
Here is a quick summary of what you will learn in this course:
1. Text Completion & Prompt Engineering
Generate text with varying styles and creativity levels
Understand core API parameters: model, max_tokens, temperature, n, etc.
Lesson Highlight: Background completion jobs for long outputs like reports or novels
2. Chat Completions (Multi-Turn Conversations)
Use structured roles (system, user, assistant)
Maintain contextual chat sessions
Build interactive chatbot flows
3. Function Call Integration
Call external APIs dynamically from GPT responses
Case Study: Fetch real-time weather data with function calling
4. File + Text Inputs
Combine text prompts with attached files (e.g., PDFs, docs)
Enable models to reference document content during generation
5. Search & Retrieval Control (Learn to use OpenAI's Vector database and searches)
Control which documents from your vector store are used
Efficiently limit file search tuning to improve context focus
6. Content Moderation (Using OpenAI Content Moderation APIs)
Protect your application by filtering harmful or policy-violating user input.
Learn to use the Moderation API effectively.
7. Image Generation (Learn to create various types of Images using OpenAI APIs)
Generate and manipulate images using GPT–4 tools
Export results to your local system
So, what are you waiting for? Enroll in the course, and I will see you inside. Happy Learning!