Nlp & Gpt4 Masterclass: RealWorld Projects For Beginners

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NLP, GPT, and LLMs with AI Projects in Content Creation, Chatbots, Sentiment Analysis. Build An Industry-Ready Portfolio

What you'll learn

Install and Learn to Use OpenAI API & GPT-4 with Python

Master NLP fundamentals and advanced transformer models like GPT-4 to power real-world AI solutions.

Use OpenAI API to create interactive chatbots and generate engaging content.

Analyze market sentiment with News API for financial risk assessment

Build a Financial Investment Risk Tool Using Sentiment Analysis

Learn Named Entity Recognition (NER) and build a cutting-edge RAG fact-checker.

Libraries: Hugging Face, NLTK, SpaCy, Keras, Sci-kit Learn, Tensorflow, Pytorch

Deep Learning: Neural Networks, RNN, LSTM Theory & Practical Projects

Cosine-Similarity & Vectors

A Python Guide Chapter For Beginners

No Tedious Anaconda or Jupyter Installs: Use Modern Google Colab Cloud-Based Notebooks for using Python

Linguistics Foundation To Help Learn NLP Concepts

Create An Interactive Storyteller Application With GPT-4, OpenAI API

Requirements

No Tedious Installs

No previous programming knowledge necessary. The lectures slowly explain the python syntax as you code alone with me.

New to Python: you get explanations of the code as you code along with me but not only that - theory slides explain concepts to help you understand what's going on behind the code.

No data science knowledge required: lectures teach how to work with data and key modelling concepts.

No NLP knowledge required. Linguistic concepts are taught to give a strong foundation of NLP even before you get into practical coding. This helps you to grasp NLP modelling techniques and cleaning concepts better.

Description

Master NLP with GPT-4: Practical Projects for BeginnersStep into the exciting world of Natural Language Processing (NLP) with Master NLP with GPT-4! This course is designed for beginners who want to understand and apply the latest AI technologies in real-world scenarios. You will explore hands-on projects, using cutting-edge models like GPT-4, in practical, engaging ways. From creative storytelling to financial analysis, this course covers it all.Badges: You will earn accredited badges for key skills that you can showcase on LinkedIn. What You Will Learn:Understand the fundamentals of NLP, including key concepts like tokenization, embeddings, and attention mechanisms.Gain a deep understanding of transformer models and explore the math behind GPT, including attention, gradient loss, and Markov Models.Learn how to use OpenAI's API in hands-on projects such as a Creative Recipe Generator and a Custom Chatbot for Small Businesses.Master tools like SpaCy for Named Entity Recognition (NER) and explore sentiment analysis using News API to perform financial risk analysis.Develop a Custom Marketing Content Generator using GPT-4 to target specific audiences with engaging messaging.Hands-On Projects:Create an interactive, AI-powered storytelling experience.Build a practical chatbot using data from the Bookstoscrape website.Perform financial risk analysis using sentiment analysis on news articles.Develop a fact-checking tool using Retrieval-Augmented Generation (RAG++).Generate customized marketing content for small businesses.Dive into transformer architecture and concepts like self-attention using creative analogies and projects.Throughout this course, you'll work through practical examples—from setting up Google Colab and learning Python basics to developing advanced AI-driven applications. You'll earn accredited badges for key skills and a completion certificate to boost your portfolio, making you ready to take on real-world challenges in machine learning and NLP.Enroll today to embark on a rewarding journey, add hands-on AI projects to your portfolio, and step confidently into the ever-growing field of NLP and machine learning!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Intro: NLP, Data Science & Machine Learning - Are they different?

Lecture 2 Introducing NLP

Lecture 3 Data Science In The Real World: Part 1

Lecture 4 Data Science In The Real World: Part 2

Lecture 5 NLP In The Real World

Section 3: NLP Pipeline

Lecture 6 An Overview of NLP Methods

Lecture 7 Text Preprocessing

Lecture 8 Text Normalization

Lecture 9 Word Embeddings

Lecture 10 Build a Model, Transfer Learning, Testing & Evaluating a Model

Section 4: Essential Setup for Google Colab: A Step-by-Step Guide (Must-Watch)

