AI Executive Education for Enterprises: Workshops, In-Company AI Training & CXO Academy

Three ways to start

Send one person, train the whole organisation, or build the engine

For individuals & nominated teams

Join a workshop, or sponsor seats

Workshops for leaders, managers and engineers. Enrol yourself, or nominate one person or a whole team from your company. Next: Aegis workshops at Bharat AI Innovation 2026.

Hands-on from the first hour
Skills assessed and certified on Assessfy
Every workshop can also run privately for your company

See the workshops →

For L&D heads & business leaders

Train your organisation

An in-company program built around your business, not a course catalogue.

Training-need diagnosis and use-case discovery
On-site training by role, then on-the-job projects
Competency reports for every participant

Request a proposal →What is included

For CXOs & boards

Build an AI Centre of Excellence

When training alone is not enough: a central team, platform and governance that ships use cases every quarter.

CoE Design in 6–8 weeks
CoE Build in 90 days
CoE-as-a-Service, run with you for 12+ months

Explore the AI CoE →Talk to us

Workshops

Enrol yourself, or sponsor your people

Start with an Aegis workshop at Bharat AI Innovation 2026, or pick a track from the catalogue and send one person or a whole team.

Open for registration · Hosted by Aegis

Aegis workshops at Bharat AI Innovation 2026

Bharat AI Innovation 2026 is India's B2B platform for AI, organised by Aegis Knowledge Trust at the World Trade Center, Mumbai. Aegis School of Data Science & AI hosts its training workshops: expert-led, hands-on sessions for the leaders deciding where AI goes and the engineers who build it. Every workshop carries a completion certificate from Aegis.

Dr. Vinay Kulkarni

Adjunct Faculty, IIT Bombay
Director, Aegis School of Data Science & AI

For CXOs

Data Science to Agentic AI: A CXO's Guide to Strategic Decision-Making

As organisations move from Data Science and Machine Learning to Generative AI and Agentic AI, CXOs face a critical challenge: identifying the right business problems, selecting high-value AI use cases, evaluating pilot outcomes, and scaling successful solutions into production.

This session gives business and technology leaders a practical framework for navigating the AI landscape, making informed technology and investment decisions, and turning AI opportunities into measurable business outcomes.

What the session covers

Identifying the right business problems: where AI can address meaningful business challenges and create measurable value.
Selecting and prioritising AI use cases: when to use Data Science, Machine Learning, Generative AI or Agentic AI, based on business needs, feasibility and risk.
Designing and evaluating AI pilots: defining success metrics, establishing baselines, and evaluating technical performance and business impact.
Moving from pilot to production: assessing readiness for enterprise deployment, including integration, security, governance, scalability and operational reliability.
Scaling AI for business impact: a roadmap to prioritise investments, scale successful solutions, and realise sustained business value.

Key takeaway: a practical decision-making framework for CXOs to move from AI opportunities and pilot projects to reliable, scalable, production-ready enterprise solutions.

Register for this session →Full session page at Bharat AI Innovation

Moderator

Bhupesh Daheria

CEO, Aegis School of Data Science & AI

Dr. Vinay KulkarniAdjunct Professor, IIT Bombay; Director, Aegis
Dr. Ashish TendulkarLead, Google AI

CXO Roundtable · Closed-door · 60 minutes

Building the Enterprise AI Workforce: Talent, Delivery and the Rise of Forward-Deployed Engineering

A closed-door conversation for the leaders responsible for enterprise AI talent and delivery: why AI investments stall before production, which skills teams now need, and how forward-deployed engineering closes the gap between a business problem and a working system.

Roundtable agenda

The Enterprise AI Execution Challenge. Why organisations struggle to translate AI investments into production-ready solutions and measurable business outcomes.
Building the Enterprise AI Workforce. Emerging skills, capability gaps, and preparing engineering and data teams for Generative AI and Agentic AI.
The Rise of Forward-Deployed Engineering. How FDEs bridge business problems, AI engineering and enterprise implementation, and how the approach differs from traditional software engineering, AI engineering and consulting.
From AI Pilots to Production. Evaluating pilots, establishing success metrics, addressing integration and governance challenges, and developing scalable AI delivery models.
Industry–Academia Collaboration. Industry-ready talent, corporate training, reskilling, and practical learning pathways for enterprise AI.
Key Takeaways and Next Steps. Priority workforce capabilities, enterprise challenges, and opportunities for collaboration.

