This repository outlines a comprehensive roadmap for aspiring AI Engineers in 2024, detailing the skills, tools, and project experience required for the role. It targets individuals looking to build a career in AI, providing a structured learning path from foundational programming to advanced MLOps and Generative AI.

How It Works

The roadmap is structured into sequential learning modules, starting with Python programming and essential libraries (NumPy, Pandas, Matplotlib), followed by statistics, databases (MongoDB, MySQL, Cassandra), Machine Learning, Deep Learning, and Natural Language Processing. It emphasizes practical application through end-to-end projects and covers production deployment using frameworks like Flask, Gradio, BentoML, and MLOps tools such as Docker, Kubernetes, MLflow, and cloud platforms (AWS, Azure, GCP).

Quick Start & Requirements

• Installation: Primarily relies on Python and its associated libraries. Specific project deployments may require Docker.
• Prerequisites: Python 3.x, Git, and potentially cloud provider accounts (AWS, Azure, GCP) for deployment. Access to YouTube playlists for video tutorials.
• Resources: Requires significant time commitment for learning and project completion. Links to specific YouTube playlists and documentation are provided within the roadmap.

Highlighted Details

• Covers foundational Python to advanced Deep Learning and NLP.
• Includes practical MLOps aspects like CI/CD, monitoring, and deployment.
• Features end-to-end project examples with deployment and version control.
• Integrates Generative AI concepts with Langchain, LLMs, and fine-tuning.

Maintenance & Community

The roadmap is associated with the YouTube channel "Krish Naik" and its Hindi counterpart, indicating a strong community focus. Links to support channels and social media are provided.

Licensing & Compatibility

The repository itself does not specify a license. The linked resources (YouTube videos, documentation) are subject to their respective licenses and terms of service. Compatibility for commercial use depends on the licenses of the individual tools and platforms mentioned.

Limitations & Caveats

This roadmap is a curated list of learning resources and does not include code implementations directly within the repository. The effectiveness relies heavily on the user's self-discipline and ability to follow external video tutorials and documentation. Some linked resources may be subject to change or removal by their creators.