AI Engineering & Agent Development
Master Claude, OpenAI, LangChain, LangGraph, AWS Bedrock, and Konva.js for production AI systems.
About this course
A production-grade curriculum covering every layer of modern AI engineering — from LLM APIs and agent frameworks to managed cloud AI and interactive canvas interfaces. Built for engineers who want to design, build, and deploy real AI systems with confidence in technical interviews and on production teams.
Curriculum (7 modules)
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Claude API
Anthropic's frontier model API — messages, tool use, streaming, prompt caching, and building production agents.
OpenAI API
Chat Completions, function calling, embeddings, streaming, and production engineering with the world's most widely deployed LLM API.
LangChain
Pipeline orchestration for LLM applications — chains, RAG, agents, memory, and LCEL for production AI workflows.
LangGraph
Build stateful, multi-step AI agents as graphs — nodes, edges, state machines, human-in-the-loop, and persistence.
AWS Bedrock
Managed AI infrastructure on AWS — foundation model invocation, Knowledge Bases, Agents, IAM security, and enterprise AI governance.
Konva.js
Canvas abstraction for interactive graphics — Stage, Layer, Shape hierarchy, events, transformers, drag-and-drop, and performance for AI-powered interfaces.
Capstone: AI Canvas Studio
A production-grade multi-agent AI application combining Claude, LangGraph, LangChain, AWS Bedrock, and Konva.js — full system design, architecture, and build.
Free
Free for everyone · Lifetime access
100% free — no payment details needed