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Generative AI in Software Development Training Course

Discover How Generative AI Strengthens Industrial Sectors with NovelVista: The Top-Rated Training Provider for More Than 1,000 Global Companies.

  • Industry Expert Trainers
  • Online learning session
  • Accredited Trainer
  • Exam fee included
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7000+ Professionals Enrolled

Generative AI in Software Development Training Program Overview

One technique that has created a great deal of interest and creativity in the constantly changing world of software development is generative AI. First and foremost, programmers must have a strong foundation in programming in order to effectively integrate and deploy AI models into their software systems. It is equally crucial to comprehend the principles of artificial intelligence, machine learning, and deep learning.

To excel in Software Development, our Generative AI in Software Development Certification Course is a great program for you. Our program is designed in a manner that will help you to get a master's in the latest Gen AI techniques. It will allow you to create intelligent software systems, automate complex tasks and drive innovation in different industries.

As AI plays a pivotal role in today’s technical landscape, our certification will help you to excel in your scale in the latest trends of software development. In this rapidly evolving field, it will help you to open doors to exciting career opportunities and support you to make a meaningful impact in our AI-driven world


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What You Will Get?

Blended Digital Learning curated by SMEs

Every Friday Live Mentor Session (7PM to 9PM IST)

Global Certification Exam with 2 Attempts

Downloadable Resources: Case studies, templates, and the BOK

Capstone project

AI-based Interview Practice Exam

ITIL Certification Path

Learning Outcome

After the completion of the course, the participants would be able to:

Learn generative AI to innovate software.
Use AI to automate difficult jobs.
Effectively develop intelligent software systems.
Maintain your edge in the IT sector.
Encourage creativity in a variety of businesses.
Utilize AI to solve real-world issues.
Improve your job with AI knowledge.
Effectively implement AI-driven solutions.

Course Curriculum

Here are the Modules:

Module 1: Introduction to Generative AI:+

  • Exploring the Fundamentals of Generative AI
  • Significance in Software Development
  • A Historical Perspective
  • Key Terminology and Concepts

Module 2: Probability and Information Theory:+

  • Delving into Probability Distributions
  • Grasping the Essentials of Information Theory
  • Measuring Entropy and Cross-Entropy
  • Understanding Kullback-Leibler Divergence

Module 3: Generative Models:+

Blockchain is unique in a number of ways.

  • Unpacking Generative Model Basics
  • Navigating the World of Autoencoders
  • Diving into Variational Autoencoders (VAEs)
  • Exploring Generative Adversarial Networks (GANs)

Module 4: Deep Learning Essentials+

  • Core Concepts in Neural Networks and Backpropagation
  • The Role of Activation Functions
  • Differentiating Loss Functions
  • Strategies for Regularization

Module 5: Training Generative Models:+

  • The Art of Data Preprocessing
  • Designing an Effective Training Loop
  • Specialized Loss Functions for Generative Models
  • Evaluating the Performance of Generative Models

Module 6: Variational Autoencoders (VAEs):+

  • Unveiling VAE Architecture
  • Grasping the Variational Inference Framework
  • Hands-On VAE Implementation
  • Realizing VAE Applications in Software Development

Module 7: Generative Adversarial Networks (GANs):+

  • Exploring the Inner Workings of GAN Architecture
  • Mastering the Training Process for GANs
  • Harnessing the Power of Conditional GANs
  • Utilizing GANs for Software Development Applications

Module 8: Sequence Generation Models:+

  • Introducing Sequence Models
  • Navigating Recurrent Neural Networks (RNNs)
  • Unlocking Long Short-Term Memory (LSTM) Networks
  • Examining Gated Recurrent Units (GRUs)

Module 9: Transformer Models:+

  • Deep Dive into the Transformer Architecture
  • Embracing the Attention Mechanism
  • Unleashing BERT and Its Variants
  • Applying Transformers in Software Development Scenarios

Module 10: Ethical Considerations:+

  • Addressing Bias and Fairness in Generative AI
  • Tackling Privacy Concerns
  • Frameworks for Ethical AI
  • Guidelines for Ethical AI Development