Course Details

  • Home
  • / Course Details
img

9 Mar, 2025 6 days 15 Seats Available

KIT Training Point provides a demanding and unique AWS Solution Architect Training program that is tailored to the changing demands of the industry. This program is designed to give you the in-depth information and practical experience you need to become adept in developing systems on AWS that are scalable, dependable, and economical. With the help of professional coaching and hands-on training, you will acquire the abilities needed to succeed on the AWS Solution Architect certification test and develop your career in the cloud computing industry.

KIT Training Point offers an advanced Power BI training course designed to equip aspiring Business Intelligence Developers and Analysts with the skills needed to excel in data analytics. The course covers the use of Power BI to connect disparate data sources, manage company-wide data, and create interactive dashboards for data analysis. By utilizing secure and easy-to-understand interfaces, you will learn how to extract valuable business insights and influence business systems with data-driven decisions. With the growing demand for Power BI-certified professionals in the market, this training is an essential step for career growth in business intelligence and analytics.

Duration : 6 Day

Class Type : Physical, Online

Course Category : Cloud Computing & DevOps

Objectives of Course

  • Master Data Connectivity: Learn how to connect to and integrate data from multiple unrelated sources to create unified reports and dashboards.

  • Create Interactive Dashboards: Develop the skills to build dynamic, interactive dashboards for data analysis and visualization.

  • Understand Business Intelligence Tools: Gain a complete understanding of Power BI’s tools for reporting, visualization, and business analysis.

  • Data Management: Understand how to manage and process data effectively to derive actionable business insights.

  • Data Modeling and Transformations: Learn to model data using Power BI’s advanced features for better decision-making and data-driven strategies.

  • Report Automation: Master techniques for automating the creation and sharing of reports and visualizations.

  • Real-World Applications: Apply your knowledge through hands-on practice with real-world data, preparing you for actual business scenarios.

  • Certification Preparation: Prepare for industry-recognized certifications in Power BI, enhancing your career prospects in Business Intelligence and Data Analytics.

Why Choose KIT Training Point for This Course?

  1. Expert Instructors: Learn from industry professionals with extensive experience in Power BI and business intelligence tools.

  2. Comprehensive Curriculum: Our training program covers all aspects of Power BI, from basic data connectivity to advanced data visualization and reporting.

  3. Hands-on Training: Gain practical experience by working on real-world data and building interactive dashboards, reports, and data models.

  4. Industry-Relevant Skills: Equip yourself with in-demand skills in business intelligence and data analytics, highly valued in today’s job market.

  5. Career Growth Opportunities: Power BI certification is recognized globally, and completing our training prepares you for exciting career opportunities in data analysis, business intelligence, and beyond.

  6. Tailored Learning: Whether you’re a beginner or looking to enhance your skills, our flexible training caters to all experience levels, providing personalized support to ensure your success.

  7. Job-Ready Skills: By the end of the course, you’ll have the skills and confidence to create insightful business reports and contribute meaningfully to any data-driven organization.

  8. State-of-the-Art Facilities: Train in a modern learning environment with the latest tools and technologies to support your learning journey.

Syllabus Highlights

AWS Solution Architect Training Syllabus (45 Days) – KIT Training Point

Total Duration: 45 Days
Total Hours: 90 Hours (2 Hours per Day)


Module 1: Introduction to AWS & Solution Architecture (Day 1-5 | 10 Hours)

  • Introduction to AWS
    • Overview of AWS services
    • Regions, availability zones, and global infrastructure
    • Understanding AWS pricing and billing models
  • Solution Architect Overview
    • Roles and responsibilities of an AWS Solution Architect
    • AWS Well-Architected Framework: Security, Reliability, Performance Efficiency, Cost Optimization, Operational Excellence
    • Introduction to design principles and best practices in AWS architecture
  • Exploring AWS Management Console
    • Navigating AWS Console
    • Hands-on lab for familiarization with AWS interface

Module 2: Compute Services (Day 6-10 | 10 Hours)

  • Amazon EC2 (Elastic Compute Cloud)
    • EC2 instance types, AMIs, and Elastic IP
    • EC2 Launch and configuration best practices
    • Auto Scaling, Load Balancers, and High Availability
  • Elastic Beanstalk
    • Introduction to AWS Elastic Beanstalk
    • Deploying applications using Elastic Beanstalk
    • Environment management and monitoring
  • AWS Lambda & Serverless Architectures
    • Serverless computing concepts
    • Introduction to AWS Lambda
    • Creating and deploying serverless functions

