Data Science & AI with GenAI · Live online · 24 weeks · Mentor-led

Data Science & AI with GenAI.

A 24-week, part-time live program that takes you from first steps in Python to statistics, machine learning, an introduction to deep learning, and practical GenAI — including prompting, RAG and a simple agent — ending in a capstone you can show. Built for a wide audience: no prior programming is required. This is a data-science path, not a BI-only analytics course and not a production LLM engineering program.

Learn Python, statistics and data analysis by doing weekly labs, not only watching videos
Train, evaluate and explain supervised and unsupervised models — and say clearly when a model is not good enough
Add practical GenAI: prompting, a simple RAG prototype and a small agent, then finish a capstone

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Part-time, live online · 24 weeks · 8–10 hours a week · Fees and EMI options shared on a counsellor call.

Live online · Mentor-led

24 weeksDuration
8–10 hours a weekTime commitment
Part-time, live onlineFormat
Recordings if you miss a sessionAttendance

Join live from anywhere. Weekend-morning batches are offered for learners in the US; evening batches (India time) for the Gulf and Africa; Europe-oriented groups typically meet after work and on Saturdays.

Outcomes

What you will be able to do.

These are skills and work products from the program — not placement, salary or promotion promises.

01
Write Python to clean, explore and visualise a dataset, and keep a reproducible notebook
02
Use basic statistics honestly: describe uncertainty, and avoid over-claiming from a single number
03
Train supervised and unsupervised models, split data properly, and evaluate them with the right metrics
04
Explain, in plain language, what a model can and cannot support for a decision
05
Build a small GenAI prototype: a prompted workflow, a simple RAG path, and a simple tool-using agent with a human review step
06
Leave with a capstone that combines analysis or a model with a written narrative — not a placement promise

Who it's for

A good fit, and when it is not.

Beginner-friendly to job-ready practice; no prior programming required

This program is for

Career starters and career-switchers who want a structured path into data science and applied AI
Analysts who already work with spreadsheets or dashboards and want to add statistics, machine learning and GenAI
Professionals who want to go beyond using ChatGPT and learn to analyse data, build models and apply LLMs carefully
Learners who can commit 8–10 hours a week for 24 weeks, joining live from anywhere

This program is not for

People who mainly want spreadsheets, SQL and BI dashboards. That shorter path is Data Analytics with AI (16 weeks)
Engineers who already want to ship production RAG systems, multi-agent apps or LLMOps. See GenAI & Agentic AI Engineer or LLMOps & AI Evaluation
People seeking placement or salary guarantees — we do not offer those

Starting point

No prior programming or machine-learning experience is required; Python is taught from the start
Comfort with school-level maths (percentages, averages and simple graphs) is helpful
You will need a laptop that can run a browser and a Python environment, plus 8–10 hours a week

Curriculum

Week by week, 24 weeks.

8–10 hours a week, live and mentor-led. Open a week for topics, labs and what you ship.

- Notebooks, variables, types and control flow
- Reading and writing tabular files
- How a script differs from a spreadsheet, and why that helps
- Using an assistant to explain an error, then fixing it yourself
LabLoad a sample table in a notebook and print a sound overview.
You shipA starting notebook with checks.
ToolsPython, Jupyter

Projects

Work you can take with you.

Cleaned dataset and exploratory brief
A documented, cleaned table, charts and a question the data can actually support. This is the foundation for later modelling.
Evaluated machine-learning model
A supervised model with a proper split, a baseline, metrics, error analysis and a written statement of limits.
Capstone: analysis, model and optional GenAI
A reproducible notebook, a short written narrative, and — if it earns its place — a simple RAG or agent prototype with an evaluation note. This is coursework, not a job guarantee.

Tools

What you will practise with.

These are tools used in the sessions. Product and company names are trademarks of their respective owners and are shown for identification only; no affiliation is implied.

Analysis

Python
pandas
Jupyter
SQL

Machine learning

scikit-learn

Deep learning and GenAI practice

PyTorch
ChatGPT

Format and schedule

Part-time, live, with regional batches.

Part-time and live online, in a small mentor-led cohort. Weekend-morning batches are offered for learners in the US. Evening batches (India time) are offered for learners in the Gulf and Africa. Europe-oriented groups typically meet after work and on Saturdays. Recordings are shared if you miss a live session. Exact days, times and the next cohort date are confirmed on a counsellor call.

Fees and EMI options shared on a counsellor call. A Datamarcos certificate of completion is awarded when you finish the program work. Cohort start dates are shared on a counsellor call — we do not publish a date until then.

Lead mentor

Mentor

Deepesh Mishra

Founder, Datamarcos · Solution Architect · Corporate Trainer · BITS Pilani alumnus

Deepesh is the founder and lead mentor at Datamarcos. He has worked as a solution architect and corporate trainer in data and AI, and has trained teams at 200+ organizations. Live sessions on this program are mentor-led, with practical, project-based delivery.

LinkedIn profile

FAQ

Questions, answered.

Can't find yours? A counsellor will answer it on a short call.

Ask a counsellor

How is this different from Data Analytics with AI?

Data Analytics with AI is a 16-week program focused on spreadsheets, SQL, Python for analysis, BI dashboards and careful AI assistance. Data Science & AI with GenAI is a 24-week path that goes further into statistics, machine learning, an introduction to deep learning, and practical GenAI (prompting, a simple RAG prototype and a simple agent), ending in a data-science capstone.

How is this different from GenAI & Agentic AI Engineer?

GenAI & Agentic AI Engineer is an engineering program for people who want to build and deploy LLM applications, production RAG and multi-agent systems. This program is a data-science path: Python, statistics and machine learning come first, and GenAI is taught as a practical additional tool, not as a production engineering syllabus.

Do I need prior programming experience?

No. Python is taught from the start. Comfort with school-level maths is helpful. You will need a laptop and 8–10 hours a week for 24 weeks.

How long is the program?

Twenty-four weeks, part-time and live online, at about 8–10 hours a week including live sessions and labs.

Are the sessions live?

Yes. Sessions are live and mentor-led, with recordings if you miss a class. Weekend-morning batches are offered for learners in the US, with other regional times available. Exact times are confirmed on a counsellor call.

Will this get me a job or a salary increase?

We do not promise placement, salary or promotion outcomes. The program is designed so you can show a capstone — a notebook, a narrative and the checks you ran.

Is this an official university or vendor certificate?

No. Completing the program leads to a Datamarcos certificate of completion. We do not award a university, government or vendor certification.

What about fees?

Fees and EMI options shared on a counsellor call.

Is there a refund policy?

Yes. Datamarcos has a 7-day refund policy. If the program is not right for you, ask within 7 days of enrollment.

The full program guide

Read the 24 weeks curriculum.

Modules, projects, tools and format in one PDF. No prices are listed; fees are shared on a counsellor call.

Download PDF

Full program guide