Cloud Solutions Architect and Platform Engineering
Go from senior engineer to cloud architect in 20 weeks.
Master AWS architecture patterns, pass the Solutions Architect Professional exam.
Master AWS architecture patterns, pass the Solutions Architect Professional exam.
DevOps Engineer
- Follow patterns
- Tactical execution
- Team/Project Scope
- Implement predefined architectures
- Technical focus
- Work within constraints
Platform Engineer
- Bridge tactical and strategic execution
- Focus on developer experience
- Build internal developer platforms (IDPs)
- Standardize development workflows
- Enable self-service capabilities
- Scale engineering productivity
Solutions Architect
- Create patterns
- Strategic planning
- Organization scope
- Architect new solutions
- Design system blueprints
- Business + technical focus
- Define constraints and trade-offs
Training Levels
Our training is focused on quick recap of 100 level and focuses on giving you confidence on 400 level. So you can transition to architect level roles.
100
Fundamentals (Optional for Experienced)
Basic concepts and introductory topics. Optional sessions for professionals who are new to DevOps or want to refresh core foundations before advancing.
200
Hands-On Practice
Simple examples and practical exercises to get your hands dirty. Build confidence with core tools.
300
Solutions Design
Advanced patterns and architectural decision-making. Learn to design system blueprints, evaluate trade-offs, and answer "Should we build this?" not just "How do we build this?"
400
Enterprise Solutions Mastery
Mentorship with SMEs building production-ready systems. Includes enterprise-grade capstone projects with business impact analysis and trade-off decisions.
Go from DevOps ($160-190K) → Platform Engineering ($180-220K) → Cloud Architect ($200-300K)
DevOps
Platform Engineering
Cloud Architect
India (₹)
Europe (€)
USA ($)
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This is how we make your interview prep structured and organized. Our learners spend 10-12 hours each week on this course.
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Thursday and Sunday
Online live classes
- High quality study material
- Live instructor lead sessions
- Theory and Capstone Projects
- Thursday (2Hrs)
- Sunday (4Hrs)
Sunday
Office hours
- Live doubt-solving with FAANG+ instructors
- Individualized and detailed attention to your questions
Monday
Foundation sessions
- Classes focused on basics (level 100) for professionals who are new to DevOps
Get Full Access
DevSecOps Foundation
(10 weeks)
- AWS Solutions Architect Associate
- Python for DevOps
- Terraform Infrastructure as Code
- Kubernetes
- DevSecOps pipelines
- Enterprise-grade capstone projects
Platform Engineering & Solutions Architecture
(10 weeks)
- AWS Solutions Architect Professional (8 domains)
- Platform Engineering MVP
- Internal Developer Platform
- Enterprise architecture pattern
- System design
- Enterprise-grade capstone projects
Career Transformation & Placement
(34 weeks)
- Interview Prep (5 weeks):6 mock interviewsResume optimization
- Career Coaching (4 weeks):6 mock interviews1:1 mentoring
- 6-Month Support (25 weeks):LinkedIn optimizationFortune 500 referralsSalary negotiation
Part 1: DevSecOps Syllabus
Onboarding and Pre-requisites
Getting Started
- Goal-setting session by Program Manager
- Orientation session
- Prerequisites overview and getting started guide
Course Requirements
- Essential Knowledge:
- Basic Linux commands (ls, cd, mkdir, etc.)
- Fundamental programming skills (ability to write a "Hello World" application in any language)
Module 1 (Week 1):
Linux, Networking, and Computer Systems
‣ Operating Systems
‣ Linux Deep Dive
‣ Computer Networks
‣ Shell Scripting Mastery
‣ Linux Deep Dive
‣ Computer Networks
‣ Shell Scripting Mastery
DevOps and Cloud Use Cases
- 1. Enterprise System Management
- Configure and maintain Linux systems to optimize performance and automate admin tasks.
- 2. Network Setup and Optimization
- Manage complex network configurations to ensure secure, efficient connectivity.
- 3. Deployment Troubleshooting
- Resolve deployment issues quickly to minimize downtime and ensure smooth rollouts.
- 4. Proactive Network Troubleshooting
- Diagnose and fix network issues to boost server and application performance.
- 5. Task Automation
- Automate repetitive tasks to increase efficiency and reduce manual intervention.
