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Master Claude Agent Prompt System: AI-Powered DevOps & Cloud Automation

Learn to build AI agent systems with Claude for DevOps automation, cloud management, and intelligent workflows. Free course.

Instructor

Kehinde Ogunlowo

Master Claude Agent Prompt System: Building AI-Powered Cloud Operations

Large language models are revolutionizing how cloud professionals work. This completely free course teaches you to design and deploy Claude-based AI agent systems that automate cloud operations, accelerate development workflows, and solve complex infrastructure challenges. This is not prompt engineering 101 — this is production-grade AI agent architecture for cloud professionals.

Kehinde Ogunlowo has pioneered the integration of AI agents into cloud management workflows, building the very systems that power Citadel Cloud Management’s operations. This course shares those battle-tested patterns and architectures.

What You Will Learn

AI Agent Architecture: Designing multi-step agent workflows that plan, execute, and validate cloud operations autonomously
Advanced Prompt Engineering: System prompts, chain-of-thought reasoning, tool use, and structured output for reliable automation
Claude API Integration: Building applications with the Anthropic API, handling streaming responses, managing context windows, and optimizing costs
MCP (Model Context Protocol): Connecting AI agents to external tools, databases, APIs, and cloud services through standardized protocols
DevOps Automation with AI: AI-assisted code review, automated documentation, intelligent incident triage, and infrastructure troubleshooting
Security-First AI: Guardrails, sandboxing, permission boundaries, and audit logging for AI agents operating in production environments
Cloud Management Agents: Building agents that monitor costs, enforce compliance, manage resources, and respond to incidents
Evaluation & Testing: Measuring agent reliability, building test suites, regression testing, and continuous improvement of AI workflows

Who This Course Is For

Cloud engineers and DevOps professionals looking to augment their workflows with AI. Software developers building AI-powered applications. Technical leaders evaluating AI adoption strategies. Anyone who wants to stay ahead of the AI transformation in cloud operations.

Prerequisites

Familiarity with cloud computing concepts and at least one programming language (Python or JavaScript preferred). Basic understanding of APIs and JSON. Curiosity about AI and willingness to experiment.

Career Outcomes

AI-augmented cloud skills are becoming a differentiator for top-tier roles. This course positions you for AI Platform Engineer ($130K-$200K), Senior DevOps Engineer with AI specialization ($140K-$200K), and Cloud Automation Architect ($150K-$220K) roles.

Continue Your Learning

Combine AI agent skills with our AI/ML for Cloud Operations course and DevOps course for a powerful skill combination. Visit our shop for AI agent templates and prompt libraries.

Free. Cutting-edge. Practical. Learn to build the AI systems that are transforming cloud operations. Enroll now.

What You’ll Learn

Module 1: Foundation of AI Agent Engineering

Claude AI Architecture & Capabilities Overview — Understand Claude's model architecture, context windows, thinking modes, and how it differs from GPT/Gemini. Learn…
Prompt Engineering Masterclass: From Zero to Expert — Master the art of crafting precise, effective prompts. Cover zero-shot, few-shot, chain-of-thought, and tree-of-thought techniques…
System Prompt Design Patterns for DevOps — Build production-grade system prompts that handle infrastructure provisioning, incident response, and continuous deployment. Includes 15…
Constitutional AI & Safety Guardrails — Implement responsible AI patterns: content filtering, output validation, hallucination detection, and compliance boundaries for enterprise…
API Integration: REST, SDK & Streaming Responses — Connect Claude to your toolchain via the Anthropic SDK (Python/TypeScript). Handle streaming, retries, rate limits,…

Module 2: Agentic AI Systems Design

Building Your First AI Agent: Architecture Patterns — Design autonomous AI agents using ReAct, Plan-and-Execute, and Reflexion patterns. Understand tool use, memory management,…
Tool Use & Function Calling for Cloud Ops — Give Claude hands: implement tool definitions for AWS CLI, Terraform, kubectl, and monitoring APIs. Build…
Multi-Agent Orchestration Frameworks — Coordinate multiple specialized agents (security scanner, cost optimizer, deployment manager) using orchestrator patterns, message passing,…
Memory Systems: Short-term, Long-term & RAG — Implement persistent agent memory using vector databases (Pinecone, Weaviate), conversation summarization, and Retrieval-Augmented Generation for…
Error Handling & Self-Healing Agent Patterns — Build resilient agents that detect failures, retry intelligently, escalate to humans, and learn from mistakes.…

Module 3: Cloud Infrastructure Automation with AI

AI-Powered Terraform: Generate & Validate IaC — Use Claude to generate Terraform modules, validate configurations, detect drift, and suggest optimizations. Includes CI/CD…
Kubernetes Operations with AI Agents — Build agents that manage K8s clusters: auto-scaling decisions, pod troubleshooting, manifest generation, and Helm chart…
Automated Incident Response & Root Cause Analysis — Create AI-driven incident management: alert triage, log analysis, runbook execution, and post-mortem generation using Claude's…
Cloud Cost Optimization Agent — Build an autonomous FinOps agent that analyzes spending patterns, recommends right-sizing, identifies waste, and implements…
Security Compliance Automation — Deploy AI agents that continuously audit cloud environments against CIS benchmarks, SOC2, HIPAA, and FedRAMP…

Module 4: Advanced Patterns & Production Deployment

Claude Code & CLI Agent Development — Master Claude Code for software engineering: autonomous coding, testing, debugging, and deployment. Build custom CLI…
Evaluation & Testing AI Agents — Implement comprehensive agent testing: unit tests for prompts, integration tests for tool use, evaluation harnesses,…
Production Deployment: Scaling AI Agents — Deploy agents to production with proper observability, cost controls, rate limiting, caching, and horizontal scaling…
Building AI-Powered DevOps Dashboards — Create intelligent dashboards that use Claude to analyze metrics, generate insights, predict incidents, and provide…
Capstone: Enterprise AI Operations Platform — Build a complete AI-Ops platform integrating all concepts: multi-agent orchestration, cloud automation, security compliance, and…

Course Details

4 Modules
20 Lessons
3 Assessments
900+ Minutes of Content
Certificate of Completion

Frequently Asked Questions

Do I need prior AI experience?

No. This course starts from fundamentals and progressively builds to advanced agentic AI patterns. Basic programming knowledge (Python preferred) is helpful but not required.

Will I learn to use the Claude API?

Absolutely. You'll build real AI agents using the Anthropic SDK, implement tool use, memory systems, and deploy production-grade AI operations platforms.

Is the content updated for the latest Claude models?

Yes. The course covers Claude Opus 4, Sonnet 4, and the latest API features including extended thinking, tool use, and streaming responses.

Do I get a certificate?

Yes. Upon completing all modules and passing the assessments, you'll receive a Citadel Cloud Management certificate of completion.

How long do I have access?

You get lifetime access to all course materials, including future updates and new content additions.

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