Generative AI: Theory, Labs & Pedagogy infyni Kids

Generative AI Theory & Online Labs Detailed Pedagogy

Generative AI theory encompasses a wide range of concepts and techniques, Teaching generative AI theory requires a structured approach that gradually introduces students to the foundational concepts and techniques, leading them towards understanding more advanced models.

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Enrolled: 0

Duration: 34 Hours

Offered by: Chakra Dialogues Foundation

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About Course

This course on Generative AI Theory & Online Labs is designed to provide students with a comprehensive understanding of generative models in artificial intelligence and hands-on experience through online labs. The course combines theoretical concepts with practical applications to equip students with the skills necessary to develop and implement generative AI solutions.

  1. Understand the Foundations of Generative AI: Grasp the theoretical underpinnings of generative models, including probabilistic reasoning, neural networks, and statistical learning.
  2. Explore Various Generative Models: Learn about different types of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and autoregressive models.
  3. Implement Generative Models: Gain practical experience in implementing generative models using popular machine learning frameworks.
  4. Analyze and Evaluate Generative Models: Develop skills to critically evaluate the performance and limitations of generative models.
  5. Apply Generative AI to Real-World Problems: Learn to apply generative models to solve real-world problems in various domains such as image generation, text generation, and more.

Skills You Will Gain

Foundations of Machine Learning; Probability and Statistics; Introduction to Generative Models; Classic Generative Models; Generative Adversarial Networks

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)
1 Module 1
  • Introduction to Generative AI and TensorFlow Basics
  • Understanding Generative AI: Overview and Applications
  • Basics of Python for Machine Learning
  • Tensor operations and flow in TensorFlow
  • Building simple neural networks with TensorFlow 2.0
  • Fundamentals of Generative Models
  • Overview of Generative Models (GANs, VAEs, etc.)
  • Probability and Statistics for Generative Models
  • Loss functions and optimization in generative models
  • Training dynamics and convergence in generative models
  • Implementing a Simple Generative Model,Training a GAN,Building a VAE (Lab) 2 Hr
  • Advanced Techniques in Generative AI Setting Up
  • StyleGAN and StyleGAN2
  • Progressive Growing GANs
  • Transfer learning with pre-trained models
  • Hyperparameter tuning for generative models
  • Environment,Implementing StyleGAN and
  • StyleGAN2,Exploring Progressive Growing GANs (Lab) 3 Hr
  • Text-to-Image Generation
  • Introduction to text-to-image generation
  • Implementing text-to-image models using GANs
  • Handling textual data with Natural Language Processing (NLP)
  • Applications of text-to-image generation
  • Setting Up Environment, Introduction to Text-to-Image Generation,Handling Textual Data with NLP (Lab) 3 Hr
  • Sequence Generation with Recurrent Neural Networks (RNNs)
  • Understanding sequence generation tasks
  • Introduction to Recurrent Neural Networks (RNNs)
  • Implementing sequence generation models with TensorFlow 2.0
  • Applications in music, language, and beyond
  • Setting Up Environment,Understanding Sequence
  • Generation
  • Tasks,Introduction to Recurrent Neural Networks (RNNs),Implementing Sequence Generation Models with TensorFlow 2.0 (Lab) 3 Hr
  • Reinforcement Learning for Generative AI
  • Overview of reinforcement learning
  • Generative models and reinforcement learning
  • Implementing reinforcement learning in TensorFlow 2.0
  • Applications of reinforcement learning in generative AI
  • Setting Up Environment,Generative Models and Reinforcement Learning,Overview of Reinforcement Learning (Lab) 3 Hr
  • Introduction to Entrepreneurship
  • Welcome and Icebreaker
  • Definition and Importance
  • Entrepreneurial Mindset
  • Idea Generation and Validation
  • Brainstorming Techniques
  • Customer Discovery
  • Market Research
  • Business Model Canvas
  • Overview of Business Model Canvas (BMC)
  • Group Activity
  • Presentation
  • Funding and Pitching
  • Types of Funding
  • Pitching Essentials
  • Pitch Practice

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Chakra Dialogues Foundation
About Chakra Dialogues Foundation

Chakra Dialogues Foundation, a premier think tank, developing an ecosystem to train and deploy a Globally Competent Skilled Workforce, with strong Professional Ethics with high Employability Potential to fulfil National and Global Demands. Our vision is to seek and become India’s premier institution, engaged in Strengthening India’s Comprehensive National Power (CNP) to make India a globally influential nation.

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