Databricks Certified Generative AI Engineer Associate Exam Training in Kolkata | Master LLM & GenAI
AEM Institute delivers top-tier Databricks Generative AI Engineer course in Kolkata with 100% hands-on labs on Databricks Workspace, focusing on LLM Ops, RAG pipelines, Mosaic AI, and production deployment. This is the ultimate certification training for Databricks GenAI Associate Exam.
Databricks Generative AI Engineer (Associate): Build LLM-Powered Apps on Data Intelligence Platform
AEM Institute presents the most advanced Generative AI engineering course in Kolkata, centered on Databricks ecosystem. As per the 2026 AI Index Report by Stanford HAI, demand for Generative AI engineers has surged 700% since 2023, with Databricks emerging as the leading unified data & AI platform. In India, enterprises across BFSI, e-commerce, healthcare and logistics are investing heavily in custom GenAI solutions using Databricks Mosaic AI, Lakehouse, and Vector Search. Kolkata's tech corridor is witnessing a 58% YoY growth in GenAI job postings, with roles like GenAI Engineer, LLM Specialist, and RAG Architect commanding salaries 40% above traditional ML engineers. Our Databricks Generative AI course prepares you for the official Databricks Certified Generative AI Engineer Associate exam while building real-world portfolio projects.
The Databricks Generative AI Engineer certification validates your ability to develop, deploy, and monitor LLM-based applications using Databricks' GenAI stack — including Foundation Model APIs, Mosaic AI Model Serving, Vector Search, and Lakehouse Monitoring. This credential is recognized globally and positions you as a specialist in one of the hottest tech domains of 2026.
Key Benefits
Why Databricks Generative AI Engineer?
Where our GenAI Engineers are placed?
Graduates now working at Tiger Analytics, Fractal, Accenture AI, Tredence, Mu Sigma, EY AI Labs, and leading product companies.....
Prerequisites: Python proficiency + basic SQL/Spark recommended. Ideal for:
- Data Scientists / ML Engineers
- Software Engineers moving to AI
- Data Engineers & Architects
- Analytics Professionals
- CS/IT freshers with Python background
What you will master in Databricks Generative AI Engineer Course?
- Generative AI vs discriminative AI, LLM landscape
- Databricks Lakehouse architecture for GenAI
- Key concepts: tokens, embeddings, attention, transformers
- Responsible GenAI & governance on Databricks
- Accessing Mosaic AI Foundation Models (DBRX, Llama 3, Mixtral)
- Prompt engineering & model playground
- Model API serving and cost estimation
- Comparison of open vs proprietary models
- RAG architecture: ingestion, retrieval, generation
- Chunking strategies and embedding models
- Databricks Vector Search index creation
- Building RAG pipelines with LangChain & MLflow
- Vector embeddings and similarity search
- Managing Vector Search endpoints
- Integrating with Delta tables & streaming
- Hybrid search and re-ranking techniques
- Parameter-Efficient Fine-Tuning (LoRA, QLoRA)
- Fine-tuning with Hugging Face Transformers & Databricks
- Using Mosaic AI Training for custom models
- Evaluating fine-tuned models (BLEU, ROUGE, human eval)
- Serving LLMs as scalable endpoints
- Auto-scaling & GPU configuration
- Model monitoring with Lakehouse Monitoring
- A/B testing and canary deployments
- Tracking experiments, parameters, and prompts
- MLflow Model Registry for LLMs
- Automating retraining pipelines with Databricks Workflows
- CI/CD for GenAI applications
- Unity Catalog for AI assets and permissions
- Preventing prompt injection & data leakage
- Cost management for LLM API & GPU usage
- Auditing and compliance for regulated industries
- Multi-vector retrieval & routing
- Agentic RAG with LangGraph & Databricks
- Tool calling and structured outputs
- Evaluation of RAG pipelines (RAGAS, Faithfulness)
- Building chatbots, document Q&A, summarization apps
- Streaming inference and async patterns
- Integration with external APIs & databases
- Deploying as interactive dashboards & APIs
- Analyzing user interaction logs with SQL
- Building feedback tables for reinforcement learning
- Creating dashboards for GenAI metrics
- End-to-end RAG + fine-tuning project on business data
- Implement vector search, model serving, monitoring
- Present project for portfolio & interview
- Mock exam for Databricks GenAI Associate certification
Roadmap to become Databricks GenAI Engineer in Kolkata
The GenAI Engineer role is the most disruptive tech career of the decade. Follow this structured path after joining AEM Institute:
- Solidify Python and SQL fundamentals (refresher provided).
- Understand Databricks Lakehouse and Spark basics.
- Learn Generative AI concepts, prompt engineering, LLM architectures.
- Master RAG pipelines and Vector Search on Databricks.
- Build fine-tuning pipelines using Mosaic AI and Hugging Face.
- Implement LLMOps with MLflow & Databricks Workflows.
- Complete 2 industry-grade projects (Chatbot + Document Q&A).
- Take Databricks Certified Generative AI Engineer Associate exam.
- Crack interviews with tailored GenAI portfolio & mock sessions.
- Join top AI-first companies as Generative AI Engineer.
Upcoming Databricks Generative AI Engineer Batch in Kolkata – AEM
📅 Four Months Program – GenAI Engineer Batch 2026
Starting May 2026 | 4 batches per month | Weekend & Weekday options | Limited seats | EMI available
| 📌 Start Date | ⏱️ Class Duration & Timing | 💰 Course Fees |
|---|---|---|
| 10th May 2026 | Four Months | 10am-1pm [Weekend] | INR 24,950/- |
| 15th May 2026 | Four Months | 6:30pm-8:30pm [Tue & Thu] | INR 24,950/- |
| 25th May 2026 | Four Months | 1pm-4pm [Weekend] | INR 24,950/- |
| 5th June 2026 | Four Months | 5pm-8pm [Weekend] | INR 24,950/- |
| 18th June 2026 | Four Months | 9pm-10:30pm [Mon & Fri] | INR 24,950/- |
For custom batch schedule -
Why Databricks Generative AI Engineer is the career of the future
- Explosive demand: GenAI engineer job postings grew 480% in 2025 (LinkedIn).
- Premium salaries: Average CTC for GenAI specialists in India: ₹22-35 LPA.
- Databricks market leadership: 10,000+ customers including 60% Fortune 500.
- Master production-grade LLM deployment, not just theory.
- Get certified by Databricks — recognized gold standard for GenAI engineering.