Intended audience: L&D heads, delivery heads, Chief AI Officers, Chief Data Officers, CIOs, CTOs, and enterprise technology and workforce transformation leaders.

Ask about a seat →Full session page at Bharat AI Innovation

Dr. Ashish Tendulkar

Google AI

Live coding · 90 minutes

From Prototype to Production: Building Enterprise AI with Forward-Deployed Engineers

How do you turn a real business problem into an AI solution that can work in an enterprise? This 90-minute session introduces the Forward-Deployed Engineer (FDE) role and shows how business needs, AI engineering and enterprise integration come together. Through live coding, participants see an AI-powered workflow built, tested against realistic cases, and examined through the lens of production readiness.

What you will take away

What a Forward-Deployed Engineer does, and how the role differs from traditional software and AI engineering.
How an engineer translates a business problem into a scoped AI solution and architecture.
A live-coded enterprise AI workflow that connects an LLM with data, tools and business logic.
Why testing, failure handling, security, reliability and evaluation matter beyond a working prototype.

The 90 minutes

The rise of the FDE. What a Forward-Deployed Engineer is, why the role is emerging, and why enterprises need engineers who can connect business problems to working technology.
The FDE mindset. How FDEs discover the real problem, clarify requirements, define constraints, and identify what success should look like.
Designing the solution. A concise walkthrough of the architecture: model, enterprise data, tools or APIs, workflow, and guardrails.
Live coding: build an enterprise AI workflow. A focused business workflow agent, such as a procurement assistant that checks policy and supporting information through a mock enterprise API, then recommends a next step.
Test, find failures, improve. Realistic test cases, including missing information or a policy exception. Examine the output, identify failure modes, and demonstrate an improvement.
From prototype to production. What real deployment needs: access control, privacy, reliability, observability, evaluation, human approval, and integration.
Key takeaways. The FDE mindset and the capabilities required to build useful enterprise AI.

Who should attend: fresh engineering graduates, software developers, AI/ML engineers, data scientists, technology leaders, and enterprise decision-makers, including CIOs, CTOs and Chief Data Officers.

Register for this session →Full session page at Bharat AI Innovation

Dr. Parijat Shukla

PhD, Iowa State University

Hands-on · 90 minutes

Automatic Speech Recognition (Speech-to-Text)

A 90-minute workshop on Automatic Speech Recognition (ASR), also called Speech-to-Text (STT): the kinds of speech problems it solves, the popular models available today, and how to choose the right model and the right hardware for your task. It ends with a hands-on session.

What the 90 minutes cover

Introduction to Automatic Speech Recognition (ASR), or Speech-to-Text (STT).
The various types of ASR and STT problems.
A short discussion of the popular models available.
From problem to solution: identifying the problem and developing a solution, selecting the right model and hardware for your task, optimisation and trade-offs.
A hands-on session.

Who should attend: AI/ML enthusiasts, technical entrepreneurs, and others building products with speech.

Register for this session →Full session page at Bharat AI Innovation

More Aegis workshops coming soon at Bharat AI Innovation

Generative AI & LLMs
Agentic AI Development
VibeCoding & AI-Assisted Development
AI Product Development
Recommender System Development
AI Chatbot Development
LLM Model Fine-Tuning
Computer Vision & Image AI

How to attend at Bharat AI Innovation 2026

Register for Bharat AI Innovation 2026Choose the Premium Delegate or VIP pass on bharataiinnovation.com. Each pass includes one workshop seat, along with the conference.
Pick your workshopOnce registered, you choose your workshop seat in the event app. Seats are limited and go first come, first served.
Come to the World Trade Center, MumbaiCuffe Parade, Mumbai. For hands-on sessions, bring a laptop with at least 8GB RAM, basic Python knowledge and a GitHub or Google Cloud account.
Leave with an Aegis certificateEvery workshop carries a completion certificate from Aegis School of Data Science & AI.

