Corporate Training Programme · 2026 Edition · Enterprise AI Education

Building AI-Ready Teams
for the Enterprise

Corporate AI Training for Business Analysts & Software Developers.

Equip your teams to govern, configure, and deliver AI agent systems — not just use AI tools.

Most AI courses teach theory. CoreSmart trains your team to apply AI in real business workflows and production environments.

2,400+ professionals trained · 18 cohorts · ⭐ 4.8 avg
17
Weeks — Dev
Track
10
Weeks — BA
Track
27+
Named
Projects
100%
Portfolio-
Ready Output
Start Here

Get Your Team's AI Readiness Report

Send a 25-question diagnostic to your BA team. Receive a structured gap report within 24 hours. No cost. No commitment. Book a call with Vinay Bamil to walk through the findings.

2
Learning Tracks
27+
Capstone Deliverables
100%
Portfolio-Ready Artefacts
Day 1
Assets Usable on Live Projects
0
Generic Assessments — All Applied
Contents

What's Inside

01 — 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 — subscriptions, copilots, chat interfaces — to AI agent systems that automate multi-step workflows autonomously. Most BA and technology teams were trained on the former and have no framework for specifying, governing, or measuring the latter. This gap compounds with every new deployment.

Most BA teams have zero training in agent specification or governance
02

The Hiring Market Can't Fill the Gap

AI engineers and governance-capable BAs with production agent experience command significant salary premiums and are in short supply. External hires arrive without the domain knowledge your team has spent years building. Building internal capability is faster, cheaper, and produces better outcomes — because your team already understands your business.

Building internal capability delivers faster time-to-deployment vs external hiring
03

Training Courses Aren't Solving It

Generic AI literacy programmes teach employees to prompt tools and describe use cases. They do not teach your BAs to write agent specifications with testable acceptance criteria, configure approval logic, produce governance documentation, or measure ROI with business metrics. The skill gap remains after most programme completions.

AI literacy ≠ AI governance capability — most programmes conflate them
04

The Cost of Inaction

AI transformation projects are being led by external consultants because internal teams lack the skills to own them. Every AI architecture decision, governance framework, and agent specification that could be produced internally is being billed externally. Each project that requires a consulting engagement instead of an internal lead represents a compounding organisational capability deficit.

Internal AI delivery capability reduces consulting dependency by design
02 — 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

For: Software Developers · Technical Leads · AI Engineers

A production-grade engineering programme covering RAG systems, evaluation pipelines, multi-agent architectures, MCP tool servers, A2A protocol, deployment, reliability engineering, and FinOps. Every week builds toward the AgentForge™ capstone — a fully deployed, governed, evaluated multi-agent system.

17
Weeks
17
Named Projects
10–14
Hrs/Week

Track 02 — Business Analyst Programme

Generative AI & Agentic AI for Business Analysts

For: Business Analysts · Project Leads · Digital Transformation Roles

A no-code programme covering GenAI foundations, prompt engineering, data governance, agentic AI specification, no-code agent configuration, governance frameworks, automated reporting, and Demo Day delivery. Every week builds toward the ImpactAI™ capstone. No Python required from scratch.

10
Weeks
10
Named Projects
10–14
Hrs/Week

What makes these programmes different from standard AI training

Every week produces a named, portfolio-quality artefact employees can use in live projects immediately
Both tracks build toward one deployed capstone — not disconnected weekly exercises
BA and developer participants from the same organisation build complementary systems that integrate
Governance, ethics, responsible AI, and HITL design are built in from Week 1 — not added as compliance at the end
AI evaluation methodology is taught alongside system building — not as a separate track
Every named project uses the participant's own domain — knowledge transfers to live work immediately
No generic use cases or hypothetical domains — all capstone work is domain-specific from Week 1
Demo Day format prepares participants to present to stakeholders — not just to instructors
03 — Learning Outcomes

What your team will be able to do

Organisational capabilities — what employees can do for your business after programme completion. Not course topics. Applied capabilities.

