The Applied AI Masterclass


A hands-on, no-fluff, and highly practical masterclass that helps you become great at designing, implementing, and shipping AI systems at your workplace.


Enrollments for Applied AI - Cohort 6 Cohort are open.

If you are looking for system design courses, I offer two - one for beginners and one for experienced engineers.

Key Details

  • Super hands-on and practical - focused on you building AI systems at your workplace
  • Build and explore 24 prototypes for deep, practical understanding
  • Design and brainstorm 7 agentic systems combining AI and resilient system design
  • LLM credits are not included; you will need your own API keys for prototyping
  • Examples use Gemini, but you are free to use any model
  • Lifetime access to all session recordings
  • All systems will be built in Python
  • Course does not cover Machine Learning or Deep Learning, the focus is to understand how to leverage LLMs, understand different patterns, pitfalls, and build great systems using them.

Why Learn Applied AI Now?

  • AI is becoming a core layer of modern products
  • Building with LLMs, agents, and AI workflows is now a key engineering skill
  • Reliable AI systems require memory, tools, retrieval, workflows, and evaluation - not just LLM call
  • AI is the biggest opportunity today for engineers who can integrate AI into real-world products

Program outline

6
SESSIONS

26
PROTOTYPES

7
SYSTEMS

Prompt LLMs Reliably

Week 1 - Session 1

Learn how to design reliable prompts, identify and prevent common LLM failures, and evaluate outputs systematically. This session establishes the foundation for building dependable AI applications.

  • Mental Model While Building Around LLMs
  • Chain-of-Thought Prompting and Few-shot Prompting
  • Gotchas Using Structured Outputs
  • Prompt Failure Modes
  • Drafting Reliable Prompts
  • Infrastructure Around Prompts
  • System One Models - Jev and Clairic
  • Prototypes and Demos: 5
  • Design: Fact Checking Agentic System

Tool Use and RAG

Week 1 - Session 2

Learn how production AI systems use tools and retrieval reliably at scale. This session covers the foundations of robust RAG systems, improving retrieval quality, reducing hallucinations, and handling real-world operational challenges.

  • Tool Use and Tool Schema Design
  • Tool Infrastrcuture
  • Tool Use Production Gotchas
  • Hybrid Search and Metadata Filtering
  • Re-ranking - Cross Encoders and Bi-encoders
  • Query Rewriting
  • Semantic Caching
  • Prototypes and Demonstrations: 6
  • Design: RAG over 10M docs

Single Agent Loops and Systems

Week 2 - Session 1

Learn the core patterns behind AI agents, how they reason, plan, and act across complex tasks. This session is essential for building reliable agents that can operate beyond single LLM calls.

  • Anatomy of an Agent
  • Observe-Think-Act Loop
  • ReAct Loop
  • Checkpoint and Resume
  • Human in the Loop
  • How Claude Code Works
  • Prototypes and Demonstrations: 6
  • Design: Paper to Code Agent

Multi-Agent Systems and Memory

Week 2 - Session 2

Learn how multiple AI agents collaborate, share memory, and coordinate effectively in complex systems. This session is essential for building scalable, maintainable agent architectures that remain reliable and observable in production.

  • Memory Architecture
  • Memory Write and Read Path
  • Working Memory Management and Budgeting
  • When, Why, and How - Multi-agent
  • Parallel Agents and Subagents
  • Orchestrator + Specialist Pattern
  • Multi-agent Task Decomposition
  • Deadlocks in Multi-agent Systems
  • Prototypes and Demonstrations: 3
  • Design: Incident Auto-remediation System

Evaluation, Safety, and Systems

Week 3 - Session 1

Learn how to evaluate AI systems systematically, measure performance, and identify weaknesses before deployment. This session is critical for building trustworthy, safe, and continuously improving AI applications in production.

  • Why Evals and Good Evals
  • Scoring Methods and Pitfalls
  • Placing and Plugging Evals
  • Building an Eval Dataset
  • Exploratory and Adversarial Evals
  • Prototypes and Demonstrations: 3
  • Design: AI Code Reviewer System
  • Design: Self-Updating AI Doc + Externalized Platform

Production Gotchas and Systems

Week 3 - Session 2

Learn the architectural patterns behind scalable AI systems, from reliability and cost management to deployment and observability. This session is essential for building production-ready applications that perform consistently at scale.

