AI & Machine Learning Engineering
Build Intelligent Systems & Applications
Become an AI engineer capable of building, training, and deploying machine learning models. This advanced program covers the complete ML pipeline from data preprocessing to production deployment. You'll work with deep learning frameworks, natural language processing, and computer vision while learning MLOps best practices.
Duration
6 Months
Salary Range
₹8 - 25 LPA
Level
Advanced
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Certification Options
Prepare for globally recognized certifications that validate your skills
Program Highlights
Core skills and competencies you will develop
Machine learning algorithms and mathematics
Deep learning with TensorFlow and PyTorch
Natural Language Processing (NLP)
Computer Vision fundamentals
Model optimization and deployment
MLOps and production systems
Course Curriculum
Comprehensive module-wise breakdown of the program
ML Foundations
- Linear algebra and statistics
- Supervised learning
- Unsupervised learning
- Model evaluation
- Feature engineering
- Scikit-learn
Deep Learning
- Neural network architecture
- CNNs for vision
- RNNs and LSTMs
- Transformers
- TensorFlow/PyTorch
- GPU training
NLP
- Text preprocessing
- Word embeddings
- Sequence models
- Attention mechanisms
- BERT and GPT
- Hugging Face
MLOps
- Model versioning
- Experiment tracking (MLflow)
- Model serving
- Docker for ML
- CI/CD for ML
- Monitoring and maintenance
Career Opportunities
Roles you can pursue after completing this program:
Expected Salary Range
₹8 - 25 LPA
*Based on industry standards and experience level
Prerequisites
Python proficiency. Statistics and linear algebra basics.
Hands-On Projects
- End-to-end ML pipeline
- NLP application
- Computer vision model
- Deployed ML system
Ready to Start Your Journey?
Join thousands of professionals who have advanced their careers with ETI Educom. Enroll now and take the first step towards your goals.