This repository outlines the syllabus for the Panaverse Certified Web3 and Metaverse Developer program, focusing on Cloud Native Applied Generative AI (GenEng and CNAI). It targets individuals seeking to master in-demand skills for building intelligent, scalable cloud applications using Generative AI and Cloud Native technologies, preparing them for global certifications and freelance opportunities.

How It Works

The one-year, five-quarter program integrates foundational GenAI concepts with practical application development. It emphasizes building AI-powered microservices using Python, FastAPI, and various GenAI APIs, alongside cloud-native deployment strategies with Docker and Kubernetes. A key focus is on developing custom GPTs and multi-AI agent systems, leveraging tools like crewAI for automating complex business processes.

Quick Start & Requirements

• Installation: No direct installation instructions are provided as this is a syllabus repository.
• Prerequisites: The syllabus implies a need for Python, Docker, Kubernetes, cloud platform access (Azure, Google Cloud, AWS), and familiarity with AI/ML concepts. Specific certifications are listed per quarter.
• Resources: The program is described as a hybrid learning model.

Highlighted Details

• Covers foundational GenAI, Python, AI-powered microservices, cloud-native deployment, custom GPTs, multi-AI agent systems, Kubernetes, Terraform, and front-end development with Next.js/TypeScript.
• Includes preparation for multiple industry certifications like Google AI Essentials, Confluent Certified Developer for Apache Kafka, CKAD, and Microsoft Azure AI Engineer Associate.
• Offers an "Earn While You Learn" model, enabling freelancing after the second quarter.
• Provides advanced specialization tracks in areas like Healthcare, Web3, Metaverse, Finance, and Cybersecurity.

Maintenance & Community

No specific details on contributors, sponsorships, or community channels (like Discord/Slack) are provided in the README.

Licensing & Compatibility

The repository itself is hosted on GitHub Pages, implying a standard GitHub Pages setup. No specific software license is mentioned for the syllabus content.

Limitations & Caveats

This repository serves as a syllabus and does not contain executable code. The program's effectiveness and the feasibility of the "Earn While You Learn" component are not independently verifiable from this README. The rapid pace of GenAI development means the syllabus may require frequent updates.