  • Self-evolving Agents
  • Prompt Caching
  • Observability
  • Cost Efficienct Systems
  • Multi-agent Systems Prod Gotchas
  • Brainstorming Prod Gotchas in Usecases
  • Prototypes and Demonstrations: 2
  • Design: Natural Language Workflow Engine

What People Have To Say

Amardeep Kaur

... Every concept is grounded in real production experience, with practical insights into what you can expect when deploying agentic systems at scale ... More than specific techniques, you will learn strong mental models for designing and reasoning about these systems ... With so much noise around AI today, Arpit's cohort is a high signal, no-fluff learning experience ...

Vibhor Gupta

... it treats AI agents as distributed systems, not as a prompting exercise ... He always goes deep into technical topics, drawing on his own experience and first-principles thinking ...

Vamsikrishna N

... Before attending the course, I had many questions about how AI solutions are actually built in the real world ... This masterclass provided exactly that missing perspective. It helped me understand not only what can be built with AI, but more importantly how to think about designing AI-powered systems ...

Aalia Lokhandwala

... More than just the concepts, it was the way you broke down real-world systems, shared practical insights, and actually built prototypes instead of staying at the theory level ... The course didn't just teach me about agents—it changed the way I think about designing AI systems ...

Program Pre-requisites

  • You have some basic familiarity with Python

  • You know basic System Design

  • You have gone through, read, and understood the Pre-reads of this course

  • You have 3 weekends of time that you can dedicate towards upskilling

  • You have a Gemini or OpenAI or Anthropic API access

Applied AI - Cohort 6

3 weeks • 14th November, 2026

9:00 am to 12:00 pm IST on Saturdays and Sundays



During the live sessions, you will

  • learn the intuition behind designing, building, and implementing AI systems
  • brainstorm, interact, and learn from the entire cohort and their experiences
  • build prototypes & understand implementation details and operational challenges

Enroll Now

₹50,000 $650
inclusive of all the taxes

Note: This is a discounted, non-refundable price. If you prefer the refundable pricing option, you can select it while making the payment.

YOU'LL GET

  • Live Classes on Weekends IST

  • Lifetime access to the cohort recordings

  • Lifetime access to the Network and Community

  • Open forums and interaction with the cohort

  • Doubt resolution during and post live sessions

  • Language of communication will be strictly english

You will be provided with an invoice with GST details and a certificate of completion, which you can use to get the course fees reimbursed by your employer. If you have questions or need any clarifications before enrolling, please

.

Recordings Only



If you choose recordings, you will

  • Instant access to recordings from the Applied AI Cohort 5 only
  • Chosen as one of our best cohorts for depth, brainstorming, and Q&A
  • No access to other cohort recordings - going through that much content is not the best use of your time

Enroll Now

₹50,001 $651
inclusive of all the taxes

YOU'LL GET

  • 22+ hours of recordings of my best cohort

  • Lifetime access to the cohort recordings

  • Lifetime access to the Network and Community

  • Doubt resolution on Discord

  • Language of communication will be strictly english

You will be provided with an invoice with GST details and a certificate of completion, which you can use to get the course fees reimbursed by your employer. If you have questions or need any clarifications before enrolling, please

.

Why should you join?

The primary objective of this program is to make you comfortable at building systems that are scalable, fault-tolerant, and reliable. But here is what you could reap out of it.


Build real AI systems end to end

Go beyond concepts and learn how to design, implement, and ship applied AI systems that work in real production environments.

Practical AI engineering

Learn the tooling, patterns, and engineering tradeoffs required to build robust AI applications.

Think in systems, not prompts

Develop the ability to design complete AI systems including data flow, evaluation, reliability, and failure handling.

Reusable patterns and architectures

Learn proven design patterns and architectures that you can directly apply to your own projects at work.

Hands-on, implementation first

Every concept is backed by code and prototypes so you can see how things work in practice.