Register at Bharat AI Innovation →Sponsor seats for my team Group booking at Bharat AI Innovation All training workshops

The workshop catalogue

For individuals, sponsored teams and private cohorts. Pick the workshop that matches the seat and tell us how many people you are sending.

AI CXO Academy · 1–2 days

AI for CXOs & Boards

Who to send: CEOs, CXOs, directors and business heads.
They come back able to: Where AI moves the P&L, a ranked use-case shortlist, a position on risk and governance, and a 90-day plan.

Reserve seats →About the AI CXO Academy

20 hours

The Agentic Professional

Who to send: Managers and domain experts in finance, HR, legal, operations and sales.
They come back able to: Build private, governed AI agents for their own work, running on their own machine with Ollama, n8n and MCP.

Reserve seats →Course details

3–5 days

Data Literacy & Business Intelligence

Who to send: Managers, analysts and operations teams.
They come back able to: Read data critically, write SQL, build Power BI or Tableau dashboards and make a decision memo.

Reserve seats →Track details

2–6 weeks

GenAI & AI Agents for Engineers

Who to send: Software and data engineers.
They come back able to: Ship LLM applications, RAG and agents with tools, with evaluation, guardrails, cost control and cloud deployment.

Reserve seats →Track details

2 weeks · Assessfy-certified

The FDE Accelerator

Who to send: Engineers who deploy AI for clients or business units.
They come back able to: Ten modules across enterprise data engineering and resilient AI engineering, taught on real projects.

Reserve seats →Program details

4–8 weeks

Applied Data Science

Who to send: Analysts and engineers becoming data scientists.
They come back able to: Python, statistics, machine learning, feature engineering and deployment, on real datasets.

Reserve seats →Track details

In government? See the Executive Certificate in AI, Data Science & Intelligent Governance for civil servants and department heads.

In-company programs

Everything it takes to make AI skills stick

A workshop teaches a person. An AI-ready organisation needs the right people trained in the right things, on real work, with proof that it worked. An in-company engagement covers all eight parts.

🔎

Training-need identification

We interview business heads, map each role to the AI skills it now needs and baseline current skills. You get a skills-gap report by role and function.

💡

Use-case discovery

Working sessions with each function to find where AI saves time, cost or risk. Every idea is scored and the shortlist gets an owner.

🏢

On-site training

Practitioner faculty teach at your offices, on your tools and your data. Also live online, hybrid, or as an immersion at the Aegis Mumbai campus.

🛠️

On-the-job training

Participants apply each module to their own work. Teams take a shortlisted use case to a working pilot with faculty mentoring and office hours.

📊

Competency assessment & development

A competency framework per role, a baseline, a reassessment and a development plan for each person. Managers get a skills report per participant.

🎯

CXO coaching & workshops

Private coaching, leadership workshops and board briefings, so the sponsorship comes from the top. AI CXO Academy →

💻

Learning management platform

Learning paths, session recordings, assessments and certificates in one place, on Aegis's own mUniCampus and Assessfy platforms.

🚀

AI-readiness roadmap

A plan for what training cannot fix alone: data, tools, governance, roles and the operating model. AI Centre of Excellence →

How an engagement runs

Six steps from AI-curious to AI-ready

Each step ends with something you can hold us to.

Diagnose the needInterviews with sponsors and business heads, a role-to-skill map and a baseline skills assessment on Assessfy.You get: a skills-gap report by role and function
Discover the use casesSessions with each function to list where AI can help, scored on value, feasibility, data and risk.You get: a ranked use-case shortlist with an owner for each
Design the learning pathsRole-based paths sequenced to your stack and built around the shortlisted use cases, so every lab uses a problem your people recognise.You get: a curriculum and schedule signed off by your sponsor
Train on-siteLive sessions and labs by practitioner faculty at your offices. Live online, hybrid or a Mumbai campus immersion where that suits better.You get: people who have built something in every session
Apply on the jobBetween sessions, participants use what they learned on their own work. Teams take a use case to a working pilot with faculty mentoring.You get: working pilots, demonstrated to leadership
Measure and sustainReassessment against the baseline, reports for managers and leadership, and a 90-day follow-up on what shipped. Learning continues on the platform.You get: evidence of the skills lift, and the next plan

Start with the diagnosis

Most engagements begin with steps one and two. You see the gaps and the use cases before you commit to a training budget.

