Who can Join?

Beginners: Individuals who are new to cloud computing and AWS services can start with foundational courses designed to introduce basic concepts and practical skills.

1. IT Professionals: Those already working in IT roles, such as system administrators, network engineers, developers, and database administrators, can benefit from specialized courses that deepen their understanding of AWS services.

2. Developers: Software developers interested in cloud-based application development can leverage AWS courses focused on serverless computing, DevOps practices, and container orchestration.

3. Business Leaders: Executives, managers, and decision-makers can participate in courses tailored to understanding the strategic implications of AWS for their organizations, such as cost management and governance.

Requirements and Prerequisites

1. Technical Knowledge: Depending on the level of the course, familiarity with fundamental IT concepts like networking, storage, and databases may be beneficial.

2. Specific Course Prerequisites: Some advanced AWS courses may have specific prerequisites in terms of prior AWS knowledge, programming skills (like Python, Java), or experience with related technologies (e.g., Docker, Kubernetes).

3. AWS Account: For hands-on labs and exercises, participants usually need an AWS account. Some introductory courses provide temporary AWS accounts or use AWS's free tier to minimize costs.

Demand for AWS Skills

1. Growing Industry Adoption: Many organizations across various industries are migrating their infrastructure and applications to the cloud, with AWS often being a preferred choice due to its robust services and global presence.

2. Diverse Job Roles: AWS skills are sought after for a wide range of roles including cloud architects, cloud engineers, DevOps engineers, solutions architects, developers, database administrators, and more.

3. Global Opportunities: AWS is a global platform, and job opportunities exist worldwide, not limited to specific regions. Companies of all sizes, from startups to multinational corporations, use AWS services.

Job Roles and Titles

1. Cloud Architect: Responsible for designing and implementing cloud-based solutions using AWS services, ensuring scalability, security, and cost-effectiveness.

2. DevOps Engineer: Focuses on automating deployment, scaling, and management of applications on AWS infrastructure using tools like AWS CloudFormation, AWS CodePipeline, etc.

3. Solution Architect: Designs solutions using AWS services to meet business requirements, often involving designing architectures that are scalable, resilient, and cost-efficient.

4. Developer: Builds applications and services that utilize AWS resources, integrating with AWS SDKs and APIs, and leveraging AWS services like Lambda, S3, DynamoDB, etc.

1. Scalability:

• Advantage: AWS provides scalable computing capacity through services like Amazon EC2, allowing businesses to scale up or down based on demand quickly.
• Application: Businesses can handle varying workloads, seasonal spikes, or sudden increases in traffic without worrying about infrastructure capacity.

2. Reliability:

• Advantage: AWS operates with a high level of reliability and availability. It offers SLAs (Service Level Agreements) for many services, ensuring uptime and continuity.
• Application: Critical applications and services can run smoothly without interruptions, reducing downtime and maintaining business operations.

3. Security:

• Advantage: AWS implements robust security measures to protect data, applications, and infrastructure. This includes physical security, data encryption, and compliance certifications.
• Application: Businesses can store sensitive data securely in AWS, ensuring confidentiality and meeting regulatory requirements.

4. Flexibility and Agility:

• Advantage: AWS provides a wide range of services and configurations, allowing businesses to choose the resources and tools that best fit their needs.
• Application: Development teams can experiment, innovate, and deploy applications quickly using AWS services like AWS Lambda (serverless computing) and AWS CodePipeline (CI/CD).

5. Cost-effectiveness:

• Advantage: AWS offers a pay-as-you-go pricing model with no upfront costs or long-term commitments. It also provides cost management tools to monitor and optimize spending.
• Application: Businesses can reduce capital expenditures on hardware and infrastructure, paying only for the resources they use, which is particularly beneficial for startups and small businesses.

6. Global Reach:

• Advantage: AWS has a global infrastructure with multiple Availability Zones and Regions worldwide, providing low-latency access to services for global users.
• Application: Companies can deploy applications closer to end-users to improve performance and provide a consistent user experience globally.

7. Innovation:

• Advantage: AWS continuously introduces new services and updates existing ones, enabling businesses to adopt cutting-edge technologies such as AI, machine learning, and IoT.
• Application: Businesses can innovate and differentiate themselves in the market by integrating advanced technologies into their products and services.

Web Applications and Websites:

• Host websites and web applications using Amazon EC2, Amazon S3 for static content, and AWS Lambda for serverless applications.

1. Data Storage and Backup:

• Store and manage data securely with Amazon S3 for scalable object storage and Amazon Glacier for long-term archival storage.

