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Deep Learning on AWS — brochure
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Assure Success
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Assure SuccessCourse brochure 2026Train and deploy deep learning models using Amazon SageMaker and GPU instances
Course fee
₹26,999₹40,499
Enroll online at assuresuccess.in or call +91 93517 82674
Scan to view the course and enroll · Fees as on 28 Oct 2026
About the course
Deep Learning on AWS shows how to move deep learning work from a laptop to scalable cloud infrastructure. You will learn the main ideas behind neural networks, then train models using frameworks such as PyTorch and TensorFlow on GPU-enabled EC2 instances and Amazon SageMaker.
The course covers preparing data in S3, building models for image and text tasks, running SageMaker training jobs, tuning hyperparameters, tracking experiments, and deploying models to real-time and batch endpoints. We introduce AWS-designed accelerators like Trainium and Inferentia at a conceptual level, discuss distributed training and managed Spot training, and show how to monitor deployed models and control costs.
There is no exam in this course. AWS offers machine learning credentials such as the Machine Learning Engineer - Associate; because AWS exam offerings change, check the current exam guide on the AWS site before you plan. Delivery is live, instructor-led and online.
From notebook to production
Learn the steps after the model works on your laptop.
Hands-on with GPUs
Practise on real accelerated instances with guidance on cost.
Framework flexibility
Bring your PyTorch or TensorFlow code to SageMaker.
Project outcome
Finish with a trained and deployed model.
Curriculum
Deep Learning Refresher
Rebuild the core concepts.
Frameworks and Environment
Set up a working environment.
Computer Vision Models
Train an image model.
NLP Models
Work with text.
SageMaker Training Jobs
Scale training with managed infrastructure.
Tuning, Experiments and Distributed Training
Improve and compare runs.
Deployment and Inference
Serve predictions.
Monitoring, Security and Cost
Operate ML responsibly.
Your certificate
Enrol in a live batch and attend the instructor-led sessions
Complete the training and deployment labs
Present your capstone model and deployment
Receive an Assure Success course-completion certificate after meeting attendance and capstone requirements
Neural network fundamentals
Explain layers, activation functions, loss, backpropagation and overfitting.
Framework use
Build and train models with PyTorch and TensorFlow.
GPU infrastructure
Choose GPU instance types and use Deep Learning AMIs and containers.
SageMaker training
Run managed training jobs with your own scripts and manage data from S3.
Tuning and experiments
Use automatic model tuning and experiment tracking to compare runs.
Distributed training
Understand data and model parallelism and managed Spot training.
Model deployment
Deploy real-time, serverless and batch inference endpoints.
Monitoring and cost
Track model quality and data drift and keep GPU spend under control.
Your future
Careers after this course
Machine Learning Engineer₹8–22 LPA (approx.)
Builds, trains and deploys ML models in production.
Deep Learning Engineer₹9–24 LPA (approx.)
Works on neural network models for vision or language tasks.
Data Scientist (cloud)₹7–20 LPA (approx.)
Experiments and models at scale on cloud platforms.
Expert trainers
Certified instructors with real project experience.
Exam practice
Practice questions and mock tests.
Flexible batches
Weekday and weekend batches.
Exam support
Help with eligibility, vouchers and booking.
Ready to get certified?
Course fee ₹26,999. Enroll at assuresuccess.in/course/deep-learning-on-aws
📞 +91 93517 82674✉️ info@assuresuccess.in💬 WhatsApp +91 93517 82674
Assure Success. Exam details are set by the certifying body and may change — check the official website before booking. All trademarks belong to their owners.