Generative AI & ChatGPT Basics Practice Exam
Generative AI & ChatGPT Basics Practice Exam
About Generative AI & ChatGPT Basics Exam
The Generative AI & ChatGPT exam evaluates your understanding of foundational concepts in generative AI, with a focus on ChatGPT and its applications. This exam covers the basics of how generative AI works, its potential use cases, and the underlying principles that make tools like ChatGPT effective. It also includes a section on responsible AI usage, the ethical implications of using generative models, and common challenges encountered when deploying them.
Skills Required
- Basic understanding of AI principles and machine learning concepts
- Familiarity with natural language processing (NLP) fundamentals
- Knowledge of ChatGPT’s capabilities, limitations, and use cases
- Understanding of the ethical considerations when using AI models
- Ability to explore generative AI tools and apply them to solve practical problems
Who should take the Exam?
This exam is ideal for:
- Beginners and enthusiasts in AI, looking to expand their knowledge in generative models
- Developers interested in exploring ChatGPT and similar AI tools for integration into their projects
- Business professionals and product managers who want to leverage generative AI for innovation in their organizations
- AI practitioners seeking a foundation before advancing to more technical, specialized AI exams
- Anyone interested in understanding the capabilities and limitations of AI, with a focus on ChatGPT applications and responsible usage
Course Outline
The Generative AI & ChatGPT Basics Exam covers the following topics -
Domain 1 - Exploring OpenAI's Beta
- Overview of OpenAI API
- Introduction to GPT-3: Key Features and Functions
- Understanding Models, Endpoints, and Usage
- Hands-on with Playground: Experimenting with OpenAI's API and GPT-3 Models
- Reviewing Documentation, Best Practices, and Sample Use Cases
Domain 2 - OpenAI API Setup, Reference, and Initial Example
- Overview and Project Setup (Download Starter Files)
- Installing and Utilizing OpenAI’s Node.js Library (Part 1)
- Installing and Utilizing OpenAI’s Node.js Library (Part 2)
- API Key Setup and Authentication Process
- Making API Calls: Using Async Function, POST Request, and Output Completion
- Configuring API Settings for Optimization
Domain 3 - Content Generation with the Completion Model – (Project: FACTS SEARCH)
- Project Introduction and Setup
- API Key and OpenAI API Configuration
- Generating Content with the Davinci Model
- Crafting Prompts and Modifying Settings for Optimal Results
Domain 4 - Generating Images Using the DALL-E Model
- Introduction and Project Overview
- OpenAI API Setup and Configuration (Demo)
- Crafting Prompts and Fine-Tuning Settings
- Sending Requests to the DALL-E API
- Final Steps: Generating Unique Images from Text Prompts
