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Build LLM apps, RAG systems, AI agents and MCP-powered automations.
4.8ratingNext free demo: Saturday
Industry-led AI, Data & Software Engineering School
Build Real Skills. Become AI Native and Industry-Ready.
Code-first programs in Generative AI, Applied AI & ML, Data Science, Data Engineering, Python and Python Full Stack, with 70% hands-on work and capstone projects.
- 4.7/5 average learner rating
- 2000+ students trained
capstone_pipeline.py
4.7/5
Next free demo
Every Saturday · 7:00 PM (IST)
2000+Students trained
~80%Learners got jobs
4.7/5Average learner rating
6Industry programs
Trusted by students from
VIT
SPIT
Our learners work at
Programs
Programs built for high-growth careers
Six code-first programs, taught live in small cohorts. Pick the work you want to do every day.
- Trending11 Seats Left!
Go from data to deployed models: machine learning, deep learning, MLOps and GenAI.
4.8ratingNext free demo: Saturday - Trending14 Seats Left!
Turn data into decisions with SQL, machine learning, BI dashboards, big data and GenAI.
4.7ratingNext free demo: Saturday - 13 Seats Left!
Build cloud data pipelines with SQL, Python, Snowflake, dbt, PySpark and Airflow.
4.6ratingNext free demo: Saturday - 12 Seats Left!
Build and ship full stack apps with React, FastAPI, Django, Docker and Kubernetes.
4.7ratingNext free demo: Saturday - 10 Seats Left!
Learn Python from the basics and build an AI-powered app in 8 weeks.
4.6ratingNext free demo: Saturday
Why DataVedanta
What Makes Our Learning Experience Different
Small, Dedicated Cohorts
Learn in small, carefully structured cohorts that encourage active participation, meaningful interaction, and personalised learning from industry practitioners.
Dedicated Q&A and Doubt-Clearing Sessions
Every course includes dedicated Q&A sessions beyond regular classes, giving you additional opportunities to ask questions, clarify complex concepts, and strengthen your technical understanding.
Dedicated Learner Community
Be part of a collaborative learning community where you can connect with fellow learners, discuss technical concepts, share resources, solve problems together, and support each other throughout your learning journey.
The problem
What you learn vs. what companies need
Using AI is not the same as building AI. A degree gets you considered. Proof gets you noticed.
| Area | What you know | Industry expectation |
|---|---|---|
| Data | Basic SQL | Complex transformations, pipelines, data quality |
| Backend | Scripts and assignments | APIs, scalability, reliability |
| AI | Models and theory | RAG, agents, evaluation, guardrails |
| Engineering | Submit the project | Test, deploy, monitor, debug |
Data
- What you know
- Basic SQL
- Industry expectation
- Complex transformations, pipelines, data quality
Backend
- What you know
- Scripts and assignments
- Industry expectation
- APIs, scalability, reliability
AI
- What you know
- Models and theory
- Industry expectation
- RAG, agents, evaluation, guardrails
Engineering
- What you know
- Submit the project
- Industry expectation
- Test, deploy, monitor, debug
The gap isn't about tools. It's about engineering depth.
How we're different
Generic courses vs DataVedanta
| Generic courses | DataVedanta | |
|---|---|---|
| Generative AI | GenAI basics | GenAI + Agents + n8n Automation |
| Machine learning | Models in notebooks | Applied ML + Production Systems + MLOps |
| Projects | Small exercises | Hands-on projects and capstones on real business use cases |
| Deployment | Rarely covered | FastAPI, Docker, cloud deployment and monitoring |
Generative AI
- Generic courses
- GenAI basics
- DataVedanta
- GenAI + Agents + n8n Automation
Machine learning
- Generic courses
- Models in notebooks
- DataVedanta
- Applied ML + Production Systems + MLOps
Projects
- Generic courses
- Small exercises
- DataVedanta
- Hands-on projects and capstones on real business use cases
Deployment
- Generic courses
- Rarely covered
- DataVedanta
- FastAPI, Docker, cloud deployment and monitoring
How should you learn
A 4-stage method
Stage 1
Choose your path
Pick the program that matches the work you want to do every day.
Stage 2
Build something real
Learn by building, with about 70% of your time spent hands-on.
Stage 3
Ship it
Test, deploy and monitor your work with production tools.
Stage 4
Show your work
Finish with capstone projects and documented code you can share.
Learners
What our learners say
Priya SharmaJunior AI EngineerGenerative AI Engineering The Generative AI training helped me understand how LLMs and RAG-based applications work in practice. The hands-on learning strengthened my understanding of modern AI engineering and helped me prepare for opportunities in this growing field. I subsequently secured a role as a Junior AI Engineer at a product startup.
Ananya IyerData AnalystData Science The Data Science sessions helped me build confidence in Python, data analysis, and solving technical problems. The practical explanations helped me connect theoretical concepts with real-world applications. I'm excited to have secured my first role as a Data Analyst at a fintech company.
Rohan MehtaMachine Learning EngineerApplied AI & ML Engineering The Machine Learning training gave me a stronger foundation in model development, evaluation, and practical problem-solving. It helped me strengthen my technical skills and approach interviews with greater confidence. I was subsequently able to secure a new role as a Machine Learning Engineer, marking an important milestone in my career.
Karthik NairPython Full Stack Going from a React frontend to a deployed Python backend in one program was exactly what I needed.
Who it's for
Who these programs are for
- College students in their 1st, 2nd, 3rd or 4th year
- Recent graduates starting a career in tech
- Anyone moving into tech from another career
- Working professionals who want to add AI, data or full stack skills to their current role
- Developers who want to move from using AI to building it
Free demo
See a class before you join
Every program has a free live demo every Saturday at 7:00 PM (IST). Book your seat here, then message us on WhatsApp to get the meeting link.
- A live class, taught the way our programs are taught
- Ask questions about the curriculum and projects
- Free, with no payment needed