There are no items in your cart
Add More
Add More
| Item Details | Price | ||
|---|---|---|---|
TheOpskart helps engineers build practical skills in AWS, Kubernetes, CI/CD, Observability, Platform Engineering and AI-powered infrastructure through hands-on labs, short lessons and mentorship.
Practical learning for students, working professionals and engineers preparing for real-world DevOps roles.
Learners Guided
Coaching Hours
Practical Tracks
DevOps & AI Labs
AI systems are no longer just model calls. Real AI applications need secure APIs, scalable infrastructure, token cost tracking, observability, deployment workflows and incident response.
Learn why production AI apps need a controlled gateway layer for authentication, logging, model routing, cost tracking and safety.
Learn More →Understand latency, errors, token usage, prompt failures and runtime visibility from a DevOps and SRE point of view.
Learn More →Learn how AI agents use tools, memory, APIs, logs and infrastructure, and why they must be operated like real systems.
Learn More →Start with the track that matches your current stage. Keep it practical, focused and job-relevant.
Understand LLM gateways, AI agents, token cost tracking, RAG infrastructure and observability.
Start Free →Learn Linux, Git, Docker, CI/CD, Kubernetes and cloud basics through real project workflows.
Explore Track →Learn AWS services from a DevOps perspective — deployments, networking, IAM and automation.
Explore Track →Personal guidance for career roadmap, interview prep, project support and problem-solving.
Book Call →A beginner-friendly learning path for DevOps, Cloud and SRE engineers who want to understand how AI systems behave in real infrastructure.
Explore practical labs built for engineers who want to learn by doing, not just watching videos.
Build a secure AI API layer using AWS services, logging, authentication and model access patterns.
View Lab →Learn why token cost visibility matters before AI bills become a production surprise.
View Lab →Learn observability basics using real DevOps monitoring workflows and practical dashboards.
View Lab →Once your fundamentals are strong, move into high-impact areas that modern DevOps teams actually need.
Understand internal developer platforms and self-service infrastructure.
Explore →Integrate security into CI/CD pipelines using scanning and shift-left practices.
Explore →Learn how AI agents work as operational systems using tools and infrastructure.
Explore →TheOpskart is created to help engineers learn what actually matters in real projects — cloud infrastructure, CI/CD, Kubernetes, observability, platform engineering and now AI infrastructure.
The goal is simple: less confusion, more practical clarity.
Real learning becomes useful only when engineers can apply it in interviews, projects and workplace situations.
TheOpskart helped me understand DevOps concepts in a practical way. The real-world examples made interviews and project work much easier.
The guidance was not only about tools. It helped me understand how cloud, CI/CD and monitoring connect in real environments.
The mentorship gave me clarity on what to learn, how to practice and how to explain my experience during interviews.
TheOpskart.ai helps teams design secure, observable and scalable AI infrastructure using DevOps, SRE and platform engineering practices.
Begin with free labs, short lessons and practical guidance built for real-world DevOps and AI infrastructure work.
Launch your Graphy