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Building AI Teams That Deliver, Not Just Adopt.

Corporate AI Training for Business Analysts & Software Developers-India & Australia.

Your teams are using AI tools. Projects are still stalling in requirements, failing governance review, and breaking in production.

CoreSmart trains Business Analysts to specify and govern AI systems and Developers to validate and integrate what those systems produce. The result: AI initiatives that deliver impact, not just demos.

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Dev Weeks
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Weeks — BA Track
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Named Projects
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Portfolio- Ready Output

Every week, topic list, and full project brief lives in the syllabus — built for sharing with a manager or reviewing in detail.

0 1
The Business Problem
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Our Solution
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Learning Outcomes
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Programme Structure
0 5
What Your Team Delivers
0 6
Engagement Options
0 7
The Team
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Contact
THE BUSINESS PROBLEM

Your team can use AI. Can they govern it?

Enterprise AI deployments have moved beyond chatbots and prompting tools. Organisations are now deploying AI agent systems that make decisions, take actions, and require oversight. Most teams were not trained for this shift — and the gap is widening.

01

The Capability Gap Is Widening

Enterprise AI is shifting from AI tools to subscriptions, copilots, chat interfaces, and autonomous AI agents that execute tasks with minimal supervision. Most Business Analysts and technology teams were trained in older delivery models and lack the frameworks for specifying, governing, and measuring AI systems.

02

The Hiring Market Can't Fill the Gap

AI engineers and governance-capable Business Analysts with production experience command premium salaries and remain in short supply. External hiring alone cannot scale internal AI delivery capability.

03

Training Courses Aren't Solving It

Generic AI training programmes teach concepts but rarely develop the skills needed to specify AI agents, create governance packs, validate AI outputs, or produce the practical artefacts required inside enterprises.

04

The Cost of Inaction

AI transformation projects are delayed because organizations lack people who can translate business requirements into governed AI systems. Every postponed initiative increases consulting dependency and widens the internal capability gap.

Our Solution

Two tracks. One organisation. Complementary systems.

CoreSmart.AI delivers two structured programmes designed to work in parallel. A BA and a developer from the same company build connected systems by the end of their respective tracks.

Track 01 — Developer Programme

Applied GenAI & Agentic AI Engineering

Build production-grade AI systems with RAG, MCP, AI Agents, evaluation pipelines, deployment and reliability engineering.

17 Weeks
17 Projects
10–14 Hours / Week

Production-ready AI portfolio.

Multi-agent orchestration & MCP.

Evaluation, Reliability & FinOps.

Deploy AI systems to production.

Track 02 — Business Analyst Programme

Generative AI & Agentic AI for Business Analysts

Learn AI governance, prompt engineering, agent configuration, business process automation and AI delivery frameworks.

10 Weeks
10 Projects
10–14 Hours / Week

Create AI governance documentation.

Configure no-code AI agents.

Business process automation.

Industry-ready delivery artefacts.

Why CoreSmart AI Is Different

Every week builds portfolio-ready AI projects.
AI governance and delivery from Week 1.
Designed by technology hiring experts.
Not another theory-first certification programme.
Real enterprise use cases and deployment.
Industry mentors with production AI experience.
03 — LEARNING OUTCOMES

What Your Team Will Be Able To Do

Switch between Business Analyst and Developer tracks to explore the practical deliverables you'll build during the programme.

WK 01

Opportunity Mapping

Map business tasks into AI opportunities using LLMs, agents, workflows and human oversight.

Business Discovery
WK 03

AI Agent Specification

Create complete AI agent specifications with success criteria, workflows and governance.

Governance
WK 06

AI Dashboard

Build executive dashboards with KPIs, AI insights and automated reporting.

Analytics
WK 10

Board Presentation

Present your AI strategy and implementation roadmap to stakeholders.

Capstone
WK 01

Build RAG System

Develop a production-ready Retrieval Augmented Generation pipeline.

RAG
WK 05

Multi-Agent AI

Design AI agents with memory, tools and orchestration using enterprise workflows.

Agent Engineering
WK 09

Deployment

Deploy AI systems with Docker, monitoring, CI/CD and production pipelines.

Production
WK 17

Final Demo Day

Deploy and present a complete AI solution to mentors and industry experts.

Capstone
04 — Programme Structure

Four phases. One capstone arc.

Named artefacts every week.

Every week of both programmes produces a named project — a deliverable with a trademark name that participants own and can use immediately. The capstone is not a final exam. It is the integration of every named project into a deployed system.

