Become an AI Agent Development Engineer
₹5,00,000 – ₹12,00,000 LPA Verified Average Starting Remuneration
Acquire the production engineering proficiency required to architect, quantize, and orchestrate autonomous multi-agent systems. Master hierarchical state machines, deterministic tool calling schemas, and air-gapped local model serving.
Autonomous Agents
Engineer resilient LangGraph and CrewAI conversational loops, supervisor routers, and hierarchal memory states.
Quantized Inference
Serve fine-tuned open-weights models locally on physical workstation GPUs using optimized Ollama & vLLM engines.
Audited Placement
Graduates gain direct talent roster recognition and referral interviews across active incubated Indian startup developer squads.
What You'll Master
1. Multi-Agent Systems Orchestration
Design collaborative worker agent topologies utilizing hierarchical, sequential, and conversational supervisory routing patterns. Build robust stateful memory preservation loops.
- • Stateful cyclic graph definitions using modern LangGraph & CrewAI
- • Dynamic supervisor routing loops and autonomous task delegation
- • Advanced context window compression, pruning & summarization
2. Tool Integration & Function Calling Schemas
Bind large language models deterministically to external production APIs, internal relational databases, and secure Docker execution sandboxes with rigid validation.
- • Writing strict input/output validation tool schemas using Pydantic
- • Executing arbitrary shell scripts inside isolated container environments
- • Bypassing LLM JSON parsing bugs via deterministic structured formatting
Taught by Active AI Systems Architects
We categorically reject passive academic lecturing by theorizing non-practitioners. Your training sprints are evaluated directly by senior software engineers who actively maintain open-source AI repositories and engineer commercial production systems across our venture studio.
Our instructors operate dual operational mandates: conducting weekly technical audits for incubated venture studio startups and leading our technical apprenticeship cohorts. You learn production code conventions from practitioners who battle active computational bottlenecks, GPU out-of-memory errors, and vector indexing latency daily.
Production Projects You'll Ship to Your Git Repository
Autonomous Multi-Agent Support Desk
An industrial-strength automated helpdesk architecture using LangGraph to classify incoming customer support threads, query live PostgreSQL schemas, perform hybrid vector context lookups, and execute authenticated API remediation actions to resolve client tickets without human operator intervention.
Market Signal Extractor & Parser
An autonomous researcher worker team using CrewAI to monitor unstructured online corporate announcements, parse extensive financial PDFs, analyze sentiment divergence dynamics, and format rigorous JSON intelligence signals directly into PostgreSQL database analytical tables.
Transparent Indian Tuition & Zero-Cost Financing
We maintain absolute pricing transparency without hidden enrollment fees or inflated post-placement income share agreements. View our direct upfront tuition or structure flexible Zero-Cost EMI schedules through verified Indian financial institutions.
Includes full synchronous cohort sessions, GPU lab compute allocation, project review audits, and permanent credential validation registry listings.
- Immediate lifetime access to recorded sprint architectures
- Dedicated weekly 1-on-1 code review feedback sessions
- Direct entry into our vetted startup engineering recruitment pipeline
Structured through authorized banking partnerships without processing charges or collateral demands for verified Indian engineering candidates.
- Instant eligibility evaluation with minimal paperwork
- No upfront downpayment required to initiate technical lab access
- Full equivalence to upfront tuition benefits without discrimination
Production Technologies Mastered
Frequently Asked Questions
Incoming candidates must possess demonstrated working fluency in core Python syntax (functions, classes, dictionaries, exception handling) and basic REST API interaction. Candidates without foundational syntax experience should begin directly in our introductory Launchpad programming curriculum.
While our technical curriculum thoroughly covers external API function calling, we place rigorous engineering emphasis on configuring localized open-weights inference (Ollama and vLLM runtimes). Serving weights locally guarantees total corporate data privacy, zero recurrent token API billing, and complete algorithmic customization.
Yes. Every issued engineering credential contains a unique cryptographic validation UUID that HR managers and technical team leads can verify instantly by accessing our open institutional portal at dbert.online/verify.
You do not submit static toy academic homework files. Capstones are evaluated through live GitHub pull requests reviewed by our senior practice instructors against real corporate software acceptance criteria, ensuring an auditable production contribution log.
Yes. Successful graduates who demonstrate consistently high code quality metrics during capstone evaluations are admitted directly into our audited talent roster, gaining expedited referral access to engineering squads across our incubated Indian AI venture studio startups.
Launch Your AI Agent Engineering Career
Ready to design resilient multi-agent state machines, serve open-weights models locally, and deploy auditable software to your personal Git repository? Enrol in DBERT Industrial Training today.