Artificial Intelligence | GenAI | Course | ChatBot | ChatGPT, Master Artificial Intelligence with hands-on projects. Build your own ChatBot and Finetune your own ChatGPT!!.
Course 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!