- 6. System Maintenance and Monitoring
- Automate system checks and maintenance for consistent performance.
- 7. CI/CD Integration
- Augment modern GitOps workflows by using shell scripts for task automation, environment setup, and debugging within CI/CD pipelines.
What You Will Learn:
1. Enterprise System Management: Configure and maintain Linux systems to optimize performance and automate admin tasks.
2. Network Setup and Optimization: Manage complex network configurations to ensure secure, efficient connectivity.
3. Deployment Troubleshooting: Resolve deployment issues quickly to minimize downtime and ensure smooth rollouts.
4. Proactive Network Troubleshooting: Diagnose and fix network issues to boost server and application performance.
5. Task Automation: Automate repetitive tasks to increase efficiency and reduce manual intervention.
6. System Maintenance and Monitoring: Automate system checks and maintenance for consistent performance.
7. CI/CD Integration: Augment modern GitOps workflows by using shell scripts for task automation, environment setup, and debugging within CI/CD pipelines.
2. Network Setup and Optimization: Manage complex network configurations to ensure secure, efficient connectivity.
3. Deployment Troubleshooting: Resolve deployment issues quickly to minimize downtime and ensure smooth rollouts.
4. Proactive Network Troubleshooting: Diagnose and fix network issues to boost server and application performance.
5. Task Automation: Automate repetitive tasks to increase efficiency and reduce manual intervention.
6. System Maintenance and Monitoring: Automate system checks and maintenance for consistent performance.
7. CI/CD Integration: Augment modern GitOps workflows by using shell scripts for task automation, environment setup, and debugging within CI/CD pipelines.
Module 2 (Week 2-4):
AWS Solutions Architect Associate
Compute Services
- EC2 - Elastic Compute Cloud
- Lambda - Serverless Functions
- Fargate - Serverless Containers
Load Balancing
- Application Load Balancer (ALB)
- Network Load Balancer (NLB)
Networking
- VPC - Virtual Private Cloud
- Amazon CloudFront - Content Delivery Network
- Route53 - DNS Service
Storage
- Amazon EBS and EFS - Block and File Storage
- Amazon S3 - Object Storage
Database Services
- RDS - Relational Database Service
- DynamoDB - NoSQL Database
- Aurora - High-Performance Database
- Redshift - Data Warehouse
Security Services
- Identity and Access Management (IAM)
- Secrets Manager
- Key Management Service (KMS)
- Certificate Manager (ACM)
Monitoring and Logging
- Amazon CloudWatch
- AWS CloudTrail
- Application Integration
- Amazon SQS - Standard/FIFO queues
- Amazon SNS - Pub/Sub messaging
- Amazon EventBridge - Event-driven architecture
- AWS Step Functions - Workflow orchestration
Analytics & Data Processing
- Amazon Athena - S3 data querying
- Amazon Kinesis - Real-time streaming
- AWS Glue - ETL services
- Amazon EMR - Big data proce
What You Will Learn:
Compute and Load Balancing
- Design resilient compute architectures using EC2, Lambda, and Fargate. Implement Elastic Load Balancing for high availability across multiple Availability Zones.
Networking
- Architect secure VPC environments with CloudFront for global content delivery and Route 53 for DNS resolution and health checks.
Storage
- Select appropriate storage services based on access patterns. Implement EBS for block storage, EFS for file systems, and S3 with lifecycle policies.
Database
- Design database solutions using RDS Multi-AZ, DynamoDB for NoSQL, Aurora for enterprise applications, and Redshift for analytics.
Security
- Implement IAM with least privilege, configure encryption using KMS, manage secrets with Secrets Manager, and deploy certificates through ACM.
Monitoring and Logging
- Establish monitoring using CloudWatch metrics and alarms. Implement audit trails with CloudTrail for compliance and governance.
Application Integration
- Design loosely coupled architectures using SQS, SNS, EventBridge, and Step Functions for workflow orchestration.
Analytics & Data Processing
- Process data using Athena for querying, Kinesis for streaming, Glue for ETL, and EMR for big data processing.
AWS SAA-C3 Exam Readiness
- This curriculum prepares you for the AWS Certified Solutions Architect Associate (SAA-C03) exam through hands-on practice with real AWS services and real-world scenarios. You'll master AWS terminology, service patterns, and architectural decision-making skills that appear on the certification exam, building both exam confidence and practical cloud architecture expertise.
