Helping schools, universities and corporates build real AI capability

We design and deliver training programs that translate AI strategy into practical skills, confident execution, and measurable outcomes across education and enterprise.

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K12 Schools Industry-Academia Collaboration Corporate Learning

AI Training Focus Areas

Select the learning path that matches your institution — K12 schools, higher education, or corporate teams. Each area is designed to deliver AI readiness, operational confidence, and measurable impact.

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K12 Schools

Activate AI literacy across classrooms, turn labs into learning ecosystems, and align student programs with NEP 2020 and IndiaAI directives.

Go to K12
02

Industry-Academia Collaboration

Build higher education pathways that blend curriculum activation, research-aligned training, and modern faculty mentorship for AI-ready graduates.

Go to Industry-Academia
03

Corporate Learning

Design business-focused AI programs that accelerate workforce automation, innovation skills, and operational transformation.

Go to Corporate

Why AI Training Matters

AI training creates confidence, converts classroom and workplace technology into capability, and enables institutions to keep pace with rapid digital change.

Meeting the National Mandate

Empowering schools under NEP 2020 with AI literacy programs that prepare students for automated markets and bring computational thinking into everyday classrooms.

National Curriculum Alignment

Fully mapped to the Ministry of Education's NCF 2023 directives, CBSE skill modules, and the IndiaAI Mission's digital inclusion targets.

Infrastructural Activation

Transforming ICT and Atal Tinkering Labs investments into live technical excellence centers so hardware grants become active learning hubs.

01

K12 Schools

Practical, curriculum-aligned AI programs for schools

We help schools move from compliance to competence by delivering AI-led training models that are practice-focused, curriculum-aligned, and infrastructure-ready.

Empowering schools and institutions with practical AI competency programs under NEP 2020, fully aligned to NCF 2023 and IndiaAI Mission goals.

Project SOAR Project Vidya AI
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Project SOAR

Student-centered AI discovery programming that builds structural thinking and practical competency from grades 6 through 12.

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Project Vidya AI

Faculty upskilling for AI-augmented classrooms, automated workflows, and safe, inclusive use of technology in schools.

Project SOAR: Student Track

Future-Proofing Class 6–12 Students
Derived from the government’s SOAR framework, this student journey moves learners from basic consumption into active technical competency.

System-First Thinking

Moving beyond syntax into structural pattern mapping and logic modeling that strengthens computational reasoning.

Algorithmic Curiosity

Breaking down modern intelligent engines through hands-on exploration of software arrays and decision logic.

Responsible Technology

Embedding ethics, data guardrails, and privacy metrics at early stages so students learn safe AI habits by design.

Institutional Value for Your School

Project SOAR upgrades standard computing slots into true technical pipelines with industry-grade training blueprints that strengthen school branding, admissions appeal, and board compliance.

Institutional advantage: immediate practical value
Curriculum-ready: aligned with current national directives

Project SOAR: Student Course Catalog

Target Batch Course Name Curriculum Focus & Practical Anchors Duration
Middle School
Classes 6–8		 The AI Explorers Module Introduction to predictive thinking models, logic block programming, and identifying computational bias in everyday applications. 15 Hours
Secondary School
Classes 9–10		 Architecting Intelligence Foundational data patterns, introductory Python scripting blocks, and hands-on synthesis of automated recommendation projects. 30 Hours
Senior Secondary
Classes 11–12		 Project Innovator Track Computer vision systems (OpenCV), basic natural language arrays, and social tech capstones aligned with NCF models. 45 Hours

Project Vidya AI: Faculty Track

Capability building and digital upskilling masterclasses designed to make school educators tech-fluent mentors for AI-augmented classrooms.

The Playful Classroom

Training primary and middle school faculty teams to build automated visual storyboards, interactive content assets, and basic speech-to-text experiences for early engagement.

Duration: 12 Hours

Instructional AI Co-Pilots

Empowering secondary and senior secondary faculty teams with advanced quiz schema strategies, secure LLM orchestration, and guidance for student-led tech projects.

Duration: 20 Hours

Strategic System Governance

Helping school principals and administrators define safety guidelines, audit AI systems with ParakhAI principles, and run ethical data privacy reviews.

Duration: 8 Hours

02

Industry-Academia Collaboration

Four Pillars: Trainings, Internships, Faculty Mentoring, Research

We support universities and colleges in building AI-ready curricula, faculty development, and research-driven lab programs that connect academic outcomes with industry needs.

These four academic pillars provide practical training, immersive internships, faculty mentoring, and research support to help campuses build future-ready AI capabilities.

01

Trainings

Industry-aligned academic programs that prepare faculty and students for AI-enabled outcomes.

  • Curriculum design workshops for AI-ready courses
  • Applied lab modules and hands-on project pathways
  • Outcomes aligned to employer and research expectations

Designed to turn academic curricula into practical, industry-relevant AI learning experiences.

02

Industry Internships

Immersive programs that connect students with live engineering teams and real product challenges.

  • Co-designed internship projects with partner firms
  • Mentored deliverables and performance assessment
  • Student portfolios grounded in authentic enterprise work

A bridge between campus learning and workplace-ready AI capability.

03

Faculty Mentoring

Ongoing guidance for academic staff to deliver AI teaching, labs and research supervision.

  • Faculty coaching on AI pedagogy and lab facilitation
  • Mentoring for applied research supervision and capstones
  • Academic coaching for industry-aligned programme delivery

Helping faculty become confident AI educators and innovation mentors.

04

Research Support

Scholarship and lab enablement that help institutions turn AI ideas into publishable projects.

  • Applied research guidance for faculty and student teams
  • Lab infrastructure and prototype validation support
  • Industry collaboration pathways for innovation impact

Enabling universities to build credible AI research programs and industry partnerships.

03

Corporate Learning

Targeted programs for enterprise AI capability, leadership, and modern engineering practice.

These learning paths help corporate teams move from experimentation to reliable AI delivery, technical leadership, and business-driven influence.

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Generative AI & Copilot Mastery

6 Weeks • Blended cohorts + hands-on labs

Hands-on engineering training for AI-assisted development, Copilot integration, and safe productivity acceleration.

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Next-Gen Tech Stack Bootcamps

8 Weeks per track • Python / Java / Cloud / QA

Modular bootcamps that standardize modern architecture, best practices, and delivery excellence across teams.

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Technical Leadership Accelerator

3 Months • Part-time, 4 hours/week

Leadership coaching for senior engineers and managers to scale team impact and shape technical strategy.

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Strategic Communicator

4 Weeks • Interactive workshops + peer review

Workshops that teach engineers to translate technical direction into business value and stakeholder-ready storytelling.

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Storytelling for Engineers

4 Weeks • Immersive presentation-led workshop

An immersive program for senior engineers to pitch ideas, secure buy-in, and present technical innovation with clarity.

30-60-90 Day Framework

Day 1–30 (Learn)

Live cohorts, sandbox environments, and alignment to enterprise AI goals.

Day 31–60 (Apply)

Capstone projects solving real business problems with measurable outcomes.

Day 61–90 (Sustain)

Peer mentoring, governance handover, and quarterly innovation checkpoints.

Bridge Learning and Doing

Our active training model is delivered by engineers and project leads working in live production environments, bringing contemporary problem-solving straight into classrooms, labs, and corporate workflows.

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