Published 8/2024
Created by Sahil Vohra
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 39 Lectures ( 7h 8m ) | Size: 7.13 GB
Master OpenAI API with Python: Build 7 Real-World Projects from Scratch
What you’ll learn:
Understanding the OpenAI API software development kit with python
Practical application and implementation with projects
Building custom applications using Fine tuned OpenAI models
Using APIs other than text/chat like Vision API (DALL-e), Text to speech, Embeddings API etc
Building RAGs using OpenAI’s vector search databases
Requirements:
Python
Basic NLP
Description:
Course Description:Unlock the power of the OpenAI API with this comprehensive Udemy course designed to take you from novice to expert. Dive into artificial intelligence and machine learning with Python through practical, hands-on projects. This course is meticulously crafted to provide you with a deep understanding of OpenAI’s capabilities and applications.What You Will Learn:Introduction to OpenAI API: Get started with a thorough overview of the OpenAI API, including setup, playground usage, pricing, and how to set usage limits.Prompting Techniques: Master various prompting techniques such as Zero-shot, Few-shot, and Chain of Thought Prompting to interact with the API effectively.Textual and CSV Data Creation: Apply your prompting knowledge in a complete project to generate textual and CSV data using OpenAI API prompting.Fine-Tuning Models: Learn the intricacies of fine-tuning with the OpenAI API to tailor models to your specific needs.Batch API Requests: Gain practical experience with API requests in batches through two dedicated projects.Image Generation with DALL-E: Explore the capabilities of DALL-E to generate stunning images from textual prompts.Text-to-Speech and Speech-to-Text: Understand and implement text-to-speech and speech-to-text functionalities, including working with the Whisper API.Creating Embeddings and Projects: Learn how to create embeddings from text and work on four projects including Semantic Search, Code Search, Basic ML, and Visualization.Building Advanced Assistants: Develop Code Interpreters, Vector Search tools, File Search utilities, and Function Calling Assistants using OpenAI API.Custom Functions and APIs: Master the art of calling custom functions using the Chat Completion API and Assistants API with Function Calling.Each module is designed to build upon the previous one, ensuring a solid grasp of both the theoretical and practical aspects of working with the OpenAI API. By the end of this course, you’ll be equipped with the skills to harness the full potential of OpenAI’s powerful tools for a variety of applications.Enroll now to transform your AI expertise with real-world projects and in-depth training!
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