Ready Tensor Agentic AI Certification – Unit 10

This repository contains lesson materials and code examples for Unit 10 of the Agentic AI Developer Certification Program by Ready Tensor. This is about packaging agentic AI systems for different audiences — from portfolio demos to production handoffs.

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What You'll Learn

• Lessons 1a-1b: FastAPI & Render — Build professional APIs and deploy them as scalable services
• Lesson 2: Gradio & Hugging Face — Create intuitive demos and share them instantly
• Lesson 3: Streamlit & Cloud — Build interactive showcases for stakeholders and employers
• Lesson 4: Building Resilience — Handle real-world failures gracefully when APIs go down
• Lesson 5: Production Documentation — Technical docs and compliance materials for professional handoffs

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Getting Started

Prerequisites

• Python 3.10+
• Groq API key (for Lesson 1). You can get your API key from Groq.

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API Key Setup

Create a .env file in the root directory and add your API key:

GROQ_API_KEY=your-api-key-here

Usage

Lesson 1a: FastAPI Service - Example 1 (Simple Service)

1. cd code/lesson1a_fastapi/
2. python -m venv venv (if not already created)
3. source venv/bin/activate (or venv\Scripts\activate on Windows)
4. pip install -r requirements.txt
5. python example/main.py for example 1 (simple service)
6. Open your browser and go to http://localhost:8000/docs to interact with the API.

Lesson 1a: FastAPI Service - Example 2 (RAG-based Service)

1. cd code/lesson1a_fastapi/
2. python -m venv venv (if not already created)
3. source venv/bin/activate (or venv\Scripts\activate on Windows)
4. pip install -r requirements.txt (if not already installed)
5. python example2_rag/setup_data.py to ingest data into the RAG database (one-time only)
6. python example2_rag/main.py to run the RAG service
7. Open your browser and go to http://localhost:8000/docs to interact with the API.

Lesson 2: Gradio App

1. cd code/lesson2_gradio/
2. Create a .env file with your Groq API key:

   GROQ_API_KEY=your_groq_api_key_here
   

3. python -m venv venv (if not already created)
4. source venv/bin/activate (or venv\Scripts\activate on Windows)
5. pip install -r requirements.txt
6. python main.py to run the Gradio app
7. Open your browser and go to http://localhost:7860 to interact with the app.

Lesson 3: Streamlit App

1. cd code/lesson3_streamlit/
2. Create a .env file with your Groq API key:

   GROQ_API_KEY=your_groq_api_key_here
   

3. python -m venv venv (if not already created)
4. source venv/bin/activate (or venv\Scripts\activate on Windows)
5. pip install -r requirements.txt
6. streamlit run main.py to run the Streamlit app
7. Open your browser and go to http://localhost:8501 to interact with the app.

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License

This project is licensed under the CC BY-NC-SA 4.0 License – see the LICENSE file for details.

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Contact

Ready Tensor, Inc.

• Email: contact at readytensor dot com
• Issues & Contributions: Open an issue or PR on this repo
• Website: https://readytensor.ai