Amazon Web services (AWS) Course

USD 127
USD 64

Duration
01:56:50 hours

Access Time
Lifetime

Language
Arabic

Resources
(1)

USD 127
USD 64

Share on:

About the instructor

Dr. Maher Ezzat

AI Specialist, Data Scientist and Systems Analyst

A seasoned international education expert and British education consultant with extensive experience in artificial intelligence (AI), computational linguistics, and digital transformation. Proven track record as a consultant for top-tier educational institutions and ministries, including Oracle-certified database expert and SEI, IEEE certified in software engineering and project management. Expert in designing and implementing innovative educational methodologies and digital solutions for academic and vocational training. Adept at driving digital transformation in line with the requirements of the AI era, with a deep understanding of ATS-compliant recruitment processes, ensuring optimized applicant screening and selection.

Objectives of Amazon Web services (AWS) Course

The "Amazon Web Services (AWS)" training course aims to provide a comprehensive understanding of cloud computing using the AWS platform. It covers the core aspects of cloud computing, including different service models such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The course also focuses on various AWS services like computing, storage, networking, databases, data analytics, and artificial intelligence and machine learningAWS.

Planned Objectives:
By completing this course, trainees will achieve the following objectives:

Understanding Cloud Computing:

Learn the fundamental concepts and history of cloud computing.
Understand cloud computing benefits such as scalability, security, and ease of accessAWS.

Familiarization with AWS Core Services:

Learn about computing services like EC2 and AWS Lambda.
Explore storage solutions like S3, EBS, and GlacierAWS.

Practical Application of Cloud Services:

Build and manage cloud-based applications using AWS.
Utilize database services such as RDS, NoSQL, and IMSEAWS.

Data Analytics with AWS:

Discover analytics tools such as Amazon Athena and Redshift.
Understand how to apply big data analytics within the AWS environmentAWS.

Exploring AI and Machine Learning Technologies:

Leverage AI services like Amazon Rekognition and Amazon Polly.
Implement machine learning solutions using Amazon Machine LearningAWS.

You Will Learn

Educational Content of the Course:
Participants in this training program will gain a broad set of skills and knowledge related to Amazon Web Services (AWS), including:

Understanding Cloud Computing Fundamentals:

Introduction to cloud computing and its significance in modern business.
Exploring core service models like IaaS, PaaS, and SaaS.
Recognizing key benefits such as availability, flexibility, and scalabilityAWS.

Working with AWS Cloud Computing Services:

Utilizing computing services such as Amazon EC2 for flexible computing and AWS Lambda for serverless computing.
Learning how to deploy and manage applications in a cloud environmentAWS.

Managing and Securing Data with AWS:

Exploring storage services like Amazon S3 for object storage, EBS for block storage, and Glacier for archival storage.
Applying best practices for data security and protection in AWSAWS.

Handling Cloud Networking:

Understanding services like VPC (Virtual Private Cloud) to create secure virtual networks.
Using load balancing tools like Elastic Load Balancer (ELB) for performance optimization.
Managing domain name systems (DNS) with Route 53AWS.

Working with Cloud Databases:

Learning about Amazon RDS for relational databases and DynamoDB for NoSQL databases.
Enhancing performance using ElastiCache for caching solutionsAWS.

Big Data Analytics:

Exploring data analytics tools such as Amazon Athena and Amazon Redshift.
Applying analytics techniques to improve decision-making using AWSAWS.

Artificial Intelligence and Machine Learning with AWS:

Utilizing AI services like Amazon Rekognition for image and video recognition.
Using Amazon Polly for text-to-speech conversion.
Implementing machine learning solutions through AWS servicesAWS.

Targeted Students

This training course is designed to cater to a diverse range of learners who wish to acquire essential cloud computing skills using Amazon Web Services (AWS), including:

IT Professionals:

Cloud infrastructure engineers seeking to enhance their skills in managing cloud systems.
IT managers looking to understand how AWS can optimize enterprise performanceAWS.

Developers and Software Engineers:

Application developers aiming to learn how to deploy cloud applications using services like EC2 and Lambda.
Software engineers interested in building scalable applications with AWSAWS.

University Students and Academics:

Students specializing in computer science and IT who want to deepen their knowledge of cloud computing.
Academics and researchers requiring AWS solutions to support their research projectsAWS.

Entrepreneurs and Startups:

Individuals looking to leverage AWS for scaling their businesses and providing reliable technical solutions.
Startup owners needing a robust and flexible infrastructure to develop their tech projectsAWS.

Data Analysts and AI Specialists:

Analysts aiming to learn how to use AWS tools for big data analytics.
AI specialists exploring machine learning solutions provided by AWSAWS.

Technical Project Managers:

Managers who want to understand how to implement and oversee tech projects using AWS cloud infrastructure.
Project coordinators looking to leverage AWS services to meet strategic goalsAWS.