Jeevi Academy Blog - Mastering Cloud, DevOps and AI
Comprehensive technical guides, production-grade architectures, interview preparation questions, and professional career certifications designed for software engineers and technology leaders.
Core Engineering Domains
Explore structured guides across fundamental infrastructure and modern artificial intelligence disciplines:
- Cloud Architecture: AWS, Google Cloud, Microsoft Azure, and Serverless Infrastructure.
- DevOps & Platform Engineering: Kubernetes, Docker, CI/CD Pipelines, and Infrastructure as Code (Terraform).
- Generative AI & LLM Engineering: Prompt Engineering, LangChain, RAG Architectures, and Fine-Tuning.
- System Design & SRE: High Availability, Distributed Systems, Observability, and Microservices.
Curriculum & Learning Path Matrix
Compare our core learning roadmaps and the practical skills covered in each track:
| Learning Track |
Experience Level |
Key Technologies |
Target Certification |
| Cloud Solutions Architecture |
Intermediate to Advanced |
AWS, GCP, Terraform, Cloudflare |
Cloud Architect Certificate |
| DevOps & Kubernetes Engineering |
Intermediate |
Kubernetes, Docker, Helm, GitHub Actions |
DevOps Platform Engineer |
| Generative AI & LLM Systems |
All Levels |
Python, OpenAI API, LangChain, Vector DBs |
AI Application Engineer |
| System Design & Architecture |
Advanced |
Kafka, Redis, Microservices, SQL/NoSQL |
Staff Engineer Credential |
Structured Learning Methodology
Follow our three-step framework to transition from foundational theory to production mastery:
- Deep-Dive Study: Master architectural concepts through step-by-step technical articles and code walk-throughs.
- Interactive Practice: Solidify understanding through chapter quizzes, system design challenges, and code annotations.
- Verified Credentials: Complete end-of-path assessments to earn shareable certificates and 1-on-1 mentorship.