

Deep Learning On AWS - India
- Offered byThe knowledge academy
Deep Learning On AWS - India at The knowledge academy Overview
Duration | 1 day |
Start from | Start Now |
Total fee | ₹19,995 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Deep Learning On AWS - India at The knowledge academy Highlights
- Earn a certificate from The Knowledge Academy
- With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success
Deep Learning On AWS - India at The knowledge academy Course details
This Deep Learning on AWS Training is designed for professionals who want to gain expertise in Deep Learning techniques and apply them using Amazon Web Services tools and resources. This AWS Certification Training Course can be beneficial to a wide range of professionals, including:
- Data Scientists
- Machine Learning Engineers
- AI Researchers
- Deep Learning Engineers
- Software Developers
- Data Analysts
- Computer Vision Engineers
- To master the fundamentals of Deep Learning
- To understand the AWS ecosystem for Machine Learning
- To learn to preprocess and prepare data for Deep Learning models
- To build and train Deep Learning models using AWS SageMaker
- To deploy Deep Learning models to AWS for real-world applications
- To gain insights into model optimisation and best practices
- To explore AWS's cost-effective solutions for Deep Learning projects
- To apply Deep Learning skills to solve real-world business challenges
The Knowledge Academy’s intensive 1-day training, focused on AWS Certifications, empowers delegates with the practical knowledge and hands-on experience needed to navigate the intricate realm of Deep Learning on AWS confidently. Delegates will acquire a profound comprehension of AWS services, including SageMaker, EC2, and S3, and master the effective implementation of Deep Learning algorithms.
This course is also available in other delivery mode
Deep Learning On AWS - India at The knowledge academy Curriculum
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