MedhaLeap

MEDHA ACADEMY

We don’t just teach AI —

we build the capability to ship it

01 · Paths

Two paths. One capability.

Whether you are enabling an enterprise team or advancing individual expertise, every Medha Academy program is designed to produce practical, lasting capability—not just course completion.

LAB

01 · 1–5 weekly hands-on sessions

For enterprise teams moving from AI ambition to working capability.

Learn

Build practical knowledge of LLMs, agentic workflows, retrieval, guardrails, and secure enterprise AI architecture.

Activate

Apply those concepts to an agreed business workflow, your approved tools, and your organization’s data and security controls.

Build

Deliver one secure, production-ready AI workflow for a defined, high-value use case—ready for team ownership and further development.

Designed for

6–15 developers, data scientists, architects, and product or operations leaders.

Delivered in

Your approved environment, using your technology stack and security standards.

You leave with

A working AI workflowBuilt for an agreed business use case—not a sandbox demo.

Architecture and controlsDocumentation your team can operate and build on.

A team that can extend itEquipped to govern, improve, and own the solution.

A practical roadmapThe next high-value AI workflows, already sequenced.

AIM

02 · A weekend intensive + four-week guided build

For developers and technical professionals building advanced AI systems.

Accelerate

Move beyond introductory concepts into practical AI systems engineering, including LLM applications, retrieval, evaluation, and tool use.

Intensify

Develop deeper skill in guardrails, multi-agent coordination, dynamic tool calling, and reliable workflow design.

Master

Build end-to-end capability across the agentic lifecycle—from architecture and implementation to evaluation, deployment, and improvement.

You leave with

A production-oriented projectAn AI project or capstone you can keep building.

Agentic workflow experiencePractical work with evaluation, tools, and reliability.

A reusable engineering approachA way of working you can apply to the next system.

Stronger technical judgmentFor building AI systems that are valuable and responsible.

02 · Takeaways

You leave with

leverage

Not

lecture notes.

Certificates expire.

→

Capability compounds.

Success is simple

something valuable is running,

Then

your team knows how to improve it.

A system that ships

A working AI workflow—not a sandbox demo or slide deck.

Teams ready to extend

Confidence to design, govern, and improve without another course.

Value that compounds

Patterns that transfer into the next workflow and team.

03 · Curriculum

What we teach

Configured to your goals, stack, and maturity. Grounded in the capabilities required to build enterprise-ready AI.

Generative AI foundations

Understand LLMs, embeddings, retrieval, context windows, evaluation, and the limits of general-purpose models.

AI-assisted engineering

Use AI to accelerate development through effective prompting, iteration, code review, testing, and structured delivery.

Agents and workflows

Design AI agents that retrieve context, use approved tools, produce structured outputs, and operate through multi-step workflows.

Security and governance

Apply access controls, guardrails, human approval, observability, and evaluation to keep AI systems safe and dependable.

Cloud and enterprise architecture

Build portable AI systems across cloud, hybrid, or on-premises environments while respecting enterprise constraints.

From idea to operation

Move from use-case selection and architecture to implementation, deployment, measurement, and continuous improvement.

04 · Programs

Choose the program that fits.

Corporate cohort

A LAB program for teams building internal AI capability around priority workflows.

Individual mastery

An AIM path for technical professionals developing advanced, production-oriented AI expertise.

On-demand workshop

A focused session for a specific project, skill gap, or urgent technical decision.

05 · Principles

Sustain standards.

Principles Over Playbooks

We transfer the core logic and architecture behind the system, not just execution steps.

Compounding Value

Architect systems so every operational cycle enriches the next—nothing starts from zero.

Independent Capability as the Gate

Define project completion by your team’s ability to operate, maintain, and scale the outcome autonomously.

06 · Get started

Request a training proposal

Tell us what your team wants to achieve with AI, and we’ll create the right training plan.

Book a demo