Applied AI Mastery
Applications close 22 August

In 60 days, ship a production AI system.

A live 60-seat cohort for engineers and final-year students — mentored by people who have shipped AI into cars at Volvo, Ford and Daimler. You leave with a working system and an internship record, not a certificate. Apply free; you pay only if you are selected.

See how admission works
22 August
Applications close
Early September
Cohort starts
60
Seats
₹8,999
Paid only if selected
Trusted By Industry Leaders

Collaborating with organizations shaping the future.

Workshops, internships, and applied research across 13 organizations in engineering, automotive, and AI.

Volvo logo
Actalent logo
Syscon logo
iHelp Robotics logo
Aqubics logo
BITM logo
Maruti Suzuki logo
Buraq logo
RYMEC logo
Marelli logo
SkillLync logo
Veoneer logo
Zenuity logo
The Weekly Rhythm
Live session

Each live session introduces a new concept and a concrete build task.

One live session a week. Six days of building in between. Sixty days of it.

Hands-On Teaching

This format has been taught to hundreds already.

Workshops and corporate training delivered at engineering colleges and companies — the same build-something-in-the-room format the cohort runs on.

A working session in progress.
Program Principles

Why Applied AI Mastery is different.

Gated & Calibrated

We do not allow direct card payments. Every cohort member passes a written test and clears an interview. This ensures classroom discussions are deep, relevant, and engaging.

Applicants → Exam & Interview → Enrolled

Current AI Skills

The curriculum is built around current, in-demand AI skills.

RAGAgentsPrompt engineeringLoop engineeringMCPFine-tuningVision + voiceData annotationDeploymentEvaluation

Performance Outcomes

Top performers from each cohort are eligible for paid internship extensions at iHelp Robotics and direct job placement opportunities with our industry network.

Curriculum

A 10-session path from model foundations to deployed AI products.

Every session introduces one concept and one build task. Nothing is theory-only — you finish each week with something that runs.

FoundationsSessions 13
01

AI foundations + the data behind every model

Annotate and clean a real dataset, then train your first model on it

02

Deep learning foundations — build a model from scratch

Implement the forward and backward pass by hand, train a first model

03

Deep learning in practice — PyTorch, training & tuning

Rebuild the network in PyTorch, tune hyperparameters, debug with support

Modern AISessions 46
04

Multimodal AI — vision and voice

Train an image classifier, then ship a model that takes voice in and reads images

05

LLMs, prompt engineering + loop engineering

Build a draft → critique → revise loop that grades and fixes its own output

06

Fine-tuning open models (LoRA/QLoRA)

Fine-tune a small open model, compare prompted vs. fine-tuned outputs

ProductionSessions 710
07

RAG & vector databases — embeddings, hybrid search, reranking

Build a working RAG app on real documents, daily retrieval-quality tuning

08

AI agents & MCP — tool use, planning, multi-agent orchestration

Build an autonomous agent that calls real tools, daily iteration

09

Deployment & evaluation — shipping agents live, monitoring, observability

Deploy the agent/model, build evaluation checks, daily monitoring

10

Capstone + Demo Day

Combine RAG + agents + deployment into one real product, present on Demo Day

That is the whole syllabus. Ten sessions, sixty days.

Applications close 22 August · Free to apply · You pay only if selected

The Pipeline

How admission works.

A transparent, merit-driven selection process. Zero application fees, zero upfront payment risk.

01

Submit Application Details

Fill out the application drawer with your technical background, contact details, and professional profiles (LinkedIn/Resume).

02

Take Entrance ExamPass/Fail

Complete a timed 30-minute online multiple-choice exam testing foundational math, programming, and core analytical skills.

03

1-on-1 InterviewAdmissions Panel

Schedule a 15-minute alignment discussion with the instructors to review your technical goals and verify program fit.

04

Program Fee Payment

Once officially selected, receive a payment link to complete enrollment. Tuition is paid only after clearing all selective gates.

05

Cohort Launch & Internship

Step into live cohort sessions and start contributing to active internship sprint tracks.

06

CertificationEarned

Receive both a Course Completion Certificate and a verified Experience Certificate detailing your internship contributions.

07

Paid ExtensionPerformance-Based

Top performers will be offered paid developer/research extensions to continue working with our product teams.

The Internship

Where the hands-on work happens.

Internship sprints run inside the programme, not after it — real deliverables at iHelp Robotics, alongside the team.

The internship team together at an evening meetup
The team at an in-person meetup.
Interns working on laptops around a table in a co-working space
Heads-down build time during a team meetup.
A mentor talking through work with interns seated around a table with laptops
Reviewing progress with the team.
Applicant Journey

From first click to enrolled cohort member.

Six stages, and your dashboard shows exactly which one you are at the whole way through.

Stage 01 of 6

Visitor

You land here. Nothing is asked of you and nothing is charged.

  1. 01

    Visitor

  2. 02

    Applicant

  3. 03

    Exam passed

  4. 04

    Interview booked

  5. 05

    Selected

  6. 06

    Enrolled

The Programme, By the Numbers

Small enough to be taught. Long enough to ship.

Every number here is a constraint we hold ourselves to, not a target we hope to hit.

