India's First Full-Lifecycle AI Deployment Programme · 2026

Deployment‑Specific
AI Programme for Enterprises
and Professionals

Structured programmes covering every stage of the AI adoption lifecycle: readiness, governance, integration, validation and monitoring — with each stage connected to measurable business impact. Built for organisations stuck between pilot and production.

Who are you?

✦ Free AI Deployment Maturity Score
I want to work in AI deployment → See Individual Tracks First cohort: June 2026
88%
of AI pilots never reach production
India's first
Full-lifecycle AI deployment programme
Day one
ROI visibility built into every cohort
For Enterprises

The full ramp. Assessment to production.

An 8–12 week managed programme — readiness assessment, deployment training, handholding, and post-go-live monitoring. Delivered in the context of your organisation, your systems, your use cases. Not a course. A guaranteed maturity uplift.

See enterprise programmes
Diagnosis → Strategy → Governance → Deployment → Monitoring → Measured ROI
NASSCOM-benchmarked Readiness Meter included
CXO ROI Dashboard + 0.5-point maturity guarantee
20–40 seat cohorts · contact us for pricing
For Individuals

A credential for the role enterprises need.

Four role-destination tracks for professionals moving into AI deployment. Practitioner-built curriculum, small cohorts, outcome-focused certification. First batch opens 1st June 2026 — register your interest now.

See individual tracks
AI & ML Engineering · Deployment Analyst · Governance & Risk · Integration Engineer
First batch — 1st June 2026
Price on request · EMI available
Register interest — no commitment required
88%
of AI POCs never reach production
IDC / Lenovo Research, 2025
95%
of GenAI pilots fail to drive revenue
MIT NANDA Report, 2025
2.47
India's AI maturity score — out of 4.0
NASSCOM AI Adoption Index, 2024
Enterprise programmes
Enterprise AI Adoption Mastery — driving organisation-wide deployment at scale
Click any card to expand curriculum
DeployReady Exclusive
DeployReady · New
Executive Programme · Flagship DeployReady
Executive Programme in Enterprise AI Deployment
12-week managed cohort · Cross-functional implementation teams
For the team that deploys AI — analysts, engineers, and governance leads working together on a real enterprise AI programme. Assessment to production, in your context.
12 weeks Live cohort 20–40 seats Enterprise context required
Leaves with
A deployed, monitored AI use case. NASSCOM maturity score uplift of 0.5 points guaranteed. Full governance documentation.
What this programme covers
  • AI use case scoring & prioritisation
  • Deployment readiness assessment
  • AI vendor evaluation
  • AI-specific UAT design
  • Hallucination testing · red-teaming
  • Bias audit framework
  • DPDP Act 2023 · RBI · IRDAI
  • Phased rollout · go/no-go criteria
  • CI/CD for AI · drift detection
  • 90-day post-launch operations
  • Enterprise capstone deployment
June 2026 · Cohort 1
Contact us for pricing
Executive Certificate · New First in India
Executive Certificate in AI Deployment Leadership
4-week programme · Senior leaders who commission AI deployments
For VPs, heads of function, and programme sponsors who sign off on AI deployments — without attending a 12-month ML engineering course.
2 weeks Live sessions Leadership role required
Leaves with
Ability to evaluate AI business cases, oversee governance obligations, and manage vendors — without writing code or attending a 12-month ML programme.
What this programme covers
  • Evaluating an AI business case
  • Questions every sponsor must ask
  • Reading a deployment readiness brief
  • Governance obligations a sponsor owns
  • DPDP / RBI obligations at leadership level
  • AI vendor relationship management
  • Why AI deployments fail post-launch
  • Workforce change management for AI
June 2026 · Cohort 1
Contact us for pricing
AI Readiness Meter

Know exactly where you stand before you spend a rupee.

Free 10–15 minute assessment. Instant PDF scorecard across 9 pillars benchmarked against NASSCOM's AI Adoption Index. Organisations scoring below 2.8 receive a free 45-minute consultation.

Enterprise clients get a facilitated 90-minute diagnostic — stakeholder interviews, peer benchmarks, and a prioritised 90-day action roadmap.