Module 3 (Week 5-6):
Python for DevOps
- Introduction to Python Programming
- Control Flow and Error Handling
- Functions and Advanced Concepts
- Data Structures and File Operations
- Cloud Management and Automation
What You Will Learn:
Task Automation
- Learn to integrate Policy as Code frameworks for automated compliance checks and governance, significantly reducing manual effort and operational overhead.
Cloud Management
- Gain expertise in using Python libraries like Boto3 for seamless AWS resource provisioning and management. Implement Infrastructure as Code patterns and automated cloud governance policies, enabling efficient cloud operations and infrastructure control.
Cloud Administration
- Develop skills in managing cloud infrastructure programmatically through Policy as Code and Security as Codeimplementations. Automate deployment pipelines, security compliance checks, cost optimization, and infrastructure governance using DevOps frameworks.
Module 4 (Week 6):
Terraform – Infrastructure as Code(IaC)
- Terraform Fundamentals and Configuration
- State Management and Backends
- Modules and Code Organization
- Advanced Provisioning Patterns
- Enterprise CI/CD Integration
What You Will Learn:
Infrastructure Provisioning
- Design and deploy scalable cloud infrastructure using declarative syntax for consistent, repeatable resource creation.
State Management
- Implement remote backends, state locking, and collaborative workflows for safe team-based infrastructure changes.
Modular Architecture
- Create reusable modules for common infrastructure patterns, promoting standardization across enterprise deployments.
Advanced Resource Management
- Handle complex dependencies, conditional logic, and lifecycle management with data sources and dynamic blocks.
CI/CD Integration
- Integrate Terraform into automated pipelines using GitOps practices with plan validation and controlled deployments.
Security and Compliance
- Implement infrastructure security best practices and manage sensitive data through policy-as-code frameworks.
Enterprise Scaling
- Design architectures for large-scale environments with workspace management and governance frameworks.
Module 5 (Week 7-8):
DevSecOps
GitHub and GitOps
Secure SDLC and CI/CD pipeline
- Secure SDLC Activities and Security Gates
- Security Requirements (Requirements)
- Threat Modelling (Design)
- Static Analysis and Secure by Default (Implementation)
- Dynamic Analysis(Testing)
- OS Hardening, Web/Application Hardening (Deploy)
- Security Monitoring/Compliance (Maintain)
DevSecOps Maturity Model (DSOMM)
- How to go from Maturity Level 1 to Maturity Level 4
Pentesting and Vulnerability Assessment
Software Component Analysis (SCA) in CI/CD pipeline
- Embedding SCA tools like OWASP Dependency Checker, Safety, RetireJs and NPM Audit, Snyk into the pipeline.
SAST (Static Analysis) in CI/CD pipeline
- Embedding SAST tools like Find Bugs into the pipeline.
DAST (Dynamic Analysis) in CI/CD pipeline
Vulnerability Management with custom tools
What You Will Learn:
- Secure Pipeline Design: Implement security gates throughout the SDLC from requirements gathering to production deployment, ensuring comprehensive protection at every stage.
- Automated Security Testing: Integrate SAST, DAST, and SCA tools like OWASP Dependency Checker, Snyk, and FindBugs into CI/CD pipelines for continuous vulnerability detection.
- Threat Modeling and Risk Assessment: Design secure architectures using systematic threat modeling techniques and implement security-by-default practices in application development.
- DevSecOps Maturity Progression: Advance organizational security posture from DSOMM Level 1 to Level 4 through structured assessment and improvement frameworks.
- GitOps Security Integration: Implement secure GitOps workflows with automated compliance checks, policy enforcement, and audit trails for infrastructure and application deployments.
- Vulnerability Management: Build custom vulnerability management solutions and establish continuous monitoring frameworks for security compliance and incident response.
- Hardening and Compliance: Apply OS and application hardening techniques while maintaining automated compliance monitoring for regulatory requirements and security standards.