Lecture 11 Create and Set Up a New Google Colab Notebook

Lecture 12 Open .IPYNB Files and Locate Course Resources in Google Colab

Lecture 13 Customizing Google Colab Settings: Dark vs. Light Mode and More

Section 5: Learn to Use OpenAI API with GPT-4: A Hands-On Recipe Generator Project

Lecture 14 Install OpenAI & Import Libraries

Lecture 15 Get The OpenAI API Key

Lecture 16 Create A List of Ingredients

Lecture 17 Generate Three Random Ingredients From The List

Lecture 18 Define a Function to Generate Recipes Using GPT-4 and OpenAI API

Lecture 19 Generate and Display a Recipe with GPT-4: Calling the AI Chef Function

Section 6: Interactive Storytelling with GPT-4: Be An Author And Create Your Own Adventure

Lecture 20 Introduction to Interactive Storytelling with GPT-4: Meet Elara's Adventure

Lecture 21 Quick Setup For GPT-4: Install & Insert OpenAI API Key in Colab

Lecture 22 Creating Story Prompts with GPT-4: Defining AI Responses in Python

Lecture 23 Step 1: Start the Interactive Story with GPT-4—Setting the Scene

Lecture 24 Organizing the Story: Splitting into Chapters for Better Flow with GPT-4

Lecture 25 Output The Split Chapters: Organise The Main Character's (Elara) Adventure

Lecture 26 Step 2: Make the Story Interactive—User Input Drives Elara's Adventure

Lecture 27 Step 3: Guide the Main Character's (Elara) Journey: Add User Choices

Lecture 28 Step 3.1: Adding New Story Chapters—Tracking Elara's Adventure

Lecture 29 Make Decisions For Your Story Character (Taught With Harley, My Doggo!)

Lecture 30 Enhancing User's Choices: Character Can Explore, Interact, or Choose Bold Moves

Lecture 31 Reviewing Story Outcomes: See How User Choices Shape Elara's Adventure

Section 7: Python: A Beginner's Guide (Optional)

Lecture 32 Download Resource Workbook For This Section

Lecture 33 What Are Variables And Lists?

Lecture 34 Create Variables

Lecture 35 Create Lists

Lecture 36 IF, ELIF, ELSE Statements

Lecture 37 IF Statements With Multiple Conditions

Lecture 38 Functions: Part 1

Lecture 39 Functions: Part 2

Lecture 40 Python Terminology: Scripts, Modules, Packages, Libraries

Lecture 41 What is A Module

Lecture 42 Create A Module

Section 8: Named Entity Recognition (NER) with SpaCy: Concept & Practical Project

Lecture 43 Why Question Answering Systems Need NER

Lecture 44 Why Chatbots Need NER

Lecture 45 Loading and Initializing SpaCy Pipeline for NER (Practical Part 1)

Lecture 46 Exploring SpaCy NER Attributes: Understanding Entity Details (Practical Part 2)

Section 9: Tokenization & Regular Expressions

Lecture 47 Overview of This Section

Lecture 48 What is Tokenization? Introduction to the Linguistic theory for tokenization.

Lecture 49 Linguistic theory for Word Segmentation.

Lecture 50 The Role of Cliticisation & Contractions in Tokenization

Lecture 51 Tokenization with NLTK

Lecture 52 Use Contractions Library To Expand Clitics

Lecture 53 Introducing Regular Expressions

Lecture 54 Word Segmentation using Python's .split()

Lecture 55 Sentence Segmentation using Python's .split

Lecture 56 ReGex Split Method re.split() Regular Expressions

Lecture 57 Regex Substitute Method re.sub Regular Expressions

Lecture 58 Search Method using Regex re.search | Regular Expressions

Lecture 59 Part 1: Find All Emails in Contact Details | Regular Expressions re.findall()

Lecture 60 Part 2: Find All Emails in Contact Details | Regular Expressions re.findall()

Anyone interested in exploring the world of NLP and Generative AI – This course is perfect for those curious about how language models like GPT-4 work and how they can be applied in the real world.,Business professionals and marketers – Learn to leverage NLP for analyzing customer sentiment, generating custom marketing content, and improving decision-making. Can help at interviews & job promotions.,Beginners in Python or Data Science – If you're planning to take an advanced NLP or data science course but feel intimidated, this foundational course will help you confidently catch up.