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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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    Get in-depth knowledge of a subject by completing a series of courses and projects.
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    Explore the GenAI Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Generative AI - Deutsch

      Skills you'll gain: Generative AI, Application Development, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      AI for Course Design

      Skills you'll gain: Generative AI, Artificial Intelligence, Education Software and Technology, Data Ethics, Prompt Engineering, Large Language Modeling, ChatGPT, Emerging Technologies

      4
      Rating, 4 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Generative AI - 한국어

      Skills you'll gain: Generative AI, Application Development, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Generative AI Studio - Italiano

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Prototyping, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Enhancing Customer Insights with Generative AI

      Skills you'll gain: Big Data, Generative AI, Customer Insights, Data Processing, Market Research, Data Science, Market Analysis, Marketing Analytics, Data-Driven Decision-Making, Consumer Behaviour, Predictive Analytics, Business Strategy

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Probabilistic Models

      Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Adobe

      Design Fundamentals with AI

      Skills you'll gain: Color Theory, Typography, Design, Graphic and Visual Design Software, Graphic and Visual Design, Design Elements And Principles, Web Content Accessibility Guidelines, Logo Design, Content Creation, Adobe Creative Cloud, Innovation, User Experience Design, Creativity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      680 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Deep Teaching Solutions

      Accelerate Your Learning with ChatGPT

      Skills you'll gain: Prompt Engineering, Creative Thinking, ChatGPT, Learning Strategies, Cognitive flexibility, Curiosity, Critical Thinking, Lifelong Learning, Generative AI, Image Analysis, Artificial Intelligence, Constructive Feedback, Artificial Neural Networks, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      490 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Applied Generative AI & NLP with Python

      Skills you'll gain: Prompt Engineering, Natural Language Processing, Generative AI, Large Language Modeling, OpenAI, Text Mining, Artificial Intelligence, Python Programming, Feature Engineering, Data Processing, Deep Learning, Databases, Applied Machine Learning

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      N
      G
      N
      G

      Multiple educators

      Machine Learning for Trading

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Market Trend, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Financial Market

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Computers and Operating Systems and Security

      Skills you'll gain: Computer Systems, Business Software, Operating Systems, Generative AI, Business Systems, Cybersecurity, Enterprise Security, Servers, Computer Hardware, Information Systems Security, Data Storage, Patch Management, Microsoft 365, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Exploratory Data Analysis for Machine Learning: IBM
    • Introduction to Generative AI - Deutsch: Google Cloud
    • AI for Course Design: University of Colorado Boulder
    • Introduction to Generative AI - 한국어: Google Cloud
    • Introduction to Generative AI Studio - Italiano: Google Cloud
    • Enhancing Customer Insights with Generative AI: Coursera Instructor Network
    • Natural Language Processing with Probabilistic Models: DeepLearning.AI
    • Design Fundamentals with AI: Adobe
    • Accelerate Your Learning with ChatGPT: Deep Teaching Solutions
    • Applied Generative AI & NLP with Python: Packt

    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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