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!