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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: New
      New
      I

      IBM

      IBM Product Owner

      Skills you'll gain: Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Stakeholder Communications, Agile Methodology, Kanban Principles, Product Roadmaps, Virtual Teams, Stakeholder Management, Information Technology, Agile Project Management, Computer Hardware, Product Strategy, Product Planning, Product Management, User Story, Cloud Computing, Communication, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Business Intelligence (BI) Analyst

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, IBM DB2, Tableau Software, Relational Databases, Star Schema, Data Visualization Software, Interactive Data Visualization, Regression Analysis, Data-Driven Decision-Making, Excel Formulas, Microsoft Excel

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Penetration Testing, Threat Hunting, and Cryptography

      Skills you'll gain: Cyber Threat Hunting, Cyber Threat Intelligence, Threat Modeling, Penetration Testing, Threat Detection, Threat Management, MITRE ATT&CK Framework, Cryptography, Security Testing, Application Security, Encryption, Code Review, Vulnerability Scanning, Open Web Application Security Project (OWASP), Cyber Operations, Vulnerability Assessments, Security Information and Event Management (SIEM), Test Planning, Network Analysis, Data Integrity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Access, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning, Data Science, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Modeling, Applied Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      IBM Applied DevOps Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Agile Software Development, Kubernetes, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Code Coverage, Cloud-Native Computing, OpenShift, Cloud Applications, Containerization, Agile Methodology, DevOps, Secure Coding, Grafana, System Monitoring

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Data Literacy, Data Mining, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, ChatGPT, Cloud Computing, Data Analysis, Data Science, Deep Learning, Machine Learning, Data Strategy, Business Strategy, Business Process Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94K reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      IBM Program Manager

      Skills you'll gain: Program Management, Stakeholder Management, Resource Allocation, Agile Software Development, Stakeholder Engagement, Agile Methodology, Project Management Life Cycle, Kanban Principles, Change Management, Project Management Office (PMO), Organizational Strategy, Agile Project Management, Risk Management, Resource Management, Governance, Earned Value Management, Cost Management, Team Building, Project Management, Generative AI Agents

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Generative AI for Cybersecurity Professionals

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Cyber Threat Intelligence, Security Information and Event Management (SIEM), Threat Modeling, OpenAI, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Large Language Modeling, Artificial Intelligence, Natural Language Processing, Program Development, Anomaly Detection, Vulnerability Management, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      IBM IT Scrum Master

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Agile Software Development, User Story, Sprint Retrospectives, Agile Methodology, DevOps, Software Design, Kanban Principles, Scrum (Software Development), Information Technology, Software Engineering, Computer Hardware, Agile Project Management, Sprint Planning, Cloud Computing, Backlogs, Cloud-Native Computing, Software Development Methodologies, Network Troubleshooting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Analysis Software, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Collaborate Effectively for Professional Success

      Skills you'll gain: Collaboration, Teamwork, Virtual Teams, Cross-Functional Collaboration, Team Management, Meeting Facilitation, Leadership, Communication, Cultural Diversity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      744 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Building Smart Business Assistants with IBM Watson

      Skills you'll gain: IBM Cloud, ChatGPT, Self Service Technologies, Business Process Automation, Application Deployment, Artificial Intelligence, Customer Inquiries

      4.6
      Rating, 4.6 out of 5 stars
      ·
      463 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • IBM Product Owner: IBM
    • IBM Business Intelligence (BI) Analyst: IBM
    • Penetration Testing, Threat Hunting, and Cryptography: IBM
    • IBM Introduction to Machine Learning: IBM
    • IBM Applied DevOps Engineering: IBM
    • IBM AI Foundations for Business: IBM
    • IBM Program Manager: IBM
    • IBM Generative AI for Cybersecurity Professionals: IBM
    • IBM IT Scrum Master: IBM
    • Introduction to Data Science: 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.‎

    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.‎

    Yes, Coursera offers a variety of free courses across many topics, including IBM. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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