AI + Data Science Combo Training
A bundled program combining Generative AI with Data Science — Python, statistics, EDA, SQL, machine learning, LLM concepts, prompt engineering and AI use cases — culminating in a capstone project for modern analytics and AI career paths.
What you learn in this combo
Analytics and AI roles increasingly overlap — data scientists are expected to understand generative AI, and AI practitioners need strong data fundamentals. This combo starts with Python, statistics, exploratory data analysis and SQL, moves through classical machine learning (regression, classification), then introduces generative AI concepts — LLMs, prompt engineering and responsible AI — plus practical use cases like chatbots and document analysis.
Three mini-projects and a full capstone (data pipeline, model/prototype, AI integration, dashboard/report) give you portfolio-ready, demonstrable work across both disciplines.
Why AI + Data Science skills are in demand
Organisations are combining analytics and generative AI initiatives, driving demand for professionals fluent in both.
GenAI Adoption
Enterprises are rapidly adopting LLM-powered tools, creating new AI-focused roles.
Data-Driven Decisions
Every industry needs analysts and data scientists to turn data into decisions.
Combined Skill Premium
Professionals who bridge classical data science and generative AI are increasingly sought after.
Roles and earning potential
Indicative role titles and market salary ranges in India, blended from Generative AI and Data Science market data. Actual packages depend on experience, location and employer.
| Role | Experience | Indicative Salary (India, per year)* |
|---|---|---|
| Data Analyst / Junior AI Associate | 0–2 yrs | ₹4–8 LPA |
| Data Scientist / GenAI Application Developer | 2–5 yrs | ₹10–20 LPA |
| Machine Learning Engineer | 2–5 yrs | ₹10–20 LPA |
| Senior Data Scientist / AI Solutions Lead | 6+ yrs | ₹27 LPA+ |
*Ranges are general market indicators compiled from public job data, not a guarantee of placement or salary.
Detailed AI + Data Science curriculum
24 weeks combining Data Science foundations with Generative AI, each module labelled by sub-course focus.
Week 1-2 Data Science Foundations Python, Statistics & EDA
- Python recap, Pandas and Numpy, data cleaning
- Statistics basics, exploratory data analysis and visualization
Week 3-4 Data Science SQL, Dashboards & ML Foundation
- SQL analytics queries, dashboard basics, Power BI overview
- ML workflow, regression/classification overview, evaluation metrics, first model
Week 5 Data Science Advanced ML Basics
- Feature engineering, model comparison, cross-validation, hands-on tuning
Week 6-7 Generative AI Foundation & Use Cases
- LLM concepts, prompt engineering, GenAI tools, responsible AI
- Chatbots, document analysis and AI for business workflows
Week 8 Generative AI Python AI Libraries
- Working with APIs, embeddings overview, vector search concept, hands-on demo
Week 9-11 Mini Projects
- Analytics dashboard project
- ML model project with evaluation and reporting
- Generative AI mini application with prompt workflow
Week 12-13 Business Case Study & Deployment
- Problem definition, data selection, model/AI approach and presentation
- Model/API deployment basics, environment variables, cloud hosting overview
Week 14-17 Capstone Project
- Capstone planning: architecture and milestones
- Data pipeline and model/prototype build
- AI integration and dashboard/report
- Testing, documentation and final presentation
Week 18-24 Interview & Placement Readiness
- Python/SQL/EDA interview questions and mock practice
- ML and AI use-case interview questions
- Portfolio, GitHub cleanup, resume points, LinkedIn profile
- Final mock interviews and placement sprint
Technologies and tools you will use
Projects you will build
- Analytics dashboard: EDA and visualization presented as business insights.
- ML model project: a trained and evaluated machine learning model.
- Generative AI mini application: a prompt-driven application using LLM APIs.
- Capstone: a combined data pipeline, model/AI integration and reporting project.
- Graduates and professionals targeting analytics/AI roles
- Data analysts wanting to add generative AI skills
- Developers moving into AI/data-focused careers
- Prerequisites: Python basics helpful
Course Completion Certificate
Receive a Placeonix course completion certificate on finishing the program and capstone project.
Placement Assistance
Resume building, Python/SQL/ML/AI interview questions, mock interviews, LinkedIn optimisation and referrals to hiring partners.
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Start your AI + Data Science journey
Contact our admissions team for the syllabus, next batch dates and a free counselling session.
AI + Data Science Combo Training — Frequently Asked Questions
What is the AI + Data Science combo?
It bundles Generative AI with Data Science into a single program — Python, statistics, EDA, SQL, machine learning fundamentals, LLM concepts, prompt engineering and AI use cases — ending in a capstone project.
Why learn Generative AI and Data Science together?
Modern analytics and AI roles increasingly expect both classical data science skills and generative AI fluency. Learning them together builds a broader, more employable skill set than either alone.
How long is the combo program?
Approximately 4–6 months (24 structured weeks) covering Python and statistics through machine learning, generative AI and a capstone project.
Can I take Generative AI or Data Science individually instead?
Yes. Both are also available as standalone courses. The combo suits learners who want the combined analytics + AI career path.
What is the fee for this combo?
Combo pricing and any bundled savings are confirmed at enquiry time — contact admissions for the current combo fee.
Do you provide placement assistance?
Yes — resume building, mock interviews, Python/SQL/ML/AI interview questions, LinkedIn optimisation and referrals to hiring partners.