AI Infra Specialist: Docker, Kubernetes, CKA, Istio & Agentic Systems
50 Days Online Professional Training Program
🚀 Build • Deploy • Scale AI Applications with Modern Cloud Infrastructure
The AI Infra Specialist Program by Tamilnadu Advanced Technical Training Institute (TATTI) is an industry-focused professional training designed to help students and professionals master AI infrastructure, container technologies and cloud-native platforms.
This program provides practical knowledge in Docker containerization, Kubernetes orchestration, Istio service mesh and Agentic AI systems, enabling learners to deploy and manage production-ready AI applications on scalable cloud infrastructure.
Participants will gain hands-on experience working with real-world infrastructure tools used by modern technology companies, preparing them for careers in cloud engineering, DevOps and AI infrastructure management.
Program Highlights
🎯 Program Duration: 50 Days
💻 Mode: Online Live Training
🛠 Learning Format: Hands-on Labs + Projects + Mentoring
By the end of the program, participants will be able to:
✔ Containerize AI applications using Docker
✔ Deploy and scale applications using Kubernetes
✔ Prepare for the Certified Kubernetes Administrator (CKA) exam
✔ Manage microservices with Istio Service Mesh
✔ Secure services using API Gateway concepts
✔ Build Agentic AI systems for intelligent automation
✔ Design scalable and production-ready AI platforms
Why Learn AI Infrastructure?
Modern organizations rely heavily on cloud-native infrastructure and containerized platforms to build scalable applications and deploy AI systems efficiently.
Companies today require professionals who can:
• Deploy AI models on cloud infrastructure
• Manage containerized applications
• Maintain Kubernetes clusters
• Design scalable microservice architectures
• Automate deployment pipelines
• Ensure infrastructure security and reliability
This program prepares learners for high-demand roles in AI infrastructure and cloud engineering.
Hands-On Learning Approach
Our program emphasizes practical, industry-oriented learning.
👨💻 Live instructor-led technical sessions
🧪 Hands-on lab exercises
🛠 Infrastructure deployment projects
📊 Kubernetes-based application deployment
🧠 AI platform architecture exercises
Participants will work on real-world infrastructure scenarios used in modern cloud environments.
What You Will Learn
• Fundamentals of cloud computing
• Infrastructure architecture basics
• High availability and scalability concepts
• Infrastructure design for AI workloads
• Linux fundamentals and command-line usage
• File systems and permission management
• Networking and system administration basics
• Container architecture and concepts
• Docker installation and configuration
• Creating Docker images and containers
• Writing Dockerfiles
• Docker networking and storage
• Multi-container applications using Docker Compose
• Kubernetes architecture and components
• Pods, services, and deployments
• Load balancing and scaling applications
• Persistent storage and volumes
• Kubernetes networking and security
• Helm package manager for Kubernetes
• Istio Service Mesh for microservices
• API Gateway concepts for service security
• Monitoring and logging in Kubernetes environments
• Introduction to AI infrastructure
• Deploying AI workloads using Kubernetes
• Building AI-driven automation systems
• Agentic AI systems and workflows
• Designing scalable AI platforms
Training Program Structure
Structured sessions covering Docker, Kubernetes, cloud infrastructure and AI systems.
Work with containerized applications and Kubernetes clusters.
Build real infrastructure deployment pipelines and cloud-native platforms.
Develop a professional portfolio showcasing Kubernetes and AI infrastructure projects.
Prepare for technical interviews focused on DevOps, Cloud and Kubernetes roles.
Interact with cloud engineers and infrastructure professionals.
Tools & Technologies You Will Work With
Participants will gain hands-on experience with tools used in modern AI infrastructure environments:
• Linux
• Git & GitHub
• Docker
• Kubernetes
• Helm
• Istio Service Mesh
• API Gateway
• Cloud Platforms (AWS / Azure)
• AI Deployment Frameworks
Who Should Join?
This program is ideal for:
🎓 Computer Science / IT Students
👨💻 Software Developers
☁ Cloud Engineers
⚙ DevOps Beginners
🤖 AI & Machine Learning Enthusiasts
📊 IT Professionals upgrading their skills
Even learners with basic programming or IT knowledge can join.
Certification
Upon successful completion of the program, participants will receive:
🏆 AI Infra Specialist Certification
This certification validates your skills in containerization, Kubernetes orchestration and AI infrastructure deployment.
Career Opportunities
After completing the program, participants can pursue roles such as:
• AI Infrastructure Engineer
• Kubernetes Administrator
• DevOps Engineer
• Cloud Engineer
• Platform Engineer
• Site Reliability Engineer (SRE)
• AI Platform Engineer
Start Your AI Infrastructure Career Today 🚀
Admissions Open – Limited Seats Available
Join the AI Infra Specialist: Docker, Kubernetes, CKA, Istio & Agentic Systems Program and gain the skills required to build, deploy and scale modern AI applications on cloud infrastructure.
