All Internships

Generative AI

LLM

RAG

Generative AI Engineering Internship

₹199₹299 · 1 Month · Online

Enroll Now

A project-driven Generative AI internship. Start by calling LLM APIs, writing reliable prompts, and getting structured output; move into embeddings, semantic search, and retrieval-augmented generation (RAG). Month 3 goes…

4 modules·14 lessons·5 tasks
No ratings yet

Choose duration

Early Bird Offer

₹199

₹299
Enroll Now
  • 1 quiz
  • 3 projects
  • 1 coding exercise
  • Lifetime access
  • Certificate on completion

What You'll Learn

Call LLM APIs reliably and write effective zero-/few-shot and system prompts
Get structured, validated output (JSON mode, function/tool calling) from a model
Understand tokens, context windows, temperature, latency, and cost trade-offs
Use embeddings and a vector database to build semantic search
Build retrieval-augmented generation (RAG) pipelines with citations and grounding
Evaluate LLM apps: retrieval hit-rate, faithfulness, accuracy, and LLM-as-judge
Build tool-using agents that plan and act over multiple steps
Fine-tune / LoRA-adapt a model and measure before/after improvement
Defend against prompt injection, redact PII, and add guardrails
Serve and deploy a production AI app with caching, streaming, and cost monitoring

This 1 Month Internship Includes

1 quiz
3 projects
1 coding exercise
Lifetime access
Certificate on completion

Internship Content

4 modules · 14 lessons · 5 tasks

  • 1.1: How LLMs work (just enough) Free
  • 1.2: Calling an LLM API
  • 1.3: Prompt engineering
  • 1.4: Tokens, context, temperature & cost

Prerequisites

  • 01Comfortable writing Python (functions, dicts/lists, virtualenvs, pip)
  • 02Comfortable using a terminal and Git/GitHub
  • 03An API key from an LLM provider (free tier is fine) and a code editor; basic ML awareness helps but isn't required

About This Internship

A project-driven Generative AI internship. Start by calling LLM APIs, writing reliable prompts, and getting structured output; move into embeddings, semantic search, and retrieval-augmented generation (RAG). Month 3 goes deep: production RAG with evaluation, tool-using agents, fine-tuning/LoRA, multimodal apps, safety and guardrails, and serving, finishing with a deployed full-stack AI capstone. Every project ships with its own evaluation harness and lands in your GitHub portfolio.

Ready to start Generative AI Engineering Internship?

1 Month · ₹199 · Lifetime access · Certificate on completion

Enroll Now

Generative AI Engineering Internship: FAQs

Is the Generative AI Engineering Internship online?
Yes. It is fully online and you work on your own schedule within your plan (1 month or 3 months). Lessons, project submissions and quizzes all happen on DevIt.
How long is the Generative AI Engineering Internship?
You choose 1 month or 3 months when you enrol. The 1-month plan has 3 projects, 1 quiz and 1 coding exercise; the 3-month plan has 11 projects, 3 quizzes and 2 coding exercises.
How much does the Generative AI Engineering Internship cost?
₹199 for 1 month and ₹299 for 3 months, paid once when you enrol. There is no stipend: it is a training internship, and the fee covers projects, quizzes, the offer letter and the certificate.
Do I need experience for the Generative AI Engineering Internship?
The track lists these prerequisites: Comfortable writing Python (functions, dicts/lists, virtualenvs, pip); Comfortable using a terminal and Git/GitHub; An API key from an LLM provider (free tier is fine) and a code editor; basic ML awareness helps but isn't required.
What will I build in the Generative AI Engineering Internship?
Projects include Prompt Engineering Playground, Structured Data Extractor, Semantic Search Engine and RAG over Your Own Documents, plus 7 more on the longer plan.
Do I get a certificate for the Generative AI Engineering Internship?
Yes. Finish every task and pass the quizzes to get a certificate with a unique ID that anyone can verify on DevIt. You can also download an offer letter from your dashboard once you enrol.

Compare other internships