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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

    • A

      Alfaisal University | KLD

      أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI

      Skills you'll gain: Computer Vision, Natural Language Processing, Machine Learning, Big Data, Artificial Intelligence, Supervised Learning, Reinforcement Learning, Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      207 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Data Science for Business Innovation

      Skills you'll gain: Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Mining, Data Analysis, Machine Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART), Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      265 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      GenAI for Execs & Business Leaders: Integration Strategy

      Skills you'll gain: Return On Investment, Data Strategy, Business Leadership, Generative AI, Business Strategy, Scalability, Strategic Leadership, Compliance Management, Data-Driven Decision-Making, Business Ethics, Artificial Intelligence, Human Resources, Finance, Information Technology Operations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      59 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Computer Vision for Engineering and Science

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Data Mapping, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Feature Engineering, Medical Imaging, Machine Learning Algorithms, Data Validation, Geometric Dimensioning And Tolerancing, Performance Testing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Adobe

      Graphic Design

      Skills you'll gain: Adobe Illustrator, Color Theory, Typography, Graphic and Visual Design, Graphic Design, Graphic and Visual Design Software, Adobe Creative Cloud, Design Elements And Principles, Creative Design, Generative AI Agents

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Data Storage and Queries

      Skills you'll gain: Data Storage, Query Languages, Data Lakes, File Systems, Database Systems, SQL, Databases, Database Management Systems, Data Architecture, Cloud Storage, Data Warehousing, Amazon Web Services, Apache Kafka, Amazon S3, Data Pipelines, Graph Theory, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Virginia

      The Economics of AI

      Skills you'll gain: Agentic systems, Economics, Artificial Intelligence, Economic Development, Socioeconomics, Behavioral Economics, Automation, Labor Relations, Emerging Technologies, Market Dynamics, Supply And Demand, Policy Analysis, Innovation, Production Process

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      U

      University of Illinois Urbana-Champaign

      Introduction to Artificial Intelligence

      Skills you'll gain: Generative AI, Applied Machine Learning, Deep Learning, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Artificial Neural Networks, Regression Analysis, Emerging Technologies, Law, Regulation, and Compliance, Business Analytics, Ethical Standards And Conduct, Computer Vision, Governance

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Arizona State University

      AI Foundations: Prompt Engineering with ChatGPT

      Skills you'll gain: Prompt Engineering, ChatGPT, Large Language Modeling, Data Ethics, Generative AI, Ideation, Creativity, Research

      4.1
      Rating, 4.1 out of 5 stars
      ·
      73 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Fake News Detection with Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Matplotlib, Data Cleansing, Data Import/Export, Data Analysis, Natural Language Processing, Data Processing, Data Manipulation, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      259 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • E

      EIT Digital

      Sustainable Digital Innovation

      Skills you'll gain: Corporate Sustainability, Business Transformation, Digital Transformation, Environmental Social And Corporate Governance (ESG), Governance, Innovation, Stakeholder Engagement, Sustainability Reporting, Technology Strategies, Business Management, Business Strategies, Business Strategy, Systems Thinking, Leadership

      4.5
      Rating, 4.5 out of 5 stars
      ·
      193 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Infosec

      Cyber Threat Hunting

      Skills you'll gain: Cyber Threat Hunting, Cyber Threat Intelligence, Threat Detection, Threat Modeling, MITRE ATT&CK Framework, Endpoint Detection and Response, Intrusion Detection and Prevention, Malware Protection, Security Information and Event Management (SIEM), Anomaly Detection, Generative AI, Event Monitoring, System Monitoring, Network Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      115 reviews

      Intermediate · Course · 1 - 3 Months

    Generative AI learners also search

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

    • أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI: Alfaisal University | KLD
    • Data Science for Business Innovation: EIT Digital
    • GenAI for Execs & Business Leaders: Integration Strategy: IBM
    • Computer Vision for Engineering and Science: MathWorks
    • Graphic Design: Adobe
    • Data Storage and Queries: DeepLearning.AI
    • The Economics of AI: University of Virginia
    • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
    • AI Foundations: Prompt Engineering with ChatGPT: Arizona State University
    • Fake News Detection with Machine Learning: Coursera Project Network

    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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