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AI-301

Agent Native Cloud Development

Focus on cloud-first development methodologies for Agentic AI systems. Explore scalable, distributed AI architectures using Docker and Kubernetes for deploying AI Agents and MCP Servers. Design and deploy production-ready AI applications optimized for cloud environments through hands-on projects.

Duration: 3 months
Prerequisites:
AI-201AI-210

Available Sections:

Section Classes Schedule:
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Price:PKR 7,500

Details

Agent Native Cloud Development This advanced course focuses on cloud-first development methodologies for Agentic AI systems. Students will explore scalable, distributed AI architectures utilizing industry-standard containerization and orchestration technologies including Docker and Kubernetes for deploying AI Agents and MCP Servers. Through comprehensive hands-on projects, students will design and deploy production-ready AI applications optimized for cloud environments.

Key Learning Modules

Module 1
Cloud-First Methodologies for Agentic AI

Introduce cloud-first development approaches specific to Agentic AI systems.

Module 2
Scalable and Distributed AI Architectures

Explore architectures for scalable and distributed AI systems in cloud environments.

Module 3
Containerization with Docker

Utilize Docker for containerizing AI Agents and related components.

Module 4
Orchestration with Kubernetes

Apply Kubernetes to orchestrate deployments of AI Agents and MCP Servers.

Module 5
Hands-On Projects for AI Design

Engage in comprehensive projects to design production-ready AI applications.

Module 6
Deployment in Cloud Environments

Focus on deploying and optimizing AI applications for cloud settings.

Course Outcomes

Understand cloud-first development methodologies for Agentic AI systems.

Explore scalable and distributed AI architectures.

Utilize Docker for containerization in AI deployments.

Apply Kubernetes for orchestration of AI Agents and MCP Servers.

Design production-ready AI applications through hands-on projects.

Deploy AI applications optimized for cloud environments.

Prerequisites

Note: These prerequisites provide essential knowledge for success in this course. If you haven't completed these courses, consider taking them first or reviewing the relevant materials.