Amazon AWS Solution Architect Training in Abuja

Godstime Edet
Godstime Edet
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About Course

OVERVIEW – AMAZON AWS SOLUTIONS ARCHITECT TRAINING IN ABUJA

The AWS Solutions Architect Training at Neo Cloud Training Institute prepares students with the knowledge and hands-on skills required to design, deploy, and manage secure, robust, and scalable applications on AWS. This program provides foundational and advanced insights into Amazon Web Services, focusing on real-world architecture design patterns, best practices, and the core concepts essential for the AWS Certified Solutions Architect certification. Students will explore high availability, disaster recovery, fault tolerance, automation, hybrid architectures, and more.

With businesses increasingly relying on cloud infrastructure, the role of the AWS Solutions Architect has become indispensable. This program combines theoretical concepts with practical labs, enabling students to understand not just how to set up services but why specific AWS services are essential to meet different business needs. The course covers topics ranging from VPC networking and compute services to data storage, content delivery, database solutions, and identity management, giving participants a holistic view of the AWS ecosystem.

OBJECTIVE OF THE COURSE
The primary goal of this training program is to empower students to excel in cloud architecture roles by developing a thorough understanding of AWS services and architecture best practices. Specific objectives include:

– Teaching cloud computing concepts and AWS core services to build secure and scalable applications
– Enabling students to design architectures that meet high availability, fault tolerance, and disaster recovery requirements
– Providing hands-on experience with AWS tools for compute, storage, database, and networking solutions, enabling students to handle a variety of workloads
– Equipping students to apply cost management, monitoring, and security best practices in real-world scenarios
– Preparing students to pass the AWS Certified Solutions Architect exam and pursue a successful career in cloud solutions architecture

LEARNING OUTCOME
By the end of this course, students will be able to:

Understand AWS core services and architecture patterns to design robust and scalable applications
Build secure VPCs, establish identity management practices, and optimize costs with monitoring and budgeting tools
Implement high availability and disaster recovery using multi-AZ and multi-region designs
Use IaC (Infrastructure as Code) to automate AWS deployments, manage migrations, and create hybrid architectures
Apply AWS best practices for performance optimization, security, and compliance

WHO NEEDS THIS COURSE?
This course is ideal for IT professionals, network engineers, system administrators, software developers, and anyone interested in becoming an AWS Solutions Architect or expanding their cloud skills.

DURATION/COST
Duration: 3 months
Total Classes: 48
Total Hours: 108
Schedule: 3 days per week

DETAILED COURSE CONTENT
This AWS Solutions Architect training course provides a blend of theoretical knowledge and practical application, ensuring students gain the skills needed to excel as cloud architects and succeed in the AWS certification exam. Below are the various topics that will be covered:

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Syllabus

Week 1: Introduction to Cloud Computing and AWS

  • Fundamentals of cloud computing
    00:00
  • AWS Global Infrastructure and core concepts
    00:00
  • Solutions Architect role overview, course structure, and objectives
    00:00

Week 2: Designing High Availability and Fault-Tolerant Architectures

Week 3: Multi-AZ and Multi-Region Architectures

Week 4: Storage Solutions and Data Management

Week 5: Networking Basics and VPC Fundamentals

Week 6: Advanced Networking and Content Delivery

Week 7: Compute Services and EC2 Fundamentals

Week 8: Scaling Architectures and Serverless Solutions

Week 9: Database Solutions and Management

Week 10: Security and Identity Management

Week 11: Data Protection and KMS

Week 12: Monitoring, Logging, and Optimization

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