RoadmapsTechnology
Complete AI/ML Engineering Roadmap (2026)
Become a production-ready AI/ML Engineer capable of building, deploying, monitoring, and scaling machine learning and generative AI systems.
Phased roadmap13 phases9-15 months
- 1Phase 03-4 weeks
Programming Foundations
Topics
Tools
- Git
- GitHub
- Linux
- VS Code
- Docker Basics
Python
- Syntax
- Functions
- OOP
- Modules
- Virtual Environments
- File Handling
- Decorators
- Generators
- Typing
- AsyncIO
Projects
- CLI Todo
- File Organizer
- CSV Analyzer
Languages
- Python (Primary)
- SQL
- Bash
- 2Phase 16-8 weeks
Mathematics
Unlock the full step-by-step with any plan - 3Phase 2
Data Handling
Unlock the full step-by-step with any plan - 4Phase 3
Machine Learning
Unlock the full step-by-step with any plan - 5Phase 4
Deep Learning
Unlock the full step-by-step with any plan - 6Phase 5
Specializations
Unlock the full step-by-step with any plan - 7Phase 6
Generative AI
Unlock the full step-by-step with any plan - 8Phase 7
Data Engineering
Unlock the full step-by-step with any plan - 9Phase 8
MLOps
Unlock the full step-by-step with any plan - 10Phase 9
Cloud
Unlock the full step-by-step with any plan - 11Phase 10
Software Engineering
Unlock the full step-by-step with any plan - 12Phase 11
Portfolio
Unlock the full step-by-step with any plan - 13Phase 12
Interview Preparation
Unlock the full step-by-step with any plan
Related reading
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