Masterclass Generative Ai For Research And Development

Learn Generative AI for Research and Development and learn Prototype creation, optimization and Problem-solving!

What you'll learn

Master Generative AI for Research and Development

Understand Generative AI Principles

Learn Generative AI Best Practices for Research and Development

Understand the concepts for Generative Models

Requirements

You need to have basics understanding of Project Management Knowledge.

Description

This course covers many topics in Generative AI for Research and Development. Generative AI is a branch of artificial intelligence that focuses on creating new content, including text, images, music, and even code, by learning patterns from existing data. Unlike traditional AI models that primarily analyze and classify data, generative AI can produce human-like outputs, making it a powerful tool for automation, creativity, and problem-solving. With advancements in deep learning and neural networks, generative AI has revolutionized industries such as entertainment, marketing, healthcare, and software development.You will learn how to create prototype creation with Generative AI. generative AI plays a crucial role in software development. AI-powered coding assistants, such as GitHub Copilot, help developers write and optimize code by suggesting relevant functions and debugging errors. In healthcare, generative AI is being used to develop synthetic medical data for research, generate personalized treatment plans, and even assist in drug discovery by predicting molecular structures. Generative AI is a transformative force reshaping industries and redefining human creativity. While it offers immense potential for innovation and efficiency, it also demands careful oversight to mitigate ethical risks. As technology evolves, generative AI will continue to expand its influence, revolutionizing how we create, communicate, and interact with digital content.

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Basics of Generative AI

Lecture 2 What is Generative AI

Lecture 3 Generative AI Models

Lecture 4 Generative Model VS Discriminative Model

Section 3: Generative AI Pipeline

Lecture 5 What is LLM in Generative AI

Lecture 6 Generative AI Pipeline

Lecture 7 NLP Pipeline in Generative AI

Section 4: Data Augmentation in Generative AI

Lecture 8 Data Augumentation in Generative AI

Lecture 9 Tokenization with Lemmatization

Section 5: Deployment in Generative AI

Lecture 10 Deployment in Generative AI

Lecture 11 Feature Extraction in Generative AI

Project Management Professionals,Software Professionals