By Priyam Dalmia  ·  IIT Kharagpur  ·  AI Research Engineer @ Google

Stop learning tools.
Start building proof.

The structured AI program for engineers who want to go from overwhelmed to genuinely capable — with 7 industry-style projects and a portfolio that turns heads in interviews and on LinkedIn.

Enroll Now — ₹1,999
1,000+ engineers trained  ·  Placed at Apple · Goldman Sachs · JP Morgan · Zepto · Flipkart · Accenture
Our learners now work at
Sound familiar?

You know AI matters.
You just haven't found the right way in.

The AI space is moving fast — but most of what's out there is noise. Reels, tools, YouTube playlists. You're consuming a lot and progressing very little.

🌊

AI overwhelm is real

New model every week. New tool every day. New shortcut every reel. You're saving content faster than you're absorbing it — and you still don't have a clear mental model of how any of this actually works.

📋

Your resume looks like everyone else's

Same experience, same stack, same profile. When the market treats your resume like a commodity, it pays you like one. Certificates add a line. Projects change how your whole profile is seen.

😶

You're quiet in AI discussions

AI comes up in meetings. You nod. You can't confidently explain what LLMs are, how agents work, or why a certain approach matters. That silence is costing you more than you think.

🎭

Wrong teachers, wrong content

Most AI "educators" online are content creators — not engineers. They can make grippy videos, but they can't teach you the foundations. If you're not sure your instructor actually builds AI systems, that's a problem.

The real difference

There are two types of people in the AI wave.

One type chases tools. The other builds understanding. The market rewards only one of them.

What most people do

✗ Learn new tools every week — then forget them
✗ Watch long playlists without building anything
✗ Collect prompt tips that won't impress a recruiter
✗ Get "certified" without showing applied skill
✗ Stay stuck in the same salary bracket, wondering why

What Inspire AI builds

✓ Genuine understanding of how AI models actually work
✓ 7 real, industry-style projects — not toy demos
✓ A published portfolio on LinkedIn and GitHub
✓ Confidence to speak about AI in any room
✓ A profile that looks worth more to the market
53%
higher median salaries for AI-skilled roles in India
70%
of job skills expected to change by 2030 — per LinkedIn
33%
YoY growth in India's AI hiring — Stanford HAI 2025
1,000+
engineers trained by Priyam, placed at top companies
Inside the projects

Visual proof of what you'll build.

Stop watching tutorials. Start building interactive tools, visualizers, and workflows.

Gradient Descent Visualizer Project Preview AI Agent Workflow Interface Preview

7 industry-style AI projects.
Not toy demos. Real proof.

Each project is guided end-to-end. You build it, understand it, document it, and publish it — so it actually shows up on your resume and LinkedIn.

PROJECT 1 Learn with AI

AI-Powered Learning Document

Learn a topic deeply using AI, then turn it into a blog post, explainer, or internal tutorial. Builds the habit that matters most in modern tech: learning fast, understanding clearly, and making that learning visible.

PROJECT 2 ML Foundations

Training Your Own ML Model

Stop treating ML like magic. Train a real model, break down how learning actually happens, and build intuition around data, optimization, and model behavior. Makes your AI understanding look genuinely technical — not just "I used some tools."

PROJECT 3 ML Foundations

Gradient Descent Visualiser

Understand how models learn by building the mechanism that drives it. This gives you the foundation to explain AI decisions confidently in any technical or non-technical conversation.

PROJECT 4 GenAI

Image Generation Workflow

Go from consuming cool tools to actually using them for product design, marketing, and idea testing. Build generative image workflows that showcase modern, cross-functional AI thinking.

PROJECT 5 GenAI

AI Video Content System

Apply video generation AI to a real-world use case. These projects make your profile look more modern, practical, and versatile — useful far beyond "AI-only" roles.

PROJECT 6 Agentic AI

AI News Intelligence Agent

Build a multi-step agent that monitors news, surfaces insights, and delivers structured output. This is closer to a real workflow than any classroom exercise — the kind of project that generates interview conversations.

PROJECT 7 Agentic AI · Capstone

Document Review Automation

Build a business-use-case AI agent that reviews documents and extracts structured information. The full-stack capstone. Publish it. Put it on your resume. Talk about it in interviews. This is proof.

