AI Automation &
Agents Program
Move past basic chat interfaces. Build self-correcting agent loops, structured JSON-LD data generators, and complex automations that handle real business logic.
Core Tech Pillars
Learn how to treat LLMs as reliable computing engines inside web application services.
Prompt Engineering
Master system prompts, context window optimization, few-shot prompting, and evaluation strategies.
Structured Outputs
Enforce schemas using JSON schema models, verifying output tokens with Zod schemas to ensure code reliability.
Autonomous Agent Loops
Design self-correcting agent chains, custom tool calls, API action integrations, and human-in-the-loop steps.
Program Syllabus
What you will build and master during this program.
LLM Integration & Prompt Design
Integrate LLMs (OpenAI, Gemini), design robust prompt libraries, manage chat states, and parameter tune response temperatures.
Structured JSON Parsing & Schema Enforcement
Generate typed JSON from LLM outputs, write Zod schemas, execute validation loops, and handle formatting errors.
Agent Workflows & Function Calling
Implement custom tool functions, build recursive loop structures, and design subagent task runners.
Frequently Asked Questions
What projects will I build?
You will build an automated blog generation engine, an AI validation agent for code reviews, and a database-connected conversational agent.
Do I need prior programming knowledge?
Yes, solid foundation in JavaScript, Node.js, and handling asynchronous promises is required.