What you'll learn

Learn to interact with OpenAI Platform (Generative AI) using Python Code

Learn the LLM basics, ChatGPT evolution, training, and practical usage.

Learn to work and explore the multimodal capabilities such as images, files, audio using OpenAI and Python code.

Learn to use Prompt Engineering to guide AI models in generating accurate outputs.

Learn to use latest techniques to generate the Structured Outputs from LLM

Learn to use the power of function calling with OpenAI to interact with external systems

Requirements

Experience with Python

Experience working with IDE such as Visual Studio Code.

Description

"AI Application Development with OpenAI, ChatGPT, and Python" is a comprehensive course designed to teach you how to harness the power of OpenAI's APIs and tools to build advanced AI applications. You'll explore the fundamentals of Large Language Models (LLMs), understand the evolution of ChatGPT, and gain hands-on experience in using OpenAI's capabilities for text, image, and audio processing. The course covers essential topics such as prompt engineering, structured data generation, and function calling, enabling you to create dynamic and interactive AI solutions. Whether you're a developer, data scientist, or AI enthusiast, this course provides the knowledge and skills to develop cutting-edge AI applications using Python and OpenAI.1. Getting Started with the CourseThis section introduces the course, outlining what you can expect to learn and achieve by the end of it. We will cover how to set up your environment, download course materials, and access the resources needed to follow along.2. Introduction to Large Language Models (LLMs), OpenAI & ChatGPTDive into the world of LLMs with an in-depth look at OpenAI's ChatGPT, its architecture, and how it’s revolutionizing AI-driven language processing. Explore the history of how we interacted with computers before LLMs and how it has evolved since the release of ChatGPT. You'll trace the evolution of LLMs and understand the complexities involved in training these models.3. OpenAI APIs: Your First Steps to MasteryMaster the essential steps for working with OpenAI APIs, from setting up your environment on Mac or Windows to making your first API requests. This section covers everything from installing Python, managing dependencies using Poetry or pip, configuring your OpenAI API key, and interacting with GPT models using OpenAI clients.4. Mastering Multimodality: Creating and Editing Images with OpenAILearn how to leverage OpenAI's capabilities to generate and edit images. This section introduces you to multimodality in AI, combining text and image generation. You’ll explore how to create images, edit them, and use OpenAI's variation functions to enhance creativity.5. Mastering Multimodality: Exploring Vision Capabilities with OpenAIDelve into the vision capabilities of OpenAI. You'll learn how to analyze images using URLs, process base64-encoded images, and understand the limitations of OpenAI’s Vision API. This knowledge will help you integrate vision-based AI solutions into your projects.6. Mastering Multimodality: Creating and Processing Audio with OpenAIExplore how OpenAI handles audio data, including text-to-speech conversion, speech-to-text transcription, and language translation using the Whisper API. You will gain hands-on experience in converting written text into speech and transcribing spoken language into text.7. Prompt EngineeringThis section covers the art of crafting prompts to guide AI models in generating accurate outputs. You’ll learn about various prompting techniques, including zero-shot and few-shot prompting, and how to structure prompts to achieve desired results. You’ll also explore how to protect prompts from injection attacks.8. Generating Structured Data with OpenAIUnderstand how to generate structured data using OpenAI's LLMs. This section includes prompt engineering techniques, using Pydantic for data validation, and advanced methods for structured outputs. You'll learn how to manage structured data in Python efficiently and how to combine Pydantic with prompt engineering for accurate data generation.9. Function Calling using Tools with OpenAIDiscover how to use OpenAI for function calling to interact with external systems, retrieve real-time data, and build interactive applications. You'll learn how to connect OpenAI to APIs for real-time data, such as weather updates and stock prices, making your AI applications more dynamic and responsive.This comprehensive course will equip you with the skills needed to build AI-powered applications using OpenAI's powerful tools and APIs. Join us as we embark on this journey to master the art of AI application development with hands-on projects and real-world examples.