Leap from learner
to industry-ready
practitioner.
LearnLeap.in runs live, mentor-led career tracks in DevOps, Data Science, Analytics, Observability and Generative AI, built around real systems, not slide decks.
LEARNERS NOW WORKING AT
Nine tracks. One ladder upward.
Each track is a cohort-based, project-driven program. Pick the path that matches where you want to be in 6 months.
DevOps Engineering
CI/CD pipelines, Docker, Kubernetes, Terraform and cloud-native delivery on AWS/Azure, taught through real deployment projects.
Data Analytics
SQL, Python, Excel and Power BI/Tableau, turn raw business data into dashboards and decisions stakeholders trust.
Data Science
Statistics, machine learning, feature engineering and model deployment, from notebooks to production endpoints.
Observability Engineering
Metrics, logs and traces with Prometheus, Grafana and OpenTelemetry, build the eyes for production systems.
GenAI Mastery Program
LLM fundamentals, prompt engineering, RAG pipelines, fine-tuning and agentic workflows, build and ship real AI products.
DataX AI Program
A cross-disciplinary track blending data engineering pipelines with applied AI, for builders who want both sides of the stack.
Insight Pro Analytics
Advanced analytics storytelling, A/B testing, forecasting and executive dashboarding for analysts moving into strategy roles.
BizAnalytics Pro
Business intelligence for non-engineers, metrics design, SQL for analysts, and decision frameworks for product & ops teams.
DataForge Engineering
Data pipelines and warehousing with Airflow, Spark and dbt, engineer the infrastructure data teams run on.
Built differently from a typical course.
Most courses give you content. We give you a cohort, a mentor, and a deadline, because that's what actually gets people hired.
Live, not recorded
Every session runs live with working practitioners, questions get answered in real time, not buried in a comment thread.
Real systems, real data
Projects run on production-style infrastructure with real-world datasets, no toy examples, no tutorial bloat.
Cohort accountability
You learn alongside a fixed group with weekly checkpoints. Momentum is built in, not optional.
Career outcomes desk
Resume reviews, mock interviews and referral support run alongside every track in its final month.
Real outcomes from real people.
Don't take our word for it, here's what our learners say after completing their tracks.
"The DevOps track was the most hands-on learning I've done in my career. Within 3 months of graduating I had an SRE offer, 40% more than my previous role."
"I was a marketing analyst with zero SQL. The Data Analytics track changed everything. I now lead a BI team at a fintech, and it took just 4 months."
"The GenAI Mastery cohort was the real deal. I shipped an LLM-powered internal tool for my company during the program. The live mentors know their stuff."
From application to offer letter.
A simple, structured path, because the process should never be the hard part.
Apply & assess
10-minute application and a short skills check to match you to the right starting track.
Onboard your cohort
Get matched to the next live cohort with your mentor pod and project group.
Build & ship
Work through weekly modules and ship 3–5 portfolio-grade projects over your track duration.
Get placed
Enter the outcomes desk for interview prep, resume polish and partner-employer referrals.
Cohort #14 opens July 2026.
Seats are capped per track to keep mentor ratios tight. Apply now to lock your spot and get the full syllabus PDF instantly, no commitment required.
Frequently asked.
Do I need prior experience?
Beginner tracks assume none. Intermediate and advanced tracks list prerequisites clearly on each program page.
Is this part-time friendly?
Yes, live sessions run evenings IST, with recordings available for review within 24 hours.
Is there an EMI option?
Most tracks offer 3–6 month no-cost EMI plans at checkout. Details on each program page.
What if I miss a cohort?
You can roll into the next cohort of the same track at no extra cost, with no questions asked.