AI/ML Architect
Master AI and Machine Learning Architecture, deep learning, generative AI, MLOps, model deployment, cloud AI solutions, and enterprise machine learning systems through advanced practical train
Course Description
The AI/ML Architect Training Program is designed for professionals who want to develop advanced skills in designing, implementing, and managing enterprise artificial intelligence and machine learning solutions.
Students will explore AI and machine learning fundamentals, advanced Python, supervised and unsupervised learning, deep learning, neural networks, natural language processing, and generative AI. The course covers machine learning architecture, model development, feature engineering, model evaluation, deployment, and MLOps.
Learners will also understand how to design scalable AI systems, integrate machine learning models into applications, manage model lifecycles, and implement responsible AI practices.
Through industry-oriented projects, participants will gain practical experience in designing end-to-end AI/ML solutions for real-world business problems.
Trainer
N
Navdeep Singh
Data Analytics and Enterprise Data Architecture
20 years experience
Experienced Data Analytics Trainer with expertise in transforming raw data into actionable business insights. Skilled in data visualization, statistical analysis, business intelligence, and reporting....
Technologies Covered
Artificial Intelligence
Machine Learning
Python
Scikit-learn
TensorFlow
PyTorch
Deep Learning
Neural Networks
Natural Language Processing
Generative AI
Large Language Models
MLOps
MLflow
Docker
Cloud AI Services
Model Deployment
Feature Engineering
Projects
- Enterprise Machine Learning Architecture
- Customer Churn Prediction System
- End-to-End MLOps Pipeline Development
- Generative AI Application Development
- Intelligent Recommendation System
- AI-Based Predictive Analytics Solution