Sample Score — BFSI Enterprise
Leadership & Strategy
2.5
Data Infrastructure
1.8
Talent & Skills
1.5
Technology & Cloud
2.9
Use Case Pipeline
2.2
Governance & Risk
1.3
Deployment & MLOps
2.3
Maintenance & Monitoring
3.2
Exec Sponsorship
1.1
Your composite score
2.09 / 4.0 · Enthusiast stage
NASSCOM India average
2.47 / 4.0
Curriculum
Six modules. Twelve weeks. Full lifecycle.
Equal depth on deterministic and GenAI models.
M1
AI Foundations & Types
Deterministic vs non-deterministic · India context (IndiaAI, DPDP, MeitY) · AI literacy · prompt engineering
All audiences
Week 1
1 wk ~8 hrs
→
M2
Use Case Readiness & Strategy
Readiness Meter · NASSCOM 9-pillar scorecard · use case prioritisation (ROI, feasibility, risk) · data readiness
Integrated
Weeks 2–3
2 wks ~16 hrs
→
M3
Ethics, Governance & Responsible AI
Bias detection · fairness audits · hallucination mitigation · DPDP compliance · explainability · MeitY AI Guidelines
All + Risk deep-dive
Integrated
Integrated across M2–M4
→
M4
Validation & Deployment
Testing frameworks (deterministic + LLM metrics) · MLOps / CI-CD · legacy integration · hands-on: ML + LLM + RAG deploy
Technical labs + oversight
Weeks 4–6
3 wks ~24 hrs
→
M5
Maintenance, Monitoring & Scaling
Drift detection · retraining · cost optimisation · governance loops · scaling playbook (POC → enterprise) · change management
All audiences
Weeks 7–8
2 wks ~16 hrs
→
M6
Capstone & Roadmap
Org-specific project · readiness → build → validate → deploy → maintain a hybrid use case · maturity scorecard · 3-month mentoring begins
Cross-functional
Weeks 9–12
4 wks ~32 hrs
→

6 modules · 12 weeks · 60–80 hours · post-programme 3-month mentoring included

Request full syllabus
First cohort opens 1st June 2026 — waitlist now open
Join the waitlist below. No commitment. Waitlist members get confirmed pricing and first access before public launch.
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on waitlist
Individual Tracks
Four courses. Four career destinations.
For professionals moving into AI deployment roles. Click any card to expand the full curriculum.
DeployReady course
DeployReady · First in India
DeployReady · First in India
Foundation · Condensed DeployReady
Professional Certificate in AI & Machine Learning Engineering
3-month online assisted · Compressed from 6–18 month market standard
The same technical foundation as IITM Pravartak or IBM Coursera — compressed to 3 months with assisted learning. The ideal entry point before Track C.
3 months Online assisted Python basics helpful
Comes from
Engineers, analysts, and career-changers with basic Python familiarity who want a structured AI/ML foundation — or a fast entry point before enrolling in Track C.
Leaves with
Working knowledge of ML fundamentals, LLM APIs, and RAG basics — sufficient foundation for Track C or standalone career entry.
What this course covers
  • Python for AI · data handling
  • Statistics & probability essentials
  • ML algorithms (supervised · unsupervised)
  • Neural networks · deep learning intro
  • NLP fundamentals
  • LLM APIs · prompt engineering
  • LangChain · RAG intro
  • Model evaluation basics
  • Capstone project
June 2026
Price on request · EMI available
Track A · Deployment Analyst First in India
Professional Certificate in Enterprise AI Deployment and Implementation
8 weeks · No coding required · Analysts · PMs · Consultants
Trains the person who manages an enterprise AI deployment end-to-end — from use case scoring through monitored production. No code, no model building.
8 weeks 40–50 hrs No tech prereqs
Comes from
Business analysts, project managers, consultants — people already operating at the enterprise layer.
Leaves with
Use case scoring, deployment business case, POC-to-production management. The generalist deployment role every enterprise needs.
What this course covers
  • AI use case scoring framework
  • Deployment readiness assessment
  • AI vendor evaluation
  • AI-specific UAT design
  • Business case for CFO sign-off
  • Phased rollout planning
  • Go / no-go decision criteria
  • RBI · IRDAI · DPDP Act 2023
  • 90-day post-launch operations
  • Capstone: deployment readiness brief
June 2026 · Cohort 1
Price on request · EMI available
Track B · Governance First in India
Professional Certificate in Enterprise AI Risk, Governance and Regulatory Compliance
6 weeks · No ML background · Risk · Compliance · Audit
Trains the practitioner who tests AI systems, produces governance evidence, and faces regulators — not just someone who understands policy frameworks.
6 weeks 35–45 hrs Governance background
Comes from
Risk officers, compliance, legal, internal audit — people with governance experience entering the AI risk domain.
Leaves with
AI risk frameworks, DPDP Act compliance, LLM testing protocols, hallucination audits. The role regulators are beginning to require.
What this course covers
  • Reading AI model performance reports
  • Hallucination detection methodology
  • Red-teaming · OWASP LLM Top 10
  • Bias audit (credit · insurance · hiring)
  • DPDP Act 2023 — testable obligations
  • RBI Model Risk Management
  • IRDAI algorithmic decision rules
  • Regulator evidence pack design
  • Agentic AI testing · human override
  • Capstone: governance evidence pack
June 2026 · Cohort 1
Price on request · EMI available
Track C · Integration Engineer First in India
Professional Certificate in Enterprise AI Integration and MLOps
10 weeks · Python + REST required · Engineers · DevOps
For engineers who can code but need to connect AI to SAP, Salesforce, and Workday — and keep it running reliably in production.
10 weeks 60–75 hrs Python / cloud required
Comes from
Software engineers, DevOps, cloud architects — technical professionals extending their skills into AI deployment and operations.
Leaves with
LLM-to-enterprise integration, MLOps pipelines, CI/CD for AI, monitoring and observability. The most in-demand technical role in production AI.
What this course covers
  • LLM API integration fundamentals
  • SAP BAPI / IDOC integration
  • Salesforce Apex + AI
  • Workday Studio integration
  • ServiceNow AI integration
  • RAG pipelines over enterprise data
  • LangChain · LangGraph agents
  • CI/CD for AI · quality gates
  • Canary deployment · rollback
  • Drift detection · monitoring
  • DLP · PII scrubbing · DPDP Act
  • Capstone: enterprise integration project
June 2026 · Cohort 1
Price on request · EMI available