Module 6 (Week 8-10):
Docker and Kubernetes
Container Technologies
- Docker - Containerization Platform
- Kubernetes (EKS) - Container Orchestration
GitOps and Deployment
- ArgoCD - GitOps Continuous Delivery
- Flux - GitOps Toolkit
Monitoring and Observability
- Grafana - Visualization Platform
- Prometheus - Metrics and Monitoring
Kubernetes Ecosystem
- Karpenter - Node Autoscaling
- Helm - Package Manager
- Service Mesh (Istio/Linkerd)
- Kubernetes Operators (MongoDB, Kafka)
Storage Solutions
- Longhorn - Distributed Storage
- Portworx - Enterprise Storage
Networking
- Calico - Network Security
- Cilium - eBPF-based Networking
Security and Management
- Kubernetes Security
- Rancher - Multi-cluster Management
Logging and Cost Optimization
- ELK Stack - Elasticsearch, Logstash, Kibana
- Cost Optimization Strategies
What You Will Learn:
- 1. Enterprise Container Strategy: Make informed decisions between managed vs self-hosted solutions, understanding cost-benefit trade-offs for enterprise-scale deployments.
- 2. GitOps Tool Selection: Compare leading GitOps platforms and select the right solution based on organizational requirements and team capabilities.
- 3. Production Monitoring Architecture: Design scalable observability solutions that provide actionable insights for enterprise workloads and complex distributed systems.
- 4. Enterprise Autoscaling Decisions: Evaluate Karpenter's node provisioning against Cluster Autoscaler limitations, implementing cost-effective scaling for enterprise workloads with mixed instance types and spot instances.
- 5. Service Mesh Evaluation: Choose appropriate service mesh solutions based on security requirements, performance needs, and operational complexity considerations.
- 6. Enterprise Storage Architecture: Evaluate cloud-native storage solutions for persistent workloads, comparing distributed storage platforms against cloud provider storage classes for data resilience and performance.
- 7. Stateful Workload Management: Assess when to use Kubernetes operators versus managed cloud services for critical enterprise data systems and applications.
- 8. Enterprise Networking Design: Select and configure networking solutions that meet enterprise security, compliance, and performance standards.
- 9. Multi-Cluster Governance: Implement centralized management and cost optimization strategies across distributed Kubernetes environments.
Part 2: Solutions Architecture & Platform Engineering
Course Duration: 10 Weeks
Prerequisite: Everyone progresses here after Track 1 (DevSecOps) completion
Goal: AWS Solutions Architect Professional + Platform Engineering skills
Goal: AWS Solutions Architect Professional + Platform Engineering skills
Modules 1-4: AWS Solutions Architect Professional
Module 1 (Weeks 1-2):
Designing Compute & Storage Solutions
Core AWS Professional Domains:
- Designing Compute Solutions in AWS
- Designing Storage Solutions in AWS
Compute Services Deep Dive:
- Advanced EC2 Patterns & Optimization
- Lambda & Serverless Architectures
- Container Services (ECS, Fargate, EKS)
- Auto Scaling & Load Balancing
Compute Services Deep Dive:
- S3 Advanced Features & Storage Classes
- EBS Performance & Optimization
- EFS & FSx for High-Performance Workloads
- Storage Gateway & Hybrid Solutions
Professional Architecture Use Cases
High-Performance Computing
- Design compute clusters for scientific workloads using EC2 HPC instances, placement groups, and enhanced networking.
Container Platform Architecture
- Build production container platforms using EKS with advanced networking, storage, and auto-scaling.
Data Lake Storage Architecture
- Design petabyte-scale data lakes using S3 with intelligent tiering, lifecycle policies, and analytics integration.
Hybrid Storage Solutions
- Implement seamless hybrid storage using Storage Gateway for on-premises integration with cloud storage.
What you'll master:
- Advanced Compute Patterns: Design high-performance, cost-optimized compute solutions using the full range of AWS compute services.
- Storage Architecture: Create sophisticated storage solutions that balance performance, durability, and cost across different access patterns.
- Container Orchestration: Build production-ready container platforms with proper networking, security, and scaling strategies.
- Performance Optimization: Apply advanced techniques for optimizing compute and storage performance at scale.
- Hybrid Architecture: Design seamless integration between on-premises infrastructure and AWS cloud services.
- Cost Optimization: Implement intelligent cost optimization across compute and storage using AWS pricing models and automation.
- Disaster Recovery: Design comprehensive backup and recovery strategies across compute and storage infrastructure.
