AWS Certified Solutions Architect – Associate

AWS Certified Solutions Architect – Associate

  • 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 – Associate (SAA-C03) certification validates your ability to design and implement scalable, highly available, and fault-tolerant systems on AWS. This certification is ideal for individuals with at least one year of hands-on experience designing cloud solutions using AWS services.

Key Features

Duration: Flexible (self-paced learning)

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

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

Cost: $150 USD (approximately ₹12,000)

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

Design Secure Architectures
Module 1 10 hour to complete
Design secure access to AWS resources
Design secure application tiers
Select appropriate data security options
Design Cost-Optimized Architectures
Module 2 10 hour to complete
Identify cost-effective storage solutions
Identify cost-effective compute and database services
Analyze cost trade-offs
Design Resilient Architectures
Module 3 10 hour to complete
Design a multi-tier architecture solution
Design highly available and/or fault-tolerant architectures
Design decoupling mechanisms using AWS services
Design High-Performing Architectures
Module 4 10 hour to complete
Identify elastic and scalable compute solutions for a workload
Select high-performing storage and database solutions for a workload
Select appropriate networking solutions to meet performance requirements
Networking and Content Delivery
Module 5 10 hour to complete
Implement and manage networking solutions
Implement and manage content delivery solutions
Cost and Performance Optimization
Module 6 10 hour to complete
Implement and manage cost optimization strategies
Implement and manage performance optimization strategies

Tools & Technologies

Completion Certificate

Master in NextGen AI & Data Science Certificate

Job Role

Training Option

Ready to shape your future?

Enroll Now or Talk to Our Experts: 07948221005

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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