01
Cloud Foundations
- AWS, Azure & GCP core services
- IAM policies, roles & identity
- VPC, subnets, security groups
- EC2, S3, RDS, Blob Storage
● NEW LAUNCH • 30-DAY FAST TRACK
Multi-Cloud
Engineering
Bootcamp
Master AWS, Azure & GCP. Build cross-cloud architectures, deploy production AI applications, and manage enterprise cloud infrastructure.
- 30 Days of Intensive Hands-On Labs
- Deploy FastAPI, Bedrock & RAG on AWS
- Azure Data Factory & GCP Vertex AI Projects
AWS
Azure
GCP
30 DAYSFastTrack Program
1 Hr 15 MinsPer Day (Live Class)
100%Hands-on Labs
Real-World ProjectsAWS, Azure, GCP
Certificateof Completion
Career Guidance& Portfolio Reviews
COMPREHENSIVE CURRICULUM
Build your cloud
engineering toolkit.
Six structured modules covering every critical domain of modern multi-cloud engineering.
02
AI & ML Cloud Services
- SageMaker, Bedrock, Lambda
- Azure ML Studio & AI Services
- GCP Vertex AI, BigQuery ML
- Deploy FastAPI + RAG + LLMs
03
Data & Analytics
- Data lakes, ETL & orchestration
- Azure Data Factory, Synapse
- BigQuery, Pub/Sub, Dataflow
- Spark, Kafka, streaming
04
Containers & DevOps
- Docker & container registries
- Kubernetes on EKS/AKS/GKE
- CI/CD with GitHub Actions
- Infrastructure as Code: Terraform
05
Security & Compliance
- Cloud security best practices
- Zero-trust architecture
- CloudWatch, Monitor, Logging
- Secrets & encryption at rest
06
Capstone Projects
- AWS: AI chatbot with Bedrock + RAG
- Azure: End-to-end data pipeline
- GCP: Serverless AI API
- Cross-cloud architecture challenge
WHO IS THIS FOR?
Your next chapter in
cloud engineering.
Designed for professionals across the tech spectrum ready to master multi-cloud engineering.
AI Engineers
Deploy LLMs, RAG pipelines & AI agents at scale across AWS Bedrock, Azure AI & GCP Vertex AI.
DevOps Engineers
Master Docker, Kubernetes (EKS/AKS/GKE), CI/CD pipelines, Terraform & GitOps.
Software Developers
Transition into cloud-native development with serverless, containers & multi-cloud deployment.
Data Engineers
Build scalable data pipelines, ETL workflows & analytics platforms across all three clouds.
Data Scientists
Scale model training, MLOps pipelines & production inference on cloud GPU/TPU infrastructure.
Solutions Architects
Design resilient, cost-optimized multi-cloud architectures balancing performance and reliability.
Security Engineers
Implement zero-trust security, IAM governance, compliance & threat monitoring across clouds.
Tech Aspirants
Launch a future-proof career in cloud & AI engineering with structured mentorship.
CLOUD PLATFORMS COVERED
Three clouds.
One powerful skill set.
Hands-on learning
across AWS, Azure &
Google Cloud.
Amazon Web Services
4 domains
- EC2, S3, RDS, Lambda
- SageMaker, Bedrock, EKS
- API Gateway, IAM
- CloudWatch, CloudTrail
Microsoft Azure
4 domains
- Azure VM, Blob, SQL
- ML Studio, AKS, OpenAI
- Data Factory, Synapse
- Monitor, Sentinel, AD
Google Cloud Platform
4 domains
- Compute Engine, GCS, GKE
- Vertex AI, BigQuery
- Cloud Run, Pub/Sub
- Dataflow, Operations
LEARN BY BUILDING
4 hands-on labs
4 hands-on labs
4 hands-on labs
30 DAYS • 6 STAGES
From cloud basics to production AI.
Each phase builds on the previous — from cloud fundamentals to deploying production AI applications.
30days of hands-on
days of hands-on
learning
Six stages. One clear path.
LEARN → BUILD → DEPLOY
DAYS 1–5
Cloud Foundations
IAM, VPC, EC2, S3 — master core services across AWS, Azure & GCP.
DAYS 6–10
Managed Services
Lambda, RDS, Blob Storage, serverless & managed databases.
DAYS 11–15
Containers & DevOps
Docker, Kubernetes (EKS/AKS/GKE), CI/CD & Terraform IaC.
DAYS 16–20
Data Engineering
Data lakes, ETL pipelines, Spark, Kafka & cloud warehouses.
DAYS 21–25
AI Apps & Security
FastAPI + RAG, Streamlit AI, IAM, zero-trust & monitoring.
DAYS 26–30
Capstone & Career
3 platform projects, portfolio review, mock interviews & certificate.
WHAT’S INCLUDED
Your complete
cloud learning toolkit.
Training, tools and support for your multi-cloud journey.
30+Live sessions
1 hr 15 min each day
60+Hours of training
Interactive & practical
5Hands-on labs
Guided environments
3Capstone projects
Portfolio-ready
300+Interview Q&A
Cloud & AI focused
LiveMock interviews
1:1 coaching
Study Material
Digital workbooks, cheat sheets & reference guides for every module.
Cloud Lab Access
Pre-configured AWS, Azure & GCP sandbox environments.
Source Code Repo
All project code, templates & deployment scripts included.
Doubt Resolution
Daily Q&A sessions & dedicated Slack community support.
Verified Certificate
Industry-recognized certificate upon project completion.
Career Guidance
Resume reviews, LinkedIn optimization & placement prep.
WHY CHOOSE THIS BOOTCAMP
Built for real-world
cloud engineering.
True Multi-Cloud
Equal fluency across AWS, Azure & GCP — a rare and highly valued skill in the industry.
AI-First Curriculum
Every module integrates AI/ML. Deploy real LLMs, RAG apps, not just traditional cloud infra.
100% Hands-On
No passive lectures. Every concept reinforced through guided labs and real projects.
Production-Ready
Graduate with deployable applications — AI chatbots, data pipelines & cross-cloud architectures.
Industry Certificate
Verified certificate recognized by top tech companies for multi-cloud & AI skills.
Career Launchpad
Mock interviews, resume reviews, LinkedIn optimization & direct placement support.
3Cloud platforms
AWS • Azure • GCP
48+Services covered
Compute, AI, Data, DevOps
6Lab environments
Production-grade sandboxes
3Capstone projects
Portfolio-ready builds
▦ Limited batch enrollment open
Your next chapter
starts in the cloud.
Join engineers from 200+ companies. 30 days,
3 platforms, one career transformation.
LEARN | BUILD | DEPLOY
For India
₹4,999For USA
$49Enter your name, phone number and email to download.
- 30-Day Money Back
- Lifetime Access