01 Y School · Yellow School of Applied Technologies
Academia teaches AI basics.
Y School makes you industry ready.
Work on real industry AI & Automation problems, get interview-ready through real-world project experience, and prepare yourself for enterprise AI roles.
02 Why This Exists
The gap between learning AI and working in enterprise AI is real.
Most students learn models, prompts and tools in isolation. Enterprise AI roles require something different: understanding business problems, working with real data and systems, making technology choices, validating outcomes and seeing how solutions move into production.
Y School is built to bridge that gap. The AI & Automation Career Accelerator gives participants structured exposure to the way enterprise AI teams actually think, build, review and deliver.
03 What Makes Y School Different
Five things you won't get from a standard AI course
Real industry problems
Work on curated business problems inspired by enterprise operations, not basic chatbot assignments.
Practitioner-led sessions
Learn from experienced AI architects, engineers and consultants working on enterprise AI programs.
Founder Connects
Hear directly from founders and industry leaders about how technology, business and careers intersect.
Enterprise AI exposure
Understand how AI is applied across workflows, data, automation, RAG, LLMs, ML and decision systems.
— Industries You Will Explore
04 AI & Automation Career Accelerator
Learn how enterprise AI is applied — from business problem to working solution.
An 8-week, 80-hour applied learning program for undergraduate students and fresh graduates who want to move beyond AI basics and understand how AI solutions are built for real enterprise environments. Participants work through curated industrial use cases, learn from experienced practitioners, and build the judgement required to discuss, design and contribute to enterprise AI initiatives.
Who this is for
- UG students from any discipline who are serious about exploring AI's role in the enterprise era
- Fresh graduates seeking stronger real-world project exposure before entering AI, software, data or automation roles
- Students with basic programming or analytical exposure, willing to learn outside scheduled sessions
- Early-career builders who want to understand how business requirements become technology solutions
05 Real Business Problems
You will work on the same problems enterprise AI teams do.
Not another chatbot project. Build the thinking, exposure and project experience expected in enterprise AI environments.
Building AI agents and copilots for enterprise workflows
Understand where agents add value, how tasks are orchestrated and where human review remains essential.
Automating real business processes using AI + workflow tools
Explore how AI connects with approvals, rules, notifications, data movement and operating workflows.
Working with enterprise data, APIs, ML models, RAG and LLM-based solutions
Learn how multiple technologies combine inside a practical enterprise solution instead of treating AI as a standalone model.
Following the full AI use-case lifecycle
Understand how a use case moves from business problem to governance, end to end.
Solving curated cross-industry use cases
Work on problems inspired by Manufacturing, Supply Chain, Finance, HR and Enterprise Operations.
— The AI Use-Case Lifecycle
06 Expert-Led Learning
Learn from people who build enterprise AI, not only people who teach it.
Sessions are designed to be led by experienced AI architects, engineers and consultants who work on enterprise AI programs and understand the realities of delivery: requirements, data quality, integration, evaluation, governance, adoption and production constraints.






07 Pathway to TYN Internship
Strong performance can open the door to real enterprise project exposure.
How performance is evaluated
- Consistency and participation
- Problem framing and structured thinking
- Quality of project contribution
- Ability to learn and apply feedback
- Communication and documentation
- Professionalism and reliability
08 Founding Cohort Offer & Admissions
Founding Cohort · special launch fee
Seats are intentionally limited to protect interaction quality, project review time and access to practitioners. Admission to the founding cohort is application-based.
Outside the launch offer
Cohort 1 launch pricing
80 hours, hybrid delivery
Submit interest / application
Short readiness review
Program manager interaction, where required
Seat confirmation and fee payment
Cohort onboarding
09 About Y School
Applied technology education built around the way industry actually works.
Y School — Yellow School of Applied Technologies — is an applied learning initiative focused on helping students and fresh graduates bridge the gap between academic knowledge and real-world technology delivery. Rather than treating AI as a collection of tools, Y School helps learners understand where AI fits in business, how solutions are shaped, and what it takes to contribute in a professional delivery environment.
Our learning principles
10 Frequently Asked Questions
What people ask before applying
Is this an internship program?
Who can apply?
Do I need to be from Computer Science?
Do I need prior AI experience?
What is the duration and mode?
What will I work on?
Will I receive a certificate?
Is an internship or job guaranteed?
What is the Founding Cohort fee?
How do I speak with the program team?
11 Contact
Ready to explore enterprise AI beyond the classroom?
Speak with the Y School program team to understand the founding cohort, eligibility, learning model, schedule and career pathway.
— Founding Cohort · Limited Seats
