Applications of Generative AI

The Applications of Generative AI course is a comprehensive 40-hour program designed to provide students with a deep understanding of the principles and applications of generative AI. This course focuses on the exploration and practical implementation of generative models and their applications in various domains. Through hands-on exercises and real-world examples, students will gain practical experience in using generative AI techniques to generate new content, enhance existing data, and solve complex problems. By completing this course, students will be equipped with the knowledge and skills to apply generative AI methods in their respective fields. 

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Course Date

1st December 2023

Duration

40 hrs.

Delivery Format

Online Live

Why to Join This Course

Earn a program completion certificate from the prestigious E&ICT Academy, IIT Kanpur.
Utilize Ikigai’s Job Assist feature to enhance your visibility to leading hiring companies.
Attend masterclasses conducted by renowned faculty members from IIT Kanpur.
Engage in hands-on projects tailored to different industry sectors.

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Ready to embark on a transformative learning journey? Don’t miss this opportunity to gain valuable skills and elevate your career. Enroll in our comprehensive course today and join a community of learners dedicated to excellence. Take the first step towards unlocking your full potential!

Course Price

₹19,900.00

Key Features

Earn a program completion certificate.
Utilize Ikigai’s Job Assist feature to enhance your visibility to leading hiring companies.
Attend masterclasses conducted by renowned faculty members from IIT Kanpur.
Top-notch curriculum with integrated labs
Engage in hands-on projects tailored to different industry sectors.
Explore and apply practical tools and frameworks that can significantly enhance your work.
Enjoy smooth access to integrated labs for a seamless learning experience
Conclude the program with capstone projects spanning three distinct domains

Curriculum for Applications of Generative AI

Module 1: Introduction to Generative AI (10 hours) 

  • Fundamentals of generative AI 
  • Overview of generative models (GANs, VAEs, etc.) 
  • Understanding latent space and sampling 
  • Evaluation metrics for generative models 
  • Ethical considerations in generative AI 
  • Hands-on project: Implementing a basic GAN for image generation. 

Module 2: Image Generation and Synthesis (10 hours) 

  • Image generation with GANs 
  • Conditional GANs for controlled image synthesis 
  • Image-to-image translation using generative models 
  • Super-resolution and style transfer with generative AI 
  • Case studies: Generating realistic faces, landscapes, and art 
  • Hands-on project: Creating an image-to-image translation model. 

Module 3: Natural Language Processing and Text Generation (10 hours) 

  • Language modeling with RNNs and LSTMs 
  • Text generation with generative models 
  • Conditional text generation and story generation 
  • Text-to-Speech synthesis with generative models 
  • Applications in automated chatbots and content generation 
  • Hands-on project: Building a text generation model. 

Module 4: Creative Applications of Generative AI (10 hours) 

  • Music generation using generative models 
  • Video synthesis and manipulation 
  • 3D object generation and design 
  • Interactive and adaptive user interfaces 
  • Case studies: Applications in art, design, and entertainment 
  • Hands-on project: Implementing a generative AI application in a creative domain. 

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Eligibility Criteria

For admission to this Professional Certificate course in Applications of Generative AI Course, candidates should have: 

  • Basic Programming Knowledge 
  • Database Fundamentals 
  • Data Analytics Basics 
  • Mathematics and Statistics (recommended but not mandatory) 
  • Data Analysis Tools (e.g., Pandas, NumPy, SQL) (recommended but not mandatory) 

 

Course Outcomes

Upon completion of this course, students will be able to: 

  • Understand the fundamental concepts and techniques of generative AI. 
  • Apply generative models to generate new content and enhance existing data. 
  • Utilize generative AI techniques to solve complex problems in different domains. 
  • Evaluate and compare different generative models and their applications. 
  • Apply ethical considerations in the use of generative AI. 

FAQ for Applications of Generative AI Course

For admission to this Applications of Generative AI Course, candidates should have: 

  • A bachelor’s degree with an average of 50 percent or higher marks 
  • Prior work experience is not mandatory 
  • Can be from a programming or non-programming background 

The admission process for this Applications of Generative AI Course consists of three simple steps: 

  •  All interested candidates are required to apply through the online application form 
  • An admission panel will shortlist the candidates based on their application 
  • An offer of admission will be made to the selected candidates, which can then be accepted by the candidate by paying the program fee. 

As a part of this Applications of Generative AI Course, you will receive the following: 

  •  Masterclasses delivered by distinguished IIT Kanpur faculty 
  • Program completion certificate from E&ICT Academy, IIT Kanpur 
  • Ikigai Career Assistance post-completion of this program 

Upon successful completion of this Applications of Generative AI Course, you will be awarded a certificate of completion by E&ICT Academy, IIT Kanpur, and industry-recognized certification from Ikigai for courses in the learning path.

This Data Science Course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device. 

We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after the completion of your Deep Learning and Generative AI course. 

Contact us using the form on the right side of any page on the Ikigai website, select the Live Chat link, or contact Help & Support. 

Admission Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.
1

Submit Application 

Tell us a bit about yourself and why you want to do this program 

2

Application Review 

An admission panel will shortlist candidates based on their application 

3

Enrolment

Selected candidates can join the program by paying the admission fee 

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