
Build 5 AIOps Projects to learn how to build IaC with GenAI, Vibe Coding, Prompt Engineering and Specs writing.
What you will learn
Use AI-assisted coding workflows to write and manage Infrastructure as Code (IaC)
Provision cloud infrastructure using Terraform, Pulumi, CloudFormation, and Ansible
Leverage AI developer tools like GitHub Copilot, Cursor, and Kiro IDE in vibe and spec modes
Use agentic workflows and MCP Servers to enhance IaC security, compliance, and best practices
Create GitOps-style pipelines with AI-powered PR reviews and automated IaC delivery
Secure and validate IaC with tools like Checkov, tfsec, and OPA/Conftest
Complete a capstone project to provision secure, production-grade cloud environments with AI assistance
Add-On Information:
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This comprehensive course navigates the cutting edge of cloud infrastructure management, transforming traditional approaches with advanced Artificial Intelligence. Beyond merely automating tasks, you will learn to strategically design, deploy, and manage resilient cloud environments through an intelligent, intent-driven paradigm.
- Architect Next-Generation Cloud Systems: Move beyond manual configurations to architect robust, scalable, and self-healing cloud infrastructure, leveraging AI to anticipate needs and optimize performance across diverse cloud platforms.
- Master Intelligent Infrastructure Design: Gain expertise in translating complex business logic and security requirements into dynamic, AI-generated Infrastructure as Code, significantly reducing development cycles and human error.
- Elevate Your Role to an AIOps Strategist: Develop the critical thinking and practical skills to integrate Artificial Intelligence into every phase of the infrastructure lifecycle, from initial provisioning to continuous optimization and incident response.
- Innovate with Generative AI for IaC: Explore the transformative power of generative AI in crafting novel IaC patterns, enabling rapid prototyping and exploration of optimal infrastructure solutions that are both secure and cost-efficient.
- Cultivate a Proactive Security Stance: Embed AI-powered security analysis and compliance checks directly into your IaC workflows, ensuring that all deployed resources adhere to stringent industry standards from inception.
- Bridge the Dev-Ops Divide with AI: Learn to foster seamless collaboration between development and operations teams by enabling AI-driven workflows that interpret developer intent and automatically generate secure, compliant infrastructure.
- Develop a Portfolio of Real-World AIOps Solutions: Engage in hands-on projects that demonstrate your ability to solve complex infrastructure challenges, showcasing a practical mastery of AI-driven cloud automation.
- Embrace the Future of Infrastructure Management: Position yourself at the forefront of cloud technology by understanding how AI, “vibe coding,” and prompt engineering redefine the development and operational paradigms for the modern cloud.
- Optimize Resource Utilization with AI: Leverage intelligent insights to deploy infrastructure that is not only robust but also highly efficient in terms of cost and resource consumption, driven by data-informed AI decisions.
- Drive Operational Excellence Through Automation: Implement sophisticated GitOps pipelines enhanced with AI-driven reviews and automated delivery, achieving unparalleled speed, consistency, and reliability in your deployments.
Pros of this Course:
- Future-Proof Skill Set: Equips you with highly sought-after, cutting-edge skills in the convergence of AI and cloud infrastructure, ensuring long-term career relevance and competitiveness.
- Practical, Project-Based Learning: Provides extensive hands-on experience through 5 AIOps projects, building a robust portfolio to demonstrate your capabilities to potential employers.
- Industry-Leading Tool Exposure: Familiarizes you with a wide array of top-tier AI developer tools and IaC platforms, making you versatile across various cloud environments and technological stacks.
- Strategic Career Advantage: Positions you as a leader in cloud automation and AIOps, enabling you to drive significant operational efficiencies and innovation within organizations.
Cons of this Course:
- Steep Learning Curve: May present a significant challenge for individuals without prior foundational knowledge in either cloud infrastructure, programming, or AI concepts, requiring dedicated effort.
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