Data Science with Gen AI
This program elevates standard Data Science by integrating Generative AI technologies. You will cover Deep Learning fundamentals, LLM-powered data analysis, Prompt Engineering for data tasks, RAG-based knowledge systems, automated EDA with Gen AI tools, and building intelligent data pipelines using LangChain and OpenAI APIs.
Program Highlights
Target Audience
Developers, Data Analysts, Data Science students, and Tech Engineers wanting to build Gen AI-powered data systems.
Prerequisites
Good foundation in Python programming and basic machine learning concepts.
Job Roles & Careers
Gen AI Data Scientist, AI Engineer, LLM Data Specialist, NLP Developer.
Salary Outlook
₹8 LPA - ₹20 LPA
Detailed Course Syllabus
- Introduction to Artificial Neural Networks (ANN) and Deep Learning
- Perceptron, Activation Functions (ReLU, Sigmoid, Softmax)
- Backpropagation algorithm, Loss functions, and Optimizers (Adam, SGD)
- Building deep neural nets with PyTorch/TensorFlow
- Introduction to Large Language Models (GPT, Gemini, Llama)
- Prompt Engineering patterns: Few-shot, Chain-of-thought, Self-consistency
- Using Gen AI for automated EDA, data cleaning, and feature engineering
- Structured output generation: JSON schemas and data validation
- LangChain framework: Chains, Agents, and Memory management
- Building AI-powered data analysis chatbots and report generators
- Connecting LLMs to databases for natural language SQL querying
- Retrieval Augmented Generation (RAG) for domain-specific data insights
- Convolutional Neural Networks (CNN) for image analysis
- Text preprocessing, tokenization, and word embeddings
- Transformer Architecture and HuggingFace model integration
- Multi-modal AI: Combining vision and language models
- Fine-tuning open-source LLMs (LoRA, QLoRA) on custom datasets
- Model saving, quantization, and optimization techniques
- Deploying Gen AI-powered apps using Streamlit, FastAPI, and Docker
- LLM security, guardrails, and responsible AI practices
Batches & Timings
Weekday Batch
Monday - Friday (1:00 PM - 3:00 PM)
Weekend Batch
Saturday & Sunday (11:00 AM - 3:00 PM)
Career Benefits & Outcomes
Building Gen AI-powered data analysis pipelines using LangChain & OpenAI
GPU-powered cloud workspace access for model training and fine-tuning
Real-world projects: AI-driven EDA, automated reporting, and intelligent dashboards
Guidance from working Gen AI practitioners and industry researchers
Direct corporate interview scheduling for senior AI & Data Science roles
Quick Summary
- Duration: 3 Months
- Format: Classroom & Online
- Placement Support: 100% Assistance
- Batch: Weekday / Weekend
- Live Projects: Gen Projects
Quick Enquiry
Have questions? Ask our academic counselors.