AI & Machine LearningIntermediate
Building AI Applications with APIs
Ship real AI products using OpenAI, Anthropic, and HuggingFace APIs.
20 hoursGera AI Tutor4.8 (4,600 learners)
About this course
A project-driven course for developers who want to build AI-powered products without training their own models. You will build four complete applications: an AI writing assistant, a document Q&A tool with RAG, an AI image generation pipeline, and a voice-to-text transcription service.
Target audience: Full-stack developers, product engineers, technical founders
What you will learn
- LLM APIs
- RAG
- Vector databases
- AI agents
- FastAPI
Course syllabus
10 modules · video + projects
- 1LLM API fundamentals: authentication, rate limits, and cost management
- 2Building a streaming chat interface
- 3Document ingestion and embedding storage with a vector database
- 4Retrieval-augmented generation (RAG) from scratch
- 5Function calling and structured tool use
- 6Image generation with DALL-E and Stable Diffusion APIs
- 7Speech-to-text with Whisper
- 8Building multi-step AI agents with tool loops
- 9Deployment: wrapping your AI app in a FastAPI service
- 10Cost monitoring and output quality evaluation
Prerequisites
- –Python intermediate
- –Basic web concepts
Frequently asked questions
How much will API usage cost during the course?
Exercises are designed to use under $10 of API credits in total across OpenAI and Anthropic. Free-tier credits on new accounts usually cover the entire course.
Ready to start Building AI Applications with APIs?
Join 4,600+ learners already enrolled. Self-paced, certificate on completion.