GenAI+: Advanced

Live Online (VILT) & Classroom Corporate Training Course

Generative AI

Master the art of creating AI models for creative outputs with the Generative AI course. Learn about generative models like GANs and VAEs, explore applications in image synthesis, text generation, and music composition, and unleash your creativity with generative AI.

How can we help you?

Thanks for sharing your details. Our team will get in touch with you soon.
There was an error trying to send your message. Please try again later.

  • CloudLabs

  • Projects

  • Assignments

  • 24x7 Support

  • Lifetime Access

GenAI+: Advanced


The “Advanced Program in Generative AI” builds on the foundational knowledge from the introductory course, delving deeper into generative models like GANs and VAEs. Participants will explore advanced architectures, applications such as multimodal generation and sentiment analysis, and gain hands-on experience with complex coding and implementation


At the end of GenAI+: Advanced course, participants will be able to

  • Master advanced GAN architectures and their applications.

  • Dive into sentiment analysis using generative AI.

  • Explore multimodal generation techniques.

  • Gain proficiency in coding and implementing complex generative AI models.

  • Apply advanced generative AI techniques to real-world projects.


  • Successful completion of the “Generative AI” course.
  • Solid understanding of machine learning concepts and algorithms.
  • Proficiency in programming languages such as Python.
  • Experience with deep learning frameworks like TensorFlow or PyTorch.

Course Outline

Module 1: Advanced Machine Learning Techniques2023-11-21T18:31:07+05:30
  • Overview of Unsupervised Learning
  • Clustering Techniques: K-Means and Hierarchical Clustering
  • Decision Trees and Random Forests
  • Ensemble Learning: Bagging and Boosting
Module 2: Advanced Deep Learning with TensorFlow and Keras2023-11-21T18:31:53+05:30
  • Recap of Deep Learning Basics
  • TensorFlow and Keras: Advanced Syntax
  • Optimization Techniques in TensorFlow
  • Building and Tuning Artificial Neural Networks (ANN)
Module 3: Advanced Generative Adversarial Networks (GANs)2023-11-21T18:32:26+05:30
  • In-depth Understanding of GANs
  • Advanced GAN Architectures
  • Implementing Wasserstein Loss and Gradient Penalty
  • Applications of Generative AI in Creative Industries
Module 4: Multimodal Generation and Sentiment Analysis2023-11-21T18:33:01+05:30
  • Generating Images from Text using Advanced Architectures
  • Multimodal Generation Techniques
  • Sentiment Analysis: Concepts and Applications
  • Hands-on Sentiment Analysis with Real-world Data
Module 5: Advanced Chatbot Development2023-11-21T18:33:38+05:30
  • Introduction to Chatbots and their Types
  • Google Dialogflow: Setup and Configuration
  • Building Dialogflow Agents with Advanced Features
  • Nuance in Chatbot Development: Intents, Entities, and Dialogs
Module 6: Course Conclusion and Q&A2023-11-21T18:34:14+05:30
  • Recap of Key Learnings
  • Recommended References and Further Learning
  • Next Steps in Generative AI Mastery
  • Final Q&A Session

Go to Top