Module 2 (Weeks 3-4):
Database & Network Solutions
Core AWS Professional Domains:
- Designing Database Solutions in AWS
- Designing Network and Data Transfer Solutions in AWS
Database Services Deep Dive:
- RDS Multi-AZ & Cross-Region
- Aurora Global Database & Serverless
- DynamoDB Advanced Patterns
- Database Migration & Modernization
Networking Deep Dive:
- Advanced VPC Design & Transit Gateway
- Direct Connect & VPN Solutions
- CloudFront & Global Acceleration
- Network Security & Segmentation
Professional Architecture Use Cases
Global Database Architecture
- Design multi-region database solutions using Aurora Global Database with cross-region disaster recovery.
Database Migration at Scale
- Plan and execute complex database migrations using DMS with minimal downtime strategies.
Global Network Architecture
- Build global networking solutions using Transit Gateway, Direct Connect, and CloudFront for optimal performance.
Network Security Design
- Implement sophisticated network security using VPC flow logs, security groups, and network ACLs.
What you'll master:
- Database Architecture: Design highly available, performant database solutions across relational and NoSQL platforms.
- Global Database Strategy: Implement multi-region database architectures with automated failover and disaster recovery.
- Network Design: Create sophisticated network architectures that optimize performance, security, and cost.
- Data Transfer Optimization: Design efficient data transfer solutions for large-scale data movement and content delivery.
- Network Security: Implement comprehensive network security strategies including micro-segmentation and monitoring.
- Hybrid Connectivity: Design secure, high-performance connections between on-premises and cloud environments.
- Performance Engineering: Optimize database and network performance for demanding enterprise workloads.
Module 3 (Weeks 5-6):
Security & Management Solutions
Core AWS Professional Domains:
- Designing Secure Solutions in AWS
- Architecting for Management and Governance in AWS
Security Deep Dive:
- Advanced IAM & Identity Federation
- Data Protection & Encryption
- Security Monitoring & Incident Response
- Compliance & Audit Frameworks
Management & Governance:
- AWS Organizations & Control Tower
- Resource Management & Tagging
- Cost Management & Optimization
- Operations & Monitoring
Professional Architecture Use Cases
Zero-Trust Security Architecture
- Design comprehensive security frameworks using IAM Identity Center, GuardDuty, and Security Hub.
Enterprise Governance
- Implement organization-wide governance using AWS Organizations, Control Tower, and Service Catalog.
FinOps Implementation
- Create sophisticated cost management and optimization strategies using Cost Explorer and Budgets.
Operational Excellence
- Design comprehensive monitoring and operations frameworks using CloudWatch, Systems Manager, and Config.
What you'll master:
- Advanced Security Design: Implement sophisticated security architectures including zero-trust networking and identity federation.
- Compliance Framework: Design systems that meet complex regulatory and compliance requirements across multiple frameworks.
- Governance Strategy: Implement organization-wide governance policies and controls using AWS management services.
- Cost Engineering: Create advanced cost optimization strategies including automated cost controls and chargeback mechanisms.
- Security Automation: Build automated security monitoring, incident response, and remediation workflows.
- Risk Management: Design comprehensive risk management frameworks for cloud infrastructure and applications.
- Operational Excellence: Implement advanced monitoring, alerting, and operational procedures for large-scale environments.
Module 4 (Weeks 7-8):
Advanced Solutions & Migration
Core AWS Professional Domains:
- Implementing Effective Cost Management Solutions in AWS
- Designing for Disaster Recovery and High Availability in AWS
Advanced Solutions:
- Cost Optimization Strategies
- Reserved Instance & Savings Plans
- Disaster Recovery Planning
- Business Continuity Design
Migration & Modernization:
- Application Migration Strategies
- Database Migration Patterns
- Modernization Frameworks
- Legacy System Integration
Professional Architecture Use Cases
Enterprise Cost Optimization
- Design comprehensive cost optimization strategies using advanced pricing models and automation.
Disaster Recovery Architecture
- Create sophisticated DR solutions with RTO/RPO requirements and automated failover.
Application Modernization
- Lead modernization projects transforming monolithic applications to cloud-native architectures.
Enterprise Migration
- Plan and execute large-scale enterprise migrations using AWS migration frameworks and tools.
