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Live Instructor-Led Classes
Hands-On Projects & Practice Labs
Certification & Interview Preparation
Career Guidance & Job Referrals
AWS: The cloud computing platform from Amazon that provides a large number of cloud services.
Cloud Computing: Access to servers, storage, network, and software over the internet.
IaaS: Infrastructure as a Service in which infrastructure including VMs, storage, and network is rented by customers.
PaaS: Platform as a Service in which platforms are used to develop and deploy applications without worrying about the servers.
SaaS: Software as a Service in which software is accessed through the internet.
Global Infrastructure: AWS has data centers in many countries.
Availability Zones: Different data centers within a region.
Regions: Places where data centers of AWS are situated.
Edge Locations: Global locations providing fast content delivery using CloudFront.
Cloud Adoption Statistics: There has been an increase in cloud adoption every year.
AI + Cloud Adoption: The Artificial Intelligence applications require strong cloud platforms such as AWS.
Multi Cloud Strategy: Several organizations adopt AWS along with other cloud platforms, leading to an increased demand for cloud experts.
Generative AI on AWS: AWS has modernized its services in order to develop Generative AI applications.
Job Market Growth in AWS: Jobs related to the cloud have grown tremendously within IT companies, startups, and even large corporations.
Pay Scale: Cloud professionals have a decent pay scale due to their skills and experience level.
Flexible Jobs: Many cloud jobs offer remote options to cloud professionals.
Large number of cloud services for varied business requirements.
Good security and identity management capabilities.
Excellent global reach with many regions.
Ability to scale up easily for any kind of application.
Payment according to resource usage.
Support for AI, Machine Learning, Big Data, IoT, and DevOps.
Regular upgrades with advanced cloud technologies.
High demand for AWS-certified professionals.
Community support for learning.
Good for beginners as well as experienced cloud engineers.
Cloud Computing Fundamentals
AWS Global Infrastructure
Amazon EC2
Amazon S3
Identity and Access Management (IAM)
Amazon VPC
Route 53
Elastic Load Balancer
Auto Scaling
Amazon RDS
DynamoDB
AWS Lambda
API Gateway
CloudFront
CloudWatch
CloudTrail
ECS and EKS
Storage Services
Networking
Cloud Security
Monitoring and Logging
Infrastructure Automation
Backup and Disaster Recovery
Serverless Computing
Cloud Migration
AI Services on AWS
Best Practices for Cloud Deployment
Introduction to Cloud Computing
Cloud Service Models (IaaS, PaaS, SaaS)
Public, Private & Hybrid Cloud
Benefits of Cloud Computing
AWS Global Infrastructure
Amazon EC2
Amazon S3
Amazon EBS
Elastic File System (EFS)
Amazon Glacier
AWS IAM
Users, Groups & Roles
Multi-Factor Authentication
Security Policies
Best Security Practices
Amazon VPC
Subnets
Internet Gateway
NAT Gateway
Route Tables
Security Groups
Network ACL
Amazon RDS
Amazon DynamoDB
Database Backup
Database Scaling
Elastic Load Balancer
Auto Scaling Groups
High Availability
Fault Tolerance
AWS Lambda
API Gateway
Amazon EventBridge
Step Functions
Amazon CloudWatch
AWS CloudTrail
Cloud Monitoring
Log Management
Amazon ECS
Amazon EKS
Docker Basics
CI/CD Introduction
Module 10: AI & Modern AWS Services
Amazon Bedrock
Amazon SageMaker Basics
Amazon Q
AI Applications on AWS
Migration Planning
Migration Tools
Cost Optimization
Disaster Recovery
Module 12: Real-Time Projects & Certification
Live Project
Case Studies
Mock Interviews
AWS Certification Preparation
Website Hosting on AWS: Host a complete website using Amazon EC2, S3, and Route 53.
Virtual Private Cloud Setup: Create a secure AWS network using VPC, Subnets, Security Groups, and Internet Gateway.
Serverless Web Application: Build a serverless application using AWS Lambda and API Gateway.
Cloud Storage Solution: Store, manage, and secure files using Amazon S3 with lifecycle policies.
Auto Scaling Infrastructure: Configure Auto Scaling and Load Balancer to handle changing traffic automatically.
Cloud Monitoring Project: Monitor AWS resources using CloudWatch and generate alerts for system performance.
AWS Security Project: Manage users, roles, permissions, and security policies using IAM.
Cloud Migration Project: Move an application from a local server to the AWS cloud environment.
