Cloud Computing
AWS Cloud Engineer
Master advanced AWS: multi-account governance, SageMaker AI, cost optimisation, and enterprise security.
Level: AdvancedCloud Computing
What You'll Learn
AWS Organizations & Control Tower
SageMaker ML pipelines
Bedrock generative AI
Advanced networking (TGW, Direct Connect)
Cost optimisation strategies
Security Hub & GuardDuty
FinOps practices
Disaster recovery
Capstone: enterprise platform
What's Included
🧭AI Tutor🔒
Interactive learning path with AI-generated lessons read aloud by your personal tutor
🧪Practice Lab🔒
Step-by-step lab instructions with AI guidance — run in your own IDE or sandbox.
🎙️Mock Interviews🔒
AI interviewer asks tailored questions, gives real-time feedback and a score report
📝Evaluation🔒
MCQ questions (theory, practical, code) to test your knowledge and earn a badge
⚔️Challenge AI🔒
Compete head-to-head against AI on real production problems — judged on correctness, performance, scalability, code quality, and edge cases
Course Syllabus
Enterprise Architecture
- •AWS Organizations
- •Control Tower & SCPs
- •Landing Zone Design
- •Multi-Account Strategy
- •Well-Architected Framework
AI & ML
- •SageMaker Studio
- •Training & Tuning Jobs
- •SageMaker Endpoints
- •Bedrock Foundation Models
- •Rekognition & Comprehend
Advanced Networking
- •Transit Gateway
- •Direct Connect
- •VPN Architectures
- •PrivateLink
- •Global Accelerator
Security & Compliance
- •Security Hub
- •GuardDuty & Macie
- •AWS WAF & Shield
- •Compliance (SOC2, PCI)
- •Forensics & Incident Response
Cost & Reliability
- •FinOps on AWS
- •Savings Plans & Reserved Instances
- •Chaos Engineering
- •Disaster Recovery Strategies
- •Capstone: Enterprise Platform
You're all set
Everything in this course is unlocked.
Continue Learning →✓AI Tutor
✓Practice Lab
✓Mock Interviews
✓Evaluation
✓Challenge AI