AWS Certified Solutions Architect – Professional

AWS Certified Solutions Architect – Professional

  • Understand AI Fundamentals
  • Identify Business Opportunities
  • Plan & Execute Projects
  • Evaluate Impact & Ethics

60 Hours

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Beginner level

No Prior Knowledge Required

Flexible Learning

Available in Online, Offline, and
Hybrid Modes

60 Hours

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Program Overview

The AWS Certified Solutions Architect – Professional certification validates advanced technical expertise in designing and deploying distributed systems on AWS. It demonstrates your ability to implement complex solutions and optimize architectures for performance, cost, and security.

Key Features

Duration: Flexible (self-paced learning)

Format: Online (self-paced courses, practice exams)

Credential: AWS Certified Solutions Architect – Professional (valid for 3 years)

Cost: $300 USD (approximately ₹24,000)

Exam Mode: Available at Pearson VUE testing centers or online proctored exams

Validity: Certification is valid for 3 years; recertification options available

Skills Covered

  • AI Fundamentals: Understanding the basics of generative AI and its applications
  • Content Generation: Creating text, images, and videos using AI tools
  • Automation: Streamlining content creation processes with AI
  • Personalization: Tailoring content to specific audiences using AI insights
  • Ethical Considerations: Understanding the ethical implications of using AI in content creation
Next Cohort Countdown

