Multi-Cloud AI Specialist (Azure & AWS)
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
This program introduces AI-ready cloud infrastructure concepts.
Topics include:
- 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
Hands-On Learning Approach
Our training follows a practical industry-focused learning model.
- 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.
🛠 Tools & Technologies Covered
Participants will gain experience with:
- Microsoft Azure
- Amazon Web Services (AWS)
- Cloud Networking & Security
- Azure Monitor & AWS CloudWatch
- Serverless Computing Platforms
- AI Cloud Services
💼 Internship & Career Support
- Resume Preparation
- Mock Interviews (Every 15 Days)
- Internship with Real-Time Projects
- Industry Mentor Sessions
- Tech Community & Networking
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.
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
Upon successful completion of the program, participants will receive:
🏆 Multi-Cloud AI Specialist (Azure & AWS) Certification
This certification validates your expertise in:
✔ AWS Cloud Infrastructure
✔ Microsoft Azure Cloud
✔ Multi-Cloud Architecture
✔ AI-Ready Cloud Platforms
🚀 Career Opportunities
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.
