Generative AI Project Structure: A Modular Approach
Learn to organize complex GenAI projects with clean architecture. Covers modular design patterns, configuration management, error handling, rate limiting, and best practices for maintaining scalable AI applications. Includes real-world examples of structured vs unstructured approaches.
Duration
4 weeks
Lessons
28 lessons
Level
Intermediate
Price
Free
Resource Outline
Module 1: Foundations and Project Architecture
- Introduction to Structured GenAI Projects
- Project Directory Structure Deep Dive
- Supporting Components
Module 2: Implementation and Best Practices
- Structured vs. Unstructured Data Processing
- Essential Best Practices
- Configuration Management
- Error Handling Strategies
- Rate Limiting Implementation
What You'll Learn
Pre-requisites
- Basic understanding of Generative AI concepts
- Familiarity with Python programming
- Experience with at least one AI project
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Your Instructor
Deepak Chawla
Founder of HiDevs
Deepak Chawla is a Data Scientist with over seven years of experience in AI, Machine Learning, and Cloud Computing. He co-founded HiDevs to build the largest Generative AI workforce. Prior to HiDevs, he worked at AI Planet, Coffeebeans, Merito, Easyrewardz, Bridgelabz, and Hidden Talent. He studied at M.L.V. Textile Engineering College in Bhilwara. Deepak developed the app "CorrectMe" and offers AI courses through HiDevs.