Career Path: AI Engineer

This roadmap prepares you to design, build, and deploy intelligent systems. It focuses on applied AI, GenAI, NLP, Computer Vision, and real-world AI tools.

Phase 1: Programming & AI Foundations

Strong foundations required for building AI systems.

Python (Complete) Statistics Mathematics

Phase 2: Core Artificial Intelligence

Understand AI concepts and intelligent decision-making.

Artificial Intelligence AI Fundamentals ML Basics

Phase 3: Machine Learning for AI Systems

Apply ML as a core component inside AI solutions.

Machine Learning Algorithms Feature Engineering

Phase 4: Deep Learning

Build neural-network-based AI models.

Deep Learning

Phase 5: Natural Language Processing (NLP)

Build AI systems that understand and generate text.

NLP Prompt Engineering

Phase 6: Computer Vision

Build AI systems that see and understand images.

Computer Vision

Phase 7: Generative AI & AI Tools

Work with modern GenAI models and AI-powered tools.

GenAI AI Tools Speech AI

Phase 8: AI Systems & Deployment Basics

Understand how AI models are deployed and monitored.

Linux Admin Docker

Phase 9: Projects & Career Readiness

Build AI projects and prepare for AI engineering roles.

AI Projects Portfolio Interview Prep