AWS Trainings
Companies need people with cloud skills to transform their businesses. AWS Training and Certification will help you build and validate your skills so you can get the most out of the cloud.
Architecting on AWS
With Architecting on Aws training; You will identify best practices for the AWS architecture. You will also be able to identify the services and features required to build durable and secure IT solutions in the AWS Cloud.
✓ The training is 3 days 18 hours.
Big Data on AWS
With Big Data on AWS; Learn how to leverage Apache Hadoop in the context of Amazon EMR as you fit AWS solutions into the big data ecosystem. Use the most common programming frameworks available for Amazon EMR.
✓ The training is 3 days 18 hours.
Architecting on AWS - Accelerator
Make decisions based on AWS architectural principles and best practices with this course. Take advantage of AWS services to make your infrastructure reliable and highly available. Reduce your cost while improving your performance.
✓ The training is 5 days 30 hours.
Advanced Architecting on AWS
How to secure Amazon Simple Storage Service (Amazon S3) virtual private cloud (VPC) endpoint connections in a lab environment. Best practices for what services to use and how to implement permissions management
✓ The training is 3 days 18 hours.
Building Data Lakes on AWS
With Building Data Lakes training; Learn how to create an AWS data lake and secure it with the appropriate permission. Learn how to store and transform data in your data lake.
✓ The training is 1 day 6 hours.
Data Warehousing on AWS
Analyze the relationship between Amazon Redshift and other big data systems. Master the real-world place of AWS data and analytics services as part of the data warehouse solution.
✓ The training is 3 days 18 hours.
DevOps Engineering on AWS
Learn to leverage the best practices of DevOps to develop and maintain applications and services on AWS much faster. List the benefits and roles of DevOps teams.
✓ The training is 3 days 18 hours.
Advanced Developing on AWS
Apply Twelve-Factor Application manifesto concepts and steps while migrating from a monolithic architecture. Recommend the appropriate AWS services to develop a microservices-based, cloud-native application.
✓ The training is 3 days 18 hours.
Deep Learning on AWS
Define machine learning and deep learning. Identify the concepts in a deep learning ecosystem. Leverage Amazon SageMaker and MXNet programming frameworks for deep learning workloads.
✓ The training is 1 day 6 hours.
Developing on AWS
With this training; Learn how to configure AWS Identify and Access Management permissions to support the development environment, and how to set up multiple programming patterns to access AWS services.
✓ The training is 3 days 18 hours.
Security Engineering on AWS
Assimilate and leverage the AWS shared security responsibility model. Architect and build AWS application infrastructures that are protected against the most common security threats. Protect data at rest and in transit with encryption.
✓ The training is 3 days 18 hours.
MLOps Engineering on AWS
How to deploy your own models in the AWS Cloud. How to automate workflows for building, training, testing, and deploying ML models. The different deployment strategies for implementing ML models in production.
✓ The training is 3 days 18 hours.
Practical Data Science with Amazon SageMaker
With this training; Learn how to prepare a dataset, train and evaluate a machine learning model, and auto-generate a machine learning model.
✓ The training is 1 day 6 hours.
Building Data Analytics Solutions Using Amazon Redshift
Compare the features and benefits of data warehouse, data lakes, and modern data architectures. Design and implement a data warehouse analytics solution.
✓ The training is 1 day 6 hours.
Developing Serverless Solutions on AWS
Apply event-driven best practices to a serverless application design using appropriate AWS services. Identify the challenges and trade-offs of transitioning to serverless development, and make recommendations that suit your development organization and environment.
✓ The training is 3 days 18 hours.
Systems Operations on AWS
You will learn to automate resource distribution using AWS services such as AWS CloudFormation and AWS Service Catalog, and to use Amazon CloudWatch and related features such as alarms, dashboards, widgets, to monitor the Cloud environment.
✓ The training is 3 days 18 hours.
Planning and Designing Databases on AWS
Apply database concepts, database management, and data modeling techniques. Evaluate hosting databases on Amazon EC2 instances. Evaluate relational AWS database services and their features. (Amazon RDS, Amazon Aurora, and Amazon Redshift)
✓ The training is 3 days 18 hours.
The Machine Learning Pipeline on AWS
Select and justify the appropriate ML approach for a given business problem. Use the ML pipeline to solve a specific business problem. Train, evaluate, deploy, and tune an ML model in Amazon SageMaker.
✓ The training is 4 days 24 hours.
AWS Security Essentials
Identify security benefits and responsibilities when using the AWS Cloud. Describe the access control and management features of AWS. Understand the different data encryption methods to secure sensitive data. Describe how to secure network access to your AWS resources.
✓ The training is 1 day 6 hours.
Migrating to AWS
Recognize the common business and technical drivers for migrating to the cloud. Summarize the three phases of a migration and associated objectives, tasks, and stakeholders for each. Describe AWS architecture, tools, and migration best practices.
✓ The training is 3 days 18 hours.
Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)
Review and examine containers, Kubernetes, and Amazon EKS fundamentals—and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes.
✓ The training is 3 days 18 hours.