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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: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Istio, Software Development Life Cycle, Kubernetes, Unit Testing, Cloud Computing Architecture, Application Deployment, React Redux, Cloud Services, Django (Web Framework), Cloud-Native Computing, Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Full-Stack Web Development, HTML and CSS, Cloud Computing, Jupyter, Generative AI, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: ChatGPT, Generative AI, IBM Cloud, Software Development Tools, Image Analysis, Technical Communication, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM Data Management

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Presentation, Data Governance, Data Security, Data Migration, Database Design, Data Visualization, MySQL, Interactive Data Visualization, Descriptive Statistics, Data Mining, Cloud Storage, Data Visualization Software, Statistical Hypothesis Testing, Extract, Transform, Load, IBM DB2, Excel Formulas

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      IBM Business Analyst

      Skills you'll gain: Data Storytelling, Requirements Elicitation, Risk Mitigation, Business Analysis, Business Process Modeling, Data Presentation, Risk Analysis, Project Scoping, Process Mapping, Process Optimization, Data Visualization, Requirements Management, Risk Management, Interactive Data Visualization, Business Requirements, Stakeholder Management, Stakeholder Engagement, Excel Formulas, Microsoft Excel, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM AI Engineering

      Skills you'll gain: PyTorch (Machine Learning Library), Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Jupyter, Natural Language Processing, Reinforcement Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Manipulation, Tensorflow, Python Programming, Verification And Validation, Applied Machine Learning, ChatGPT, Artificial Neural Networks, Statistical Machine Learning

      Build toward a degree

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

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Data Manipulation, Seaborn, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      142K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Cybersecurity Analyst

      Skills you'll gain: Cyber Threat Hunting, Incident Response, IT Service Management, Identity and Access Management, Cloud Computing, Governance Risk Management and Compliance, Information Technology Infrastructure Library, Endpoint Security, Malware Protection, Penetration Testing, Linux, Computer Security Incident Management, Database Management, Network Security, Networking Hardware, TCP/IP, Cybersecurity, 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: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Presentation, Data Visualization, SQL, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Data Analysis, Pandas (Python Package), MySQL, Excel Formulas, Professional Networking, Automation, Microsoft Excel, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, Apache Hadoop, SQL, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Jupyter, Generative AI, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Excel Basics for Data Analysis

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Generative AI, Unit Testing, Supervised Learning, Feature Engineering, Keras (Neural Network Library), Deep Learning, ChatGPT, Natural Language Processing, Data Cleansing, Jupyter, Data Analysis, Unsupervised Learning, Data Manipulation, PyTorch (Machine Learning Library), Artificial Intelligence, Data Import/Export, Data Ethics, Exploratory Data Analysis, OpenAI, Scikit Learn (Machine Learning Library)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      85K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

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