Title

The Complete OpenAI and GPT Course in Python w/ Q&A Chatbot

Master OpenAI's GPT, Semantic Search, Embeddings, and Q&A to build a Financial Assistant. Beginner friendly.

5.00 (5 reviews)

Udemy

platform

English

language

Data Science

What you will learn

The foundations of GPT and generative text - Large Language Models (LLM), Prompt Engineering

Receiver Augmented Generation (RAG) for Question Answering - its use cases and challenges, and real world implementation

Finetuning GPT models and their best practices, when and when not to fine tune.

Best practice strategies for troubleshooting issues with OpenAI APIs

Semantic Search - theory and Implementation

Vector databases, Pinecone - how they work, code samples

How to choose the right GPT model for completion and classification tasks

Understand how to use OpenAI’s APIs and their production best practices

Tackling the LLM hallucination problem - what the problem is, and specific strategies to mitigate it.

Why take this course?

🚀 Course Title: The Complete OpenAI & GPT Course in Python with Q&A Chatbot 📚 totally beginner-friendly, this course is your golden ticket to the world of AI! 🏫✨

Master OpenAI's GPT & Build a Financial Assistant

Note: This course assumes that you have a grasp on the basics of Python and Pandas. You don’t need to be an expert, but some familiarity with Python syntax will help you follow along more easily.

Course Highlights 🌟

hands-on AI development using OpenAI's GPT and other state-of-the-art tools!
comprehensive understanding of Large Language Models, Prompt Engineering, Semantic Search, and more.
real-world code samples, including Google Colab notebooks to get you started quickly.
step-by-step learning with a blank app that you'll build feature by feature.
theoretical foundations covered just enough before moving on to the next feature, ensuring a solid understanding as you progress.

Why This Course? 🤔

No need for powerful hardware: Start building your financial assistant without needing a GPU or high-end computer.
Direct access to Q&A forums: Stuck on a concept or exercise? Get the help you need from the community.
Deploy your own AI app by the end of the course: Not just theory here; you'll have a tangible, functional project to show for it.

What You Will Learn 📈

Building an AI Chatbot with Streamlit: Create interactive and intuitive chatbots.
IntentClassifiers: Understand, build, and apply classifiers to interpret user intents effectively.
Prompt Engineering: Master the art of crafting prompts that elicit the desired responses from AI models.
Evaluating Prompts: Learn how to evaluate the effectiveness of your prompts and select the best ones for your application.
Word Embeddings: Grasp the concept of word embeddings and their role in quantifying the semantic similarity between words.
Vector Databases: Store word embeddings efficiently and leverage them for powerful search capabilities.
Semantic Search Engine: Design a search engine that can intelligently understand and respond to queries based on embeddings.
Entity Resolution: Perform entity resolution for document analysis, enhancing the accuracy of your AI assistant.
Sentiment Extraction: Utilize GPT to analyze sentiments within text data.
Data Cleaning for Finance Datasets: Learn to clean financial datasets for use with semantic search applications.
Embedding Finance Documents: Embed documents into the model space and understand the implications of this powerful technique.
Q&A system Deployment: Learn how to deploy a Q&A bot and custom action system using OpenAI's technology.
Fine-Tuning for Accuracy: Fine-tune language models to ensure the AI assistant provides accurate information.

Enroll Now! 🎓

Dive into the exciting world of AI with Python, and open the doors to endless possibilities with OpenAI's GPT technology. Whether you're aiming to build a financial assistant or simply wish to expand your AI knowledge and skills, this course is your gateway. Sign up today and take your first step towards becoming an AI development expert! 🚀💻