2. Big Data Analytics:

• Process and analyze large datasets using services like Amazon EMR (Elastic MapReduce), Amazon Redshift for data warehousing, and Amazon Athena for interactive query analysis.

3. Machine Learning and AI:

• Build and deploy machine learning models using Amazon SageMaker, and integrate AI capabilities with Amazon Recognition for image and video analysis.

4. IoT (Internet of Things):

• Connect and manage IoT devices securely with AWS IoT Core, and process and analyze IoT data with AWS IoT Analytics.

5. Enterprise Applications:

• Run enterprise applications such as SAP, Oracle, and Microsoft workloads on AWS using services like Amazon RDS, Amazon EC2, and AWS Lambda.

6. DevOps and CI/CD:

• Implement DevOps practices with AWS tools like AWS Code Pipeline, AWS Code Deploy, and AWS Code Commit for continuous integration and deployment.

7. Media and Entertainment:

• Stream and deliver media content globally with Amazon CloudFront (CDN) and manage media workflows with AWS Elemental Media Services.

8. Healthcare and Life Sciences:

• Store and analyze healthcare data securely with HIPAA-compliant services like Amazon Comprehend Medical and Amazon Health Lake.

9. Financial Services:

• Ensure security and compliance with services like AWS Key Management Service (KMS) and AWS Artifact, and analyze financial data with AWS Lake Formation.

1. Compute Services:

• Amazon EC2 (Elastic Compute Cloud): Virtual servers in the cloud, resizable compute capacity.
• AWS Lambda: Serverless compute service, run code without provisioning or managing servers.

2. Storage Services:

• Amazon S3 (Simple Storage Service): Object storage service, scalable, durable, and secure.
• Amazon EBS (Elastic Block Store): Persistent block storage volumes for EC2 instances.

3. Database Services:

• Amazon RDS (Relational Database Service): Managed relational database service supporting multiple database engines.
• Amazon DynamoDB: Fully managed NoSQL database service, fast and flexible with seamless scalability.

4. Networking:

• Amazon VPC (Virtual Private Cloud): Isolated cloud resources, subnets, route tables, and network gateways.
• AWS Direct Connect: Dedicated network connection from on-premises to AWS.

5. Security and Identity:

• AWS IAM (Identity and Access Management): Manage user access to AWS services and resources securely.
• AWS Shield: DDoS protection service.
• AWS WAF (Web Application Firewall): Protect web applications from common web exploits.

6. Monitoring and Management:

• AWS CloudWatch: Monitor AWS resources and applications, collect and track metrics, set alarms.
• AWS CloudTrail: Record AWS API calls for audit and compliance purposes.

7. Developer Tools:

• AWS Code Pipeline: Continuous integration and continuous delivery (CI/CD) service.
• AWS Code Commit: Source control service, store code securely in the cloud.

8. Artificial Intelligence and Machine Learning:

• Amazon SageMaker: Build, train, and deploy machine learning models at scale.
• Amazon Recognition: Deep learning-based image and video analysis.

9. Analytics:

• Amazon Redshift: Fast, fully managed, petabyte-scale data warehouse service.
• Amazon Athena: Interactive query service to analyze data in Amazon S3 using standard SQL.

10. Serverless Computing:

• AWS Lambda: Run code without provisioning or managing servers, pay only for the compute time consumed.

11. Containers:

• Amazon ECS (Elastic Container Service): Highly scalable, high-performance container orchestration service.
• Amazon EKS (Elastic Kubernetes Service): Managed Kubernetes service.

12. Internet of Things (IoT):

• AWS IoT Core: Managed cloud service to connect IoT devices securely to the cloud.

13. Game Development:

• Amazon Game Lift: Deploy, operate, and scale dedicated game servers for session-based multiplayer games.

14. Blockchain:

• Amazon Managed Blockchain: Create and manage scalable blockchain networks.

15. Cost Management:

• AWS Cost Explorer: Visualize, understand, and manage AWS costs and usage over time.

16. Migration and Transfer:

• AWS Snowball: Petabyte-scale data transport solution to transfer data into and out of AWS.
• AWS Database Migration Service: Migrate databases to AWS with minimal downtime.

17. Enterprise Integration:

• Amazon MQ: Managed message broker service for Apache ActiveMQ.
• Amazon AppStream 2.0: Secure, managed application streaming service.

1. Introduction to AWS:

• Overview of cloud computing concepts.
• Introduction to AWS services and their benefits.