Request a diagnosis →

Competency assessment & development

Skills you can measure, role by role

Every role gets a target level. We assess where each person is, train to the gap, and assess again.

Level 1 · Aware

Knows what AI can and cannot do

Understands the basics, the risks and the company's rules, and uses approved tools safely. The floor for every employee.

Level 2 · Fluent

Uses AI in daily work

Gets reliable results from AI assistants in their own role, checks the output, and knows when not to use it. The target for managers and domain teams.

Level 3 · Builder

Builds with AI for the team

Creates analyses, automations, agents or applications that others rely on. The target for analysts and engineers.

Level 4 · Leader

Directs AI for the business

Selects and funds use cases, manages risk and holds teams to outcomes. The target for function heads and CXOs.

What L&D and managers receive

A baseline of current skills by role and function
A skills report for each participant, assessed on Assessfy
A development plan for each person against their target level
A cohort report for leadership, and a 90-day follow-up on what shipped
A certificate from Aegis School of Data Science & AI for participants who meet the standard

Assessed, not attended

Assessfy verifies skills per module with proctored, evidence-backed assessments. You get a report on what each person can do, not a participation list.

Who we train

A path for every seat in the organisation

Who	What they need to be able to do	How we get them there
Board, CEO & CXOs	Set the AI agenda, fund the right use cases, govern the risk	AI CXO Academy: briefings, leadership workshops, 1:1 coaching
Business & function heads	Spot use cases, write the business case, sponsor a pilot	Use-case discovery sessions and AI for Leaders
Managers & domain experts	Use AI assistants and agents in daily work, safely	The Agentic Professional and on-the-job projects
Analysts	Read data critically, build dashboards, run analyses	Data Literacy & BI, Applied Data Science
Software & data engineers	Ship LLM applications, RAG and agents with evaluation and guardrails	GenAI & AI Agents for Engineers, The FDE Accelerator
HR & L&D	Own the competency framework and keep the academy running	Framework design, platform set-up and reporting
Government officers	Identify, evaluate and govern AI in public service	Executive Certificate in Intelligent Governance

Durations and module lists for each track are on the corporate training page.

Making the organisation AI-ready

What AI-ready looks like

Training is one of six things that have to be true. We work on all six, and tell you honestly which one is holding you back.

1. Leadership

A named sponsor, an AI agenda tied to business goals, and a budget.

2. Use cases

A ranked portfolio with owners and numbers, not a list of ideas.

3. People

Every role knows what AI changes in its work, and has the skills for it.

4. Data & tools

The data is reachable, and approved tools are in people's hands.

5. Governance

Clear rules on privacy, security, quality and human review, mapped to India's DPDP Act and the EU AI Act.

6. Ways of working

Teams redesign their processes around AI and measure the result.

For boards, CEOs & CXOs

The AI CXO Academy

Private coaching, leadership workshops and board briefings for the people who sign off the AI budget. No code. Your sector, your P&L, your decisions.

Explore the AI CXO Academy →

When you are ready to scale

AI Centre of Excellence

A central team and operating model that selects use cases, ships them, grows talent and enforces governance. Aegis designs it, builds it, or runs it with you.

Explore the AI CoE →

Why Aegis

A school that builds AI, and has taught it for a decade

🏛️

First in the category

Aegis launched India's first PGP in Data Science in 2015, with IBM. Our alumni work in data and AI teams at more than 500 companies.

🏭

Faculty who ship

Our faculty run production AI with public institutions: SaveNadi, Khozo and Aarakshak. Your people learn the patterns that survive real data. See the work →

✅

Our own assessment platform

Assessfy measures skills before and after, so the program is judged on what people can do.

