Enterprise AI training

AI workshops for the work you do.

Five practical programmes for leaders, professionals and technical teams. Choose your audience to explore the curriculum.

Leaders

Strengthen your own leadership practice or lead change across the organisation.

AI for Leaders

2-day design target

Enhancing Leadership Effectiveness

C-suite executives, business unit heads and senior leaders. No prior AI experience required.

Use AI to prepare decisions, align people and strengthen leadership follow-through.

Programme in development · duration subject to rehearsal.

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6 modules · 6 applied labs

What you take away

A Leadership AI Playbook with a decision memo, initiative workspace, delegation brief, reusable review method and personal pilot.

Day 1: Map leadership responsibilities and bottlenecks, prepare better decisions, and set direction and priorities.
Day 2: Communicate and delegate, review performance, and establish a measurable AI-supported leadership practice.

Programme in development. Duration subject to rehearsal; contact us to discuss delivery.

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AI for Leaders

2-day design target

Leading Organisational AI Transformation

Transformation sponsors, C-suite executives, business unit heads and steering committees.

Develop a cross-functional AI transformation proposal with ownership, investment and pilot measures.

Programme in development · duration subject to rehearsal.

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6 modules · 6 applied labs

What you take away

An Enterprise AI Transformation Playbook covering opportunities, workflow redesign, investment, ownership, workforce change and a measurable pilot.

Day 1: Connect opportunities to strategy, redesign a cross-functional value stream, and evaluate readiness and investment.
Day 2: Define governance and ownership, plan workforce adoption, and decide how to run, evaluate and scale pilots.

Programme in development. Duration subject to rehearsal. Leadership-effectiveness training or equivalent practical AI experience recommended.

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Professionals

Put AI to work in everyday tasks, projects and recurring processes.

AI for Everyone

2 days

Transforming Everyday Work

Professionals across roles and departments. No coding required.

Create tested AI working methods for your tasks, projects and recurring processes.

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6 modules · 6 applied labs

What you take away

An AI Implementation Playbook with tested prompts, project context, a reusable skill, an agent assessment and an adoption plan.

Day 1: Discover worthwhile opportunities, apply AI to a task, and set up project context that others can resume.
Day 2: Build and test reusable skills, design and simulate a bounded agent, and measure value for a focused adoption pilot.

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Technical teams

Build AI applications or improve software delivery.

AI for Engineers

5 days

Building AI Applications

Software developers, cloud engineers and QA engineers with 4+ years of experience. No prior AI/ML required.

Build an AI application prototype through retrieval, agents, enterprise integration and evaluation.

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15 modules · 15 labs · evolving capstone

What you take away

An AI application prototype with retrieval, controlled agents, enterprise connections and evidence for assessing production readiness.

Day 1: Make model calls, engineer prompts and context, and assess application patterns, cost and ROI.
Day 2: Build and evaluate RAG, improve retrieval, and run a fine-tuning experiment.
Day 3: Build tool-using agents with LlamaIndex, memory, persistent state and human approval.
Day 4: Connect APIs and databases through MCP with access controls, limits and audit.
Day 5: Test behaviour, assess adversarial failures, add observability and deploy a prototype.

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AI for Software Developers

3 days

Transforming the SDLC

Working developers using coding assistants to understand, change, test and deliver software.

Use coding assistants to specify, implement, test and deliver independently verified software changes.

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9 modules · 9 applied labs · evolving repository

What you take away

Tested software changes, PR and release evidence, a peer-tested reusable development procedure and an independent capstone.

Day 1: Use a coding assistant effectively, understand a repository, write a specification and implement a controlled change.
Day 2: Strengthen tests, diagnose defects, refactor, review changes and prepare release evidence.
Day 3: Connect development context, evaluate and share reusable procedures, and complete an independent capstone.

Discuss this workshop

Instructor-led, on-site or remote. Client adaptations, delivery format and pricing are scoped to your team. Standard durations are shown above; leadership programme timings remain provisional.

Practical training. Measurable progress.

Impact framework

Compare work against a baseline: quality, cycle time, review effort and useful output. Define what improvement means for your team.

Risk framework

Check AI outputs, examine dependency and preserve human judgment. Include verification and correction costs when assessing value.

THE FOUNDERS

Two backgrounds. Two frameworks. One workshop.

The reason every training carries both an impact and a risk framework is that the people who built it spent their careers on each.

Ajinkya Kolhe

Co-founder & Principal Enterprise AI Trainer

Ex-Google Cloud · Ex-IIT Bombay BharatGen

Owns: Impact framework

Measures lift on your real projects — cycle time, quality, throughput.

15 years in technology, including 10 years in enterprise training. Former Data Engineering & ML Instructor at Google Cloud and AI Training & Upskilling Manager at IIT Bombay’s BharatGen. Previously a software developer at Morgan Stanley. Delivers practical AI programmes for leaders, business teams and engineers. 2× TEDx speaker.

LinkedIn Email Ajinkya

Shreya Bhattacharya

CEO

The risk analyst.

Owns: Risk framework

Manages two AI failure modes — model hallucinations and cognitive atrophy.

A decade of strategy across Global Finance, FMCG, and Tech. Designed the intelligence economics framework that connects AI risk measurement to business value.

LinkedIn Email Shreya

Ajinkya has delivered training to teams at

Acuity Analytics · Allianz · Envestnet · EY · Godfrey Phillips · Hettich · Tata Power · MKCL

Discuss training for your team.

Tell us who you want to train and what you want them to do better. We’ll help you choose the programme and scope the engagement.

Enquire about training