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    • Generative Ai

    Generative AI Courses Online

    Explore generative AI for creating new content. Learn about GANs, creative applications, and AI-generated media.

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    Explore the GenAI Course Catalog

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Build a Recommendation System

      Skills you'll gain: Software Design, Software Design Patterns, Java, AI Personalization, Object Oriented Programming (OOP), Data Processing, Data Wrangling, Data Analysis, Data Structures, Algorithms, Hypertext Markup Language (HTML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      644 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, Python Programming, Classification And Regression Tree (CART), Data Science, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Mathematical Modeling

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      114 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI and Public Health

      Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      225 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Big Data, Artificial Intelligence, and Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Research Methodologies, Social Sciences, Machine Learning, Data Mining, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      609 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to NoSQL Databases

      Skills you'll gain: NoSQL, MongoDB, Databases, Apache Cassandra, Distributed Computing, Database Management, Database Architecture and Administration, IBM Cloud, Query Languages, Data Modeling, JSON, Scalability, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      350 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Geneva

      Simulation and modeling of natural processes

      Skills you'll gain: Simulations, Python Programming, Differential Equations, Numerical Analysis, Mathematical Modeling, Probability, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking, Visualization (Computer Graphics), Mechanics, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      398 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Large Language Model Operations (LLMOps)

      Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, AWS SageMaker, Performance Tuning, Scalability, Dataflow, Data Transformation, Data Infrastructure, Microsoft Azure, MLOps (Machine Learning Operations), Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      180 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Introduction to Generative AI Studio - 简体中文

      Skills you'll gain: Prompt Engineering, Generative AI, Application Lifecycle Management, Prototyping, MLOps (Machine Learning Operations), Google Cloud Platform, Large Language Modeling, Artificial Intelligence, Application Development

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Business Analysis

      Skills you'll gain: Requirements Elicitation, Business Analysis, Process Analysis, Requirements Analysis, Digital Transformation, Business Process, Gap Analysis, Business Requirements, Business Transformation, Systems Analysis, Stakeholder Engagement, Data-Driven Decision-Making, Stakeholder Communications, Project Management, Change Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      208 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Team Software Engineering with AI

      Skills you'll gain: Software Documentation, Collaborative Software, Software Testing, Technical Documentation, Large Language Modeling, Dependency Analysis, Software Development Tools, Security Testing, Debugging, Maintainability, Software Engineering, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      118 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      294 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IIMA - IIM Ahmedabad

      Advanced Digital Transformation

      Skills you'll gain: Digital Transformation, Business Transformation, Stakeholder Engagement, Innovation, Organizational Change, Change Management, Business Modeling, Technology Strategies, Organizational Strategy, Artificial Intelligence, Enterprise Architecture, Organizational Effectiveness, Performance Improvement, Cloud Computing Architecture, Governance, Business Technologies, Emerging Technologies, Operational Excellence, Workforce Development, Business Leadership

      4.7
      Rating, 4.7 out of 5 stars
      ·
      137 reviews

      Beginner · Specialization · 3 - 6 Months

    Generative AI learners also search

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

    • Java Programming: Build a Recommendation System: Duke University
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • AI and Public Health: DeepLearning.AI
    • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
    • Introduction to NoSQL Databases: IBM
    • Simulation and modeling of natural processes: University of Geneva
    • Large Language Model Operations (LLMOps): Duke University
    • Introduction to Generative AI Studio - 简体中文: Google Cloud
    • Introduction to Business Analysis: IBM
    • Team Software Engineering with AI: DeepLearning.AI

    Frequently Asked Questions about Generative Ai

    Understanding why you want to learn generative AI, whether for research, creative projects, or enhancing AI skills, will guide your efforts. Regular practice with AI models and relevant data is essential. Join AI communities like GitHub or Reddit’s r/MachineLearning for resources and support. Work on real projects like building generative models or experimenting with neural networks. Coursera’s Generative AI Fundamentals Specialization by IBM is an excellent series of courses to start with.‎

    Generative AI courses on Coursera provide learners with the skills to engage with one of the most innovative areas of artificial intelligence:

    • Understanding the principles behind generative models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
    • Techniques for creating synthetic data, artworks, and realistic simulations.
    • Application of generative AI in various domains such as music, video, and text.
    • Programming skills to develop generative models using TensorFlow and PyTorch.
    • Ethical considerations in deploying generative AI technologies.
    • Best practices for training and optimizing generative models to ensure quality and efficiency.‎

    Generative AI courses on Coursera are structured to accommodate learners with different levels of expertise:

    • Beginners can start with introductory courses that cover basic AI concepts and foundational machine learning knowledge.
    • Intermediate learners can improve their understanding of deep learning and start working with generative models.
    • Advanced participants can explore cutting-edge applications and techniques in generative AI.‎

    Upon completing Generative AI courses on Coursera, learners can obtain credentials that may assist in their professional and academic pursuits:

    • Professional certificates that signify a foundational understanding and practical skills in generative AI.
    • Specializations that focus on specific aspects of generative AI, such as neural networks or creative applications.
    • Certificates that can be showcased to employers and academic institutions as evidence of specialized knowledge in a rapidly advancing field.‎

    Skills in Generative AI open the door to a range of cutting-edge career opportunities:

    • AI Research Scientist, developing new methods and technologies in generative AI.
    • Creative Technologist, integrating AI into digital art, marketing, and entertainment.
    • Machine Learning Engineer, specializing in building and training generative models.
    • Product Developer, using generative AI to innovate product designs and features.
    • Data Scientist, employing generative models for data augmentation and complex analyses.‎

    Yes, Coursera offers a variety of free courses across many topics, including generative AI. 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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