Your Instructor

Priyam Dalmia

AI Research Engineer @ Google  ·  Founder, Inspire AI
  • IIT Kharagpur alumnus
  • AI Research Engineer at Google (current)
  • Ex–Microsoft Research (internship — self-taught, no ML background)
  • Ex–American Express AI/ML team
  • Taught 1,000+ engineers via live workshops & courses
  • Students placed at Apple, Goldman Sachs, JP Morgan, Zepto, Flipkart
My first AI role came after many rejections.

I studied Aerospace and worked in fluid dynamics research. I knew I wanted to move into AI — but nobody was there to tell me which projects to build, how to do them, or how to present them. I figured it out by doing.

Once I built the right projects and showed them properly, I landed Microsoft Research. That one move changed the trajectory of my career — and eventually led me to Google.

The gap isn't intelligence. It's practice and direction. That's exactly why Inspire AI exists — to give every engineer the blueprint I had to discover the hard way.
What changes

Where you'll be when you finish.

Not just more knowledge — a genuinely different profile.

Before Inspire AI

  • ✗
    Drowning in AI buzzwords, saving reels, and watching tutorials without building anything real.
  • ✗
    Your resume looks identical to thousands of other engineers in the market.
  • ✗
    Staying quiet in AI discussions because you lack a solid mental model of how it works.
  • ✗
    Feeling career anxiety and wondering if AI is going to eventually replace you.

After Inspire AI

  • ✓
    Deep clarity and a robust mental model of exactly how ML models and Agents function.
  • ✓
    7 production-style projects deployed directly onto your GitHub and LinkedIn portfolio.
  • ✓
    Confidence to lead and speak up in technical AI architecture discussions.
  • ✓
    Career leverage: using AI to 10x your output and actively attracting tech recruiters.
What learners say

Real engineers. Real outcomes.

These are actual quotes from people who completed the program — not generated testimonials.

"

The course helped me easily add three solid projects to my resume. The modules prepared me for follow-up questions interviewers had for me on the projects. Loved the end-to-end nature of the project. 10/10 recommended for anyone looking to get their hands dirty with ML.

Seemant Achari
Apple
SDE background → ML path
"

Every resource was either too shallow or too overwhelming — this course made everything intuitive. What amazed me most was how much I learned in such a short time without feeling overwhelmed. It truly was my game-changer for cracking a Day 1 interview.

Khushi Verma
Goldman Sachs
Day 1 campus placement
"

I had zero knowledge in ML and this course created a great interest in me. I completed the full project and added it to my resume. In my Flipkart interview for a Supply Chain & PM role, they asked me a lot about this project — and I got the offer.

Anwesha Ghosh
Flipkart
Product Management role, Day 1 placement
"

It felt like hitting a reset button on my fundamentals — covering everything I'd forgotten in such a short time but in a way that didn't feel rushed or shallow. Thanks to this course, I felt fully prepared no matter what the interviews threw at me.

Akshat Ansh Nayak
Accenture
3 years ML experience → refreshed foundations
"

This course was a complete game-changer as I prepared for my interview. It managed to deliver both the big picture and the important details in a way that felt easy to grasp. For the first time, I felt like I had a guide that covered everything I needed without the overwhelm.

Priyanshu Shaw
Zepto
Landed offer after completing the program
Recent workshop feedback
Students called the sessions practical, clear, and resume-relevant.
AZ AI/ML Workshop

"Today’s workshop was really helpful. Working on the project made the concepts clearer, and it was great to see how it all works in practice."

Workshop participant

"The teaching was perfect and made us understand vast topics easily."

Workshop participant

"The project session was very useful for revising ML libraries, and this project will play a major role in my resume."

Workshop participant

"The session helped me create a project and mention it in my resume. It widened my knowledge about resume building."

Workshop participant

"I’m not familiar with Python and machine learning, but the projects presented by Priyam sir and team were awesome. I’m keen to learn more from them."

Workshop participant
The course

8 structured modules. No long playlists.

Short, focused modules built for working professionals with a busy schedule. Intuition-first, not math-heavy. Roughly 100 minutes of lectures, 150 minutes of guided activities — completable alongside your job in a few weeks.

01

Introduction to Machine Intelligence

Go beyond the buzzwords. Build a robust mental model of how modern AI and ML systems actually learn, why they work, and where they fail. First principles for real engineers.

Foundations
02

Machine Learning Fundamentals

Master the building blocks of every modern AI system: data pipelines, model architecture, and training loops. Includes your first hands-on guided project.

