Industry Connect
Learn from the real world
- Mentors & experts
- Real problem statements
- Guest masterclasses
- Industry visits
- Engineering best practices
Every engineer can now explain what AI is. Almost none can show you something they made with it that a stranger uses. That gap is the whole reason phaiAI exists.
The 4-Dimensional AI Builder Program is how we close it: eight weeks, a real problem you choose, mentors practising in industry and shipping AI today — and evidence at the end instead of another certificate.
We build people, technology and ventures for an AI-native world.
The world does not need more engineers who can explain what AI is. It needs engineers who can use it to build something people actually use — and show the receipts.
An answer, a design, a working snippet — seconds, endless, nearly free. The moment knowing about AI became something anyone could buy in a weekend, it stopped being worth anything on a résumé.
Picking the problem actually worth solving. Cutting it into pieces that fit inside a week. Handing it to a real user who owes you nothing, and fixing what they break. No course can certify that. You can only accumulate it.
phaiAI sits on top of your degree, not against it. A real problem you choose, mentors who ship AI for a living, and eight weeks of one loop — build, fail, improve, ship. You leave with a thing that works and the honest story of how it broke.
Don't graduate with what you know.
Graduate with what you've built.
“What should I
learn next?”
“What problem
can I solve?”
You do not need to know everything before you start.
“Make something people want.”
Every project opens with five real user conversations. Problem first, tech second.
“Do things that don't scale.”
Hand-picked teams of 3–7. One-to-one mentors. A small cohort, deliberately.
“Ship early. Iterate weekly.”
Your first version goes live in Week 3 — a URL, not a slide. Build log stays public.
“Talk to your users.”
Weekly user research. Your mentor won't let you build for imaginary humans.
“Compound your edge.”
These habits at 19 beat these habits at 30. Starting early is the whole game.
“Do great work.”
Choose a real problem, care enormously, keep going. The only real prescription.
Curated from YC's library and Paul Graham's essays — applied, not recited.
Not the highest CGPA. Not the fanciest college. The ones who notice problems everyone else walks past.
Early enough that the habits compound before placements.
Around 40% of past fellows came from non-CS streams.
Concept-first and tool-led. Mentors calibrate to where you start.
Evenings and weekends, for eight weeks. That is the whole ask.
Add a shipped project to your portfolio before you graduate.
If you want a PDF to clear an HR filter, this will waste your time.
Learn from the real world
Build the skills for tomorrow
Turn ideas into impact
Human potential & builder psychology
Conceptual · no coding
↳ Understand AI. See the possibilities.
Concept + hands-on prompting
↳ From prompts to possibilities.
Tool-led · minimal theory
↳ Work smarter. Communicate better.
Awareness + guided demo
↳ Build with security. Use AI responsibly.
Architecture & design thinking
↳ Turn ideas into working solutions.
Industry context · high level
↳ Explore careers. See the bigger picture.
Studio & mentoring mode
↳ Build. Get feedback. Refine.
Presentation & assessment
↳ Showcase your work. Get recognised.
What this track builds
Practising industry professionals and academicians.
Live deep dives, doubt solving and project reviews.
Real tools, real projects, real skills. Not slides.
Showcase your work. Get industry feedback.
Python for AI, neural networks from scratch, PyTorch, training loops
Autoencoders, VAEs, GANs, diffusion models
Embeddings, transformers, BERT & GPT, prompt engineering, LLM APIs
Vector databases, chunking, RAG pipelines, hybrid search & re-ranking
Write and run Python inside the lab. Nothing to install.
Read, see it work, build intuition, code it, then solve a challenge alone.
Progressive hints nudge you forward when you're stuck.
Your progress through every lab is saved as you go.
Open to everyone registered for a phaiAI program or hackathon.
Sign in with the email you registered with.
“My experience at phaiAI has been genuinely transformative. In just two months I went from understanding AI concepts theoretically to building and deploying a real working AI-integrated cybersecurity system. The structured approach — starting with problem definition and documents before jumping into building — taught me how real projects are done in the industry, not just in college. The mentorship was hands-on and sessions like the RAG workshop gave me knowledge I could immediately apply to my project.”

“My experience with phaiAI was excellent. The program provided practical AI learning, hands-on project experience, and valuable mentorship. It helped me improve my technical skills, confidence, and understanding of real-world AI applications. I'm grateful for the opportunity.”

Janhavi Mahesh Zope
Symbiosis Skills and Professional University
“phaiAI helped me understand AI concepts in an easy way. The learning was practical, and I gained confidence by working on real projects. It was a great learning experience, and I would recommend it to other students”

Kartiki Padole
D Y Patil International University, Akurdi
“phaiAI has been a valuable platform for learning practical AI concepts. The hands-on projects, structured learning approach, and real-world use cases helped me understand AI engineering beyond theory. It gave me the confidence to build AI applications and strengthen my technical skills. I would definitely recommend it to students who want to gain practical experience in AI.”

Kushal Dhillo
Symbiosis Skills and Professional University
“phaiAI provided a great learning experience with practical AI concepts, hands-on projects, and supportive mentors. It helped me build confidence in AI development and teamwork. Thank you for this opportunity.”
More Neha Babruwan
Symbiosis Skills and Professional University
“I've found phaiAI to be a professional organisation which offers students a good path to interact with industry while learning about cutting edge technologies.”
Prajwal Borkar
JSPM's Rajarshi Shahu College of Engineering
“My experience with phaiAI has been really helpful and informative. The program provided me with practical exposure to AI and software development while helping me improve my technical and problem-solving skills. I especially appreciated the learning opportunities and guidance throughout the internship.”

Pramada Patwari
D Y Patil International University, Akurdi
AI Consulting & Innovation Partner
Pune, India

AI & Technology Partner
Dubai / GCC, UAE

EHS Intelligence Engine
Malaysia

Information Systems & Custom Software
Chennai, India

Industrial Engineering & AI-Driven EHS
Port Dickson, Malaysia

Curriculum-strict AI coaches for schools and coaching institutes — grounded to prescribed textbooks and boards (CBSE, ICSE, IGCSE, IB, state), teacher-controlled, with every AI interaction in the loop.
8-week hybrid AI capability program. Concept-first, tool-led, with a capstone and showcase. You learn to understand AI, use it, and design with it.
6-month studio. No product code until a named customer has signed a brief and paid something. Evidence over certificates.
Only for teams that already have a paying customer. Not a fund. Not a right.
Gen AI for Engineering Educators — 10 days / 55 hours, all disciplines.
View program →GenAI Essentials, For Engineers, At Scale, and Executive Strategy tracks.
See tracks →Telecom, BFSI, healthcare, retail, enterprise software and manufacturing.
Explore domains →Run the program at your institution with your branding and a dashboard.
Talk to us →Applications open · 3 questions · about 10 minutes
No essays. No LinkedIn. Two of us read every application end to end, and every rejection gets a real reason — not a template.