Stay ahead in applied AI

Build the skills needed to work effectively with rapidly evolving AI tools and frameworks in industry.

Level up as an AI engineer

Position yourself to take on high-impact AI projects and stand out as someone who can deliver, not just experiment.

Community and peer learning

Join a group of serious engineers building AI systems and learn from shared experiences and discussions.

The world is learning

People from all over the world have taken my courses.


Applied AI Masterclass Demographic Applied AI Masterclass Demographic
3000+
ENGINEERS

37
COHORTS

28
COUNTRIES

Who Took My Courses?

Folks belonging to some of the best companies and high thriving startups have taken this and other courses, the list includes the likes of


Teaching style

Here are some of the videos that will give you a peek into my teaching style how I teach and the depth I go into




Arpit Bhayani

Hey, I am Arpit

engineering, databases, and systems. always building.

I am a software engineer and engineering leader passionate about applied AI and databases. Currently, I am a Principal Engineer II at Razorpay, working at the intersection of Data and AI, where I am building Agent Studio, which enables merchants to create AI agents while we provide the infrastructure and harness to run them reliably. I am also working on the Customer Data Platform and leading Merchant Developer Experience.

I am also building px0.ai, an open-source review workbench and speed-first IDE built for AI-generated code. It turns your browser into a zero-latency console with native Git and GitHub integrations, instant search across massive codebases, in-place quick fixes, and seamless handoff to local AI coding harnesses.

Previously, I was a Staff Engineer at Google, where I worked on GCP Memorystore and GCP Dataproc. On the side, I am building DiceDB, a fork of Valkey with multi-tiering and query subscriptions. I also spend time on independent research, publishing my work on ArXiv. My areas of interest include databases, approximate algorithms, and distributed systems.

I build a lot of side projects. Some take off, some don't, but building them is always fun.

In 2024, I took a leap of faith and co-founded Profile.fyi, which was later acquired by Mercor. I was part of Amazon's Fast Data Team, where I worked on cold tiering of hot data and developed a seamless query interface across all storage tiers.

I held engineering leadership positions (both IC and management) at Unacademy, where I built, grew, and led Search, Site Reliability Engineering (SRE) teams, and Data Engineering teams. I hold a total of 12+ years of experience in scaling backend services, taking products and teams from 0 to 1, and beyond.

I keep diving deep into engineering details and share my learnings through 100+ blogs, 600+ notes, socials, and 250+ no-fluff engineering videos on YouTube, breaking down System Design, Database Internals, Microservices, BitTorrent Internals, Redis Internals, Research Papers, and the trade-offs behind real-world production systems.

Arpit Bhayani

Why Learn From Me?

  • I lead Agent Studio at Razorpay, giving me hands-on experience building production AI systems
  • I teach from first principles and focus on building strong engineering intuition
  • I have already taught 2000+ engineers, senior engineers, and tech leaders
  • My teaching style is highly engaging, practical and hands-on
  • I focus on skills and systems that you can directly apply at work
  • Everything I teach comes from real production experience, not theory or guesswork

What worked the best?

From the reviews and feedbacks I gathered, here are a few key things that worked for folks who took my courses.


mental models and frameworks

structured and well organised

quality and non-repetitive content

minute implementation-details

open ended discussion

much more than blogs we find

Testimonials

Meghana

I come with a mixed background of CS and NLP research. Although I build AI systems at my day job, I took up this masterclass to know what I actually knew and where the gaps were. And it delivered much more!

Arpit's passion for teaching comes through in every session. No high-funda definitions, no jargons whatsoever. Concepts were explained in simple terms, then brought to life with a working prototype and finally a brainstorming segment with the participants on designing an actual system around it. This was the most valuable segment as one could see different PoV from the participants and it was also fun to watch how Arpit would nudge them with questions.

For me, the key things I walked away with were:

  • the importance of system design even in building AI systems

  • a mental model for learning any concept

  • evidence for what 'bias for action' would result in...

This masterclass was hands down one of the best birthday gifts I have given myself. Highly recommend it!

