AI Engineer Career Accelerator Program

Sentiment classification with LLMs and few-shot prompting

Build a multi-task NLP service powered by focused LLM prompts and per-task streaming.

Streaming LLM Applications with FastAPI

Stream LLM responses in real-time and master prompt engineering fundamentals.

Long document RAG with conversational memory

Build a conversational AI tutor over long PDFs with chapter-aware chunking and memory-backed retrieval.

RAG systems with ChromaDB and cross-encoder reranking

Build a grounded RAG chatbot with ChromaDB, web scraping, and cross-encoder reranking.

Hybrid document search with Qdrant and Sentence Transformers

Hybrid retrieval with dense vectors, sparse keywords, RRF fusion, and cross-encoder reranking.

Advanced RAG with query rewriting and evaluation

Add query rewriting, sub-graphs, PII scrubbing, and RAGAS scoring to a production RAG pipeline.

Graph RAG with LangChain and Neo4j

Build a knowledge graph from raw text, ask natural-language questions over it, and beat vector RAG on multi-hop queries.

Vectorless RAG with Hierarchical Document Trees

Skip the vector database. Navigate document trees with an LLM agent and get cited answers.

Advanced RAG Course: Build Text to SQL Agentic AI System

Build production agentic AI systems, from architecture to deployment.

Structured data extraction with vision LLMs and Pydantic

Extract structured data from images with vision LLMs and Pydantic validation.

Image-to-image generation with FLUX and provider pattern

Build an image-to-image API with FLUX and the provider pattern.

Building voice AI agents with LiveKit and Deepgram

Build a real-time voice AI agent with LiveKit, Deepgram, and tool calling.

Real-time phone agents with FastRTC

Ship a real-time phone voice agent over WebRTC with FastRTC, Whisper, and swappable TTS.

Building MCP servers for GitHub PR review

Build an MCP server that reviews GitHub pull requests end to end.

Full-stack agentic AI with Next.js and LangGraph

Ship a multi-step AI agent in one Next.js app with streaming tools and memory.

Learn to Build your own Coding Agent (Claude Code)

Reverse-engineer how Claude Code works. Then build your own production AI coding agent from scratch.

LLM Observability with Arize Phoenix

Emit JSON logs with request IDs and OpenTelemetry spans across every tool call so you can click a trace and see exactly what your agent did.

Agent evaluation techniques

Stop shipping agents you cannot defend. Learn the eval patterns LangSmith-backed teams actually use.

Production agentic systems with Langfuse

Turn a notebook agent into a service you would be happy to wake up to at 3am.

Layered production AI architecture

Architect an agent as seven composable layers with per-request traces.

Deploying AI applications with FastAPI and Docker

Production FastAPI patterns for AI apps: SSE, jobs, CORS, probes, logs, Docker, graceful shutdown.

Enterprise RAG infrastructure with Kubernetes and Ray

Ship a RAG service that survives real production traffic on Kubernetes.