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Summer AI Training for Young Innovators

Designed to help young minds
build at the speed of AI.

A hands-on summer program where students learn to turn ideas into websites, apps, and working prototypes while using AI tools to plan, build, debug, and present their work with confidence.

1
Working Prototype
4
Weeks of Hands-On Learning
AI
as a Building Partner

Backed & supported by

AWS Activate
IBM
Microsoft for Startups Founders Hub
GSD Venture Studios
NatWest
Capital Enterprise
NVIDIA Inception Program
Perplexity

Voices of Young Builders

“I finally built something myself, instead of just watching coding videos or using AI for answers.”

Riyansh GuptaStudent, Class 7

“This helped me build stronger projects and speak about AI confidently during internship and job selections.”

Vishakha SharmaStudent, DU

“The concepts not only helped me build real projects but helped me get into better roles and organizations.”

Riya MalhotraAI Product Associate at a leading startup

Join If You Are

Whether you are starting out or looking to upgrade, our program is tailored for driven individuals.

School Student

Ready to explore coding, AI tools, and product building early.

College Student

Preparing for internships, projects, startups, or tech-driven careers.

Early Career Professional

Looking to upgrade your skills and work faster with AI.

4 Weeks from Idea to Working Prototype

The most comprehensive curriculum designed for modern builders.

Week Focus Student Role AI Role Output
Week 1Foundations Web basics, HTML structure, tags, links, images, lists, tables, and forms. Write HTML manually and explain how a page is structured. Explain concepts, review code, and suggest clearer structure. Complete HTML webpage and quiz.
Week 2Design and interaction CSS selectors, spacing, color, flexbox, responsive design, JavaScript basics, and DOM events. Style pages, add interactions, and test on different screens. Suggest layout fixes and help diagnose styling issues. Styled interactive webpage.
Week 3Backend essentials Local server setup, PHP syntax, GET/POST forms, database connection, and CRUD basics. Build forms, connect data, and test complete flows. Explain errors, help plan modules, and review database flow. PHP and database mini-project.
Week 4WordPress and launch WordPress setup, themes, plugins, pages, menus, SEO basics, and launch checklist. Finalize, test, deploy, and prepare a presentation. Help with content, SEO, and launch review. Final project submission and certificate.

This teaches the student how digital products actually work, from structure, design, interaction, data, and deployment to using AI as a practical building partner. More importantly, it prepares the student to think like a young creator, making them ready for advanced courses and Alpha AI’s future flagship initiatives in app creation, automation, AI-assisted product building, and startup-style prototyping.

Choose Your Track

Pick the workload that fits your goals and schedule.

Summer Special

Standard Track

₹3,650₹4,750

Best for beginners. Students spend 2 to 3 hours per day on guided lessons, weekly projects, assessments, and a final website.

  • Beginner-friendly pace
  • Weekly assignments
  • Final website and certificate
  • Without capstone project
Select Standard

Pricing is exclusive of the required active Codex or Claude subscription, which must be arranged separately by the learner.

Why Learn with Alpha AI

500+ Students Mentored

Our students have grown into stronger builders, with pathways into top universities and leading organizations.

Research-Backed, Product-Driven

Students learn from an AI lab that powers real industrial-scale products, not just classroom examples.

Practitioner-Led Training

Delivered with Avenux Techspire: 480+ students trained and 1,000+ projects shipped over 8+ years of hands-on practice.

Not just another coding class

Regular edtech teaches lessons.
Alpha AI builds young creators.

Most online programs still prepare students for the old internet: coding modules, certificates, and guided exercises. Alpha AI prepares students for the AI era: thinking, building, debugging, presenting, and using AI without becoming dependent on it.

Comparison Point

What really matters

Typical Online Edtech

Polished, structured, but often generic

Alpha AI Young Innovators

AI-native product-building program

Starting point

Course Selection
Which course do you want to take?

Students are guided toward choosing from predefined tracks, modules, and lesson plans.

Building Intent
What do you want to build this summer?

Students begin with a creation mindset — choosing what they want to imagine, build, test, and improve.

Core philosophy

Edtech First
Teach coding as curriculum.

Students move through predefined lessons and exercises.

Research Lab Led
Teach building as a mindset.

Students learn how real digital products are imagined, structured, built, tested, and improved.

Relationship with AI

AI As Topic
AI is often another module.

Students may learn about AI without learning how to think with AI.

AI As Co-Builder
AI is part of the workflow.

Students learn prompt thinking, output review, debugging, iteration, and responsible use.

Outcome

Course Completion
Projects for class progress.

The goal is often to finish assignments and earn a certificate.

Portfolio Creation
Prototypes for real portfolios.

The goal is to build something the student can explain, present, and improve.

Track record

Certificate Metrics

Course completions and certificates.

Proven Experience

Avenux Techspire: 480+ students trained, 1,000+ projects shipped, 8+ years.

Alpha AI: 500+ students mentored, 100+ professionals trained, with engagement across several top-tier institutions in India for capacity building and AI workshops.

Student mindset

Follow Instructions
Good learners may still remain passive.

They follow teacher instructions, but may not develop product judgement.

Think Like Builders
Students are pushed to make decisions.

They learn why a product should exist, who it serves, and how to make it usable.

Teaching lens

Teacher-Led
Sessions are usually education-delivery led.

Quality depends heavily on assigned instructors and standard teaching flow.

Industry-Led
Sessions are shaped by people building AI products.

The focus is practical exposure, modern workflows, and real-world product thinking.

Use of ChatGPT and AI tools

Often Uncontrolled
Students may use AI to bypass learning.

The hidden risk is dependency: copying answers without understanding them.

Disciplined AI Use
Students learn how not to be fooled by AI.

They question outputs, test suggestions, find errors, and keep ownership of the work.

Relevance in 2026 and beyond

Old Coding Economy
Syntax alone is losing value.

Beginner code is now easy to generate. Memorizing commands is no longer enough.

AI-Native Economy
Judgement is the new advantage.

Students learn problem framing, AI collaboration, product logic, and execution clarity.

Admissions

Register interest for the next cohort.

Students who want practical exposure to coding, AI tools, web design, and project presentation. The course can be adapted for school or early college learners.

No. The standard track starts from the fundamentals. The capstone track is better for students who can commit extra time.

A set of weekly projects, a final website or app-style project, a presentation, and a certificate-ready completion record.