Career direction
Target-role clarity before CV and interview preparation.
Placements & career support
Career support built around projects and preparation.
Prepare for hiring conversations through role clarity, portfolio evidence, mock interviews and profile improvement. Career support does not guarantee employment.
Portfolio evidence
Applied work learners can demonstrate and explain.
Interview readiness
Mock interviews, project walkthroughs and profile reviews.
Career planning
Plan your next step around your target role and current skills.
Readiness reviews
Prepare through practical reviews.
These are internal preparation activities, not confirmed employer recruitment events. Contact admissions for availability.
Talk to the career support teamAvailability on request
AI, data and BI readiness review
Online screening + mentor review
Data AnalystBI DeveloperAI Automation Intern
Online practice + mentor review. Roles: Data Analyst, BI Developer, AI Automation Intern. Preparation: Dashboard portfolio check, SQL practice, Python basics and business case discussion.
Ask about preparationAvailability on request
Cloud, DevOps and cybersecurity readiness review
Lab review + technical interview practice
Cloud SupportDevOps TraineeSOC Analyst
Lab review + technical interview practice. Roles: Cloud Support, DevOps Trainee, SOC Analyst. Preparation: AWS/Linux labs, networking fundamentals, incident walkthroughs and CV positioning.
Ask about preparationAvailability on request
Software engineering readiness review
Project demo + code walkthrough
Frontend DeveloperMERN DeveloperSoftware Trainee
Project demo + code walkthrough. Roles: Frontend Developer, MERN Developer, Software Trainee. Preparation: React projects, API design, database flow, authentication and deployment explanation.
Ask about preparationPlacement support process
Clear steps from learning to employer-facing readiness.
Learners progress through role selection, portfolio review, profile preparation, interview practice and suitable opportunity updates.
Role clarity
Map the learner's background to realistic AI, data, cloud, software, cybersecurity or business AI roles.
Profile readiness
Improve CV, LinkedIn, GitHub, portfolio links and project summaries before employer visibility.
Project proof
Use capstones, dashboards, apps, labs and reports as evidence behind every claimed skill.
Interview practice
Run mock interviews, project walkthroughs, communication practice and role-specific question review.
Drive coordination
Share relevant openings, partner drives and employer requirements when learners meet readiness criteria.
Placement policy
Prepare your profile for placement support.
Share your target role and current readiness so the team can guide the next step.