Prepare your students for placements with real, hands-on enterprise experience in the age of AI.

Students receive co-branded certifications from DeployProAI and your institution or university.

• In select programmes, we also prepare students for industry-recognised certifications from leading platforms such as Microsoft, AWS, Google, OpenAI, and Anthropic.

The focus is not just on certification, but on ensuring students have the practical capability to earn and apply them.

We work with a curated set of practitioners from organisations such as AWS, Google, Microsoft, Morgan Stanley, leading AI startups and Product Firms.

Every facilitator has hands-on experience building production systems. The focus is not theory, it is how systems actually get built and shipped.

No. Most institutions start with a single student or faculty cohort under a simple engagement letter.

An MoU typically comes later, once we move to semester or multi-year partnerships.

Both paths work.

• Starting with students shows immediate outcomes: deployed projects, portfolios, and placement readiness.
• Starting with faculty builds long-term capability, enabling your teams to design AI-native courses, define internal policies, and run future cohorts independently.

Many institutions choose to do both in parallel.

Student programmes run from 8 to 64 hours and can fit into project weeks, placement preparation, or as credit-linked modules.

• Faculty programmes run 20 to 60 hours, typically delivered in structured blocks.

Curriculum integration is planned in advance and aligned to semester timelines.

Each student builds and ships real, working software and AI workflows.

They leave with a live product, a repository, and a portfolio that holds up in interviews, not just a certificate.

Faculty don’t just attend, they build.

• They create AI-powered teaching assets, redesigned assessments, and course modules, while learning how to deliver AI-native programmes independently.

Over time, this evolves into internal capability: faculty who can lead initiatives, shape AI adoption, and contribute to institutional direction.

A classroom or lab, internet access, and a single point of coordination.

We bring the curriculum, tools, project frameworks, and facilitators.

We use current, industry-relevant AI development tools, aligned with your institution’s policies.

The focus is not just on tools, but on building production-grade, responsible AI workflows.

Student and faculty programmes are priced per cohort.

• Curriculum partnerships are structured through an MoU, with pricing aligned to scope and duration.

A clear proposal is shared after an initial assessment discussion.

Every programme produces measurable academic artefacts: deployed student projects, faculty-designed modules, assessment rubrics, and outcome mapping.

These align with accreditation requirements and support outcome-based evaluation frameworks, including Bloom’s Taxonomy.

Yes. We run 100% hands-on, in-classroom AI programmes for students and faculty, delivered at S.P.I.T. Mumbai and IIT Bombay and designed for placement readiness.

Yes. Students prepare for placements with hands-on enterprise AI experience: each builds and deploys a working system, with interview readiness at the higher levels.