An Introduction to Generative AI Concepts

Generative AI    |    Intermediate
  • 17 videos | 2h 38m 19s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
This comprehensive course delves deep into the fascinating world of Generative AI. Through a combination of engaging lectures and hands-on practice, participants will gain an in-depth understanding of what generative models are, how they differ from other AI techniques, and the theories and principles underlying them. You will discover various types of generative models, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), and explore the process involved in training these models. Then you will examine the strengths, limitations, and practical applications of generative models across various domains, such as image generation, text generation, and data augmentation. Next, you will learn how to evaluate the performance of generative models and focus on ethical considerations in generative AI and the potential societal impact of these technologies. Finally, you will have the opportunity to generate synthetic data using generative models for training and testing purposes and investigate the notion of responsible AI in the generative era. Upon course completion, you will be prepared not just to use these powerful tools, but to use them wisely and ethically.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Define generative ai and its key components
    Differentiate between generative ai and other ai methods, showcasing their unique features and use cases
    Identify the fundamental principles and theories that drive generative ai
    Outline the various tools, technologies, platforms, and communities that comprise the generative ai ecosystem
    Describe generative models like gans (generative adversarial networks) and vaes (variational autoencoders), including their structure and function
    Outline the process involved in training generative models, from data gathering to model deployment
    Provide a critical assessment of the strengths and weaknesses of generative models for various applications
    Evaluate the potential benefits and hurdles of using generative ai across various domains
  • Describe how to use generative models to generate synthetic data for training and testing purposes
    Use generative models to generate synthetic data for training and testing purposes
    Outline the potential biases, ethical considerations, and societal impact when designing and using generative ai
    Provide an overview of the appropriate metrics and methods to evaluate the performance and quality of generative models
    Outline the use cases and practical applications of generative ai across various industries
    Describe how generative ai has the potential to redefine creativity and the possible societal consequences
    Outline the importance of responsible ai practices and guidelines in the era of generative ai
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 18s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 18m 17s
    After completing this video, you will be able to define generative AI and its key components. FREE ACCESS
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    3.  Generative AI vs. Other AI Approaches
    9m 41s
    Upon completion of this video, you will be able to differentiate between generative AI and other AI methods, showcasing their unique features and use cases. FREE ACCESS
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    4.  Fundamental Concepts in Generative AI
    8m 21s
    In this video, we will identify the fundamental principles and theories that drive generative AI. FREE ACCESS
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    5.  The Generative AI Ecosystem
    12m 47s
    After completing this video, you will be able to outline the various tools, technologies, platforms, and communities that comprise the generative AI ecosystem. FREE ACCESS
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    6.  Generative Models: GANs and VAEs
    12m 28s
    Upon completion of this video, you will be able to describe generative models like GANs (generative adversarial networks) and VAEs (variational autoencoders), including their structure and function. FREE ACCESS
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    7.  Workflow of Training Generative Models
    6m 17s
    After completing this video, you will be able to outline the process involved in training generative models, from data gathering to model deployment. FREE ACCESS
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    8.  Strengths and Limitations of Generative Models
    12m 25s
    Upon completion of this video, you will be able to provide a critical assessment of the strengths and weaknesses of generative models for various applications. FREE ACCESS
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    9.  Generative AI: Prospects and Challenges
    11m 55s
    After completing this video, you will be able to evaluate the potential benefits and hurdles of using generative AI across various domains. FREE ACCESS
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    10.  Synthetic Data with Generative AI
    5m
    Upon completion of this video, you will be able to describe how to use generative models to generate synthetic data for training and testing purposes. FREE ACCESS
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    11.  Generating Synthetic Data with Generative AI
    7m 48s
    In this video, you will learn how to use generative models to generate synthetic data for training and testing purposes. FREE ACCESS
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    12.  Ethical Considerations in Generative AI
    8m 40s
    After completing this video, you will be able to outline the potential biases, ethical considerations, and societal impact when designing and using generative AI. FREE ACCESS
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    13.  Generative Model Evaluation
    8m 47s
    Upon completion of this video, you will be able to provide an overview of the appropriate metrics and methods to evaluate the performance and quality of generative models. FREE ACCESS
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    14.  Real-world Applications of Generative AI
    14m 41s
    After completing this video, you will be able to outline the use cases and practical applications of generative AI across various industries. FREE ACCESS
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    15.  The Impact of Generative AI on Society and Creativity
    6m 4s
    Upon completion of this video, you will be able to describe how generative AI has the potential to redefine creativity and the possible societal consequences. FREE ACCESS
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    16.  Responsible AI in the Generative Era
    12m 58s
    After completing this video, you will be able to outline the importance of responsible AI practices and guidelines in the era of generative AI. FREE ACCESS
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    17.  Course Summary
    52s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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