§ 01 — CAREER TRACK rev: 2026.2

Become a Generative AI Systems Engineer

₹5,50,000 – ₹14,00,000 LPA Verified Average Starting Remuneration

Master commercial LLM multi-provider orchestration, sliding-window context compression, and deep web research agents. Ship production-grade software grounded in our open-source intern repository architecture.

Key Course Highlights

Multi-Provider LLM Core

Architect unified interfaces orchestrating OpenAI, Anthropic, and Gemini models with intelligent fallback hierarchies.

Deep Research Engines

Build autonomous recursive search agents that scrape web targets, cross-verify evidence, and synthesize cited reports.

Live Intern Proof-of-Work

Contribute directly to production codebases modeled after Gayatri-AI, building an auditable GitHub portfolio.

Reference RepositoryGayatri-Education / Gayatri-AI

Our curriculum is directly derived from what previous DBERT interns built: a full-scale GenAI system featuring deep research loops, memory managers, SQLite context storage, and streaming UI components.

Multi-Provider LLMsContext Sliding WindowRecursive Web ResearchStreaming SSE
Inspect Live GitHub Repo →
§ 02 — TECHNICAL CURRICULUM ARCHITECTURE

What You'll Master

1. Context Management & Memory Preserving Loops

Solve the context window bottleneck. Build algorithms that selectively summarize conversation turns, dynamically prune irrelevant history, and persist structured vectors in SQLite.

  • • Sliding window token compression & dynamic context trimming
  • • Long-term conversational memory with SQLite transactional stores
  • • Deterministic structured extraction and JSON schema enforcement

2. Deep Research Agents & Real-Time Search Grounding

Bind large models to live search engines. Design recursive search trees that query Google/Bing, scrape unstructured HTML targets, and generate cited analytical briefs.

  • • Autonomous query decomposition & multi-source web crawlers
  • • Cross-source verification pipelines & citation attribution
  • • Real-time Server-Sent Events (SSE) token streaming to frontend UIs
§ 03 — CAPSTONE PRODUCTION PROJECTS

Production Projects You'll Ship to Your Git Repository

Capstone Project 1 · Deep Research

Autonomous Deep Research Synthesis Engine

An industrial-grade research agent that accepts complex prompts, formulates multi-angle search queries, parallelizes web scraping, validates source veracity, and writes comprehensive cited briefs.

Capstone Project 2 · Multi-Modal & Memory

Enterprise GenAI Assistant with Persistent Memory

A multi-provider generative AI assistant built with LiteLLM, persistent SQLite memory, sliding context management, and a real-time streaming web UI deployed to the cloud.

§ 04 — TUITION & ADMISSION

Transparent Indian Tuition & Flexible EMI

Complete upfront transparency without hidden fees. Access live cohort sprints, GitHub code reviews, and expedited venture studio placement referrals.

One-Time Upfront Tuition
₹32,000 INR (All Inclusive)

Includes full synchronous cohort sessions, API compute credit allocations, project audits, and permanent credential registration.

Explore Launchpad Track →
Zero-Cost EMI
9-Month Installment Schedule
₹3,555 / month (₹0 Interest)

Structured through verified Indian banking partnerships with minimal documentation and zero interest surcharge.

Inquire About EMI Financing
§ 05 — PRODUCTION TECHNOLOGIES

Production Technologies Mastered

OpenAI APIAnthropic ClaudeGoogle GeminiLiteLLMSQLitePythonFastAPIBeautifulSoupSSE StreamingGit/GitHubDocker
§ 06 — KNOWLEDGE BASE

Frequently Asked Questions

Candidates should have foundational familiarity with Python syntax (variables, functions, loops, basic dictionary manipulation) and basic HTTP API concepts. If you are starting from zero, our 2-month Launchpad will establish all prerequisites.

You master both. The curriculum teaches multi-provider API abstraction (OpenAI, Anthropic Claude, Google Gemini) alongside local open-weights execution, intelligent context sliding windows, and deep search synthesis.

You will build and deploy a production-grade Generative AI research assistant based on our active open-source intern repository (Gayatri-AI), complete with multi-provider fallbacks, streaming web search grounding, and persistent SQLite memory.

Every credential issued by DBERT Labs contains a cryptographically signed UUID that HR managers and tech recruiters can verify in real-time at dbert.in/verify.

High-performing candidates who complete and push their reviewed code to GitHub become directly eligible for our competitive, paid DBERT Fellowship and expedited interviews across our venture studio startups.

§ 07 — ENROLL IN INDUSTRIAL TRAINING

Launch Your Generative AI Career

Ready to build commercial GenAI systems, engineer context management loops, and ship live GitHub repositories? Enroll today in DBERT Industrial Training.

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