🚀 New Cohort 2025 Cloud • AI • Internship

Upskilling for the Cloud & AI Era

From academic theory to corporate practice. A 3-phase program for B.Tech/B.E., M.Tech, MCA & BSc/BCA students to become job-ready with multi-cloud, SDLC, and real internship exposure.

500+

Registered Companies

10,000+

Students

2,500+

Active Internships

8,000+

Successful Placements

eGenAI Tech Catalyst Program

Target: Final / Pre-final year students looking for Cloud, AI/ML, Full Stack, and internship opportunities.

Core Value: Multi-Cloud fluency + Project portfolio + Corporate immersion.

Certifications: AZ-900 • AWS CCP • GCP CDL

Ideal for: Colleges, TPOs, and Training & Placement Cells.

Three-Phase, Industry-Linked Structure

We build foundation, application, and experience sequentially — so students don’t just learn cloud & AI, they prove it with a capstone and an actual internship.

Phase 1 — 4 to 6 Weeks

Skill Training (Multi-Cloud)

Core services from Azure, AWS, and GCP + Git + Agile fundamentals.

Outcome: Prepared for AZ-900 / AWS CCP / GCP CDL.

Phase 2 — 8 to 12 Weeks

Capstone Project

Students ship 1 high-quality solution aligned to current eGenAI project pipeline.

Outcome: Portfolio-grade, cloud-hosted,AI/ML projects.

Phase 3 — 3 to 6 Months

Corporate Immersion

Interns work like Junior Analysts on active, non-critical projects.

Outcome: Internship certificate + performance review.

Multi-Cloud Fluency Tracks

Students become cloud-agnostic, which directly improves placement opportunities.

Microsoft Azure (AZ-900)

  • Azure VMs, App Service, Functions
  • Microsoft Entra ID, RBAC
  • Azure Policy, Cost Management

AWS (Cloud Practitioner)

  • EC2, Elastic Beanstalk, Lambda
  • AWS IAM, Security Groups
  • Organizations, Billing, Infra as Code concepts

Google Cloud (CDL)

  • Compute Engine, App Engine, Cloud Functions
  • Cloud Storage, Cloud SQL, Firestore
  • Cloud IAM, Resource Hierarchy

Developer Tooling

  • Git & GitHub (mandatory)
  • Agile / Scrum ceremonies
  • CI/CD awareness

Capstone: Real, Deployable, Company-Grade

Every participant must build and deliver one comprehensive solution.

AI / ML Projects

Build, train, and deploy ML models using Azure ML or Amazon SageMaker.

Deliverable: Working ML workflow + report + Git repo.

Full Stack / Application

Secure, scalable web apps with REST/GraphQL and cloud deployment.

Deliverable: Hosted app + API docs + code review.

Cloud & DevOps

IaC (Terraform) + CI/CD (GitHub Actions / Azure DevOps) for automated delivery.

Deliverable: Infra repo + pipeline + demo.

Corporate Immersion & Mentorship

Students are mapped to senior eGenAI consultants who run daily guidance, code reviews, and weekly professional workshops.

What interns actually do

• Join active, non-critical projects
• Contribute code and documentation
• Attend Agile ceremonies
• Present to eGenAI leadership at the end

85%+ Cloud Certification Success
4.0 / 5 Capstone Code Quality Goal
4.5 / 5 Program Satisfaction
Placement Interview Assistance & Readiness

Partner With eGenAI

For TPOs, colleges, universities, and training institutes looking to embed a cloud + AI + internship program.

Email: info@egenai.in

Phone: +91 9030699691

Proposal: eGenAI Tech Catalyst Program | Proposal for Academic Partnerships

👉 Share your institute name, student count, and preferred start month. We'll align batches and certification tracks (Azure / AWS / GCP).