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    • Ibm Ai

    IBM AI Courses Online

    Explore IBM AI for artificial intelligence applications. Learn to use IBM's AI tools and platforms for machine learning and data analysis.

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    Explore the IBM AI Course Catalog

    • I

      IBM

      IBM Program Manager

      Skills you'll gain: User Story, Program Management, Stakeholder Management, Resource Allocation, Stakeholder Engagement, Agile Software Development, Agile Methodology, Kanban Principles, Project Management Life Cycle, Backlogs, Change Management, Project Management Office (PMO), Sprint Retrospectives, Agile Project Management, Organizational Strategy, Risk Management, Resource Management, Governance, Project Management, Generative AI Agents

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM iOS and Android Mobile App Developer

      Skills you'll gain: React Native, Software Development Life Cycle, iOS Development, Flutter (Software), Swift Programming, Apple Xcode, Mobile Development, Android Studio, User Centered Design, Android Development, Apple iOS, React Redux, Git (Version Control System), GitHub, Mobile Development Tools, React.js, Android (Operating System), HTML and CSS, AI Personalization, Large Language Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Risk Modeling, Treatment Planning, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Patient Treatment, Image Analysis, Machine Learning Methods, Applied Machine Learning, AI Personalization, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • I

      IBM

      Generative AI for Human Resources (HR) Professionals

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, HR Tech, Human Resources Software, Human Resources Management and Planning, OpenAI, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Employee Engagement, Image Analysis, Content Creation, Recruitment, Performance Appraisal, Employee Onboarding

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • V

      Vanderbilt University

      Generative AI Leadership & Strategy

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Succession Planning, Productivity, Business Writing, Generative AI, Leadership, Meeting Facilitation, Organizational Leadership, Artificial Intelligence, Large Language Modeling, Business Leadership, Proposal Writing, Communication, Risk Management Framework, Creative Thinking, Human Resource Strategy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • I

      IBM

      IBM Data Analyst Capstone Project

      Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Cleansing, IBM Cognos Analytics, Data Manipulation, Data Collection, Data Presentation, Data Analysis, Web Scraping, Data Storytelling, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      IBM Product Owner

      Skills you'll gain: User Story, Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Stakeholder Communications, Agile Methodology, Kanban Principles, Product Roadmaps, Virtual Teams, Stakeholder Management, Information Technology, Agile Project Management, Computer Hardware, Product Strategy, Product Planning, Product Management, Cloud Computing, Communication, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      IBM Data Management

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Governance, Data Security, Data Migration, Database Design, Data Literacy, Descriptive Statistics, Extract, Transform, Load, Data Mining, Cloud Storage, Data Visualization Software, Data Store, IBM DB2, Data Management, Relational Databases, MySQL, Excel Formulas

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      Intel

      Intel® AI Fundamentals

      Skills you'll gain: Artificial Intelligence, Business Technologies, Complex Problem Solving, Digital Transformation, Technology Strategies, Artificial Intelligence and Machine Learning (AI/ML), Business Intelligence, Strategic Thinking, Real Time Data, Solution Sales Engineering, Technology Solutions, Generative AI, Emerging Technologies, Automation, Customer Success Management, Deep Learning, Machine Learning, Hardware Architecture, Computer Hardware, Data Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      69 reviews

      Beginner · Specialization · 1 - 4 Weeks

    • D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Data Processing, Personally Identifiable Information

      4.7
      Rating, 4.7 out of 5 stars
      ·
      779 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI for Good

      Skills you'll gain: Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Image Analysis, Data Ethics, Statistical Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Text Mining, Environmental Monitoring, Natural Language Processing, Unstructured Data, Deep Learning, Data Processing, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      459 reviews

      Beginner · Specialization · 1 - 3 Months

    • I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Computer Programming Tools, Automation, Data Analysis Software, Data Collection, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112K reviews

      Beginner · Specialization · 3 - 6 Months

    IBM AI learners also search

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    1…789…191

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

    • IBM Program Manager: IBM
    • IBM iOS and Android Mobile App Developer: IBM
    • AI for Medicine: DeepLearning.AI
    • Generative AI for Human Resources (HR) Professionals: IBM
    • Generative AI Leadership & Strategy: Vanderbilt University
    • IBM Data Analyst Capstone Project: IBM
    • IBM Product Owner: IBM
    • IBM Data Management: IBM
    • Intel® AI Fundamentals: Intel
    • AI Product Management: Duke University

    Frequently Asked Questions about Ibm Ai

    IBM AI refers to artificial intelligence technologies developed by IBM. IBM has been at the forefront of AI research and development for many years and has created various AI-powered solutions and tools. These solutions use machine learning, deep learning, natural language processing, and other AI techniques to analyze and interpret data, make predictions, automate processes, and assist in decision-making. IBM Ai is used in various industries, including healthcare, finance, retail, and manufacturing, to enhance operational efficiency, improve customer experiences, drive innovation, and solve complex problems.‎

    To excel in IBM AI, you should focus on the following skills:

    1. Artificial Intelligence (AI): Gain a comprehensive understanding of AI concepts, including machine learning, deep learning, natural language processing, and computer vision.

    2. Data Science: Acquire skills in data analysis, statistical modeling, and data visualization. Familiarize yourself with tools like Python, R, SQL, and Apache Spark for data manipulation and predictive modeling.

    3. Machine Learning: Develop expertise in building and implementing machine learning algorithms for tasks such as classification, regression, and clustering. Gain hands-on experience with popular ML frameworks like TensorFlow or PyTorch.

