Artificial Intelligence | GenAI | Course | ChatBot | ChatGPT

Description:

Welcome to the Complete Artificial Intelligence Bootcamp with ChatBot and ChatGPT in Python using PyTorch! This course is your one-stop-shop for mastering artificial intelligence, deep learning, and PyTorch. Whether you're a beginner or an experienced professional, this comprehensive bootcamp is designed to elevate your skills and give you a competitive edge in the AI field.

What makes this course unique?

• Exclusive Content: Dive into materials and hands-on projects that are not available anywhere else online.

• Comprehensive Curriculum: Covering everything from the basics of PyTorch to advanced topics like transformer architecture and ChatBot creation.

• Hands-on Projects: Apply your learning with practical, real-world projects designed to reinforce each concept.

• Expert Instruction: Learn from an instructor with extensive experience in AI and deep learning.

• Interactive Quizzes: Test your knowledge with quizzes that challenge your understanding of each section.

Course Overview:

• Section 1: Introduction

  • Get an overview of the course structure and objectives.

• Section 2: Introduction to PyTorch

  • Learn about computational graphs, tensors, and tensor operations.

  • Dive into tensor datatypes, math operations, and shape manipulation.

  • Understand autograd and perform in-place operations.

• Section 3: Loss Functions in Deep Learning

  • Explore various loss functions such as L1, L2, binary cross-entropy, and KL divergence.

• Section 4: Different Activation Functions in Deep Learning

  • Understand the importance of activation functions like ReLU, Leaky ReLU, and PReLU.

• Section 5: Normalization and Regularization

  • Learn about regularization techniques and normalization methods.

• Section 6: Optimization in AI

  • Master optimization techniques including gradient descent and mini-batch SGD.

• Section 7: Building a Neural Network in PyTorch

  • Step-by-step guide to designing, training, and testing a neural network using the MNIST dataset.

• Section 8: Custom PyTorch Dataset and Dataloader

  • Create and utilize custom datasets and dataloaders for efficient data processing.

• Section 9: Building an Image Classification CNN Model

  • Build, train, and visualize a CNN model for handwritten digit classification.

• Section 10: Building a ChatBot using Transformer Architecture

  • Comprehensive guide to understanding and implementing transformer architecture for ChatBot development.

• Section 11: Building a ChatBot using Pre-Trained ChatGPT

  • Comprehensive guide to understanding and fine tuning pre-trained ChatGPT for question and answer (Q&A) purpose.

Why Enroll?

By the end of this course, you will:

• Have a deep understanding of AI and deep learning fundamentals.

• Be proficient in using PyTorch for various machine learning tasks.

• Be able to build and deploy neural networks and transformer models.

• Have the skills to create a functional ChatBot.

This course is perfect for:

• Aspiring data scientists and machine learning engineers.

• Software developers looking to transition into AI roles.

• Professionals seeking to enhance their AI skillset.

• Enthusiasts eager to learn about cutting-edge AI technologies.

Enroll now and gain an unfair advantage in the AI industry with exclusive content and practical experience that sets you apart from the rest!