AI Model Deployment (AWS, Azure)
Deploy AI models to production using cloud platforms.
Duration
12 Months
Lectures
4
Projects
5
About this course
This course focuses on deploying machine learning and AI models into real-time production environments using AWS and Azure. Learners gain experience with APIs, Docker, scalability, and monitoring.
Level: advanced
Mode:
ONLINE
Available Shifts:
Morning
58000 7000017% Off
What you’ll learn
- Model deployment strategies
- REST API integration
- Docker & containerization
Career opportunities
- ML Ops Engineer
- AI Deployment Engineer
- Cloud AI Architect
Tools & technologies
AWS
Docker
Azure
Eligibility
Cloud computing aspirants
ML Engineers
AI Professionals
Services
Production deployment projects
Industry certification guidance
Hands-on cloud labs
Course Curriculum
Explore what you’ll learn in this course
Module 1
Deployment Basics
- Lecture 1: Model APIs
- Lecture 2: Dockerization
Module 2
Cloud AI
- Lecture 1: Model APIs
- Lecture 2: Dockerization
Certificate Preview
Sample certificate you’ll receive after completing this course
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Computer Vision & Image Processing
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Natural Language Processing (NLP)
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Deep Learning with TensorFlow / PyTorch
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Machine Learning (Supervised & Unsupervised)
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Statistics for Data Science
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Introduction to Machine Learning Concepts
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Data Analytics Fundamentals
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Python for AI & Data Science
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