
LEARN. BUILD. GROW.
Grow Data Skills offers live and self-paced courses in data engineering, AI engineering, and data analytics. Build cloud data pipelines, AI applications, or analytics dashboards through hands-on projects.
Previously at Amazon, Expedia & Paytm 10+ years of experience
30000+
Learners from 30 Countries
4.9/5
Average Course Rating
2.17 Cr
Highest Salary So Far
20+
Data & AI Courses
Choose what you want to build and find courses that teach the skills to get there.
Build reliable data pipelines and design cloud data platforms.
SQL · Python · Spark · Cloud
Explore coursesBuild, evaluate, and deploy AI applications and agents.
LLMs · RAG · AI Agents · Deployment
Explore coursesAnalyze data and build dashboards that answer business questions.
SQL · Python · Power BI · Tableau
Explore courses

























Meet Your Mentor
AI Data Engineer · Previously at Amazon, Expedia & Paytm
Shashank brings 10+ years of experience building cloud data platforms, real-time pipelines, and AI-powered workflows.
At Grow Data Skills, he teaches through projects that connect the tools to the work. Learners design pipelines, transform data, and work with the cloud services used to run those systems.
Build your foundations and choose a course that fits your budget.
Ask questions in live classes and connect with learners on Discord.
Practice the workflows used in data and AI roles.
Depending on your course, get help with your résumé, LinkedIn profile, or interview preparation.
Practice technical questions and explaining your projects with our mock interview service.
Connect with other learners and share what you’re working on.
Work with the tools taught in our data engineering, analytics, and AI courses.
Explore the tools and techniques taught across our data engineering, analytics, and AI courses.
63 Topics covered
Meet some of the companies represented in the Grow Data Skills alumni community.

Our Community
Follow tutorials, discuss projects, and connect with people building careers in data and AI.
Access your courses and the Grow Data Skills community on iOS and Android.
Find answers about our AI and data courses, placement assistance, and what to expect after you finish.
You’ll learn how to build data pipelines, transform and model data, and work with cloud platforms. The exact stack depends on the course. Explore the Data Engineering course track.
Grow Data Skills is an online learning platform for Data Engineering, AI Engineering, and Data Analytics. It offers instructor-led live cohorts and self-paced courses. Browse the course catalog to compare the formats and projects available.
Prerequisites vary by course. Check the course syllabus and recommended background. If you’re new to coding, the Python Crash Course and SQL Mastery Bootcamp are starting points.
Yes. Individual course pages list project topics and counts. For example, the AWS Data Engineering course includes hands-on data engineering projects.
The bootcamp covers topics such as large language models, retrieval-augmented generation (RAG), and AI agents. See the AI Engineering Bootcamp syllabus for the modules and projects.
AI Engineering focuses on building AI applications and agents. AI Data Engineering focuses on the pipelines and platforms that collect, transform, and deliver the data those systems use.
Grow Data Skills offers both formats. Live cohorts follow a class schedule, while self-paced courses use recorded lessons. Check the course catalog for formats and upcoming batches.
Placement assistance can include résumé feedback, interview preparation, and LinkedIn profile guidance. Check your chosen course page or ask our team what’s included before enrolling.
Yes. See the Mock Interviews and 1:1 Mentorship pages for available sessions and booking details.
Support varies by course or batch. Confirm what’s included with the program you plan to join.
No. Grow Data Skills does not guarantee a job after course completion. Placement assistance helps you prepare for your job search. Hiring decisions are made by employers.
No. Course completion can help you build practical skills and a portfolio. Interviews and offers depend on your experience, applications, and employer decisions.
Still have a question? Contact our team or browse all FAQs.