First cohort — 1st June 2026 · Small cohorts of 12–18 · Pricing confirmed to waitlist members · EMI available

Why DeployReady

The gap nobody else is filling.

India's enterprise AI training market runs from free awareness courses to expensive consulting engagements. Neither builds the deployment capability that gets pilots into production — and keeps them there.

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Deployment skills, not awareness certificates

Generic AI courses produce employees who understand what AI is. DeployReady produces professionals who can take a use case from readiness assessment through governance, integration, testing, and into monitored production — with accountability at every stage.

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Built for India's regulatory reality

Benchmarked against the NASSCOM AI Adoption Index with India-specific case studies across BFSI, manufacturing, and retail. The only programme with a dedicated DPDP Act compliance module — because global frameworks don't cover what Indian enterprises actually face.

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Role-specific, not role-agnostic

Most AI training ignores the professional experience your team already has. DeployReady is structured around the specific roles enterprises need filled — AI & ML Engineering, Deployment Analyst, Governance & Risk Lead, Integration Engineer — so every learner leaves with a job title, not just a credential.

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Practitioner-built, not academically designed

Every module is built around what actually goes wrong in enterprise AI deployment — not what's theoretically important. The curriculum reflects 65+ years of combined experience across model risk, MLOps, enterprise architecture, and large-scale AI transformation in India and the US.

Advisory team
A
Ashwani Agarwal
Enterprise Technology & AI Platforms · Co-founder, GTMVantage · 22+ Years

Enterprise technology leader with 22+ years building large-scale platforms across cloud, AI, and enterprise systems. Co-founder and CTO of GTMVantage — an AI-powered go-to-market platform. Deep expertise in AIOps, digital transformation, and AI deployment at scale.

Cloud & AI AIOps Enterprise Systems
P
Pavan Verma
AI Strategy · xMcKinsey · xAccenture · TOGAF®

25+ years driving enterprise-scale AI adoption across BFSI, retail, telecom, and hospitality. Principal Architect at McKinsey — built GenAI platforms, MLOps pipelines, and multi-agent systems at scale. Deep expertise in agentic AI and enterprise architecture.

Agentic AI Enterprise Architecture MLOps
D
Dushyant Singh Sengar
AI & Model Risk · Founder, RegVizion LLC · 20+ Years Financial Services

AI governance and model risk specialist with 20+ years in financial services. Founder of RegVizion LLC — specialising in AI governance and model risk management for regulated institutions. Deep expertise in DPDP Act compliance, GenAI validation, and responsible AI frameworks.

Model Risk AI Governance DPDP BFSI
Ready to close the deployment gap?

Talk to one of our experts — enterprise programme, individual tracks, or just a conversation about where your AI initiative is stuck. No obligation.

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We'll confirm your spot and pricing before June 2026. We'll reach out within 1–2 business days.

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