Serious Engineering.
Structured Cohorts.
Botmartz Academy combines structured learning, live mentorship, AI tooling, and production-grade projects in one focused path.
You've watched the tutorials. You still can't build.
The market is full of "learn AI" courses. They hand you theory, a video library, and a certificate. Then you sit down to build something real and freeze. Here's why.
Theory without a build
You can explain what RAG is. You've never wired one to a real data source, deployed it, or watched it break in production. Knowing about AI and building with it are different skills.
A certificate proves nothing
Hiring managers don't care about a completion badge. They care about whether you can ship. A certificate is the weakest possible signal in a market this competitive.
No real problems to practice on
Toy datasets and copy-along projects teach you to copy along. Real AI work is messy, ambiguous, and constrained. You only learn it by doing it on something that actually matters.
A course teaches concepts. We make you ship.
We run real AI development work for real clients. You learn inside that world — building, deploying, and defending real systems — instead of watching someone else do it on screen.
- — Pre-recorded videos you watch alone
- — Toy projects everyone else also built
- — Ends with a certificate
- — You're on your own when it breaks
- — Theory you forget in a month
- → Live build sessions, every week
- → Real client-grade problems, not demos
- → Ends with a deployed system you own
- → Direct feedback on your actual code
- → A framework you keep for the next build
Eight weeks. One real system. Shipped.
This isn't a syllabus of topics — it's a build, sequenced. Each week moves your project forward until it's live and yours.
Pick a problem worth building
We choose a real, scoped AI problem with you — drawn from live use cases, not a tutorial. You leave week zero knowing exactly what you're shipping and why it matters.
Design the system like an engineer
Model vs. fine-tune. RAG vs. prompt. Build vs. buy. You make the real architecture calls and learn to defend them — the judgment that separates builders from prompt-clickers.
Write the code yourself
Live build sessions where you write it and we review it in real time. Every wrong turn gets corrected on the spot. By the end you have a working system, not a notebook of snippets.
Deploy it for real
Deployment, testing, documentation. The system goes live — not on your laptop, in the world. This is the week most courses never reach.
● status: deployedPresent, document, and walk away capable
You present your build, complete the documentation, and leave with a portfolio piece that proves you can do this — plus the framework to do the next one without us.
Live Programs & Structured Cohorts
Structured in 2 batches (max 40 students each) for direct doubt clearing and mentorship. Batch 01 fills first; additional registrants roll into Batch 02.
DSA with Python Cohort
Practical, live, interview-oriented DSA program taught directly through Python by Soham Sharma.
- ✓ 4 weeks of live interactive classes
- ✓ Solved interview problems across core patterns
- ✓ Weekly assignments & baseline assessment
- ✓ Live doubt-solving & whiteboard reviews
- ✓ Technical mock interview session
- ✓ Final assessment + individual improvement plan
- ✓ Community cohort access + completion certificate
8-Week Gen AI Bootcamp
Stop building basic wrappers. Build enterprise AI. RAG, Multi-Agent Systems (LangGraph), and LLMOps.
- + Advanced RAG (Pinecone, Weaviate)
- + Stateful Agents with LangGraph
- + LLMOps, Ragas evaluation, MLFlow
- + 3 Enterprise capstone builds
- + 1:1 mentorship & architecture guidance
AI & Tech for Teams
We train your engineers while building real production systems inside your company. Capability that stays.
- + Custom curriculum for your stack
- + DSA or AI architecture tracks
- + A deployed system built by your team
- + Direct senior involvement & code reviews
Questions, straight answers.
How is this different from an online course?+
A course teaches concepts you watch alone. Here you build a real, deployed AI system and solve live algorithmic challenges with real-time feedback, small cohorts (max 40), and mock interviews. The output is working code and problem-solving competence, not a certificate.
Do I need prior DSA or coding experience for DSA with Python?+
You only need basic familiarity with Python fundamentals (loops, conditionals, functions, lists). We teach Data Structures & Algorithms from the ground up: Time/Space Complexity (Big-O), Arrays, Strings, Two-Pointers, Sliding Window, Linked Lists, Stacks, Queues, Binary Trees, Graphs, and Dynamic Programming with Pythonic idioms.
What are the batch dates and timings for DSA with Python?+
Batch 01 runs from 05.10.2026 to 31.10.2026. Batch 02 runs from 16.11.2026 to 12.12.2026. Live interactive sessions are held on weekday evenings with weekend doubt-clearing and mock interview blocks so working professionals and students can attend smoothly.
What if I miss a live class?+
Every live session is recorded in HD and uploaded to your student portal within 2 hours with code notebooks, problem links, and solution explanations. You have lifetime access to these recordings.
Why learn DSA in Python instead of C++ or Java?+
Python is the fastest language to prototype and express complex algorithmic logic during technical interviews at FAANG and top product companies. It has clean syntax, built-in dynamic data structures (dict, set, list, deque, heapq), and allows you to focus on the algorithmic logic rather than boilerplate syntax.
How do the 1:1 doubt-clearing and mock interviews work?+
Beyond the live classes, we host scheduled doubt-clearing office hours and conduct 1:1 mock interview drills simulating real technical rounds with live code debugging, complexity analysis, and communication coaching.
What happens if a cohort batch reaches the 40-student capacity?+
Each batch is capped at 40 students to maintain high instructor interaction and mentorship quality. Once Batch 01 fills, subsequent applications are automatically placed into Batch 02.
Will this prepare me for Tier-1 product company and FAANG interviews?+
Yes. The syllabus is curated directly around frequently asked patterns in Tier-1 technical screens (LeetCode Medium to Hard patterns, pattern recognition frameworks, and system-level data structure design).
Is there a certificate and refund policy?+
You receive a verified Certificate of Algorithmic Mastery upon completing all assignments and the capstone assessment. Because of capped 40-seat batches, refunds are not issued once a batch starts, though you can request to switch to Batch 02 before the program begins.
How do I pay the ₹1,999 enrollment tuition?+
After submitting your application form, you will receive your verification confirmation and direct secure payment link via WhatsApp and email, or you can complete payment directly upon acceptance.
DSA with Python Cohort
Batch 01: 05–31.10.26 · Batch 02: 16.11–12.12.26 · Max 40 Students / Batch · ₹1,999
Apply for Cohort
Tuition fee: ₹1,999 (All inclusive · Live doubt solving + mock interview included).