Visualization, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    20K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Introduction to Data Analytics

    Skills you'll gain: Statistical Visualization, Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
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    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Course · 1 - 3 Months

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    IBM

    Databases and SQL for Data Science with Python

    Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    23K reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

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

  • Generative AI: Introduction and Applications: IBM
  • Python for Data Science, AI & Development: IBM
  • IBM Generative AI Engineering: IBM
  • Generative AI: Prompt Engineering Basics: IBM
  • IBM Data Analyst: IBM
  • IBM AI Engineering: IBM
  • Introduction to Artificial Intelligence (AI): IBM
  • IBM Data Science: IBM
  • Data Analysis with Python: IBM
  • Introduction to Data Analytics: IBM

Frequently Asked Questions about Ibm

IBM, or International Business Machines Corporation, is a multinational technology company known for its innovations in computing, artificial intelligence, and cloud solutions. Founded in 1911, IBM has played a pivotal role in shaping the technology landscape, providing businesses with tools and services that enhance efficiency and drive growth. Its importance lies in its commitment to research and development, which has led to groundbreaking advancements in areas such as quantum computing and AI. Understanding IBM's offerings can empower you to leverage its technologies in your career.‎

A variety of job opportunities exist within IBM and its ecosystem. Positions range from data analysts and AI engineers to cybersecurity analysts and business intelligence professionals. Roles such as IBM AI Product Manager and DevOps Engineer are also in demand, reflecting the company's focus on integrating AI and cloud technologies into business processes. By exploring these roles, you can find a career path that aligns with your interests and skills in the tech industry.‎

To pursue a career related to IBM, you should focus on developing skills in data analysis, artificial intelligence, cloud computing, and cybersecurity. Familiarity with programming languages such as Python and JavaScript is beneficial, as is knowledge of data management and analytics tools. Additionally, understanding DevOps practices can enhance your employability in tech roles. Building these skills can help you navigate the evolving job market and position yourself for success.‎

Some of the best online courses related to IBM include the IBM AI Engineering Professional Certificate and the IBM Data Analyst Professional Certificate. These programs provide comprehensive training in AI and data analytics, equipping you with the knowledge needed to excel in these fields. Exploring these options can help you find the right fit for your learning journey.‎

Yes. You can start learning IBM on Coursera for free in two ways:

  1. Preview the first module of many IBM courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in IBM, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn about IBM, start by identifying the specific area that interests you, such as AI, data analytics, or cybersecurity. Enroll in relevant courses on platforms like Coursera, where you can access structured learning paths. Engage with hands-on projects and community discussions to reinforce your understanding. Setting aside regular study time and applying what you learn in practical scenarios can enhance your learning experience.‎

IBM courses typically cover a range of topics, including artificial intelligence, data analysis, cloud computing, and cybersecurity. You can expect to learn about machine learning algorithms, data visualization techniques, and the principles of DevOps. These courses often include practical exercises and case studies, providing you with real-world applications of the concepts taught.‎

For training and upskilling employees, the IBM Business Analyst Professional Certificate and the IBM Cybersecurity Analyst Professional Certificate are excellent choices. These programs focus on essential skills that can enhance workforce capabilities in data analysis and cybersecurity, making them valuable for organizations looking to invest in their employees' development.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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