This repository provides a comprehensive roadmap for learning Artificial Intelligence, structured into three distinct paths: Data Science & Classical AI, Generative AI, and Agentic AI. It is designed for individuals aiming to become Data Scientists, Generative AI Engineers, or Agentic AI Developers, offering a clear, step-by-step guide to acquiring the necessary skills and knowledge.

How It Works

The roadmap utilizes a modular approach, allowing users to choose a primary learning path based on their career aspirations. Each path is further broken down into specific topics, with links to detailed resources, including external roadmaps, Udemy courses, and live classes. The learning is project-oriented, encouraging hands-on application of concepts.

Quick Start & Requirements

• Primary Install/Run: No direct installation or execution commands are provided as this is a learning roadmap.
• Prerequisites: Python programming and foundational mathematics are recommended. Specific courses and projects may have their own requirements.
• Setup Time: Varies based on the chosen path and individual learning pace.
• Links:
  • Data Science Roadmap: https://github.com/krishnaik06/Complete-Roadmap-To-Learn-Data-Science
  • Generative AI Roadmap: https://github.com/krishnaik06/Complete-Roadmap-To-Learn-Generative-AI
  • Agentic AI Roadmap: https://github.com/krishnaik06/Complete-Roadmap-To-Learn-Agentic-AI
  • Udemy Courses: https://docs.google.com/document/d/1-f-f_01234567890abcdefghijklmnopqrstuvwxyzABCDEFGH/edit (Note: This is a placeholder and may not be the actual link)
  • Live Classes: Contact +919111533440 or +918484837781

Highlighted Details

• Offers three distinct learning paths: Data Science (4 months), Generative AI (2 months), and Agentic AI (2 months).
• Integrates with structured learning resources like Udemy courses and live classes with mentorship.
• Emphasizes hands-on projects and provides career guidance.
• Includes a visual learning approach diagram using Mermaid.

Maintenance & Community

• The roadmap is marked as "Active."
• Contact information for a counselling team is provided for career guidance.

Licensing & Compatibility

• License: MIT
• Compatibility: The MIT license generally permits commercial use and linking with closed-source projects.

Limitations & Caveats

The provided Udemy course link appears to be a placeholder and may not be functional. The repository itself does not contain code but rather guides users to external resources, requiring users to manage their own learning environment and dependencies.