Extremely High DemandAdvanced
AI Engineer
Master Machine Learning, Deep Learning, NLP, and MLOps with Python, TensorFlow, and PyTorch to build and deploy AI systems in production.
10-14 months
7 Steps
$150k - $300k
Key Technologies
PythonMachine LearningDeep LearningTensorFlowPyTorchNLPComputer VisionMLOps
Your Progress0 / 7 completed
Learning Path
1.
Python & Mathematical Foundations
Master Python for AI and essential mathematics: linear algebra, statistics, and calculus.
Advanced PythonNumPyPandasLinear AlgebraCalculusStatisticsProbability
4-6 weeks
2.
Machine Learning Fundamentals
Learn essential ML algorithms and their implementation with scikit-learn.
Supervised LearningUnsupervised LearningScikit-learnModel EvaluationFeature EngineeringCross-validation
6-8 weeks
3.
Deep Learning & Neural Networks
Master neural networks with TensorFlow and PyTorch to create complex models.
Neural NetworksTensorFlowPyTorchCNNRNNLSTMBackpropagationRegularization
8-10 weeks
4.
Computer Vision
Specialize in computer vision with OpenCV and advanced CNN architectures.
OpenCVImage ProcessingObject DetectionFace RecognitionYOLOTransfer LearningGANs
5-6 weeks
5.
Natural Language Processing
Master modern NLP with Transformers, BERT, and Large Language Models.
NLPNLTKspaCyTransformersBERTGPTHugging FaceText ClassificationSentiment Analysis
6-8 weeks
6.
MLOps & Production Deployment
Learn to deploy, monitor, and maintain ML models at scale.
MLOpsDockerKubernetesMLflowKubeflowModel ServingCI/CD for MLModel Monitoring
6-8 weeks
7.
Advanced AI Systems
Explore cutting-edge technologies: LLMs, Reinforcement Learning, and AI Safety.
Large Language ModelsReinforcement LearningAI SafetyRAG SystemsVector DatabasesFine-tuningPrompt Engineering
8-10 weeks