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Results for "ibm"


  • Status: Free Trial
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    I

    IBM

    IBM RAG and Agentic AI

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

    4.6
    Rating, 4.6 out of 5 stars
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    593 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

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

    4.6
    Rating, 4.6 out of 5 stars
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    97K reviews

    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: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, Model Evaluation, SQL, Data Transformation, Data Analysis, Statistical Visualization, 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
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    97K 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: Prompt Engineering, Cloud Deployment, Software Development Life Cycle, Cloud-Native Computing, Istio, Software Architecture, Kubernetes, CI/CD, Cloud Computing Architecture, 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
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    59K 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: Exploratory Data Analysis, Dashboard, Data Visualization Software, Data Visualization, Model Evaluation, 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
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    149K 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 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, Responsible AI, Commercialization, Artificial Intelligence, Product Strategy, Project Management Life Cycle, OpenAI

    4.7
    Rating, 4.7 out of 5 stars
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    34K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Computer Vision, Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, 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

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

    IBM

    IBM Java Developer

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Analyst

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

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

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Ethical Hacking with Open Source Tools

    Skills you'll gain: Threat Detection, Penetration Testing, Exploit development, Cyber Threat Intelligence, Threat Management, Incident Response, Vulnerability Scanning, Cyber Security Assessment, Vulnerability Assessments, Cybersecurity, Network Security, Vulnerability Management, Network Monitoring, Bash (Scripting Language), Intrusion Detection and Prevention, Network Troubleshooting, Anomaly Detection, Information Systems Security, Cyber Security Policies, Network Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    147 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    64K reviews

    Beginner · Professional Certificate · 3 - 6 Months

Searches related to ibm

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ibm rag and agentic ai professional certificate
ibm devops
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ibm generative ai engineering
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1234…33

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

  • IBM RAG and Agentic AI: IBM
  • Generative AI: Introduction and Applications: IBM
  • IBM Generative AI Engineering: IBM
  • IBM Data Analyst: IBM
  • IBM Full Stack Software Developer: IBM
  • IBM Data Science: IBM
  • IBM AI Product Manager: IBM
  • IBM AI Engineering: IBM
  • IBM Java Developer: IBM
  • IBM Business 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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