Catalyze AI: Python to Core GenAI (Google ADK)
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:
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Write clean, backend-ready Python for AI workflows
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Understand how Large Language Models (GPT, Gemini) work
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Design effective prompts for real-world use cases
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Build single-agent GenAI workflows using Google ADK
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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
- Python Basics & Execution Flow
- Control Flow (conditions, loops)
- Functions, Modules & Clean Code
- Python Collections & Comprehensions
- Git fundamentals & project organization
- 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)
- Google ADK fundamentals
- Designing single-agent GenAI workflows
- Tool usage & prompt orchestration
- Capstone project implementation
- Project walkthrough & review
Complete a functional GenAI application with clean design.
Tools Covered:
What You’ll Build
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Internship Capstone Project
Core GenAI Application
- Single-agent GenAI app using Google ADK
- Prompt-driven AI workflows
- Clean, modular Python codebase
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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.