Live instructor-led training in AI/ML, Data Science, DevOps, Cloud (AWS, Azure), Python, and Power BI. Learn by doing.
Design scalable architectures, VPC, IAM, EC2, Load Balancing & Security.
• 16 Weeks Duration
• Beginner to Advanced
Python, Pandas, Machine Learning models, and MLOps overview.
• 14 Weeks Duration
• Intermediate
AWS/Azure basics, Docker, Kubernetes, CI/CD pipelines & Terraform.
• 12 Weeks Duration
• Intermediate
We designed every course to maximize learning speed and career impact.
No boring recordings. Ask doubts live and collaborate in real time with mentors.
Ship real apps, dashboards, and deployments you can actually show in interviews.
Learn directly from senior professionals with deep real-world expertise.
Stay accountable with peer learning and dedicated mentor attention.
Weekend and weekday batches designed to fit your busy routine.
Get recognized for every skill you master with our course completion certificates.
Theory doesn't build careers; code does. You will master these 4 cutting-edge industrial projects from scratch.
.png)
AI & Machine Learning
Build a custom RAG chatbot that reads company PDFs and answers queries using OpenAI GPT-4 & Vector DBs.
Cloud Computing
Design an event-driven banking backend handling millions of transactions using AWS Lambda & DynamoDB streams.
DevOps & CI/CD
Construct a fully automated pipeline. Code pushed to GitHub is deployed to a live K8s cluster with zero downtime.
Cybersecurity
Build a live SOC dashboard. Analyze real-time traffic to detect SQL Injections, DDoS, and unauthorized access.
"The AWS Cloud Architect course's labs on VPC and IAM helped me design and deploy a production-ready architecture."
"Data Science & ML with Python, Pandas, and model building gave me true end-to-end skills for my new job."
"The Cloud & DevOps track's Docker/Kubernetes pipelines and CI/CD practice made real deployments feel easy."
Get a free counselling call and course roadmap tailored to you.
Weekday: Mon-Fri, 7–9 PM IST
Weekend: Sat-Sun, 10 AM–1 PM IST
