AWS | Microsoft Azure | AI Infrastructure | Cloud Architecture
Build Future-Ready Multi-Cloud & AI Infrastructure Skills
The Multi-Cloud AI Specialist (Azure & AWS) Program by Tamilnadu Advanced Technical Training Institute (TATTI) is a professional training program designed to prepare students, developers and IT professionals for careers in cloud computing, AI infrastructure and modern multi-cloud environments.
This program combines Amazon Web Services (AWS), Microsoft Azure, cloud architecture and AI workloads to help learners develop industry-ready cloud engineering skills.
Participants will gain hands-on experience with cloud infrastructure deployment, monitoring, security management and AI-ready cloud platforms used by modern technology companies.
Program Highlights
- Multi-Cloud Architecture using Azure & AWS
- Deploy and manage scalable cloud infrastructure
- Design AI-ready cloud platforms
- Implement cloud security and monitoring systems
- Build serverless and microservice architectures
- Work on real-time cloud deployment projects
Program Duration: 90 Days
Mode: Live Online Training
Certification: Professional Program Certificate
Format: Hands-on Labs + Practical Exercises + Cloud Projects
What You Will Learn
- Introduction to Cloud Computing
- Cloud Service Models – IaaS, PaaS, SaaS
- Cloud Deployment Models
- Global Cloud Infrastructure
- Cloud Architecture Principles
Learn how to build and manage enterprise applications on Microsoft Azure.
Key topics include:
- Azure Virtual Machines
- Azure Storage Services (Blob, Files, Queues)
- Azure Virtual Networks
- Azure Load Balancer & Application Gateway
- Azure Monitoring & Log Analytics
- Azure App Services & Serverless Computing
- Azure Key Vault Security
- Azure SQL Database & Managed Databases
Participants will also work on real-time Azure cloud deployment exercises.
Learn how to build scalable cloud infrastructure using AWS services.
Key modules include:
- Amazon EC2 Compute Services
- Amazon S3 Storage Architecture
- Amazon VPC Networking
- Elastic Load Balancing & Auto Scaling
- AWS CloudWatch Monitoring
- Amazon Route53 DNS Management
- AWS Lambda Serverless Computing
- Amazon RDS & DynamoDB Databases
Participants will implement real-world cloud architectures using AWS.
- Virtual Private Cloud (VPC) Design
- Subnet Architecture
- Secure Cloud Networking
- Load Balancing Strategies
- Multi-Tier Cloud Architecture
- DNS & Domain Configuration
- Azure Monitor & Log Analytics
- AWS CloudWatch & CloudTrail
- Metrics, Logs & Alerts
- Application Performance Monitoring
- Infrastructure Health Monitoring
Learn to automate cloud infrastructure deployment.
- Infrastructure as Code Concepts
- Azure ARM Templates
- JSON / YAML Templates
- Automated Cloud Resource Deployment
- Serverless Computing Concepts
- Azure Functions
- AWS Lambda
- Event-Driven Architecture
- Microservices Deployment
- Cloud Migration Strategy
- On-Premise to Cloud Migration
- Multi-Cloud Migration Approaches
- Disaster Recovery Planning
- RPO & RTO Concepts
- Business Continuity Planning
- Generative AI Fundamentals
- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
- Agentic AI Systems
- Deploying AI Applications on Cloud
- Cloud Security Fundamentals
- Identity & Access Management
- Encryption & Data Protection
- DevSecOps Security Practices
- Secure Cloud Architecture
- Write programs that can do text pattern recognition with "regular expressions"
- Parse PDFs and Word documents.
- Write programs that send out email notifications.
- Programmatically control the mouse and keyboard to click and type for you.
Hands-On Learning Approach
- Live Instructor-Led Training
- Cloud Lab Exercises
- AWS & Azure Hands-On Practice
- Cloud Monitoring & Security Implementation
- Real-Time Cloud Deployment Projects
Partcipants will work on enterprise-level cloud scenarios used in modern companies.
Participants will gain experience with:
- Microsoft Azure
- Amazon Web Services (AWS)
- Cloud Networking & Security
- Azure Monitor & AWS CloudWatch
- Serverless Computing Platforms
- AI Cloud Services
Who Should Join?
This program is ideal for:
- Computer Science / IT Students
- Software Developers
- Cloud Engineering Beginners
- AI Technology Enthusiasts
- DevOps Learners
- IT Professionals upgrading their cloud skills
Even beginners with basic computer knowledge can join this program.
Internship & Career Support
- Resume Preparation
- Mock Interviews (Every 15 Days)
- Internship with Real-Time Projects
- Industry Mentor Sessions
- Tech Community & Networking
Skills You Will Gain
- Multi-Cloud Infrastructure Design
- Cloud Migration & Cloud Adoption Strategies
- AI Infrastructure Deployment
- Cloud Networking & Security Architecture
- Cloud Monitoring & Automation
- Scalable Application Deployment in Cloud
Certification
Multi-Cloud AI Specialist (Azure & AWS) Certification
- AWS Cloud Infrastructure
- Microsoft Azure Cloud
- Multi-Cloud Architecture
- AI-Ready Cloud Platforms
After completing the program, you can pursue roles such as:
- Cloud Engineer
- AWS Cloud Engineer
- Azure Cloud Engineer
- Multi-Cloud Architect
- DevOps Engineer
- AI Infrastructure Engineer
- Cloud Operations Engineer
Start Your Cloud Career Today
Admissions Open – Limited Seats Available
Join the Multi-Cloud AI Specialist Program and gain the skills needed to design, deploy and manage modern cloud infrastructure and AI platforms.
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