Master OpenAI API Online Course
Master OpenAI API Online Course
This comprehensive online course on the OpenAI API and ChatGPT is designed for both beginners and experienced developers. You'll start by setting up your OpenAI account, configuring your environment, and understanding pricing. The course covers key AI concepts, including language models, transformers, and prompt engineering. You will gain hands-on experience with various OpenAI APIs, including translation, image generation, text-to-speech, and computer vision. You'll also explore advanced techniques like fine-tuning models and deploying applications. By the end, you'll have the expertise to leverage OpenAI's capabilities for diverse AI-driven tasks, from content creation to advanced language processing.
Key Benefits
- Gain an in-depth understanding of the OpenAI API, equipping you to efficiently handle complex language-related tasks with precision.
- Harness the power of Google Cloud APIs, such as Text-to-Speech, GPT-4 Vision, and Image Generation, to elevate the capabilities of your projects.
- Master the skill of prompt engineering, allowing you to customize and optimize ChatGPT’s output to achieve specific, desired results.
Target Audience
This course is designed for developers who are keen to leverage the capabilities of ChatGPT and the OpenAI API for advanced language processing tasks. Whether you are an experienced developer aiming to enhance your expertise or a beginner with no prior exposure to ChatGPT or the OpenAI API, this course offers a comprehensive and approachable learning experience. A foundational knowledge of Python, AWS, GCP, or any deployment environment will be advantageous for maximizing your learning.
Learning Objectives
- Gain an in-depth understanding of OpenAI and its diverse functionalities.
- Master the process of generating text using the OpenAI API.
- Learn how to efficiently translate text with the OpenAI API.
- Develop the skills to summarize content with the OpenAI API.
- Explore how to integrate the OpenAI API with other libraries for enhanced capabilities.
- Acquire the knowledge to deploy OpenAI-powered applications on GCP and AWS platforms.
Course Outline
The Master OpenAI API Exam covers the following topics -
Module 1 - Setting Up Your Development Environment
- Creating an OpenAI Account and Obtaining Your Secret Key
- Configuring Your Environment for OpenAI API
- Understanding OpenAI API Pricing and Setting Usage Limits
Module 2 - Introduction to OpenAI API and Large Language Models (LLMs)
- Overview of OpenAI API
- Understanding Transformers and Their Role in Generative AI
- Basics of Prompt Engineering
- Zero-Shot and Few-Shot Prompting Techniques
- Using Chain of Thought Prompting for Enhanced Results
- Process of Improving Accuracy with Grounding LLMs
- Exploring How Encoders Enable LLMs to Process Prompts
Module 3 - OpenAI API Use Cases and Demonstrations: Completion API
- Translating Text Using OpenAI API
- Example: Translating an Article with the OpenAI API
- Summarization Using OpenAI API
- Example: Summarizing Content with the OpenAI API
Module 4 - OpenAI API Use Cases and Demonstrations: Chat API
- Using Chat Completion API with OpenAI
- Example: Building a Custom Chatbot with Chat Completion API
- Conducting Sentiment Analysis and Classification with OpenAI API
- Example: Performing Sentiment Analysis Using OpenAI API
Module 5 - Leveraging OpenAI Vision, Text-to-Speech, and Image Generation APIs
- Overview of OpenAI’s Image Generation API
- Example: Creating Phone Wallpapers Using Image Generation API
- Exploring OpenAI’s Text-to-Speech API
- Example: Transcribing Blog Posts with Text-to-Speech API
- Introduction to Computer Vision API
- Example: Using the Computer Vision API to Count Calories in Images
Module 6 - Using Google Translate API for Text and HTML Translation
- Setting Up Google Cloud Account and Configuring Translate API
- Basic and Advanced Translation with Google Cloud Translation API
- Code Example: Translating Subtitles Using Google Translate API
- Example: Translating Subtitles into Multiple Languages
Module 7 - Fine-Tuning Models, Deployment, and Ethical Considerations
- What is Fine-Tuning, and How Is It Applied?
- Understand Fine-Tuning a Model Using OpenAI API
- Utilizing GPT Builder to Create Custom GPTs
- Process of Deploying Applications with OpenAI API
- Ethical Guidelines and Best Practices When Using AI Models