Foundations Guided Project
03

How Models Actually Learn — Gradient Descent

Stop treating ML as a black box. Understand and visualize the exact mathematical mechanism (Gradient Descent) that drives model training.

Foundations Guided Project
04

Generative AI — LLMs, Prompting & Modern Systems

Large Language Models explained properly. Dive into transformer architecture, how they are trained, and advanced prompting techniques used in production environments.

GenAI
05

Image & Video Generation AI

Discover how diffusion models generate high-fidelity images and video. Apply this to real-world product design and content workflows with two full guided projects.

GenAI 2 Guided Projects
06

Coding with AI

Leverage AI as a serious engineering co-pilot—not just autocomplete. Ship faster and write production-grade code, featuring a guided project with resume assistance.

Applied AI Guided Project Resume Assistance
07

Agentic AI — State-of-the-Art Systems

The cutting edge of AI. Build multi-step, reasoning agents that solve real business problems. Features two major guided projects: a News Intelligence Agent and a Document Review Agent.

Agents 2 Guided Projects
08

Showcase & Portfolio Publishing

Your skills only matter if the market sees them. Get step-by-step resume assistance and learn to publish your 7 projects on LinkedIn and GitHub so premium tech recruiters actually notice you.

Career Impact Resume Assistance
Enroll

One investment. Proof that lasts.

AI-skilled roles in India pay 53% more at the median. This course is the structured path to getting there.

Complete Program

Inspire AI — Build, Prove, Get Noticed

₹1,999
₹4,499
You save ₹1,600 — Limited-time pricing
  • All 8 structured modules — short & focused
  • 7 fully guided, industry-style projects
  • Portfolio publishing system (LinkedIn + GitHub)
  • Quizzes and exercises throughout
  • Certificate of completion
  • Lifetime access — learn at your pace
  • Works alongside your job — complete in 4–8 weeks
Enroll Now — ₹1,999
🔒   Secure checkout  ·  Questions? Email us before enrolling
Questions

Common things people ask.

Straight answers — no fluff.

Do I need coding experience?+
No coding experience is required to start. The course is built for working professionals with a tech or engineering background who want to understand and build with AI — not for computer science graduates who already have ML training. If you already code, you'll find the project work even more hands-on and useful.
I already code. Is this too basic for me?+
No. This teaches the AI layer — not programming basics. Many engineers who code every day have never trained a model, built an agent, or published an AI project on their portfolio. If you can build, this course gives you the AI knowledge and project proof to translate that into career growth. Most engineers who've taken this found the projects challenging and the foundations refreshing.
How long will this take? I'm busy.+
The program is designed for working professionals. There are roughly 100 minutes of lecture content and 150 minutes of guided activity/project content — plus quizzes and exercises. Most people complete it comfortably alongside their job in 4–8 weeks at a few hours per week. The modules are short and focused — no binge-watching required.
What will my portfolio actually look like after this?+
You'll have 7 documented, published projects spanning: AI-powered learning content, trained ML models, GenAI applications (image and video), and two agentic AI systems. Each project comes with guided publishing instructions so you can put them on LinkedIn and GitHub where recruiters actually look. These are not toy demos — they're the kind of projects that generate interview conversations.
Why should I learn from Priyam specifically?+
Because he actually works at the edge of AI at Google — not just teaching about it. His content is not GPT-generated scripts. He's an IIT Kharagpur alumnus who made the same journey many of you are considering — no AI background to Microsoft Research, to American Express AI/ML, to Google AI Research. He knows the technology deeply, he knows how recruiters respond, and he has already led 1,000+ engineers through this kind of learning. Most AI "educators" online are content creators. Priyam is an engineer who teaches.
Will this help me even if my job isn't "AI"?+
Yes — that's one of the key insights behind this program. AI projects improve your market value regardless of your current role. Anwesha Ghosh used her project to land a Product Management role at Flipkart. Seemant Achari used it to move from SDE to an ML path at Apple. The market responds to visible proof of capability — not job titles.
Is there a refund policy?+
Yes. If the course isn't what you expected, reach out within 7 days and we'll make it right. We'd rather you get value than keep your money.

The AI opportunity is real.
The question is how you use it.

Most people will keep watching tools, collecting reels, and wondering why nothing's changing. You don't have to be one of them.

Enroll Now — ₹1,999

No coding experience required  ·  Complete alongside your job  ·  1,000+ engineers trained