Deep Learning On AWS in Richmond

Deep Learning on AWS Course Outline

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 should attend this Deep Learning on AWS Course?

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

Prerequisites of the Deep Learning on AWS Course

There are no formal prerequisites to attend the Deep Learning on AWS Training.

Deep Learning on AWS Course Overview

This Deep Learning on AWS Training is meticulously crafted to equip individuals with the expertise and capabilities required to thrive in the swiftly advancing realm of Deep Learning. Mastering Deep Learning models on Amazon Web Services (AWS) isn't just pertinent; it's pivotal for maintaining competitiveness and fueling innovative breakthroughs. Mastery of Deep Learning on AWS is imperative for Data Scientists, Machine Learning Engineers, and AI Practitioners.

This proficiency empowers them to harness AWS's robust cloud infrastructure effectively in creating, training, and deploying deep learning models at scale. Specifically designed for professionals seeking to excel in Deep Learning techniques and unlock the complete potential of AWS services for Machine Learning, this course is an ideal resource.

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.

Course Objectives

• 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

After completing this AWS Course, delegates will be well-prepared to take on intricate AI projects confidently. Armed with the expertise to create, deploy, and oversee Deep Learning models on AWS, they will become indispensable assets to their organisations.

What’s included in this Deep Learning on AWS Course?

• World-Class Training Sessions from Experienced Instructors
• Deep Learning on AWS Certificate
• Digital Delegate Pack