Om Prakash Pandey

I absolutely loved the cohort experience. The full 3-week, Sat-Sun format was packed with knowledge, practical learning and a lot of interesting discussions.

My favourite part of the cohort was definitely the brainstorming sessions and Arpit's energy throughout the course. His curiosity and genuine passion for teaching really stood out to me. He always tried to add value on the fly based on the discussion, questions and ideas coming from the cohort.

One incident I remember was when, due to some system glitch, Arpit was unable to continue the class. He decided to move the remaining session to the next day. But instead of simply ending the session, he still wanted to make our time valuable, so he spent that time teaching us something useful. Later, once the issue was resolved, he extended the session and completed the class on the same day. That really showed how much he cared about making sure we got the full value from the cohort.

Another thing I really enjoyed was the brainstorming and system-design discussions. Arpit would give us a problem or ask us to think about a system at a high level, and interested members could raise their hands and try to solve it. What I loved most about these sessions was that it wasn't just about finding the solution. Arpit taught us how to:

  • ask the right questions

  • break down the problem

  • gradually arrive at the right solution for the system

That way of thinking was one of my biggest takeaways from the cohort. Overall, it was an amazing learning experience and I genuinely enjoyed every part of it.

Shardul Joshi

As promised, it was a no-fluff knowledge packed cohort.

Arpit did add new topics like JEV spontaneously to the agenda and made sure to share practical use cases, hands on examples for different topics, not just the theory.

Gained a new perspective towards the world of AI where one can dream to solve any problem which seemed unsolvable before.

Learnt a lot and got to be a part of a great community of engineers.

Karan Patel

The first thing that stands out about the course is Arpit's infectious energy. It never really feels like a course; it feels more like a conversation between peers.

It's a great starting point for anyone who wants to explore applied AI systems. The course is structured really well, taking you from simpler concepts and gradually building towards system design.

What I really liked is that the course keeps evolving. The addition of the Jev section is a great example of that. Arpit doesn't just teach what's already out there; he keeps exploring new ideas and bringing them into the course.

And in the end, it's always motivating to hear Arpit explain things, explore ideas, and push everyone to keep getting better.

PS: This is the cohort where we first heard about px0. All the best for that! 🚀

Ashish Vijaywargiya

I participated in the 5th Applied AI Cohort (September 2026), run by Arpit Bhayani, and it has been one of the best learning experiences in my AI journey.

**Applied AI by Arpit — Super se bhi Upar! **

I really enjoyed the cohort and, more importantly, the topics we discussed. Most of the discussions were focused on:

  • practical implementation

  • the challenges we can face in production systems while using AI tools and technologies

  • what to do and what not to do

  • the best practices for implementing AI in real-world projects

The knowledge Arpit brings to the table is top-notch, whether it's about designing highly scalable systems or applying AI in the right way.

I have always encouraged everyone around me to follow Arpit on LinkedIn and YouTube. His ability to connect concepts with real-world engineering challenges makes the learning experience truly valuable.

Thank you, Arpit(Asli Engineer from Bharat to the World), for an amazing learning experience! I learned a lot from this Cohort. 👍🙏

Kunal Acharya

The Applied AI Masterclass is a well-rounded course that works equally well for beginners and for those with prior experience. It builds a solid foundation and covers the full picture, from system design to the core concepts behind how these systems work.

I came away with a clearer understanding of both the "why" and the "how", and I would happily recommend it to any friend or colleague looking to get serious about applied AI.

Thank you, Arpit, for putting together such a thoughtful cohort.

Saswat Priyadarshan

I absolutely loved this cohort. The thing that stood out for me is the clarity of thought behind every reasoning and discussion. Things are highly practical and super intuitive.

I really loved how Arpit probed us during the AI system design discussion, which really lead to better design discussions.

Obaid

I have built the multi agent systems that are currently working in production and i learned a lot from these sessions especially evals.

Thank you Arpit for everything!

I would strongly recommend this course to my colleagues who practically wants to build the AI systems.

Devanshi Goel

I was already a fan of Arpit, his "knowledge base," and his way of explaining things even before joining this cohort. And the course definitely met my expectations!!!