2. Compute Services:

• Amazon EC2: Instances, AMIs, instance types, pricing models.
• AWS Lambda: Serverless computing, event-driven architecture.

3. Storage Services:

• Amazon S3: Object storage, buckets, lifecycle management.
• Amazon EBS: Block storage, volumes, snapshots.

4. Database Services:

• Amazon RDS: Managed relational databases (MySQL, PostgreSQL, etc.).
• Amazon DynamoDB: NoSQL database service, key-value and document data models.

5. Networking:

• Amazon VPC: Networking isolation, subnets, route tables, NAT gateways.
• AWS Direct Connect: Dedicated network connection to AWS.

6. Security and Identity:

• AWS IAM: Users, groups, roles, policies.
• AWS Security Groups and NACLs (Network Access Control Lists).

7. Monitoring and Management:

• AWS CloudWatch: Monitoring AWS resources, metrics, alarms.
• AWS CloudTrail: Audit logs of AWS account activity.

8. Developer Tools:

• AWS Code Pipeline, AWS Code Commit, AWS Code Deploy: CI/CD pipelines, source control, deployment automation.

9. Artificial Intelligence and Machine Learning:

• Amazon Sage Maker: Building, training, and deploying machine learning models.
• Amazon Recognition: Image and video analysis using deep learning.

10. Analytics:

• Amazon Redshift: Data warehousing, analytics at scale.
• Amazon Athena: Interactive query service for analyzing data in S3.

11. Serverless Computing:

• AWS Lambda: Serverless application development, event-driven architecture.

12. Containers:

• Amazon ECS: Container orchestration, managing Docker containers at scale.
• Amazon EKS: Managed Kubernetes service.

13. Internet of Things (IoT):

• AWS IoT Core: Securely connect and manage IoT devices.

14. Blockchain:

• Amazon Managed Blockchain: Create and manage scalable blockchain networks.

15. Cost Management:

• AWS Cost Explorer: Analyze and manage AWS costs effectively.

16. Migration and Transfer:

• AWS Snowball: Physical data transfer, large-scale data migration.
• AWS Database Migration Service: Database migration with minimal downtime.

17. Enterprise Integration:

• Amazon MQ: Managed message broker service.
• Amazon AppStream 2.0: Application streaming for desktop applications.
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Online Weekend Sessions: 12-14 | Duration: 55 to 60 Hours

1. Introduction to AW6

• Overview of cloud computing concepts
• Introduction to AWS services and their benefits
• Understanding the AWS Global Infrastructure (Regions, Availability Zones)

2. Compute Services

• Amazon EC2 (Elastic Compute Cloud): Instances, AMIs, instance types, pricing models
• AWS Lambda: Serverless computing, event-driven architecture

3. Storage Services

• Amazon S3 (Simple Storage Service): Object storage, buckets, lifecycle management
• Amazon EBS (Elastic Block Store): Block storage, volumes, snapshots

4. Database Services

• Amazon RDS (Relational Database Service): Managed relational databases (MySQL, PostgreSQL, etc.)
• Amazon DynamoDB: NoSQL database service, key-value and document data models

5. Networking

• Amazon VPC (Virtual Private Cloud): Networking isolation, subnets, route tables, NAT gateways
• AWS Direct Connect: Dedicated network connection to AWS

6. Security and Identity

• AWS IAM (Identity and Access Management): Users, groups, roles, policies
• AWS Security Groups and NACLs (Network Access Control Lists)

7. Monitoring and Logging

• AWS CloudWatch: Monitoring AWS resources, metrics, alarms
• AWS CloudTrail: Audit logs of AWS account activity

8. Deployment and Management

• AWS Elastic Beanstalk: Platform as a Service (PaaS) for deploying web applications
• AWS OpsWorks: Configuration management service

9. Automation and Orchestration

• AWS CloudFormation: Infrastructure as Code (IaC), templates, stacks
• AWS Code Pipeline, AWS Code Deploy: Continuous integration and continuous deployment (CI/CD)

10. Additional Services

• AWS SNS (Simple Notification Service): Pub/Sub messaging
• AWS SQS (Simple Queue Service): Managed message queues
• AWS Kinesis: Data streaming service

11. Best Practices and Cost Management

• AWS Well-Architected Framework: Design principles for building secure, high-performing, resilient, and efficient infrastructure
• Cost optimization strategies and AWS pricing models

12. Case Studies and Hands-On Labs

• Practical examples and use cases demonstrating the integration of AWS services
• Hands-on labs to gain practical experience with AWS console and CLI