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 5 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.

  • Stochastic LLMs
  • Chain-of-Thought Prompting and Few-shot Prompting
  • Prompt Failure Modes
  • Structured Outputs
  • Prompting Reliably
  • Prototypes and Demonstrations: 5
  • System 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
  • Parallel Tool Calls
  • Hybrid Search and Metadata Filtering
  • Re-ranking - Cross Encoders and Bi-encoders
  • Query Rewriting
  • Semantic Caching
  • Prototypes and Demonstrations: 6
  • System Design: RAG over 10M docs, no Hallucinations

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.

  • Observe-Think-Act Loop
  • Ralph Loop
  • ReAct Loop
  • Plan and Execute Loop
  • Checkpoint and Resume
  • Human in the Loop
  • Prototypes and Demonstrations: 6
  • System 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
  • Working Memory Management and Budgeting
  • Memory Summarization and Write Strategies
  • Orchestrator + Specialist Pattern
  • Critic + Refiner Pattern
  • Mixture of Agents Pattern
  • Deadlocks in Multi-agent Systems
  • Prototypes and Demonstrations: 3
  • System 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.

  • What makes a good eval?
  • LLM-as-Judge
  • Placing and Plugging Evals
  • Human Evals
  • Exploratory and Adversarial Evals
  • Regression Harness
  • Prototypes and Demonstrations: 3
  • System Design: AI Code Reviewer System
  • System Design: Self-Updating AI Documentation 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
  • Brainstorming Production Gotchas
  • Prototypes and Demonstrations: 2
  • System 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 5

3 weeks 29th August, 2026

8:00 pm to 11:00 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 2 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 prompt infrastructure toolkit that lets you version, update, and govern prompts in production, eliminating the need to hardcode prompts or redeploy your application for prompt changes.

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.

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 166+ blogs, 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

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!

Vamsikrishna N

I would like to sincerely thank Arpit for putting together such a well-structured and insightful Applied AI Masterclass.

Before attending the course, I had many questions about how AI solutions are actually built in the real world. While there is plenty of information available online, it was difficult to connect the dots between concepts and practical implementation. 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 from identifying the right use case to choosing the appropriate architecture and incorporating solid system design principles.

One aspect I particularly appreciated was that every session had its own unique value and practical takeaway. The content was thoughtfully organized, balancing fundamentals with real-world applications, making even complex topics easy to understand. The emphasis on engineering thinking, trade-offs, and production-ready AI systems was especially valuable.

Overall, it was a fantastic learning experience, and I truly appreciate the time, effort, and knowledge that Arpit shared throughout the course.

Thank you once again for an exceptional learning experience.

Saish

Arpit is a rockstar! Attending the Applied AI course was genuinely fun. The best part is the flow of the sessions: you start with concepts and prototypes, then move into brainstorming and designing for a real-world problem. The problems are well-framed, and Arpit does a great job of connecting the dots so that every concept is covered along the way.

It was incredibly helpful to see how AI systems like coding agents and RAG actually work behind the scenes, and how to reliably build, deploy, test, and observe them in production.

The Q&A at the end of each session is worth waiting for. Just sticking around and listening to other people's questions taught me a ton. Some of the discussions were genuine eye-openers.

Huge thanks to Arpit for putting together such a high-value course :)

Aalia Lokhandwala

Arpit, thank you for being such an inspiration throughout the course.

Every Friday I'd look forward to the weekend because I knew there would be another session that would completely change how I thought about Agentic AI. More than just the concepts, it was the way you:

  • broke down real-world systems

  • shared practical insights

  • actually built prototypes instead of staying at the theory level

Every discussion sparked new curiosity and made me want to go build something on my own. The course didn't just teach me about agents—it changed the way I think about designing AI systems.

Thank you for keeping everything so practical and for sharing your experience so openly. I learned a lot, and I'm genuinely excited to keep building in this space.

Nitin Agarwal

The Applied AI cohort is the counterbalance to the AI psychosis out there as it pulls you out of vibe-coding territory and puts Arpit Bhayani in your corner to help you navigate the biggest shift in software since cloud compute and big data.

True to form, he teaches everything from first principles rather than treating AI as some magic wand. You learn to apply real software design fundamentals to "tame the lion" (as he'd say) and get results that actually holds up for your use cases.

I'd strongly recommend this cohort to anyone with the judgment and taste to use AI for leverage and not be the ones who let it replace them.

HKapoor

I have just started working in the Generative AI space and was looking for a course that could give me in-depth, hands-on knowledge to build good AI product features. There are multiple things I really liked about this course:

  • The way the course is segmented gives you a very clear understanding of each topic. Every concept is explained with tons of practical examples, and the way Arpit narrates them makes it easy to follow.

  • The best part of the course is the questions raised by the attendees. Many experienced engineers actively participate in the discussions, share their real-world experiences, and ask practical questions. Those discussions make the sessions much more engaging and help us understand the concepts from different perspectives.

  • Arpit's way of demonstrating problems is unique. He shows how we can validate and experiment with concepts using simple setups instead of requiring a complex environment. He constantly encourages everyone to do hands-on practice, which I believe is the best way to truly learn Generative AI.

Ankan

Arpit was phenomenal in explaining real problems with ease & his teaching style will never bore you.

I'm already working in AI domain but as all know, learning never stops. I was very eager to see how others are using/incorporating AI in other industries/verticals.

I would recommended to all the AI folks out to try it out at least to get upto speed with market happenings. All the best!

Sunil Kumar Soni

One of the best LIVE cohorts I've attended so far.