Developer Track — AgentForge™ Capstone
Wks
1–8

Phase 1 — Foundations, RAG & Evaluation

ReleaseBot • IntentIQ • TicketStream • KnowledgeVault • CitationRAG • RAGOptimizer • BreakRAG™ • SpecialistTuner

Wks
9–13

Phase 2 — Agentic AI Engineering

OpsAssist • TriageFlow™ • AgentMesh™ • GuardianAI™ • WorkbenchAI™

Wks
14–16

Phase 3 — Production, Reliability & FinOps

DeployCore • ReliabilityKit™ • CostGuard™

Wk
17

Phase 4 — Demo Day

AgentForge™ Final Capstone • PortfolioAgent

BA Track — ImpactAI™ Capstone
Wks
1–4

Phase 1 — GenAI Foundations

OppMapper • AgentRadar • FlowBlueprint • DataGov Charter

Wks
5–6

Phase 2 — Applied Analytics & Strategy

InsightLab • StrategyAI

Wks
7–8

Phase 3 — Agentic AI for BAs

AgentDesign™ • GovShield™

Wks
9–10

Phase 4 — Technical Skills & Demo Day

AutoReport • ImpactAI™ Final Capstone • Hiring Pack

Portfolio Deliverables

What Every Learner Builds

Every participant graduates with real AI deliverables—not theory, slides or assignments.

Developer Track

Per Participant Deliverables

AgentForge™

Production-ready Multi-Agent AI System

Evaluation Harness

RAGAS Evaluation & Testing Suite

MCP Tool Server

Enterprise AI Orchestration Layer

ReliabilityKit™

Hallucination & Reliability Framework

CostGuard™

AI Cost & Token Monitoring Dashboard

Architecture Pack

Technical Documentation & Case Studies

Responsible AI

Compliance, PII & Governance Framework

Production Deployment

Docker, Monitoring & CI/CD Pipeline

BA Track

Per Participant Deliverables

OppMapper™

AI Opportunity Discovery Map

FlowBlueprint™

Business Process Integration Blueprint

AgentDesign™

No-Code AI Agent Specification

GovShield™

Complete AI Governance Pack

Data Governance

Enterprise Data Governance Charter

StrategyAI™

Board-Level AI Business Presentation

AutoReport™

Automated BI Reporting Pipeline

ImpactAI™

Complete Business AI Portfolio

06 — Engagement Options

Three ways to deploy the programme

We work with organisations of different sizes, timelines, and AI maturity levels. Each engagement model is designed to fit a different organisational context.

OPTION A

Cohort Licence

Best for: teams of 5–15, fixed timeline, L&D-led

  • Reserved seats in next scheduled public cohort
  • Custom onboarding session with domain alignment
  • Bi-weekly progress reports
  • Dedicated Slack channel
  • Choose BA Track, Developer Track or both
  • Minimum 5 participants
OPTION C

Blended Advisory

Best for: organisations running live AI transformation

  • Private cohort + embedded advisory
  • Instructor joins live project reviews
  • Real enterprise AI capstone
  • Architecture & governance reviews
  • Upskilling and delivery together
  • Documentation handover included
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Not sure which option fits? We recommend starting with a 30-minute discovery call to understand your team's current AI capability baseline, primary deployment context, and timeline. We'll propose the right engagement model and can pilot with 3–5 participants before scaling.

Every week, topic list, and full project brief lives in the syllabus — built for sharing with a manager or reviewing in detail.

Who Teaches It

Practitioners, not professors.

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Vinay Bamil

PhD Lead Instructor · VP AI Strategy · Ex-GenAI Coach @Google
(4.5)
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Randeep S. Bhatia

CTO & Board Director · Ex-Audible · Ex-Twitch
(4.5)
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Sanjay Lalwani

Data Scientist, Siemens · Ex-Infosys · Azure Certified
(4.5)
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Aashrith Arun

Head of Growth & Strategy · MBA Bath · Ex-Deloitte
(4.5)
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Saurabh Sachdev

Data Scientist · ML Engineer · Applied AI
(4.5)
GET IN TOUCH

Trusted By the Genious

People with CORESMART

+1 (650) 499-6634

Call us Anytime

Email us Anytime

info@coresmart.ai

US office:

39159 Paseo Padre Pkwy, Ste 311 Fremont, CA 94538

India office:

B-4/5, Suite 03, Sector 63, Noida Uttar Pradesh – 201301

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