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 4 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

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 4

3 weeks 1st 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

2 days no-questions-asked refund policy

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

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.

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.

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.

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.

Apoorv

It was an amazing experience, before joining the cohort i was always finding myself lost in the AI world, but right after attending the first two classes, the next Monday I was implementing my first AI service for one of my project.

After attending all the sessions I am confident to apply AI in many of the flows.

AG

No-fluff Applied AI Cohort.

Mindblowing discussions around practical questions and very well thought curriculum to sought out the basic and to build strong design principles.

Pavan Krishna R

Very useful prototypes to understand the concepts, and also the brainstorming sessions are super helpful to think out of the box and understand the system. Your explanation of every concept was really what I expected and enrolled for.

Pranav

Really useful, in-depth discussions. It reassured me that my current work is on track and gave me the confidence to build our next systems. Thanks, Arpit!

Santosh G

This is really great session, as the scape of AI engineering is evolving, this is live building at it's best.

I will be really greatful for all the topics discussed and key concepts elaborated.

Dipesh Sharma

Literally the way he explains is awesome, And his love of tech is something which make him different,

Prakhar Kumar

Learnt so much not just from Arpit but also from other folks during the discussions. I will have to say the discussions are so good, as junior engineer the value was immense.

Dipesh Sharma

Literally the way he explains is awesome, And his love of tech is something which make him different,

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.

Is there a refund policy?

2 days no-questions-asked refund window from the course commencement date (11:59:59 pm IST on 1st Sunday after the course commencement. If you are moving from one cohort to another, you will become ineligible for the refund. To get a refund, you need to write to me at arpit.masterclass@gmail.com. If you somehow have the payment link of the live cohort and you enroll after the cohort has already started, you become ineligible for a refund.

Will I get 100% of amount, if I claim a refund?

90% of the amount will be refunded. The remaining 10% will be deducted to cover payment processing and payment gateway charges. For example, if the course fee is INR 50,000, you will receive a refund of INR 45,000 if you request a refund.

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.