What you'll master:
- Cost Architecture: Design sophisticated cost optimization strategies that balance performance, availability, and cost.
- Disaster Recovery: Implement comprehensive disaster recovery solutions meeting stringent RTO and RPO requirements.
- Migration Leadership: Lead complex migration projects using proven methodologies and AWS migration tools.
- Modernization Strategy: Transform legacy applications to cloud-native architectures using containers and serverless.
- Business Continuity: Design business continuity solutions that ensure operations during various failure scenarios.
- Financial Operations: Implement FinOps practices including cost allocation, budgeting, and optimization automation.
- Architecture Evolution: Design systems that can evolve and modernize continuously while maintaining operational excellence.
Modules 5: Platform Engineering
Module 5 (Weeks 9-10):
Platform Engineering MVP to IDP Roadmap
Week 1: MVP Design, Build & First App Integration
Define MVP Vision with Stakeholder Alignment
- Stakeholder interviews and requirements gathering
- Define platform value proposition and success metrics
- Design MVP technical architecture (IaC templates, CI/CD, observability)
MVP Build & Pilot Application Onboarding
- Develop essential platform core components and automation
- Develop essential platform core components and automation
- Implement basic CI/CD pipelines with GitOps workflows
- Onboard pilot application to test end-to-end workflows
- Engage early adopter team and establish feedback loop
Week 2: Business Case + Executive Demo & Enterprise Roadmap
ROI Calculation & Business Case + Executive Demo
- Build compelling business case with efficiency gains and cost savings
- Include tangible metrics: deployment frequency, MTTR, developer productivity
- Conduct comprehensive demo showcasing MVP capabilities and early wins
- Present platform value and key metrics achieved
Enterprise Migration Roadmap & Scale Planning
- Define roadmap for transitioning from MVP to full-fledged IDP
- Establish readiness criteria and develop SOPs for enterprise rollout
- Align platform vision with business objectives
- Prepare operational framework for organizational scale
What you'll master:
- Platform Strategy: Design platform engineering strategies that solve organizational scaling challenges.
- MVP Development: Build functional platform prototypes with essential self-service capabilities.
- Stakeholder Management: Engage executives and development teams to drive platform adoption.
- Business Case Development: Create compelling ROI arguments for platform engineering investments.
- Change Management: Lead organizational transformation through platform engineering adoption.
- Platform Operations: Design operational procedures and support models for platform teams.
- Executive Communication: Present technical platform solutions to business stakeholders effectively.
Track 2 Capstone Project: AWS Professional + Platform Engineering Prototype
Project Overview:
Build a comprehensive prototype demonstrating AWS Solutions Architect Professional skills combined with practical Platform Engineering implementation.
Project Components:
AWS Professional Architecture
- Multi-service AWS architecture covering all 8 professional domains
- Advanced security, networking, and cost optimization
- Disaster recovery and compliance implementation
- Onboard pilot application to test end-to-end workflows
Platform Engineering MVP
- Working internal developer platform with self-service capabilities
- GitOps workflows and developer portal implementation
- Basic platform observability and automation
- Pilot application onboarding and early adopter feedback
Business Case & ROI Analysis
- Comprehensive business case with efficiency gains and cost savings
- Tangible metrics including deployment frequency, MTTR, developer productivity
- Executive presentation materials and stakeholder alignment documentation
- Enterprise migration roadmap and scaling strategy
Professional Demonstration
- Live demo of platform capabilities and AWS architecture
- Executive-level presentation with business impact analysis
- Technical walkthrough for architecture review
- Implementation roadmap and lessons learned documentation
Success Metrics
AWS Solutions Architect Professional Readiness:
- Master all 8 professional domains from AWS certification
- Design complex, multi-service architectures
- Lead technology decisions for enterprise-scale projects
Platform Engineering Competency:
- Build functional internal developer platform MVP with self-service capabilities
- Implement GitOps workflows and pilot application onboarding
- Create compelling business cases and executive presentations for platform adoption
- Apply platform engineering principles to improve developer productivity and organizational efficiency
Career Advancement:
- Target Roles: Senior Solutions Architect, Platform Engineering Lead, Principal Engineer
- Salary Range: 40-70 LPA / $250K-350K USD
- Technical Leadership: Lead architecture and platform decisions for engineering organizations
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