🧭

Vendor-neutral

OpenAI, Anthropic, Google, Meta, Mistral, Hugging Face; AWS, Azure, GCP. We teach what fits your constraints.

🛡️

Governance built in

Guardrails, PII handling, evaluation and regulatory mapping to the EU AI Act and India's DPDP Act are part of every program.

🤝

A talent pipeline and an ecosystem

Hire Aegis PGP graduates and Forward Deployed Engineers, and meet India's AI buyers and builders at Bharat AI Innovation and the Aegis Graham Bell Awards.

AI Executive Education FAQ

What is Aegis AI Executive Education?

Aegis AI Executive Education is the corporate arm of Aegis School of Data Science & AI. It makes organisations AI-ready in three ways: workshops that individuals can join or companies can sponsor seats in, in-company AI training programs built around the organisation's own needs and use cases, and AI Centres of Excellence. The AI CXO Academy is its leadership practice for boards, CEOs and CXOs.

Can I enrol on my own, or sponsor employees for a workshop?

Both. Workshops are open to individuals and to employees nominated by their company. Tell us the workshop and the number of seats, and a program director replies within one business day. Any workshop can also run as a private cohort for your company alone.

Where can I attend an Aegis workshop next?

Aegis is hosting workshops at Bharat AI Innovation 2026 at the World Trade Center, Mumbai: a CXO's guide to strategic AI decision-making by Dr. Vinay Kulkarni, a live-coding session on building enterprise AI with Forward-Deployed Engineers by Dr. Ashish Tendulkar of Google AI, a hands-on Automatic Speech Recognition workshop by Dr. Parijat Shukla, and a closed-door CXO roundtable on building the enterprise AI workforce. Every workshop carries a completion certificate from Aegis School of Data Science & AI. Register at bharataiinnovation.com.

What does an in-company AI training program include?

A training-need diagnosis by role, use-case discovery sessions with each function, role-based training delivered on-site, on-the-job projects where teams take a real use case to a working pilot, competency assessment before and after on Assessfy, CXO coaching, and a learning platform that holds the paths, recordings, assessments and certificates.

Do you train on-site at our offices?

Yes. On-site delivery at your offices is the default for in-company programs. We also deliver live online, hybrid, or as an immersion at the Aegis campus in Mumbai. Cohorts run from 10 to 200 participants.

How do you identify what training we need?

We interview sponsors and business heads, map each role to the AI skills it now needs, and baseline current skills with an assessment on Assessfy. The result is a skills-gap report by role and function, which decides who is trained in what and in which order.

How do you help us find AI use cases?

We run working sessions with each function to list where AI could save time, cost or risk. Every idea is scored on business value, feasibility, data availability and risk, and the shortlist is given an owner. Those use cases then become the projects participants work on during training.

What is on-the-job training in an AI program?

Participants apply each module to their own work between sessions, and teams take a shortlisted use case from idea to a working pilot with faculty mentoring and office hours. The program ends with pilots demonstrated to leadership rather than a classroom test alone.

How do you measure whether the training worked?

By skills, not attendance. Each participant is assessed against a role-based competency framework at the start and again at the end, through Assessfy. Managers receive a skills report per participant, leadership receives a cohort report, and we follow up after 90 days on what shipped.

Which learning platform do you use?

Programs run on Aegis's own platforms: mUniCampus for learning and Assessfy for assessment and certification. Learning paths, session recordings, materials, assessments and certificates sit in one place for participants and for L&D.

Next step

Reserve seats, or get a proposal for your organisation

Tell us who needs to learn what. A program director replies within one business day.

Your point of contact

Ritin Joshi

Head – Admissions and AI Executive Education | Learning Solutions

ritin.j@aegis.edu.in · +91 77770 66810

Meet us in person

Aegis is the AI School Partner at Bharat AI Innovation 2026, 20–21 November, World Trade Center Mumbai. Book a slot with a program director at our stand.

Register →

Tell us what you need

Seats in a workshop, a program for your organisation, or an AI Centre of Excellence.

Thank you.

Your enquiry is with the Aegis AI Executive Education desk. We reply within one business day. Need it faster? Call +91 7777 066 810.