Capability · Internships

AutoGen internships for B.Tech students in Delhi

AutoGen internships go to students who can show working code, not just a transcript. For B.Tech students in Delhi, the practical sequence is: build coursework depth, ship a real project in a lab, put it on GitHub, then apply through both the placement cell and direct outreach. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, the coursework side is documented coursework depth inside B.Tech CSE (AI & ML), with project work running through the AICTE IDEA Lab.

At a glance

Topic
AutoGen
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

What students actually build

  • Conversational multi-agent patterns feed into the orchestrator capstones students build.
  • Agent builds are entered into hackathons including the Smart India Hackathon.

How VSET teaches AutoGen

AutoGen is an open-source framework for building conversational multi-agent applications where agents exchange messages, call tools and involve humans in the loop. It centres on agent conversation patterns. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • AutoGen is one of the agent frameworks documented in the VSET AI curriculum at learn.engineering.vips.edu.
  • It is taught alongside LangGraph and CrewAI for comparison of orchestration models.
  • The ~100 page A2A/agent-protocols library gives the messaging background AutoGen relies on.
  • Delivered inside the GGSIPU-affiliated B.Tech CSE (AI & ML) track at VSET.

How students find them

Two channels, used together: the VIPS-TC placement cell, which coordinates campus internship drives, and direct outreach — applying to startups and labs with a specific project to point at. Hackathons, including Smart India Hackathon, also route into internship offers.

Where AutoGen skills lead

Graduates applying AutoGen skills typically target roles such as AI Agent Engineer, LLM Application Developer, AI Engineer, Applied AI Developer, Automation Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

Frequently asked questions

When should I start applying for AutoGen internships?

Most students target the summer after second or third year. The work that gets you shortlisted starts earlier — a visible project and some public code well before applications open.

What do AutoGen internship recruiters actually look at?

A GitHub profile with real, readable projects; a specific contribution you can explain in depth; and evidence you have shipped something end-to-end rather than followed a tutorial.

Is AutoGen covered at VSET?

Yes — it appears in the published AI curriculum at learn.engineering.vips.edu alongside LangChain, LangGraph, CrewAI and LlamaIndex.

Which framework is used for the capstone orchestrators?

The documented capstone pattern names LangGraph for multi-agent orchestrators; AutoGen is covered as another conversational multi-agent approach.

Why teach several agent frameworks?

Because the underlying protocols matter more than any one library — VSET pairs the frameworks with a 160+ page MCP library and a ~100 page agent-protocols library.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31

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