GenAI+: Advanced

Live Online (VILT) & Classroom Corporate Training Course

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.
GenAI

How can we help you?

  • CloudLabs
    CloudLabs
  • Projects
    Projects
  • Assignments
    Assignments
  • 24x7 Support
    24x7 Support
  • Lifetime Access
    Lifetime Access
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Overview

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

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Objectives

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.
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Prerequisites

  • 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.
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Course Outline

  • Overview of Unsupervised Learning
  • Clustering Techniques: K-Means and Hierarchical Clustering
  • Decision Trees and Random Forests
  • Ensemble Learning: Bagging and Boosting

  • Recap of Deep Learning Basics
  • TensorFlow and Keras: Advanced Syntax
  • Optimization Techniques in TensorFlow
  • Building and Tuning Artificial Neural Networks (ANN)

  • In-depth Understanding of GANs
  • Advanced GAN Architectures
  • Implementing Wasserstein Loss and Gradient Penalty
  • Applications of Generative AI in Creative Industries

  • Generating Images from Text using Advanced Architectures
  • Multimodal Generation Techniques
  • Sentiment Analysis: Concepts and Applications
  • Hands-on Sentiment Analysis with Real-world Data

  • 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

  • Recap of Key Learnings
  • Recommended References and Further Learning
  • Next Steps in Generative AI Mastery
  • Final Q&A Session
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Testimonials

Shamsudeen Bawa

Synergific Software Team has been very supportive, and working with them has been a best decision that we could ever made, They are just a call away. You guys are AWESOME, Thank You, Keep up the Good Work!!!

Shamsudeen Bawa

Vice President, J.P Morgan, CIS, USA

Farhan Hafiz

Synergific Software has been of great help and I plan to continue to use your services in the future for my business needs.

Farhan Hafiz

Data Architect, Fiserv

Dr. Sahdev Singh

I think Synergific Software is great. I liked that it was hassle free and easy to set up. Again, it's a great feature for a fast and cheap set up, which gives me peace of mind, as I know have a terms of use agreement.

Dr. Sahdev Singh

Under Secretary, Ministry of Law & Justice, Govt. of India

M Chikanna Swamy

I liked using Synergific Software very much. I thought the website was easy to navigate and the instructions for generating the terms was clear. I even recommended you on a Facebook Group I am a member of.

M Chikanna Swamy

Director & Learning Head, Mindtree