0

Seats in Cohort 01

Capped so every submission can actually be reviewed by a mentor.

0

Days

Long enough to build something real; short enough to still finish it.

0

Live Sessions

Taught live, not recorded. You can interrupt and ask.

0

Reward Pool

Split across top performers, plus eligibility for a paid internship extension.

Perks & Rewards

Guaranteed outcomes. Performance-earned upside.

Every learner who finishes earns their certificate. The reward pool and paid internship fork off for whoever ranks top 10.

Guaranteed

Completion Certificate

Every learner who finishes the 60-day program receives this, regardless of final ranking.

↳ if you rank top 10
Performance-Based

₹50,000 Reward Pool

Shared among the top 10, by entrance exam score, project quality, and mentor evaluation.

Performance-Based

Paid Internship Extension

A stipend-based, 3-month internship with iHelp Robotics.

What the top-10 ranking considers
Entrance Exam Score
Project & Capstone Quality
Mentor Evaluation

Seats are capped at 60 so every submission gets reviewed.

Applications close 22 August · Free to apply · You pay only if selected

Proof & Credibility

Learn from people who ship, not just teach.

A Mohammed Musharaff

A Mohammed Musharaff

Co-Founder & CTO, iHelp Robotics

AI/ML engineer specialising in real-time computer vision that runs in production — on edge hardware and in the cloud. Leads MITRA, the iHelp Robotics assistive platform combining object detection, semantic segmentation, depth estimation and navigation safety for visually impaired and elderly users. Previously built production vision pipelines for smart manufacturing at Actalent, validated against real factory conditions rather than benchmark datasets.

Vivek T Umapathi

Vivek T Umapathi

Co-Founder & CEO, iHelp Robotics

Carnegie Mellon Robotics Institute graduate with 12+ years building production computer vision and ADAS. Shipped 15 automotive products across GM, Ford, Daimler, Hyundai, Volvo and Geely platforms — rising from vision engineer to software architect and product owner at Zenuity, the Volvo–Veoneer joint venture, leading teams across the US, Sweden and Germany. Defined the hardware spec for NVIDIA's first-generation Jetson automotive boards.

In the Field

The work behind the teaching.

Industry site visits, workshops delivered at engineering colleges, and the events where this work gets shown.

Receiving a memento on stage at the ANVKA Foundation accelerator launch event

Recognition at the ANVKA Foundation accelerator launch.

1 / 12
What You'll Earn

Two certificates. Both earned.

Shown as a watermarked specimen — the full artwork is issued only to learners who complete the programme.

appliedaiengineering.in
Specimen of the course completion certificate, watermarked and partially croppedSpecimen — not a valid certificate
Applied AI Mastery

Course Completion Certificate

Awarded to every learner who finishes the 60-day programme, regardless of final ranking.

  • Your full name and the programme title
  • Completion date and the cohort you were part of
  • Signed by the Training Director and the Programme Director
  • Issued alongside a separate internship experience certificate

Everything above is what the last cohort actually did.

Applications close 22 August · Free to apply · You pay only if selected

In Their Own Words

Hear from our learners.

Anushka, cohort graduate
Anushka
Danish, cohort graduate
Danish
Rahil, cohort graduate
Rahil
Shaistha, cohort graduate
Shaistha
Self-Check

This course is not for everyone.

Before you apply, be honest with yourself. This program is not the right fit if you:

  • You're completely new to programming and haven't written code before.

  • You're looking for a "learn AI in one weekend" shortcut.

  • You're not comfortable using a computer beyond basic tasks.

  • You're unwilling to build projects and learn by doing.

  • You're expecting guaranteed placements without putting in consistent effort.

If two or more of these describe you right now, that’s okay — it just means the timing is off. Spend a few months building on your own, then apply to a future cohort when you’re ready to commit.

Program Fee

One number. No hidden costs.

Transparent Fee
₹8,999

One-Time Program Tuition

60 days, 10 live sessions, full curriculum access
Integrated industrial internship review
Double certificates (course + work experience)
Eligibility for the ₹50,000 performance pool and paid internship extension
FAQ

Common questions, answered.

No. This program has a strict selective admission policy. All applicants must clear the entrance exam and pass the subsequent 1-on-1 interview to receive an invitation to pay and enroll.

If you do not clear the exam in this round, you are welcome to prepare and apply again for the next cohort. We will add you to our priority notification list so you are alerted as soon as applications open.

Students (engineering/tech backgrounds) and working professionals transitioning deeply into AI/ML. You must be prepared to commit 8-10 hours per week; the curriculum moves fast from the midpoint onward, so basic Python comfort is expected going in.

The Course Completion Certificate is guaranteed to every learner who finishes the 60-day program, regardless of final ranking. It is not performance-dependent.

Ranking for the ₹50,000 reward pool is based on entrance exam score, project and capstone quality, and mentor evaluation of class participation and deliverables.

The paid, stipend-based 3-month internship extension with iHelp Robotics is strictly performance-based, offered to high performers at the end of the cohort. It is never a guaranteed outcome of enrollment.

Because seats are strictly capped, payments are final. For extenuating circumstances or cohort deferral requests, please reach out to the admissions office directly.