LEARN. PRACTISE. APPLY.

Don’t just learn.
Build what’s next.

Build expertise in data, cloud, AI agents, and responsible AI.
Learn through practice, solve real problems, and apply your skills
through forward deployed engineering.

Stay curious.Build boldly.Keep learning.
Learning for your team? Discover corporate training
A student keeps learning through practiceA student reads, types and takes notes. Six learning areas surround the learner: Data Science, Data Engineering, Full Stack Engineering, Cloud Engineering, Generative AI and LLMs, and AI Agents. Responsible AI and Forward Deployed Engineering form a shared foundation beneath the lessons. Practice connects knowledge with real-world capability.DATA SCIENCEDATA ENGINEERINGCollectTransformDeliverFULL STACKENGINEERINGCLOUD ENGINEERINGGENERATIVE AI& LLMsAI AGENTSPlanActReviewRESPONSIBLE AIEvaluate · Protect · ReviewFORWARD DEPLOYED ENGINEERINGUnderstand the problemBuild with usersDeploy & improveLEARNPRACTISEAPPLY
FIND YOUR PROGRAM
THE TOOLS.THE POSSIBILITIES.
  • Python
  • React
  • AWS
  • TensorFlow
  • Apache Spark
  • SQL
  • Next.js
  • Azure
  • PyTorch
  • Apache Kafka
  • pandas
  • TypeScript
  • Google Cloud
  • OpenAI
  • Apache Airflow
  • NumPy
  • Node.js
  • Docker
  • Hugging Face
  • dbt
  • scikit-learn
  • Vue.js
  • Kubernetes
  • LangChain
  • Databricks
  • Jupyter
  • Angular
  • Terraform
  • LlamaIndex
  • Snowflake
  • Matplotlib
  • Django
  • GitHub Actions
  • MLflow
  • PostgreSQL
  • Seaborn
  • FastAPI
  • Jenkins
  • Keras
  • MongoDB
  • Plotly
  • Express
  • Linux
  • Streamlit
  • Redis
  • Power BI
  • Flask
  • Git
  • XGBoost
  • MySQL
  • Tableau
  • Tailwind CSS
  • JavaScript
  • SciPy
FIND YOUR STARTING POINT

Three choices.
One clear direction.

Tell us where you are and what you want to build. We’ll suggest a learning path and program format.

01 Which best describes you?
02 How much experience do you have?
03 What would you most like to do?
01 / FIND YOUR DIRECTION

One curious mind.
Limitless directions.

Start with what excites you.
Build the skills to see it through.

01

Data Science

Turn curiosity into insights. Make data tell a story.

Python · Statistics · Machine Learning
Explore the full path
02

Data Engineering

Build the systems that keep the world’s data moving.

SQL · Spark · Data Pipelines
Explore the full path
03

Full Stack

From your first line of code to your next big idea.

React · Node.js · Databases
Explore the full path
05

Artificial Intelligence

Understand intelligence. Create what comes next.

Deep Learning · GenAI · LLMs
Explore the full path

A little curious
about everything?

That’s a great place to start.
Get to know our approach to learning.

Find your starting point
02 / CHOOSE YOUR PROGRAM

The right path.
Built around your stage.

Learn for a career move, a stronger start,
or a more capable team.

CAREER ACCELERATOR

Grow without putting your career on pause.

Structured programs that help working professionals build current technical skills, create proof of work, and prepare for their next role.

  • Mentor-led learning sessions
  • Applied portfolio projects
  • Interview and profile preparation
Discuss a career program
AVAILABLE LEARNING AREAS
01Data Science
02Data Engineering
03Full Stack
04Cloud Computing
05Artificial Intelligence
BUILT INTO THE LEARNING EXPERIENCE

Support from first lesson to finished project.

Live learning

Instructor-led sessions that connect concepts to practical decisions.

Doubt support

Regular mentor office hours and focused help when learners get stuck.

Real projects

Build useful work that demonstrates what you can do, not only what you watched.

