Cloud Computing with AWS SysOps Administrator
(Bedrock, SageMaker, IaC, Gen AI, Agentic AI, CloudWatch, DynamoDB, Lambda concepts, and EC2 Compute)
The AWS SysOps Administrator Course equips learners with the skills to deploy, manage, and operate workloads on AWS effectively. It covers core services like EC2, S3, VPC, IAM, and CloudWatch, along with automation, monitoring, and troubleshooting techniques. Designed for IT professionals aiming to manage AWS environments, the course blends theory with hands-on labs. It also prepares participants for the AWS Certified SysOps Administrator – Associate exam.
About the Instructor:
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Dr. Pooja – Certified AWS Corporate Trainer | Cloud Solutions Expert Dr. Pooja is a 10+ of highely experienced including Teaching and Corporate training and trainer specializing in Amazon Web Services (AWS) and cloud technologies. With a strong academic background and a doctorate to her name, she brings a unique combination of deep theoretical knowledge and hands-on expertise to her sessions. Her approach to teaching is rooted in simplicity, clarity, and real-world application, making complex cloud concepts easy to grasp for learners at all levels. Over the years, Dr. Pooja has successfully delivered numerous corporate training programs, workshops, and bootcamps for professionals across various industries. Her engaging teaching style, combined with practical demonstrations and case studies, ensures her students are not just certified but truly skilled in applying AWS services in real-time projects. |
Live Sessions Price:
For LIVE sessions – Offer price after discount is 129 USD 109 119 USD Or USD15000 INR 13000 INR 9900 Rupees.
OR
Free Demo On:
19th August @ 9 PM – 10 PM (IST) (Indian Timings)
19th August @11:30 AM – 12:30 PM (EST) (U.S Timings)
19th August @ 4:30 PM – 5:30 PM (BST) (UK Timings)
Class Schedule:
For Participants in India: Monday to Friday 9 PM – 10 PM (IST)
For Participants in the US: Monday to Friday 11:30 AM – 12:30 PM (EST)
For Participants in the UK: Monday to Friday 4:30 PM – 5:30 PM (BST)
What students have to say about the Trainer:
Brilliant course with excellent coverage of daily AWS SysOps tasks. The instructor’s examples made complex concepts very clear. Perfect for both beginners and experienced admins.
The hands-on labs made even the most complex AWS services easy to understand. I learned how to manage EC2, S3, VPCs, and IAM roles in a practical way. The instructor explained everything in simple terms, making it easier to apply in real-world scenarios. I could directly implement these skills in my current job. The troubleshooting and automation topics were especially valuable. I now feel fully confident handling AWS SysOps responsibilities on my own.
Step-by-step guidance helped me overcome my fear of AWS services. I appreciated how the instructor linked theory with hands-on practice. The labs were realistic and very useful for skill-building. This course has been a turning point in my career development.
The course was clear, structured, and beginner-friendly. Real-world examples helped me pass my SysOps exam on the first attempt. Highly recommended for AWS learners.
Before this course, AWS felt overwhelming. Puja broke down each concept into simple steps and made it feel achievable. Now I’m confident in my SysOps skills.
This course is a complete package for anyone aiming for the AWS SysOps exam. The trainer explained even the most complex topics like VPC peering and CloudWatch in a very simple way. The hands-on labs helped me gain real-world skills, not just theory.
The course was well-structured and easy to follow. I especially appreciated the detailed explanation of IAM and cost optimization strategies, which are crucial for any SysOps role.
An excellent course for anyone preparing for the AWS SysOps exam. The trainer’s way of explaining IAM, EC2, and VPC concepts made even complex topics easy to grasp. The hands-on labs were a game changer for me. I can now confidently manage AWS environments in my work.
Salient Features:
- 45 Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
Who can enroll in this course?
- Fresh graduates looking to build a strong foundation in AWS cloud operations
- IT professionals aiming to shift to cloud-based roles
- System Administrators & Network Engineers wanting to upskill with AWS SysOps
- DevOps engineers who want a deeper understanding of AWS infrastructure
- Cloud beginners interested in AWS Certifications (SysOps Administrator – Associate level)
- Working professionals preparing for AWS SysOps Certification
- Organizations looking to train their internal teams on AWS deployment & monitoring
- Non IT people who want to transition to cloud Roles
- What will I Learn by the end of this course?:
- Understand Linux fundamentals essential for AWS administration
- Gain hands-on experience with EC2, S3, IAM, VPC, CloudWatch, and more
- Configure security, networking, storage, and compute resources in AWS
- Monitor and troubleshoot AWS infrastructure effectively using CloudWatch & CloudTrail
- Implement automation using CloudFormation, Terraform, and Python Boto3
- Set up Auto Scaling and Load Balancers to handle traffic dynamically
- Manage databases using RDS, Aurora, DynamoDB, and ElastiCache
- Optimize cloud cost and improve performance using AWS tools
- Learn how to use AWS Bedrock and SageMaker for Generative AI use cases (BONUS)
- Be fully prepared to take the AWS Certified SysOps Administrator – Associate exam
- Non IT people who want to transition to cloud Roles
Course syllabus:
✅ Module 1 – Introduction to Linux and Shell Scripting [MANDATORY]
- Difference between Windows, MACOS and Linux
- History of Unix and Linux
- Advantages of Linux over Other OS.
