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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
      I

      IBM

      Generative AI: Foundation Models and Platforms

      Skills you'll gain: Generative AI, OpenAI, Large Language Modeling, ChatGPT, Prompt Engineering, IBM Cloud, Tensorflow, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Natural Language Processing, Computing Platforms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Warehouse Fundamentals

      Skills you'll gain: Data Warehousing, Extract, Transform, Load, Star Schema, IBM DB2, Data Modeling, Snowflake Schema, PostgreSQL, Database Design, Data Architecture, Data Mart, Database Systems, Data Lakes, Data Validation, Data Integration, SQL, Data Cleansing, Query Languages, Data Quality

      4.5
      Rating, 4.5 out of 5 stars
      ·
      228 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      319 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Data Analysis and Hypothesis Testing

      Skills you'll gain: Data Visualization, Exploratory Data Analysis, Data Presentation, Statistical Hypothesis Testing, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Manipulation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      123 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      436 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Full Stack Application Development Capstone Project

      Skills you'll gain: Full-Stack Web Development, CI/CD, Kubernetes, Application Deployment, Application Development, Front-End Web Development, Restful API, Software Architecture, Microservices, Web Applications, Containerization, Serverless Computing, Cloud Applications, HTML and CSS, Back-End Web Development, Docker (Software), Node.JS, User Accounts, IBM Cloud, React.js

      4.6
      Rating, 4.6 out of 5 stars
      ·
      181 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Relational Database Administration (DBA)

      Skills you'll gain: Database Management, Database Architecture and Administration, Relational Databases, Operational Databases, Database Systems, IBM DB2, MySQL, Performance Tuning, PostgreSQL, Disaster Recovery, Data Storage Technologies, Database Design, System Monitoring, Role-Based Access Control (RBAC), User Accounts, Encryption

      4.4
      Rating, 4.4 out of 5 stars
      ·
      237 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: AI in Production

      Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, User Feedback, Performance Analysis, Project Performance, Business Metrics, Natural Language Processing, Project Implementation, Time Series Analysis and Forecasting, Continuous Monitoring

      4.5
      Rating, 4.5 out of 5 stars
      ·
      50 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Enhance your Data Analytics Career

      Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Prompt Engineering, ChatGPT, Data Ethics, Data Visualization Software, SQL, Python Programming, Query Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      115 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Enterprise Model Deployment

      Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Machine Learning, Containerization, Python Programming, Performance Tuning, Scalability, Design Thinking

      4.2
      Rating, 4.2 out of 5 stars
      ·
      55 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Getting Started on Mainframe with z/OS Commands and Panels

      Skills you'll gain: z/OS, Mainframe Computing, Data Management, Data Storage, Control Panels, Command-Line Interface, System Configuration, User Interface (UI)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      431 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Generative AI: Foundation Models and Platforms: IBM
    • Data Warehouse Fundamentals: IBM
    • Unsupervised Machine Learning: IBM
    • AI Workflow: Data Analysis and Hypothesis Testing: IBM
    • Statistics for Data Science with Python: IBM
    • Deep Learning and Reinforcement Learning: IBM
    • Full Stack Application Development Capstone Project: IBM
    • Relational Database Administration (DBA): IBM
    • AI Workflow: AI in Production: IBM
    • Generative AI: Enhance your Data Analytics Career : 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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