Course Curriculum

Architecting on AWS – Foundations
Module 1 10 hour to complete
Role of the Solutions Architect & SAP-C02 exam overview
AWS Well-Architected Framework (pillars, trade-offs, design principles)
Multi-account strategy: AWS Organizations, OU design, landing zones, RAM
Identity, Federation & Governance
Module 2 10 hour to complete
IAM deep dive (advanced policies, permission boundaries, ABAC)
Identity Federation (SAML/OIDC), AWS IAM Identity Center
Cognito use cases; Directory Services integrations
Control Tower, SCPs, delegated administration & guardrails
Security, Detection & Encryption
Module 3 10 hour to complete
CloudTrail, Config & org-level governance patterns
Data protection: KMS, CloudHSM, ACM; secrets & parameters
Application protections: WAF, Shield, Firewall Manager
Threat detection & posture: GuardDuty, Inspector, Detective, Security Hub
Compute & Serverless Architecture
Module 4 10 hour to complete
EC2 families, capacity strategies (Spot, RI, Savings Plans), HPC patterns
Elastic Load Balancing (advanced routing, ALB rules)
AWS Lambda (versions, aliases, traffic shifting), App Runner
Containers on AWS: ECR, ECS/Fargate, EKS design choices
Networking, DNS & Edge
Module 5 10 hour to complete
VPC design (subnets, routing, endpoints/PrivateLink, NACLs/SGs)
Hybrid connectivity: VPN, Direct Connect, Transit Gateway
Edge networking: Route 53 (weighted/latency/failover), Global Accelerator, CloudFront
Private DNS & hybrid resolvers; multi-region patterns
Storage Architecture & Data Movement
Module 6 10 hour to complete
EBS, Instance Store & performance tuning
Amazon S3 (multi-region access points, storage classes, object lambda)
EFS & FSx families (Windows, Lustre, NetApp ONTAP)
DataSync, Transfer Family, Data Exchange; storage cost/perf comparisons
Caching & Extreme Scale
Module 7 10 hour to complete
ElastiCache for Redis/Memcached (cluster modes, patterns)
CloudFront & Lambda@Edge/CloudFront Functions for latency reduction
Burst handling and load-shedding strategies
Databases & Persistence
Module 8 10 hour to complete
RDS & Aurora (HA, read replicas vs Multi-AZ, global DB)
DynamoDB (capacity, GSIs/LSIs, streams, patterns)
OpenSearch Service, Timestream, DocumentDB
Choosing the right store: consistency, latency, cost, scale
Messaging, Orchestration & Service-to-Service
Module 9 10 hour to complete
SQS/SNS patterns (fan-out, retries, DLQs, redrive)
EventBridge buses, routing, input transformation & content filtering
Step Functions for sagas & long-running workflows
Amazon MQ for enterprise integration
Streaming, Analytics & Data Platforms
Module 10 10 hour to complete
Kinesis Data Streams/Firehose & Apache Flink (managed)
EMR for big data; Glue for ETL & catalog
Redshift, Athena & Lakehouse patterns
QuickSight for BI & governance considerations
Deployment, IaC & Platform Choices
Module 11 10 hour to complete
CloudFormation (Stacks, StackSets, drift, ChangeSets, policies)
AWS CDK constructs & pipelines; SAM for serverless IaC
Service Catalog for curated portfolios; Beanstalk for PaaS
EC2 Image Builder & golden AMIs
Observability, Reliability & Ops
Module 12 10 hour to complete
CloudWatch metrics/logs/alarms, custom metrics, Synthetics
X-Ray & ADOT (OpenTelemetry) tracing
Health Dashboard, status checks, runbooks & playbooks
Capacity resilience: ASG strategies, warm pools, lifecycle hooks
Cost Optimization & FinOps
Module 13 10 hour to complete
Cost allocation tags, budgets, alerts, Cost Explorer
Savings Plans vs RIs, Compute Optimizer & right-sizing
S3 & data-transfer optimization; Trusted Advisor checks
Performance vs cost trade-offs & chargeback/showback
Migration, DR & Resilience Engineering
Module 14 10 hour to complete
7 Rs migration strategies & CART/Migration Evaluator
AWS DMS & heterogeneous migrations
Backup & restore with AWS Backup; DR patterns (pilot-light, warm standby, active/active
Fault Injection Simulator for chaos & game days
Hybrid & Edge Architectures
Module 15 10 hour to complete
Outposts, Local Zones, Wavelength & edge use cases
Private 5G considerations and latency-sensitive workloads
On-prem redundancy and routing architectures
AI/ML Services for Architects (Survey)
Module 16 10 hour to complete
Managed AI services overview (Rekognition, Comprehend, Lex, Textract, Kendra, Personalize)
SageMaker overview for architecture decisions
Where GenAI/Bedrock fits in reference architectures
Patterns, Trade-offs & Reference Designs
Module 17 10 hour to complete
Comparing solution options under constraints (availability, consistency, cost)
Ten common blueprints: web tier, data lake, event-driven, IoT ingest, multi-region active/active, etc.
Anti-patterns and how to spot them on the exam
Exam Readiness & Scenario Practice
Module 18 10 hour to complete
Domain-by-domain mapping to SAP-C02
Long-form scenario walkthroughs & trap avoidance
Time management, question deconstruction & elimination techniques
Capstone & Next Steps
Module 19 10 hour to complete
Capstone architecture: multi-account, multi-region, secure, observable platform
Documentation pack: ADRs, diagrams, runbooks, cost model
Certification pathways & continuing education

Tools & Technologies

Completion Certificate

Master in NextGen AI & Data Science Certificate

Job Role

Training Option

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Why Join this Program

Earn a job

Receive complete job assistance tailored to your career goals. Get expert placement guidance to confidently step into the industry.

Leverage knowledge from industry experts

Learn directly from seasoned Trainers and Gain real-world insights that go beyond textbooks.

Industry-relevant Tools & Practical Learning

Get hands-on experience with the latest tools used by top companies. Hands-on learning through 200+ exercises and 10+ projects with seamless access to integrated labs.

Structured, industry-vetted curriculum

A curriculum shaped by experts to meet evolving industry demands. Structured learning ensures you're career-ready from day one.

Integrated with Gen AI Modules

The curriculum includes cutting-edge Generative AI modules designed to align with emerging tech trends.

Interview preparation & Placement assistance

Sharpen your interview skills with practical training and expert guidance. Receive complete placement support to connect with top recruiters.

FAQ

Basic Python is enough; we cover everything from scratch.
No — this course teaches ML fundamentals too.
Absolutely — this is designed for career transition.
You’ll need to put in extra effort, but many succeed.
Yes — the curriculum includes real-world LLM integration.
Yes — including techniques used by AI professionals.
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