OpenAI API Development

Module 1: Introduction to OpenAI API

• OpenAI platform overview: models, pricing, and rate limits
• Setting up API keys and development environment
• Making your first API call with Python and Node.js
• Understanding tokens, context windows, and cost management

Module 2: Chat Completions API

• Chat Completions endpoint structure and parameters
• System, user, and assistant message roles
• Temperature, top-p, max_tokens, and stop sequences
• Streaming responses for real-time applications

Module 3: Function Calling and Structured Outputs

• What is function calling and when to use it
• Defining function schemas in JSON format
• Handling function call responses and executing tools
• Structured outputs for reliable JSON generation

Module 4: Assistants API

• Overview of the Assistants API and Threads
• Creating and configuring AI assistants
• File search and code interpreter tools
• Managing conversation threads and run lifecycle

Module 5: Embeddings and Semantic Search

• What are embeddings and how they capture meaning
• Generating embeddings with text-embedding-3 models
• Building semantic search with cosine similarity
• Storing and querying embeddings with vector databases

Module 6: Image Generation with DALL-E

• DALL-E 3 API overview and capabilities
• Generating, editing, and creating image variations
• Prompt design best practices for image generation
• Integrating DALL-E into web and mobile applications

Module 7: Fine-Tuning and Advanced Features

• When to fine-tune vs use prompt engineering
• Preparing fine-tuning datasets in JSONL format
• Fine-tuning GPT-4o mini and evaluating results
• Moderation API, Whisper STT, and TTS overview

Module 8: Building and Deploying OpenAI Applications

• Building a full-stack AI application with FastAPI backend
• Implementing streaming, error handling, and retry logic
• Security best practices: key management and rate limiting
• Deploying OpenAI applications to production environments

Experience in the Industry Gain knowledge from developers who have built production applications on the OpenAI API including GPT-4, DALL-E, Whisper, and Embeddings for enterprise clients.

Backgrounds at the Top Our OpenAI API trainers have delivered AI-powered products for SaaS companies, fintech firms, and digital transformation consultancies globally.

Clear & Effective Teaching Chat Completions, Function Calling, Assistants API, embeddings, and fine-tuning are explained with live code demonstrations and real use cases.

Hands-On Learning Focus Students build real OpenAI-powered applications including chatbots, document analysis tools, and semantic search systems through project-based labs.

Up-to-Date Knowledge Trainers stay aligned with OpenAI's latest API updates, model releases, pricing changes, and enterprise usage best practices.