OpenAI Python API Bootcamp (2023): Learn AI, GPT, and more! Course Syllabus

Overview (80-120 words) describing structure and time commitment.

Module 1: Introduction & API Setup

Estimated time: 0.5 hours

• Install OpenAI Python SDK
• Configure and authenticate with API key
• Explore available OpenAI models and options
• Understand usage tracking and billing basics

Module 2: Text Generation Projects

Estimated time: 1 hours

• Build a natural language to SQL generator
• Create a blog post generator using GPT
• Develop a recipe generation tool
• Implement prompt engineering best practices

Module 3: Translation & Summarization

Estimated time: 1 hours

• Automate translation of multilingual content
• Summarize international news articles
• Process and clean input text for accuracy
• Evaluate model output quality

Module 4: Code Utilities

Estimated time: 0.75 hours

• Generate Python docstrings using GPT
• Automate code commenting
• Refactor code with AI suggestions
• Integrate AI into development workflows

Module 5: Sentiment Analysis

Estimated time: 0.75 hours

• Analyze sentiment in Reddit posts
• Classify public opinions using AI models
• Visualize sentiment trends
• Handle edge cases in text inputs

Module 6: Fine-Tuning & Chatbots

Estimated time: 1 hours

• Fine-tune GPT-3.5 for custom use cases
• Build a domain-specific chatbot
• Optimize model performance
• Test and evaluate chatbot responses

Module 7: Embeddings & Q&A Tool

Estimated time: 1 hours

• Understand text embeddings and vector search
• Generate embeddings using OpenAI API
• Build a semantic Q&A system
• Retrieve relevant content based on queries

Module 8: Image Generation with DALL·E-2

Estimated time: 0.75 hours

• Generate images from text prompts
• Customize image output parameters
• Integrate DALL·E into Python applications
• Handle image generation errors

Module 9: Integration & Best Practices

Estimated time: 0.75 hours

• Integrate AI features into existing apps
• Implement error handling and retries
• Optimize API usage and cost
• Apply security best practices

Module 10: Bonus Startup Idea Projects

Estimated time: 0.5 hours

• Build a smart assistant prototype
• Create demo systems for startup pitches
• Deploy AI-powered MVP tools

Prerequisites

• Working knowledge of Python programming
• Familiarity with REST APIs and HTTP requests
• Basic understanding of command-line and package installation

What You'll Be Able to Do After

• Use OpenAI API to generate text, code, and images
• Build and deploy AI-powered Python applications
• Implement embeddings for semantic search and Q&A
• Apply fine-tuning and prompt engineering techniques
• Integrate AI features with error handling and optimization