Amazon EC2
Amazon S3
Amazon IAM
Amazon VPC
Amazon RDS
Amazon DynamoDB
AWS Lambda
Amazon CloudFront
Route 53
Elastic Load Balancer
Auto Scaling
Amazon CloudWatch
AWS CloudTrail
Amazon ECS
Amazon EKS
AWS CLI
AWS CloudFormation
Amazon Bedrock
Amazon SageMaker
Amazon Q
AI-powered cloud services
Amazon Bedrock for Generative AI
Amazon Q AI assistant
Improved cloud security features
Better serverless computing
Faster cloud storage options
Cost optimization tools
Advanced monitoring and logging
Modern container services
Latest cloud networking improvements
Step 1: Learn cloud computing basics and AWS fundamentals.
Step 2: Understand AWS core services like EC2, S3, IAM, and VPC.
Step 3: Practice networking, databases, storage, and cloud security.
Step 4: Build real-world AWS projects.
Step 5: Prepare for AWS certification exams.
Step 6: Attend mock interviews and improve your resume.
Step 7: Apply for cloud jobs and continue learning advanced AWS technologies.
AWS Cloud Engineer
Cloud Support Engineer
Cloud Administrator
AWS Solutions Architect
DevOps Engineer
Site Reliability Engineer (SRE)
Cloud Infrastructure Engineer
System Administrator
Cloud Security Engineer
Cloud Operations Engineer
Cloud Consultant
Technical Support Engineer
Fresher: 4 LPA to 7 LPA
1 to 3 Years: 7 LPA to 12 LPA
3 to 5 Years: 12 LPA to 18 LPA
5+ Years: 18 LPA to 35+ LPA
Entry-Level Roles: With foundational knowledge gained from AWS Cloud Computing Training, individuals can start their careers in entry-level positions such as Cloud Support Associate, Junior Cloud Engineer, or Cloud Solutions Architect Associate. These roles typically involve assisting in the implementation, deployment, and maintenance of cloud solutions.
Mid-Level Positions: As professionals accumulate experience and demonstrate proficiency in AWS Cloud Computing, they can progress to mid-level roles like Cloud Engineer, AWS Certified Developer Associate Training, or Cloud Solutions Architect. In these positions, individuals are responsible for designing, developing, and optimizing cloud infrastructure and applications to meet business objectives.
Leadership Roles: Experienced professionals with a proven track record in AWS Cloud Computing can advance to leadership positions such as Cloud Architect, Cloud Manager, or Director of Cloud Services. These roles involve strategic planning, decision-making, and overseeing the implementation of cloud solutions at an organizational level.
Entrepreneurship: Armed with comprehensive knowledge and expertise in AWS and cloud computing, individuals may choose to venture into entrepreneurship by starting their cloud consulting firm or offering specialized cloud services to clients. Entrepreneurial endeavors in the cloud computing space present opportunities for innovation, growth, and impact.
Continuous Learning: Career growth in AWS Cloud Computing is not static; it requires continuous learning and staying updated with the latest advancements in cloud technologies. Pursuing advanced certifications, attending industry conferences, and engaging in ongoing professional development activities are essential for sustained career progression in this dynamic field.
Experienced Trainers: Undergo training under certified AWS trainers who have industry experience.
Live Projects: Undertake live cloud projects that align with actual business needs.
Job Assistance: Avail placement support, interview scheduling, and career guidance.
Mock Interviews: Improve yourself through technical and HR mock interviews.
Resume Building: Create a professional resume that emphasizes your AWS skills and projects.
Learning Management System (LMS): Use study material, assignments, notes, and recorded sessions at any time.
Recorded Sessions: If you miss any class, watch recorded sessions at any time.
Certification Assistance: Receive comprehensive assistance for AWS certification exam.
Growing adoption of Generative AI on AWS
More companies moving applications to the cloud
Increased use of serverless computing
Rising demand for cloud security experts
Growth in container technologies like ECS and EKS
Higher adoption of DevOps with AWS
Increased focus on cloud cost optimization
More remote cloud engineering opportunities
AI-powered cloud management tools
Strong demand for certified AWS professionals
Amazon
Accenture
TCS
Infosys
Wipro
Capgemini
Cognizant
IBM
Deloitte
HCLTech
Tech Mahindra
LTIMindtree
Oracle
DXC Technology
PwC
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AWS is Amazon Web Services, a leading cloud computing platform offering various services like computing power and storage on a pay-as-you-go basis.
An AWS cloud Architect designs scalable and secure cloud solutions using AWS services to meet business needs.
No, it is suitable for anyone interested, including IT professionals, developers, analysts, and managers.
While coding knowledge can be beneficial, the course typically covers concepts that don't require extensive coding.
High demand exists for roles like cloud engineer and solutions architect due to increasing cloud technology adoption.

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