Chatbot Icon

Catalyze AI: Python to Core GenAI (Google ADK)

Program Details

Hands-on Internship

1 Months

Online/offline

Beginer Level

Catalyze AI Internship is a 1-month practical internship designed to introduce learners to Generative AI application development using Python and Google ADK.

This internship focuses on core GenAI concepts — LLMs, prompt engineering and AI application workflows
The goal is to build strong fundamentals and real working GenAI applications.

What You’ll Learn:

  • Write clean, backend-ready Python for AI workflows

  • Understand how Large Language Models (GPT, Gemini) work

  • Design effective prompts for real-world use cases

  • Build single-agent GenAI workflows using Google ADK

  • Follow professional project structure using Git

Career Outcome:

GenAI Engineer (Intern / Junior)

 Generative AI (GenAI) Engineer Intern assists in designing, building, and deploying AI-driven solutions, focusing on Large Language Models (LLMs), prompt engineering, and machine learning models

AI Engineer (Fresher)

Develops, tests, and deploys machine learning models and AI applications, focusing on data preprocessing, algorithm implementation, and system optimization

AI Application Developer

A specialized software engineer responsible for designing, building, and deploying artificial intelligence (AI) and machine learning (ML) models into functional applications

Python Developer (AI-Focused)

Designs, builds, and deploys AI/ML models and applications, integrating them into production systems using frameworks like PyTorch or TensorFlow, and APIs like OpenAI or LangChain

Internship Curriculum:

Curriculam Road map

Week 1
Python Foundations for GenAI
  • Python Basics & Execution Flow

  • Control Flow (conditions, loops)

  • Functions, Modules & Clean Code

  • Python Collections & Comprehensions

  • Git fundamentals & project organization
Week 2
Generative AI Fundamentals
  • Introduction to Generative AI

  • LLM Landscape (GPT, Gemini, Claude)

  • How LLMs Generate Responses

  • Prompt Engineering (zero-shot, few-shot, role prompting)

  • Working with LLM APIs (OpenAI, Gemini)
Week 3-4
Google ADK & Application Development
  • Google ADK fundamentals

  • Designing single-agent GenAI workflows

  • Tool usage & prompt orchestration

  • Capstone project implementation

  • Project walkthrough & review
Outcome

 Complete a functional GenAI application with clean design.

Tools Covered:

Python Streamline Icon: https://streamlinehq.com
Open Ai Logo Thin Streamline Icon: https://streamlinehq.com
Google Gemini Streamline Icon: https://streamlinehq.com
Git Streamline Icon: https://streamlinehq.com
Visual Studio Streamline Icon: https://streamlinehq.com

What You’ll Build

  • Internship Capstone Project

    Core GenAI Application

    • Single-agent GenAI app using Google ADK
    • Prompt-driven AI workflows
    • Clean, modular Python codebase
  • Skills Covered

    • Python Programming
    • Large Language Models
    • Prompt Engineering
    • Google ADK
    • GenAI Application Design
    • Git & Version Control

Ready to Accelerate Your Career

Join the next cohort of Catalyze AI and transform from a coder to an AI Architect.

Catalyze AI: From Python to GenAI 1 month internship

Congratulations!

Your Journey To Become A Tier-1 Software Engineer Starts Here

Contact Us : +91 88934 99100

We’re honored to be part of your journey. Your details are safe and will only be used to enhance your learning experience.

Congratulations!

Your Journey To Become A Tier-1 Software Engineer Starts Here

EnquireNowNewForm

We’re honored to be part of your journey. Your details are safe and will only be used to enhance your learning experience.

small_c_popup.png

We'll send it directly to your inbox!

Download Brochure

small_c_popup.png

We'll send it directly to your inbox!

Download Brochure

Download Brochure