Generative AI for Developers

A code-first bootcamp on building real applications with generative models. Go beyond prompting and learn to integrate LLMs into software using APIs and modern tools like Genkit.

Level

Advanced

For

Grades 9-12

Duration

3 or 5 Days

What You Will Master

LLM APIs and SDKs

Learn to interact with models like Gemini programmatically using official software development kits.

Structured Output (JSON Mode)

Force LLMs to return clean, predictable JSON using Zod schemas, making them reliable components in a larger system.

AI Safety & Guardrails

Implement programmatic checks and safety filters to ensure your AI application behaves responsibly and predictably.

Full-Stack AI Development

Use Next.js for the frontend and Genkit for the backend to build a complete, modern AI application on Firebase.

The Capstone Project

AI-Powered Content Summarizer & Tagger

Build a web application that takes a long piece of text (like an article) and uses an LLM to generate a concise summary and a list of relevant keyword tags. This project requires forcing structured JSON output and showcases a practical, real-world use case for LLMs in software.

Key Transformation

Build and deploy a functional web application that uses a Large Language Model to perform a specific task, understanding the full development lifecycle of a modern AI product.

Course Syllabus

1
Session 1: The AI Developer Mindset

Learn to think of LLMs as powerful, non-deterministic components. Set up your development environment with Node.js, Next.js, and the Genkit CLI. Initialize your Firebase project.

2
Session 2: Interacting with Models via Code

Make your first API calls to an LLM using Genkit. Learn about temperature, top-k, and other parameters that control model behavior, and how to stream responses for a better user experience.

3
Session 3: Ensuring Reliability with JSON Mode

Define Zod schemas to force the LLM to return perfectly structured JSON. Build a simple backend flow in Genkit to handle requests and responses reliably. Test your flow with the Genkit developer UI.

4
Session 4: Building the Frontend & Deployment

Create a React/Next.js frontend with state management to interact with your AI backend as a Server Action. Learn to deploy the full-stack application to the web using Firebase App Hosting.

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Build Your Advantage

Our project-based workshops are designed to give you a tangible, verifiable edge. Enroll now to secure your spot and start building your future.