Career toolkit

Portfolio, résumé, profile, and interview guidance for career-focused programs.

Learning community

Peer discussions, workshops, and shared practice that keep progress moving.

Clear structure

A sequenced roadmap with milestones, feedback, and room to practise.

03 / LESS WATCHING. MORE DOING.

Knowledge is a start.
Practice changes everything.

A simple belief shapes every path:
you understand it better when you build it.

your_next_chapter.py
01# A little progress, every day.
02from curiosity import possibility
03
04while you.are_curious():
05 learn("something new")
06 build("something real")
07 reflect_and_improve()
08
09return your_next_chapter
Small steps. Real possibilities.
THE ONLY WAY FORWARD IS TO BEGIN.
01

Find your foundation.

Make sense of the essentials before moving to the complex. A clear path beats a hundred open tabs.

02

Connect the dots.

See how concepts work together. Go from understanding the “what” to exploring the “why.”

03

Make something real.

Put ideas into practice with projects. Experiment, break things, and turn what you learn into what you can do.

04 / BUILD PROOF, NOT JUST KNOWLEDGE

Projects that turn
learning into evidence.

Every path ends with work you can explain,
improve, and make part of your portfolio.

01Data Science

Tell a complete data story

Explore a real-world dataset, build a predictive model, and present the decisions your findings support.

Python · Statistics · Machine Learning
See the complete project
02Data Engineering

Build an analytics-ready pipeline

Design a system that ingests source data, transforms it safely, and delivers documented tables for analysis.

SQL · Spark · Data Pipelines
See the complete project
03Full Stack

Ship a complete web application

Create and deploy a responsive product with a polished interface, a documented API, and persistent data.

React · Node.js · Databases
See the complete project
04Cloud Computing

Operate a production-ready service

Deploy a containerized application through an automated pipeline with monitoring and a practical operating guide.

AWS · Azure · DevOps
See the complete project
05Artificial Intelligence

Build and evaluate an AI assistant

Create a retrieval-based assistant, ground it in a useful knowledge set, and measure the quality of its answers.

Deep Learning · GenAI · LLMs
See the complete project
CAREER-FOCUSED PROGRAM SUPPORT

Learn the skill.
Tell its story.

Career programs connect technical learning with the practical work of preparing for your next opportunity.

Portfolio reviews

Shape your strongest projects into clear proof of your skills.

Résumé and profile guidance

Present your experience, strengths, and work with focus.

Interview practice

Build confidence through technical and behavioural preparation.

Job-search direction

Create a realistic plan for roles, applications, and follow-through.

Career support is available with selected mentor-led and career accelerator programs.

Explore career support
DATAABHYAS FOR BUSINESS

A stronger team.
A smarter future.

We offer corporate training in data, engineering, full stack, cloud, and AI. Help your people build the skills to move your business forward.

Learn as a team Put knowledge to work
See training areas
INDIVIDUAL AMBITION. COLLECTIVE PROGRESS.
SKILLS THAT MOVE TEAMS FORWARD

Data & analytics

Data Science · Data Engineering

01

Cloud & platforms

Cloud Computing · Infrastructure

02

AI & applications

Artificial Intelligence · Full Stack

03
Build capability. Together.
THE IDEA BEHIND THE NAME
abhyasअभ्यास

/ uh-bh-yaas /   noun

Practice. Repetition. The pursuit of better.
Data Abhyas monogram

Big ambitions.
Small, consistent steps.

Technology keeps moving. We believe learning should move with it — without losing sight of the fundamentals.

DataAbhyas brings data, development, cloud, and AI into one place — for curious individuals and ambitious teams. Through learning paths and corporate training, we turn practice into progress.

A little abhyas. A world of possibility.
A FEW THINGS YOU MIGHT WONDER

Curiosity is
always welcome.

YOUR FUTURE IS A WORK IN PROGRESS.

Make your next move
a learning move.

FIVE PATHS. YOUR OWN DIRECTION.