In this AI world, I got stuck in the cycle of prompting and letting Claude do the work, but this course helped me regain control and get curious again about how things actually work and how systems can be improved.

He explains the concepts with great real-life examples that are easy to grasp and, more importantly, stay with us for a long time. I hope one day I get to work with Arpit and learn much more in real time :P

Muralidhar DK

Your courses have genuinely been one of the best investments I've made in my life. I've taken both your System Design and AI cohorts, and I can honestly say they've had a huge impact on my career.

My career has progressed tremendously since completing the System Design course, and I'm incredibly grateful for everything you've taught and shared. Your recent AI cohort has taken that even further—it has made me genuinely passionate about AI, and I've started experimenting with and applying multiple AI ideas at work. It's giving me a real edge and helping me approach problems in a completely different way.

I'm truly grateful for the impact you've had on my career and learning journey. You're genuinely one of the best teachers and mentors I've come across. Thank you for continuing to do what you do! 🙌

Rajesh K

Arpit is completely no-fluff and super practical. He teaches straight from his own real-world experience, so everything is so relatable. His style builds natural curiosity, making tough concepts easy to understand and implement.

It's honestly rare to find someone who has this much deep knowledge, actually runs it in production, and still knows how to teach it so well.

Veebhor Jain

Arpit's courses have had a meaningful impact on my career. Cracking interviews after going through the cohort content is one thing. That alone could make the course worth the money. But for me, the bigger impact was that it brought back a spark of curiosity that had been lying dormant. That value is hard to measure.

I remember hearing something along the lines of "According to the public docs, this is the approach Claude/Gemini/etc took. Other LLMs might have done it differently" And it made me realize how grounded in reality the course was, and how closely the things we were building reflected real systems.

The post-reads are like an open thread and are common across cohorts. Each time I come back to it, it gives me something interesting to explore, and then its up to me to decide which rabbit hole to chase. Arpit also taught me how to go down these rabbit holes without feeling overwhelmed, which is not always easy. It changed how I learn and how deeply I want to understand the systems I work with.

Manasa S

The Applied AI Masterclass was truly informative, practical, and highly engaging.

The course significantly helped improve my productivity and understanding of AI applications.

Many of the system design concepts covered were extremely useful and provided valuable insights into designing complex AI-driven solutions.

James Shah

This course is a great intro to Applied AI but it doesn't stop there.

I came with some experience building the AI products and I still got to learn so much from this course. The discussions, the kind of questions Arpit asks, it makes you think deeply about your system and you start dissecting it from a new perspective.

I highly recommend anyone interested in production grade AI systems to attend this course!

Neha

I have known Arpit for the last 5–6 years, and he has been a friend, mentor, and someone I have learned a lot from over the years.

I really enjoyed this course because it explains AI and LLM concepts in a very practical and easy-to-understand way. What I liked most is that it is not just about how to use LLMs, but about how to build reliable AI systems that can actually work in production.

He covered everything from:

  • prompting, RAG, tool use, and agents

  • multi-agent systems, memory, evaluations, safety, observability, caching, and production challenges

The system design discussions and hands-on prototypes made the concepts much easier to understand.

I especially liked how Arpit connects the theory with real-world engineering problems and constantly makes you think about things like reliability, scalability, tokens, context, memory, cost, and what can go wrong in production.

Having known Arpit for years, I can say that this course reflects what I have always liked about his way of teaching, he makes complex things simple without losing the technical depth.

If you want to learn how to build reliable AI systems and understand what it takes to make them work in production, I would definitely recommend this course.

Ashutosh Singh

Arpit's Applied AI course was one of the most practical and engaging learning experiences I've attended. The sessions were highly interactive, with consistently high engagement that kept everyone actively involved rather than passively listening.

What stood out the most was how seamlessly the course blended core system design principles with applied AI concepts. Instead of focusing on niche AI use cases, the system design patterns covered were extremely generic, robust, and applicable across almost every business domain, making the learnings immediately actionable.

Another highlight was the exposure to cutting-edge AI tools and workflows that are genuinely useful in day-to-day work. The course struck the perfect balance between foundational concepts and hands-on application, ensuring that participants walked away with both a strong mental model and practical skills they could start using right away.

