Extremely High DemandArtificial IntelligenceAdvanced
AI Engineer Career Path
Master Machine Learning, Deep Learning, NLP, and MLOps with Python, TensorFlow, and PyTorch to build and deploy AI systems in production.
📚 Free guidance: This roadmap shows you the complete learning path to become a AI Engineer. Click on any step to discover recommended courses and resources.
12-18 months
Total Duration
$120,000
Starting Salary
9
Learning Steps
Key Skills in This Domain
PythonMachine LearningDeep LearningTensorFlowPyTorchNLPComputer VisionMLOps
These are the core skills professionals in this domain typically master throughout their career journey.
1
Python & Mathematical Foundations
Intermediate4-6 weeks
Advanced PythonNumPyPandas+4 more
3 resources
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2
Machine Learning Fundamentals
Intermediate6-8 weeks
Supervised LearningUnsupervised LearningScikit-learn+3 more
3 resources
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3
Deep Learning & Neural Networks
Advanced8-10 weeks
Neural NetworksTensorFlowPyTorch+5 more
3 resources
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4
Computer Vision
Advanced5-6 weeks
OpenCVImage ProcessingObject Detection+4 more
3 resources
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5
Natural Language Processing
Advanced6-8 weeks
NLPNLTKspaCy+6 more
3 resources
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6
MLOps & Production Deployment
Advanced6-8 weeks
MLOpsDockerKubernetes+5 more
3 resources
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7
Advanced AI Systems
Expert8-10 weeks
Large Language ModelsReinforcement LearningAI Safety+4 more
3 resources
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Career Info
Learning Timeline10-14 months
Career Stages7
Experience LevelAdvanced
Market DemandExtremely High
Average Salary Range
$150,000 - $300,000
per year