Master Multi-Claude AI (AWS, Azure & GCP) in Pune!
Deploy enterprise Machine Learning & AI models using AWS SageMaker, Azure OpenAI, GCP Vertex AI, Docker containerization, and Kubernetes infrastructure.
JVM Institute's Claude AI track provides 100% practical cloud lab environments and 100% Placement Assistance with leading IT product firms.
Deploy AI Workloads on AWS, Azure & GCP
- Host Models on AWS SageMaker & Azure OpenAI.
- Build Serverless AI Pipelines with GCP BigQuery ML.
- Containerize & Deploy AI Microservices on Kubernetes.
Course Syllabus
Click on any module below to explore the detailed topics, tools used, and hands-on capstone deliverables.
What to Expect from the JVM Data Engineering Course in Pune
Comprehensive Multi-Claude AI training covering AWS (SageMaker), Azure (OpenAI), and GCP (Vertex AI).
Hands-on Docker containerization & Kubernetes (EKS/AKS) deployment labs.
Serverless AI model serving using GCP Cloud Run and AWS Lambda.
End-to-end MLOps pipeline construction with automated CI/CD workflows.
Dedicated placement assistance, resume optimization, and direct MNC referrals.

Program Highlights & Benefits
6 Months Track
24 weeks live interactive training & 24/7 LMS.
Cloud Lab Clusters
Databricks, AWS, Azure, GCP & Snowflake sandboxes.
4 Capstone ETLs
Build production pipelines for e-commerce & finance.
1:1 Mentorship
Line-by-line code reviews by Senior Data Architects.
100% Placement
ATS resume crafting & direct MNC referrals.
ISO Certification
Industry-accredited Data Engineering diploma.
Tools & Technologies You Will Master
Enterprise Capstone Projects
Dedicated 100% Placement Support Journey
ATS Resume Crafting
Tailored PySpark & Databricks keywords for ATS filters.
1-on-1 Tech Mocks
Simulated SQL coding & system design architecture rounds.
Hiring Referrals
Direct routing to 250+ partner MNCs in PAN India.
Salary Negotiation
Guidance to negotiate maximum compensation packages.
Student Success Stories
"JVM Institute helped me master industry-relevant technologies such as SQL, Python, AWS, and PySpark. The practical assignments and placement support made a huge difference."