Overall, this was an exceptionally well-designed course that made applied AI feel accessible, practical, and relevant. I would highly recommend it to anyone looking to build real-world AI systems and understand how to integrate AI effectively into modern software architectures.

Rahul Gupta

The Applied AI Masterclass by Arpit has been a great learning experience. What really stands out is how he explains not just the concepts, but how things actually work in production...what issues and challenges come up, and how to solve them with the right system design.

His prototypes were especially helpful in understanding what happens behind the scenes in an AI system and how different components work together. It also gave me a much better understanding of the challenges involved in building AI systems at enterprise scale and how to approach them.

Overall, a very practical and insightful masterclass for anyone who wants to go beyond AI concepts and understand how to build reliable production AI systems.

ATUL KUMAR PANDEY

Coming from a data background and having recently completed my graduation, I was out of the industry for almost two years.

During that time, the whole Agentic AI and Applied AI space grew really fast, and it became difficult for me to gather and connect all the scattered information.

Arpit's course gave me exactly what I was looking for, but in a much more structured way.

What made the learning even more valuable was his industry experience, because the concepts were not just theoretical they were explained with a practical industry perspective.

That is what made this course and the overall learning experience special for me.

Sudeep

I attended both your System Design and AI cohorts. My colleagues can tell when a cohort is running because my learning high is hard to miss.

I spend days excitedly discussing new ideas, and then slowly return to normal once the cohort ends. Thanks for the awesome learning experience :)

Akshay Polji

Enrolling in Arpit's cohort was a standout learning experience.

Coming from a Principal Database Engineering and platform background, I had explored the LLM space but my understanding was fragmented. I knew the concepts, but lacked a clear architectural mental model for how they come together in production.

This cohort changed that. Arpit goes far beyond APIs and tools, diving into:

  • RAG

  • Multi-agent systems

  • Workflow engines

  • Agentic applications

...while keeping the focus firmly on real-world engineering—cost, scalability, governance, security, guardrails, and trade-offs.

What I valued most was his ability to cut through the AI hype and approach everything from a practical engineering perspective. I walked away with a much clearer mental blueprint for building production-grade AI systems.

Thank you, Arpit, for the passion, depth, and energy you brought to the cohort!

Amardeep Kaur

I recently completed the Applied AI course by Arpit and it was a great learning experience.

Arpit has actually built the kinds of systems he teaches. Every concept is grounded in real production experience, with practical insights into what you can expect when deploying agentic systems at scale.

The course starts with the fundamentals of agentic systems and gradually dives deep into topics such as:

  • Tool usage and tool calls with LLMs

  • The factors that influence agent outputs and techniques to improve output quality

  • Memory architectures, memory management, and memory write strategies

  • Evals—what makes a good Evals framework and practical strategies for building them, which definitely helps build confidence in developing agentic systems.

In every session Arpit made sure to involve participants in discussion and constantly challenged us to think deeply about system design, production behaviour, failure modes, and the guardrails required to build reliable systems. More than specific techniques, you will learn strong mental models for designing and reasoning about these systems. Absolutely a fun experience( yes we did crack some nerdy jokes)

This was my first cohort with Arpit, and I must say he has an exceptional teaching style. He is one of the most authentic, thoughtful and genuinely curious people you'll interact with.

With so much noise around AI today, Arpit's cohort is a high signal, no-fluff learning experience. If you're serious about understanding how to build reliable agentic systems and want clarity how to go about building them, I highly recommend taking the course.

AI is evolving at an incredible pace, so I wouldn't wait too long to take this course.

Happy learning! And trust me, Arpit's cohort really is a happy learning experience.

P.S. - Don't get scared by the pre-reads. My recommendation is to work through them one by one as soon as you get access to the course.

Pratik Pandey

If you've been to a System Design cohort by Arpit, you know exactly what to expect i.e great discussions and loads of learning.

If you haven't, let me guide you through my experience of the Applied AI Cohort.

