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    IBM Courses Online

    Discover courses from IBM, focusing on technology, data science, and business. Learn from industry experts and gain practical skills.

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    Explore the IBM Course Catalog

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, Predictive Modeling, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Supervised Learning, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Generative AI, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      144K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Cybersecurity Analyst

      Skills you'll gain: Cyber Threat Hunting, Incident Response, IT Service Management, Identity and Access Management, Cloud Computing, Information Technology Infrastructure Library, Endpoint Security, Malware Protection, Penetration Testing, Linux, Computer Security Incident Management, Database Management, Network Security, Networking Hardware, TCP/IP, Cybersecurity, Intrusion Detection and Prevention, Cyber Threat Intelligence, Interviewing Skills, Cyber Security Assessment

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Agentic systems, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Software Design, Data Governance, Large Language Modeling, Application Development, Database Systems, Data Storage Technologies, Databases, Artificial Intelligence, NoSQL, Full-Stack Web Development, Flask (Web Framework), Database Management, Software Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Prompt Engineering, Istio, Node.JS, Software Development Life Cycle, Software Architecture, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Kubernetes, Cloud Services, Django (Web Framework), Object-Relational Mapping, Git (Version Control System), Flask (Web Framework), Full-Stack Web Development, Cascading Style Sheets (CSS), Cloud Computing, Jupyter, Engineering Software

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, IBM Cloud

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5K reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Predictive Modeling, Generative AI, SQL, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Jupyter, Big Data, Matplotlib, IBM Cognos Analytics, Excel Formulas, Python Programming, Professional Networking, Microsoft Excel

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Reinforcement Learning, Regression Analysis, Deep Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents, Image Analysis, Data Manipulation, Natural Language Processing, Tensorflow, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      20K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Business Analyst

      Skills you'll gain: Data Storytelling, Requirements Elicitation, Risk Mitigation, Business Analysis, Business Process Modeling, Risk Analysis, Project Scoping, Process Optimization, Data Visualization, Requirements Management, Prompt Engineering, Risk Management, Business Requirements, Stakeholder Management, Work Breakdown Structure, Stakeholder Engagement, Excel Formulas, Microsoft Excel, Business Analytics, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Software Architecture, Large Language Modeling, ChatGPT, Flask (Web Framework), Generative AI, Cascading Style Sheets (CSS), Software Design, Unit Testing, Jupyter, Scrum (Software Development), Bootstrap (Front-End Framework), Software Engineering, Software Design Patterns, Responsive Web Design, Python Programming, Engineering Software, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Keras (Neural Network Library), ChatGPT, Flask (Web Framework), Supervised Learning, Exploratory Data Analysis, Data Wrangling, Unit Testing, Data Analysis, Jupyter, Regression Analysis, Deep Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents

      4.6
      Rating, 4.6 out of 5 stars
      ·
      88K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Artificial Intelligence (AI)

      Skills you'll gain: Generative AI, ChatGPT, Natural Language Processing, Data Governance, Computer Science, Business Intelligence, Business Ethics, Robotic Process Automation, Content Creation, Risk Mitigation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • IBM Data Science: IBM
    • IBM Cybersecurity Analyst: IBM
    • IBM RAG and Agentic AI: IBM
    • IBM Full Stack Software Developer: IBM
    • Python for Data Science, AI & Development: IBM
    • Generative AI: Prompt Engineering Basics: IBM
    • IBM Data Analyst: IBM
    • IBM AI Engineering: IBM
    • IBM Business Analyst: IBM
    • IBM AI Developer: IBM

    Frequently Asked Questions about Ibm

    IBM courses cover a wide range of topics essential for understanding and utilizing IBM technologies and solutions. These include foundational courses in data science, artificial intelligence, and cloud computing. Learners will explore specific IBM tools such as Watson for AI and machine learning, IBM Cloud for cloud solutions, and IBM Blockchain for distributed ledger technology. Advanced courses might cover topics like cybersecurity, quantum computing, and data analytics using IBM's suite of software and services. Practical projects and case studies help learners apply these concepts in real-world scenarios.‎

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

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

    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.‎

    Choosing the right IBM course depends on your current skill level and career aspirations. Beginners should look for courses that introduce IBM's key technologies and platforms, such as IBM Cloud, Watson, and basic data science tools. Those with some experience might benefit from intermediate courses focusing on specific applications like machine learning with Watson, blockchain development, or cloud infrastructure management. Advanced learners or professionals seeking specialized knowledge might consider courses on quantum computing, advanced data analytics, or advanced cybersecurity. Reviewing course content, instructor expertise, and learner feedback can help ensure the course aligns with your goals.‎

    A certificate in IBM technologies can open up various career opportunities in the tech industry and beyond. Common roles include data scientist, AI engineer, cloud solutions architect, and blockchain developer. These positions involve using IBM tools and platforms to develop innovative solutions, analyze data, and manage cloud infrastructures. With the increasing demand for expertise in IBM technologies across industries, earning a certificate can significantly enhance your career prospects and opportunities for advancement in fields such as technology, finance, healthcare, and consulting.‎

    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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