Name: AI Agents for Cloud Infrastructure
Availability: InStock

What You'll Learn

Design and build AI agents that can interact with and control real cloud infrastructure (AWS, Azure, GCP)
Apply Infrastructure as Code (IaC) using tools like CloudFormation and Terraform to automate deployments
Develop tool-using and multi-agent systems with planning, execution, and validation workflows
Integrate LLMs and agent frameworks to enable intelligent decision-making and automation
Implement safe execution systems with guardrails, policy engines, and approval workflows
Use cloud APIs and SDKs (boto3, Azure, GCP) to programmatically manage infrastructure
Build event-driven and serverless architectures that trigger AI agents in real-time
Design secure and production-ready systems with IAM, least privilege, and secrets management
Create autonomous workflows like auto-remediation and cost optimization agents
Deliver a complete production-grade AI infrastructure agent as a capstone project

Requirements

Beginners who want to break into AI and cloud engineering with a structured, hands-on path
Software developers looking to level up into AI agents and infrastructure automation
Cloud engineers who want to integrate AI-driven decision-making into their workflows
DevOps and platform engineers aiming to build autonomous and self-healing systems
AI/ML enthusiasts who want to move beyond models and build real-world production systems
Product managers and technical leaders exploring AI-powered infrastructure and automation
IT professionals seeking to transition into high-demand AI + cloud roles
Freelancers and builders who want to create automation tools and AI-powered services
Anyone interested in becoming an AI Engineer, Cloud Engineer, or AI Systems Architect

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An experienced instructor with expertise in this field and a passion for teaching.

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