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Find the best IBM course for your goals

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM GenAI Engineering with PyTorch, LangChain & Hugging Face

    Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Keras (Neural Network Library), Data Transformation, Supervised Learning, Flask (Web Framework), Data Analysis, Data Cleansing, Data Manipulation, LLM Application, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    94K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    IBM

    IBM RAG and Agentic AI: Build Next-Gen AI Systems

    Skills you'll gain: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Large Language Modeling, UI Components, Semantic Web, Artificial Intelligence, Data Storage Technologies, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    422 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, CI/CD, Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Istio, Cloud Computing Architecture, Application Deployment, Kubernetes, React Redux, Node.JS, Responsive Web Design, Restful API, Django (Web Framework), Git (Version Control System), Server Side, Hypertext Markup Language (HTML), Cloud Computing, Data Import/Export, Engineering Software

    Build toward a degree

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

    Beginner · Professional Certificate · 3 - 6 Months

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

    IBM

    IBM Java Developer

    Skills you'll gain: Prompt Engineering, Cloud-Native Computing, Software Development Life Cycle, Software Architecture, Hibernate (Java), Database Design, Responsive Web Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Object Oriented Programming (OOP), Microservices, CI/CD, Restful API, Java Programming, Engineering Software, Version Control, Database Management, Software Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering with Python, PyTorch & TensorFlow

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Computer Vision, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, Image Analysis, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Deep Learning, Applied Machine Learning, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

    IBM

    IBM Data Science

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Data Visualization, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Peer Review, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Manipulation, Data Literacy, Generative AI, Professional Networking, Data Import/Export

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    147K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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: Exploratory Data Analysis, Data Storytelling, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Generative AI, SQL, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Big Data, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    96K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • 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, Generative Model Architectures, Product Development, Innovation, ChatGPT, Product Roadmaps, Usability Testing, Product Planning, Commercialization, Artificial Intelligence, Product Strategy, Project Management Life Cycle, OpenAI, Stakeholder Engagement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Beginner · Course · 1 - 4 Weeks

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

    IBM

    IBM Cybersecurity Analyst

    Skills you'll gain: Operating System Administration, 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, Computer Security Incident Management, Linux Commands, Database Management, Network Security, Networking Hardware, Cybersecurity, Cyber Threat Intelligence, Interviewing Skills, Cyber Security Assessment

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    IBM

    IBM iOS and Android Mobile App Developer

    Skills you'll gain: React Native, Prompt Engineering, Software Development Life Cycle, Flutter (Software), Software Architecture, Swift Programming, Mobile Development, Apple Xcode, Android Studio, Android Development, React Redux, Apple iOS, Responsive Web Design, Git (Version Control System), GitHub, Software Design, Android (Operating System), Cascading Style Sheets (CSS), User Experience Design, AI Personalization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.4K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Analyst with Excel, SQL & Cognos Analytics

    Skills you'll gain: Data Storytelling, Risk Mitigation, Business Analysis, Business Process Modeling, Risk Analysis, Project Scoping, Process Flow Diagrams, Stakeholder Analysis, Process Optimization, Data Visualization, Requirements Management, Prompt Engineering, Risk Management, Stakeholder Management, Digital Transformation, Responsible AI, Excel Formulas, Microsoft Excel, Business Analytics, Business Requirements

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

    Beginner · Professional Certificate · 3 - 6 Months

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

  • IBM GenAI Engineering with PyTorch, LangChain & Hugging Face: IBM
  • IBM RAG and Agentic AI: Build Next-Gen AI Systems: IBM
  • IBM Full Stack Software Developer: IBM
  • IBM Java Developer: IBM
  • IBM AI Engineering with Python, PyTorch & TensorFlow: IBM
  • IBM Data Science: IBM
  • IBM Data Analyst: IBM
  • IBM AI Product Manager: IBM
  • Generative AI: Introduction and Applications: IBM
  • IBM Cybersecurity Analyst: IBM

Frequently Asked Questions about Ibm

Browse the IBM courses below—popular starting points on Coursera.

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

These IBM programs are beginner-friendly and designed for learners without prior experience:

  • IBM Data Analyst Certificate – Teaches Excel, SQL, Python, and data visualization.
  • IBM AI Developer Certificate – Focuses on AI tools and real-world use cases, no coding required to start.
  • IBM Cybersecurity Analyst Certificate – Covers threat intelligence, tools, and job-ready security practices. ‎

The IBM RAG and Agentic AI Professional Certificate lasts 8 weeks and focuses on:

  • Tool calling
  • Data storage technologies
  • UI components

It uses tools like Power BI and React.

The IBM Generative AI Engineering Professional Certificate spans 6 months and emphasizes:

  • Data wrangling
  • Feature engineering
  • Exploratory data analysis

It uses tools such as pandas, numpy, and PyTorch.

Both courses require basic knowledge but differ in depth and duration. Choose based on whether you prefer:

  • A quicker course with a focus on generative AI agents
  • A more extensive program on generative AI engineering.‎

IBM offers a variety of Professional Certificates designed to help you develop practical, job-ready skills in tech. Choose based on your career goals:

  • For data analysis, explore the IBM Data Analyst Professional Certificate or IBM Data Science Professional Certificate.
  • To start in AI or machine learning, try the IBM RAG and Agentic AI Professional Certificate, IBM AI Engineering Certificate or IBM AI Developer Professional Certificate.
  • For cybersecurity, go with the IBM Cybersecurity Analyst Certificate.
  • Interested in development? The IBM Full Stack Software Developer Certificate covers front-end and back-end languages and cloud-native development.‎
  • A course focuses on one topic, like Python for Data Science, AI & Development.
  • A Specialization combines multiple courses for broader understanding—for example, Introduction to Machine Learning Specialization.
  • A Professional Certificate prepares you for specific roles with career-aligned training, tools, and projects—like the IBM Data Analyst or IBM Generative AI Engineering certificates.‎

Click here to ask ChatGPT to find the right IBM course on Coursera for your learning goals.‎

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.‎

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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