Its 3 weeks of super fun discussions, which dive deep into designing Agentic Systems, starting from the basics of what an agentic loop contains, to diving into what it takes to run reliable Agentic systems at scale.

Arpit made you think deeply about how your agentic systems can behave in production, reason about WHY that might happen, and HOW you could design your agent loop and guardrails to prevent that. He dived into Evals, different strategies that can be used while creating Evals which allows you to gain more confidence in the Agentic Systems you're building.

As with any cohort experience with Arpit, we had folks sharing their insights of:

  • how they're building Agentic Platforms

  • tools they're using

  • issues they are facing

which makes the sessions even more informative!

If you're trying to build Agentic Systems and want a solid mental model of:

  • how they work

  • how to design them

  • how to overcome the real-world operational challenges of running them in production

this cohort is absolutely for you! Highly recommend the cohort!

Frequently asked questions

You can always drop me an email at arpit.masterclass@gmail.com for other questions.


What will be the language of communication and teaching?

I will be teaching the entire course in english and all the brainstorming with participants will be conducted in english.

Is this course right for me?

This course is for any engineer who wants to learn the topics in the curriculum. Please go through the curriculum and decide if it covers what you want to learn.

Will you be giving teaching for the entire duration?

Yes. I will be teaching the entire course online and live over Zoom.

Will there be a class every day?

The Live Classes will happen on Saturdays and Sundays as per the time mentioned on the webite with a possible extension of 30/45 mins.

Can I get this course reimbursed from my company?

Talk to your manager and check if they can sponsor this course. The invoice that will be issued is a legally valid and sound invoice that can be used for any kind of reimbursement. Note: I will just share the invoice and certificate with you; and I will not be involved in any kind of reimbursement process, communication, or follow-ups from your finance and legal teams, it is between you and your employer.

When will I get the invoice?

You can download the invoice from the course portal. No invoice will be issued if you claim your refund. If you claim a refund, no invoice will be issued.

What if I want the invoice in the name of my employer?

If you want invoice in the name of your employer or a business for them to claim GST Input Credit (not TDS), drop me an email at arpit.masterclass@gmail.com. Note: I will not be involved in any kind of reimbursement process, communication, or follow-ups from your finance and legal teams, it is between you and your employer. I will not be dealing anything w.r.t TDS.

Will there be 1:1 mentorship sessions?

No. There will not be any 1:1 mentorship sessions for this course.

Will there be assignments and hands-on projects?

Yes. I would recommend you implement the core of every single system we discuss ensuring you apply what you learn.

Are assignments and projects mandatory?

No. But it is advisable that you complete them to get a better understanding of the system, algorithm, and business logic.

Will we also implement and see the systems in action?

Due to time constraints, it is not possible to implement every system; it is recommended that you self-implement the system and understand the low-level details. The course will definitely cover systems from every aspect.

Will there be a recording available for future reference?

Every single Live Class will be recorded, and you will be given lifetime access to it.

Will I get access to other cohorts?

No. You will get lifetime access to the cohort you are part of and its recordings, or the recordings that you purchased.

Where are the classes conducted?

All Live Classes will be online, over Zoom, and all you need is an internet connection to attend the live sessions.

Will you be the only one teaching this course?

The entire course including Live Classes will be conducted by me, Arpit Bhayani, no external TAs, mentors, etc. You will get to learn everything from the horse's mouth.

What are the programming pre-requisites?

The course prerequisites are mentioned on this page.

Will I be getting an invoice of Payment?

Yes. An invoice will be issued to you with all the legal and necessary details. This means your employer can choose to process this invoice and provide reimbursement.

Will you issue a course completion certificate?

Yes. You can download it from the portal. The moment you download the invoice from the portal, you become ineligible to claim a refund, even if your refund window is not over.

Can I use my Credit Card or avail EMI to make the payment?

Yes, we support Credit Card, Debit Card, UPI, and Credit Card based EMIs having a duration of 3 months, 6 months, 12 months, and 24 months as offered by Razorpay.

Can I share the account with multiple people?

I track the browsers and devices from which the course is being accessed and if I fnd anything suspicious, I hold the complete right to revoke the access of the course and not offer any refund.