Corporate & Academic Training
Training that leaves people genuinely more capable.
Programs built around real skill gaps — for engineering teams, for professionals moving up, and for students preparing to land their first role. Delivered in person across India or virtually.
The approach
Most technical training teaches people to follow steps. I teach them to understand systems — so they can solve the problems the syllabus never anticipated.
Every program begins with a conversation about where people actually are and where they need to be. The curriculum is built from that gap. Sessions are hands-on, grounded in real scenarios, and taught by someone who builds these systems for a living — not someone reading from a vendor deck. Whether it's an enterprise team levelling up, a professional preparing for a certification, or a student aiming for that first cloud or AI role, the goal is the same: real, durable capability.
5–200+
participants per program
½ day – weeks
flexible duration
Included
certification prep
Custom
labs and materials
Representative programs
Cloud Architecture Fundamentals
3–5 days · Developers, Architects, Tech Leads
- —Cloud concepts and service models
- —Azure and AWS architecture
- —Security and compliance
- —Cost optimization
- —Hands-on labs
Azure Solutions Architecture
4–5 days · Developers, Cloud Engineers
- —Azure core services in depth
- —Networking and security
- —Identity and access management
- —Azure certification paths (associate & expert)
- —Architecture case studies
Generative AI & LLM Engineering
2–3 days · Engineers, Architects, Data Teams
- —LLM fundamentals and selection
- —Prompt engineering
- —RAG system design
- —Agentic AI workflows
- —Production AI safety
DevOps & Kubernetes
3–5 days · DevOps Engineers, Platform Teams
- —Containerization with Docker
- —Kubernetes architecture
- —Helm and GitOps
- —CI/CD pipeline design
- —Hands-on cluster labs
Faculty Development Program
40–80 hours · University Faculty
- —Cloud curriculum design
- —AI and ML pedagogy
- —Lab environment setup
- —Teaching methodology
- —Industry case integration
Machine Learning & Deep Learning
4–5 days · Data Scientists, ML Engineers
- —ML algorithms and intuition
- —Deep learning architectures
- —Transformers and attention
- —Model evaluation
- —MLOps fundamentals
Certification preparation
Structured preparation for the certifications that move careers forward — from first associate to expert.
Microsoft Azure
Associate and expert paths — administrator, developer, solutions architect, DevOps engineer, and AI certifications.
Amazon AWS
Solutions Architect Associate and the foundations professionals need to build confidently on AWS.
AI & Machine Learning
Associate and expert AI certifications, plus the practical grounding behind them — not just exam questions.
DevOps & Platform
DevOps engineering certifications alongside the real pipeline, container, and GitOps skills they certify.
Let's work together
If you're building something that matters, I'd like to hear about it.
Whether you need to train a team, design a cloud system, adopt AI responsibly, or simply think through a hard technical decision — the first conversation is always free.