Deep Learning on AWS Training

Live Online & Classroom Enterprise Training

Learn how to design, build, train, and deploy deep learning models using AWS services such as Amazon SageMaker, EC2, S3, and AI/ML tools.

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What is Deep Learning on AWS Course about?

This course provides hands-on knowledge of implementing deep learning solutions on the AWS cloud. Learners will explore neural networks, model training, optimization, and deployment using Amazon SageMaker and other AWS AI services. The training bridges theoretical deep learning concepts with real-world cloud-based implementation.

What are the objectives of Deep Learning on AWS Course ?

Understand deep learning fundamentals
Use Amazon SageMaker for model development
Build and train neural network models
Deploy and monitor ML models on AWS
Optimize model performance and cost

Who is Deep Learning on AWS Course for?

Data science professionals
Machine learning engineers
Cloud architects and developers
AI enthusiasts and researchers
Software engineers moving into AI/ML

What are the prerequisites for Deep Learning on AWS Course?

Prerequisites:

Basic Python programming knowledge
Understanding of machine learning concepts
Familiarity with cloud computing basics
Knowledge of statistics and linear algebra
Basic AWS service awareness

Learning Path:

Introduction to Deep Learning & AWS AI stack
Data preparation using S3 and AWS tools
Model building with SageMaker notebooks
Training, tuning, and evaluating models
Deployment, monitoring, and MLOps basics

Related Courses:

Machine Learning on AWS
AWS Certified Machine Learning Specialty
Python for Data Science
Introduction to Artificial Intelligence

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

Module 1: Introduction to Deep Learning on AWS

Deep Learning on AWS

Module 2: Deep Learning Process for Build, Train, and Deploy

Collect Data

Choose and Optimise Your Algorithm

Set Up and Manage the Environment for Training

Train, Retrain, and Tune the Models

Deploy Models in Production

Scale and Manage the Production Environment

Module 3: Challenges with Deep Learning Projects

Software Management

Performance Optimisation

Collaborative Development

Infrastructure Management

Scalability

Module 4: Highly Optimised AWS Technology Building Blocks for Deep Learning

Storage

Compute

Software

Networking and Solutions

Module 5: Code, Data, and Model Versioning

Version Code with Git

Version Data in Amazon S3

Version Model in Amazon S3

Module 6: Automation of Deep Learning Process for Retrain and Redeploy

AWS Step Functions for Amazon SageMaker

Apache Airflow for Amazon SageMaker

Kubeflow Pipelines on Kubernetes

Module 7: Patterns for Deep Learning at Scale

Options for Deep Learning on AWS

Use Amazon SageMaker

Use Kubernetes with Kubeflow on AWS

Use Amazon EC2

Who is the instructor for this training?

The trainer for this Deep Learning on AWS Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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