Having been part of both Arpit's System Design and Applied AI cohorts, his approach to problem-solving and real-world LIVE interactions are truly unmatched.

Each discussion with Arpit pushes me to look at software problems and solutions at a whole new level and leaves me more convinced that the software industry holds more promise and opportunity than ever before <3

Vibhor Gupta

I just finished the Applied AI Masterclass by Arpit Bhayani, and the one-line review is this: it treats AI agents as distributed systems, not as a prompting exercise.

Anthropic now calls the move past prompt-crafting "context engineering." This course goes a layer further.

Some things we covered:

  • Checkpoint and resume for agent loops

  • Adversarial evals and LLM-as-judge

  • RAG over 10M docs with hybrid search, re-ranking, and query rewriting

  • Self-evolving agents

26 prototypes, 7 system designs, all in Python.

I have been watching Arpit's videos for many years, and he is an excellent teacher. He always goes deep into technical topics, drawing on his own experience and first-principles thinking.

I would recommend this course to anyone looking to get a grip on Applied AI.

Deepanshu Pandey

I was able to use this as a one stop solution to relieve myself from all the Applied AI FOMO I had and this course really helped me ground myself to the State Of The Art without diving into too much jargons.

The best part is that Arpit has practical experience of building the things that he was teaching and the discussions weren't just situational (with no overlap with reality).

The brainstormings were very involved and Arpit has his way of pushing through the thinking process.

Hoping to attend another much more advanced cohort in the future! Thanks, more power to you :)

Anurag

Arpit is among the best in the industry. I have been following him for a while, and enrolling in this Applied AI course was a great experience for learning how to build production grade agentic systems.

I will definitely recommend that people enroll.

Thanks, Arpit, for keeping the engineering and agentic curiosity alive. 10 out of 10 from my side!

And on a side note, keep doing what you are doing you make a difference to many.

Anushka Jain

The course is informative in terms of the concepts that runs behind the AI and the things we use everyday.

It might be good to have a prior knowledge of system design concepts and implementation is everything. The course is only worth it if we try the exercies and implement.

Overall great course and builds curiousity throughout!!

Rituraj Sarkar

Exceptionally hands on course, with lots of use case discussions, brainstorming sessions and prototypes which makes the learning experience both engaging and valuable.

Since this field is evolving so quickly, I'd definitely consider taking the course again in the future to stay up to date.

Anonymous

What makes Arpit's course stand out is how practical and grounded it is. Instead of just high-level theory, it focuses on real-world engineering workflows and actionable frameworks you can immediately use to level up your productivity at work.

Exceptional structure, zero fluff, and worth every penny!

Harish Sarapalle

An amazing cohort! I gained a highly practical framework for building and running Agentic applications.

Watching a master artist work on the same canvas with different tools was deeply inspiring. It has completely motivated me to delve more.

thank you for inspiring to keep learning and keep building.

Shubham Sudame

Arpit's AI MasterClass is to the point, talks about what exactly is needed in the age of AI, what top companies are building.

Covering the fundamentals on how to think like a systems engineer is a crucial skill that will distinguish engineers, enhanced by AI.

He doesn't lock in to any specific tech stack, doesn't waste time on low-level stuff that keep changing, which I like, because sticking to the building blocks is the important skill for building.

Pankaj Vatwani

One of the things I appreciated most about Applied AI was that it felt like a discussion rather than a monologue. The interactive format, with conversations between experienced practitioners, made complex topics much easier to understand and kept the sessions engaging throughout.

Arpit is genuinely happy to answer anything — whether you're asking something basic or getting into the weeds on system design. Nothing feels like a stupid question, and that makes a huge difference.

A lot of what was covered matched real decisions everyone makes while building and deploying AI systems — and having those trade-offs laid out clearly gave me a much sharper way of thinking about them going forward.

I would highly recommend Applied AI to anyone looking for a practical, systems-oriented understanding of modern AI engineering.

Anuradha Rao

Sir is extremely hands on and a pro on the subject despite this being an evolving field. The approach he brings to problem solving and making students think, has been a great learning journey. His interest is piqued by every challenge and the enthusiasm he brings to learning and exploring together on the fly is contagious and noteworthy.

Thank you for the wonderful 3-week experience! For someone delving into this area newly, the learning has been enriching, fruitful and worth my while.

Aakash

In just 3 weekend sessions, we went deep on topics I use daily:

  • RAG

  • Eval frameworks

  • LLM memory architectures

  • Multi-agent design patterns

  • Adversarial safety

  • Self Evolving Agents

  • Natural Language Workflow Engines (Agent Studio)

What stood out was the balance of theory and real-world application: live demos, concrete dataset templates, and production-grade system designs (like an incident auto-remediation agent).

Not only does Arpit just teach concepts — he also shows you how to build and ship. Highly recommended for engineers who want to move from AI curiosity to production confidence.

RR - Name Anonymized

AI Landscape is complex and daunting. But as always, Arpit sir brings clarity along with insights from industry standards.

This cohort builds an elegant thinking model for us to tackle new AI projects.

And shout-out to wonderful community he has built, my batchmates shared their priceless experiences with AI.

Truly Asli Engineering!

Akash Pandey

Knowing Arpit's teaching style, I expected a practical, no-fluff cohort on building AI agents.

What I got was a much deeper understanding of how agentic systems come together in the real world. The cohort covered both the big-picture thinking and the implementation details, which is a combination I rarely see in the same program.

The best part was the community. It was great to learn alongside people who are already building some really interesting things in this space.

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.