- Linux Distributions
- Commands and File systems
- Test Basic Command in Linux
- Vim editor
- Other File Editors
- Permission Commands
- Sudo
- Creating Files and Folders
- Removing, Coping and Moving
- Memory and Process related Commands
- Working with files.
✅ Module 02 – Introduction to Cloud Computing
- Definition of Cloud computing?
- Introduction to Virtualization in AWS (From BareMetal to Xen Hypervisor)
- Types of Cloud Services and Deployment models
- Various cloud Computing services by AWS
- Tour of AWS Management Dashboard Console
- Concept of Virtual Servers and Virtual Machines.
- Shared Responsibility Model & AWS Acceptable Policy
✅ Module 03– IAM Security and Management for SysOps
- Use of Access management.
- Amazon Resource Name (ARN) and IAM features
- IAM Introduction: Users, Groups, Policies
- IAM MFA Hands On, JSON Policy Generator
- IAM Access Keys and Security Credentials.
- AWS CLI Setup on Windows
- IAM policies, IAM Roles and IAM permissions
- IAM Cloud Shell
- Introduction to CloudWatch, Metrics and Namespaces.
- CloudWatch architecture and Dashboards in CW
- CloudWatch Alarms , alarm states and logging.
- Overview of CloudTrail.
- Overview of CloudFront and SDN.
✅ Module 04 – Elastic Compute for SysOps
- Introduction to Regions and Availability Zones (AZs)
- Create an EC2 Instance with EC2 User Data to have a Website Hands On (Launch an EC2 Instance)
- EC2 instance types
- Security Groups Hands on & Classic Ports Overview
- Introduction to Networking, Public IP, Private IP and Elastic IP.
- IP Address Charges in AWS
- EC2 Instance Status Checks Hands On
- Introduction to AMIs, creating and copying an AMI
- SSH Overview and Troubleshooting
- Instance tenancy- Reserved and Spot instances
- Introduction to Elastic Block Storages and Volume types
- EBS Snapshots and EBS Multi Attach
- EFS Access Points
- Introduction to EFS File Systems, Mounting and Handson
✅ Module 05 – Virtual Private Cloud, Subnets and Networking
- Introduction to Amazon VPC?
- Subnets and CIDR notations
- Components of VPC – Network interfaces, route tables, internet gateway, NAT
- Security in VPC – Security groups and NACL, types of VPC, what is a subnet, VPC peering with scenarios, VPC endpoints.
- Overview of AWSConnect.
✅ Module 06 – Storage – Simple Storage Service (S3)
- AWS S3 Overview
- Objects in S3, metadata and storage classes
- Security: Bucket Policy Hands On
- Object Versioning Hands On
- Cross-Region Replication Hands On
- IAM Access Analyzer for S3
- Static website Overview and Hands On
- data encryption, connecting using VPC endpoint, S3 pricing.
- AWS Snow Family Overview and Hands On
- AWS Snow Family Hands On
✅ Module 07 – Load Balancing, Autoscaling, and DNS
- ELB Overview.
- Types of ELB – Classic, Network, and Application
- Introduction to ASG Sysops, vertical and horizontal scaling and the lifecycle of Auto Scaling
- Components of Auto Scaling, types of scaling options.
- Using load balancer with Auto Scaling
- Route 53 – How DNS Resolver works and Routing Policies.
✅ Module 08 – Infrastructure as Code (IaC)
- Introduction to IaC and tools
- Concept of CloudFormation Template (CFT)
- Resources, parameters and Functions
- CloudFormation-Mappings
- Rollbacks
- Troubleshooting
- Introduction to HashiCorp Terraform
- Modules and State files in Terraform
- Variables and Switch
- Handling Outputs
- Remote Modules
- Introduction to Simple Notification Service, working of SNS service
- Introduction to Simple Emailing Service, working of SES service
- Introduction to Simple Queuing Service, working of SQS service.
✅ Module 09 – Automation and Configuration Management
- Concept of Serverless Lambda Service
- How is Lambda different from EC2?
- Benefits and Limitations of Lambda
- Use cases of Lambda, Lambda concepts
- Integrating S3 with Lambda
- Python Boto3 Concept and Hands On.
✅ Module 10 – Databases (Relational and Non-Relational)
- Concept of Relational and Non-relational databases in AWS
- Introduction to Amazon RDS and its features
- Multi-AZ deployments
- Concept of Standby and Read replicas in RDS
- Introduction to Amazon Aurora, benefits of Aurora and its pricing.
- Briefing of DynamoDb and its hands on
- Concept of Elasticcache and Redshift
✅ Module 11 – Cost and Performance Optimization
- Implement cost allocation tagging
- Cost monitoring tools (Trusted Advisor, Cost Explorer, Budgets).
✅BONUS
- Sessions related to GENERATIVE AI AWS TOOLS will be covered at the end.
- Introduction to Agentic AI
- AWS BEDROCK and AWS SageMaker (with Hands ON)