Contents

01 · Generative AI 02 · Large Language Models 03 · Prompt Engineering 04 · Hands-on with LLMs 05 · LLM Integration Project setup
Course material

Take the project
home.

Clone the repository, add your Groq key locally, and run the course pages or the LLM integration demo.

1. Clone

git clone https://github.com/gksoriginals/lbs-full-stack-ai.git
cd lbs-full-stack-ai

2. Create a Groq API key

Open Groq Console → API Keys, create a key, then choose an available chat model from the Groq model list.

3. Add your Groq key and model

GROQ_API_KEY=gsk_your_key_here
GROQ_MODEL=openai/gpt-oss-20b

Save these two lines in a file named .env at the project root. It is ignored by Git.

4. Run the course pages

python3 -m http.server 8765 --directory docs

Open http://127.0.0.1:8765 in a browser.

5. Run the LLM demo

python3 -m pip install openai python-dotenv
cd docs/demo
python3 policy_assistant_demo.py

Open http://127.0.0.1:8080.

Keep your key private. Do not commit or share the root .env file.