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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
    Free Trial
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    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    IBM

    IBM Generative AI Engineering

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    100K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • I

    IBM

    IBM Financial Planning and Analysis (FP&A) with AI Skills

    Skills you'll gain: Forecasting, Financial Statement Analysis, Budgeting, Variance Analysis, Financial Modeling, Management Reporting, Financial Planning, Corporate Finance, Data Storytelling, Key Performance Indicators (KPIs), Generative AI, Scenario Testing, Prompt Engineering, Risk Management, Microsoft Excel, Accrual Accounting, Stakeholder Management, Anomaly Detection, Data Visualization, Performance Stress Testing

    Beginner · Professional Certificate · 3 - 6 Months

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

    IBM

    IBM Data Analyst

    Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Generative AI, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, Data Wrangling, SQL, Plot (Graphics), IBM Cognos Analytics, Data Analysis, Professional Networking, Excel Formulas, Data Import/Export, Python Programming, Microsoft Excel

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    99K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    IBM

    Data Analysis with Python

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Cleansing, Data Preprocessing, Data Manipulation, Data Analysis, Data Processing, Model Training, Scatter Plots, Statistical Analysis, Predictive Modeling, Regression Analysis, Statistical Methods, Data Transformation, Feature Engineering, Data Import/Export, Scientific Visualization, Data Visualization, Python Programming

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    IBM

    IBM AI Engineering

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

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

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

    IBM

    IBM AI Product Manager

    Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Responsible AI, Generative Model Architectures, Product Development, Innovation, ChatGPT, Product Roadmaps, Product Planning, Machine Learning Methods, Commercialization, Generative Adversarial Networks (GANs), Generative AI Agents, Prompt Engineering Tools, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    IBM

    IBM Data Science

    Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Data Wrangling, SQL, Plot (Graphics), Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Cleansing, Jupyter, Data Literacy, Generative AI, Professional Networking, Data Import/Export

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    151K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM RAG and Agentic AI

    Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Retrieval-Augmented Generation, Agentic Workflows, LangChain, LLM Application, Prompt Patterns, Tool Calling, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, AI Integrations, OpenAI API, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Professional Certificate · 3 - 6 Months

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

    IBM

    IBM Cybersecurity Analyst

    Skills you'll gain: Operating System Administration, Digital Forensics, Cyber Threat Hunting, Email Security, Incident Response, IT Service Management, Cloud Computing, Governance Risk Management and Compliance, Information Technology Infrastructure Library, Network Security, Malware Protection, Networking Hardware, Service Management, Identity and Access Management, Penetration Testing, Database Management, Cyber Threat Intelligence, Interviewing Skills, Cybersecurity, Cyber Security Assessment

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28K reviews

    Beginner · 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: Cloud Deployment, Unit Testing, Software Development Life Cycle, CI/CD, Istio, Server Side, Cloud-Native Computing, Software Architecture, Cloud Infrastructure, Application Deployment, Responsive Web Design, Node.JS, Django (Web Framework), Git (Version Control System), HTML and CSS, Front-End Web Development, Cloud Computing, Data Ethics, Data Import/Export, Software Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Analyst

    Skills you'll gain: Business Analysis, Data Storytelling, Business Analysis Tools, Stakeholder Management, Stakeholder Analysis, Process Optimization, Requirements Management, Prompt Engineering, Business Systems Analysis, Business Requirements, Process Modeling, Process Improvement and Optimization, Data Presentation, Digital Transformation, Responsible AI, Business Process Modeling, Excel Formulas, Data Cleansing, Business Analytics, Process Analysis

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

    Beginner · Professional Certificate · 3 - 6 Months

1234…36

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

  • Generative AI: Introduction and Applications: IBM
  • IBM Generative AI Engineering: IBM
  • IBM Financial Planning and Analysis (FP&A) with AI Skills: IBM
  • IBM Data Analyst: IBM
  • Data Analysis with Python: IBM
  • IBM AI Engineering: IBM
  • IBM AI Product Manager: IBM
  • IBM Data Science: IBM
  • IBM RAG and Agentic AI: IBM
  • IBM Cybersecurity Analyst: 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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