Code Gemini - Pune
Full Stack Data Science + Gen AI + Agentic AI, delivered as a rigorous engineering system.
Placement Engine
Each stage has an owner, measurable output, and review loop.
Positioning and outreach strategy.
ATS
Resume calibration for screening systems.
Recruiter
Targeted visibility and response loops.
Automation
AI-assisted opportunity tracking.
Interview
Mock panel reviews and correction cycles.
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Recruiter Activities
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Interview Pipeline Actions
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Mock Interviews
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Curated Questions
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Curated Books
Weekly recruiter pipeline tracking with measurable action points.
Mock interviews with practical feedback and correction loops.
Question bank and curated reading for role-specific interview readiness.
Consistent progress review to maintain hiring momentum.
Success Stories
Student Story
Jayant Borkar
ML Engineer - Product SaaS
4.5 LPA
“The mock interview cadence changed how I think under pressure.”
Research Lab
Research Lab Achievements
Student team built an end-to-end support copilot with planner and responder agents.
Faculty
Vaibhav Bhosale
Invited speaker and workshop mentor
5+ years of industry and training experience
Hands-on mentoring session on AI career roadmap, practical model deployment, and industry hiring expectations.
Projects
Projects are built like real product systems, so students can explain architecture, deployment, and business impact in interviews.
Project Engine
Students do not stop at notebooks. Each project is executed with clear scope, architecture decisions, deployment workflow, and interview-ready explanation.
Real business problem
Production architecture
Deployment + validation
Blogs
Practical guides for choosing the right course, building projects, and preparing for placements and internships in Pune.
Practical comparison of data science coaching in pune, placement in pune, and internship in pune pathways.
Step-by-step roadmap for master agentic ai and gen ai using RAG, LangGraph, CrewAI, and multi-agent systems.
Checklist for selecting data anlsytics course pune or gen ai course pune with real project and interview readiness.
Courses
Choose complete full-stack training or focused specialization.
6 Months
Complete engineering track from Python and statistics to ML, Deep Learning, Gen AI, RAG, LangGraph, CrewAI, n8n, and multi-agent systems.
3.5 Months
Focused program for learners who want only modern Gen AI implementation and agentic system design.
4 Months
Business analysis track blending data analytics foundations with Gen AI-powered productivity and reporting workflows.
Training, research, and placement execution in one coherent system.