Module 3: AWS Storage Services (Day 11-15 | 10 Hours)

  • Amazon S3 (Simple Storage Service)
    • S3 bucket creation, storage classes, and lifecycle policies
    • S3 security best practices (IAM policies, encryption)
    • S3 versioning and cross-region replication
  • Amazon EBS (Elastic Block Store) & EFS (Elastic File System)
    • EBS volumes and snapshots
    • Amazon EFS for scalable file storage
    • Integration of EBS and EFS with EC2 instances
  • Amazon Glacier & AWS Backup
    • Low-cost storage options (Glacier)
    • Backup strategies using AWS Backup

Module 4: Networking and Content Delivery (Day 16-20 | 10 Hours)

  • VPC (Virtual Private Cloud)
    • Introduction to VPC, subnets, and CIDR blocks
    • Route tables, internet gateway, and NAT gateways
    • Security groups and network ACLs
  • Elastic Load Balancing (ELB)
    • Configuring and managing ELB
    • Load balancing algorithms and use cases
  • Amazon CloudFront & Content Delivery
    • Overview of CloudFront for global content delivery
    • Setting up CloudFront distributions
    • Integrating CloudFront with S3 and EC2 instances

Module 5: Database Services (Day 21-25 | 10 Hours)

  • Amazon RDS (Relational Database Service)
    • RDS instance creation, backups, and scaling
    • Multi-AZ deployments for high availability
    • RDS security and encryption
  • Amazon DynamoDB
    • Introduction to NoSQL with DynamoDB
    • Creating and managing tables
    • Scaling DynamoDB and working with global tables
  • Amazon Redshift & AWS Aurora
    • Data warehousing with Amazon Redshift
    • Introduction to AWS Aurora
    • Setting up Aurora clusters and replication

Module 6: Security & Identity Management (Day 26-30 | 10 Hours)

  • IAM (Identity and Access Management)
    • User and group management, policies, and permissions
    • Multi-factor authentication (MFA)
    • Using IAM roles with EC2, Lambda, and other AWS services
  • AWS KMS (Key Management Service) & Encryption
    • Creating and managing encryption keys
    • Implementing encryption for S3, EBS, and RDS
  • AWS Security Best Practices
    • Shared responsibility model
    • VPC security, security groups, and NACLs
    • Using AWS Inspector and GuardDuty for vulnerability scanning

Module 7: Architecting Solutions for High Availability & Scalability (Day 31-35 | 10 Hours)

  • High Availability Architectures
    • Multi-Region and Multi-AZ architectures
    • Building fault-tolerant applications
    • Disaster recovery strategies in AWS
  • Scaling Architectures
    • Auto Scaling and Elastic Load Balancer integration
    • Scaling applications for performance and cost optimization
  • AWS Elastic Beanstalk for Web Applications
    • Best practices for deploying scalable web applications
    • Managing environments and rolling deployments

Module 8: Monitoring, Cost Management & Reporting (Day 36-40 | 10 Hours)

  • AWS CloudWatch
    • CloudWatch metrics, alarms, and logs
    • Monitoring EC2 instances and other AWS resources
    • CloudWatch dashboards and insights
  • AWS Cost Management Tools
    • AWS Cost Explorer and Cost Allocation Tags
    • Setting up billing alerts and budgets
    • AWS Trusted Advisor for cost optimization
  • AWS X-Ray & CloudTrail
    • Troubleshooting applications using X-Ray
    • Monitoring API activity with AWS CloudTrail

Module 9: Exam Preparation and Review (Day 41-45 | 10 Hours)

  • Overview of AWS Solution Architect Exam
    • Exam structure and domains
    • Key resources and study materials
    • Time management and strategies for exam day
  • Mock Exams and Review
    • First mock exam with analysis and review
    • Final mock exam with detailed feedback
  • Exam Tips & Best Practices
    • Best practices for tackling multiple-choice questions
    • Review of AWS services and core concepts

Course Features

  • Course duration 10 days
  • Total Lectures 30
  • Total Students 1000
  • Certification YES

Price - 20000