    4. Programming: Master a programming language like Python or Java to effectively work with IBM Ai technologies and frameworks. Learn programming constructs, data structures, and algorithms to write efficient and scalable code.

    5. Cloud Computing: Familiarize yourself with IBM Cloud and its AI services like Watson AI, Watson Machine Learning, and IBM Watson Studio. Gain knowledge of deploying and managing AI models on cloud platforms.

    6. Natural Language Processing (NLP): Understand how to process and analyze natural language using techniques like sentiment analysis, text classification, and named entity recognition. Learn NLP libraries and frameworks like NLTK, SpaCy, or IBM Watson Natural Language Understanding.

    7. Big Data Technologies: Acquaint yourself with tools like Apache Hadoop and Apache Spark for managing and analyzing large-scale datasets. Learn about distributed computing and parallel processing for efficient data processing.

    8. Cognitive Computing: Study the principles behind cognitive computing systems and how they mimic human cognition. Gain knowledge of IBM Watson technologies and explore their various cognitive services.

    9. Problem-Solving: Enhance your problem-solving capabilities by practicing real-world AI problems and challenges. Understand how to approach complex problems, break them down, and apply AI techniques to find effective solutions.

    10. Communication and Collaboration: Develop strong communication skills to effectively convey AI solutions and collaborate with cross-functional teams. Learn to present complex AI concepts in a simplified manner to non-technical stakeholders.

    Remember, constantly staying updated with the latest advancements in AI and regularly practicing your skills through projects and real-world applications will further enhance your expertise in IBM AI.‎

    With IBM AI skills, you can pursue various job opportunities in the field of artificial intelligence. Some of the potential roles you can consider are:

    1. AI Engineer/Developer: As an AI engineer, you would be responsible for designing, developing, and implementing AI models and algorithms using IBM AI technologies. You would collaborate with software engineers and data scientists to create AI applications.

    2. Machine Learning Engineer: With IBM AI skills, you can work as a machine learning engineer to develop and deploy machine learning models using IBM Watson and other AI frameworks. You would train models, optimize algorithms, and work on data preprocessing tasks.

    3. Data Scientist: IBM AI skills can also enable you to work as a data scientist, leveraging AI technologies to analyze large datasets, extract insights, and drive data-driven decision-making. You would use IBM AI tools for data exploration, visualization, and predictive modeling.

    4. AI Researcher: With IBM AI skills, you can contribute to the academic or industrial research on artificial intelligence. Working as an AI researcher, you would explore new AI algorithms, models, and techniques, and push the boundaries of AI technologies.

    5. AI Consultant: As an AI consultant, you can provide guidance and expertise to businesses or organizations looking to adopt AI solutions. With IBM AI skills, you would assess their requirements, design AI strategies, and help implement AI applications using IBM tools and platforms.

    6. AI Product Manager: IBM AI skills can also lead you to a role as an AI product manager. In this position, you would be responsible for identifying market opportunities, evaluating customer needs, and managing the development and launch of AI-powered products and solutions.

    These are just a few examples of the diverse career paths you can pursue with IBM AI skills. The field of AI is rapidly growing, and acquiring these skills can open doors to numerous exciting job opportunities.‎

    People who are interested in artificial intelligence, have a strong background in computer science or related fields, and are willing to learn and adapt to new technologies. Additionally, individuals who have a passion for problem-solving, critical thinking, and data analysis would be well-suited for studying IBM AI.‎

    Here are some topics that you can study related to IBM AI:

    1. Artificial Intelligence: Start by understanding the basics of artificial intelligence, its history, and its various applications.

    2. Machine Learning: Dive deeper into machine learning algorithms, which are the backbone of AI technologies. Learn about supervised and unsupervised learning, decision trees, neural networks, and more.

    3. Deep Learning: Explore the field of deep learning, a subset of machine learning that focuses on neural networks with multiple layers. Discover how deep learning algorithms power technologies like image recognition, natural language processing, and speech recognition.

    4. Natural Language Processing (NLP): Understand how AI enables computers to understand, interpret, and respond to human language. Study topics such as sentiment analysis, language generation, text mining, and chatbots.

    5. Computer Vision: Learn about computer vision, which involves training computers to interpret and understand visual data. Delve into topics like image classification, object detection, image segmentation, and image generation.

    6. Data Science: Gain expertise in data science, a vital skill when working with AI technologies. Learn about data preprocessing, feature engineering, statistical analysis, and data visualization.

    7. IBM Watson: Explore IBM Watson, a comprehensive suite of AI tools and services. Study how Watson's various components, like Watson Assistant or Watson Discovery, can be utilized in different domains such as healthcare, finance, or customer service.

    8. AI Ethics: Understand the ethical implications and considerations surrounding the development and deployment of AI technologies. Study topics like bias, transparency, privacy, and the responsible use of AI.

    Remember, these are just a few of the many topics you can study related to IBM AI. Depending on your interests and goals, there may be even more specific areas to explore within the broad field of artificial intelligence.‎

    Online IBM Ai courses offer a convenient and flexible way to enhance your knowledge or learn new IBM Ai refers to artificial intelligence technologies developed by IBM. IBM has been at the forefront of AI research and development for many years and has created various AI-powered solutions and tools. These solutions use machine learning, deep learning, natural language processing, and other AI techniques to analyze and interpret data, make predictions, automate processes, and assist in decision-making. IBM Ai is used in various industries, including healthcare, finance, retail, and manufacturing, to enhance operational efficiency, improve customer experiences, drive innovation, and solve complex problems. skills. Choose from a wide range of IBM Ai courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in IBM AI, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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