BA-01

Map which business tasks suit LLMs, agents, workflows, or human oversight — and justify the recommendation to a non-technical stakeholder panel with rationale and risk notes

BA-02

Write a complete BA specification for an AI agent: scope statement, tool access list, approval logic, failure mode documentation, and testable acceptance criteria

BA-03

Configure a working no-code AI agent in Microsoft Copilot Studio or Make.com with a complete stakeholder-ready walkthrough

BA-04

Build and present a board-level AI business case with baseline measurement, benefit quantification, ROI projection, and a go/no-go recommendation

BA-05

Complete a full governance pack: accountability matrix, bias evaluation rubric, GDPR/CCPA privacy risk assessment, responsible AI checklist, ROI tracking model

BA-06

Answer "how do you know the AI is working well?" with actual business metrics — task success rate, escalation frequency, time-to-resolution vs baseline

BA-07

Produce AI-generated analytics deliverables: an InsightLab dashboard with narrative commentary and an AutoReport pipeline that generates formatted BI reports automatically

BA-08

Deliver an 8-minute live capstone presentation to a stakeholder panel — architecture walkthrough, governance review, evaluation summary, ROI case, real-time Q&A

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
05 — What Your Team Delivers

Organisational assets,
not certificates

These are the artefacts your organisation receives on programme completion — usable on live projects from Day 1 after graduation.

"Each participant builds 10–17 named deliverables in their own domain. The organisation receives those artefacts — process integration blueprints, governance packs, deployed agents, evaluation frameworks — not just a completion certificate."

Developer Track — Per Participant

Deployed multi-agent AI system — fully containerised, observed, and governed. AgentForge™ capstone running in production

Evaluation harness running as CI — RAGAS-based, testing every deployment for groundedness, relevance, and context recall

MCP tool server + A2A agent service — interoperable with any compliant orchestration layer in the enterprise AI stack

Reliability toolkit — hallucination debugging methodology, model upgrade protocols, incident runbook

Cost measurement dashboard — SLM routing implemented, token budget enforced, cost-per-query tracked

Four architecture diagrams and a technical case study usable immediately in internal project documentation

Responsible AI framework — PII detection, bias evaluation rubric, HITL design documentation, GDPR compliance notes

BA Track — Per Participant

AI opportunity map (OppMapper) — three qualified AI opportunities with risk factors, success metrics, evaluation approach

Process integration blueprint (FlowBlueprint) — before/after process maps, user story backlog, KPI framework, risk register, rollout timeline

Working no-code AI agent (AgentDesign™) — configured in Copilot Studio or Make.com with complete BA specification document

Complete governance pack (GovShield™) — accountability matrix, bias rubric, privacy risk assessment, ROI tracking model, responsible AI checklist

Data governance charter — data source inventory, quality standards, retention policy, privacy controls, sign-off matrix

Board-level AI pitch deck (StrategyAI) — market analysis, competitive landscape, roadmap, ROI projection, go/no-go recommendation

Automated BI pipeline (AutoReport) — generates formatted reports with AI narrative commentary automatically when run

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 Vinay — domain alignment before Week 1
  • Bi-weekly progress reports to your L&D lead
  • Dedicated Slack channel for your team
  • Choose BA track, developer track, or both
  • Minimum 5 participants per engagement
Pricing on request. Typically structured as per-seat licence.

Option C

Blended Advisory

Best for: organisations running live AI transformation projects

  • Private cohort plus embedded advisory sessions
  • CoreSmart instructor joins your team's live project reviews weekly
  • Capstone projects are actual internal AI projects
  • Architecture review and governance documentation for live deployments
  • Upskilling and delivery happen simultaneously
  • Handover documentation produced alongside training
Most intensive engagement model. Pricing on request.

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.

07 — What Participants Say

Results participants describe
in their own words

Selected feedback from programme participants. Full references available for qualified corporate enquiries.

"

"The AI course provided practical skills I could immediately apply in my projects. The hands-on approach and real-world examples made complex concepts accessible — by Week 3 I was already using the frameworks in a live engagement."

John A.
Software Developer
"

"This course transformed my understanding of AI in business contexts. I learned how to leverage data-driven insights for strategic decision-making. The governance framework week was the most useful single week of professional training I've had."

Emily C.
Business Analyst
"

"I gained invaluable knowledge on integrating AI into project workflows. The course equipped me with tools to enhance project efficiency and deliver greater value to stakeholders. The capstone is something I actually used on a client project."

Michael T.
Project Manager

Corporate reference calls with past participants are available for qualified enterprise enquiries. Contact us to arrange introductions with previous participants from your industry vertical.

08 — The Team

Built by practitioners,
not academics

CoreSmart.AI is built by people who have shipped AI systems in production at scale — at Google, Siemens, Deloitte, EA, Audible, and Twitch. Every instructor brings industry experience from the environments your team works in.

VB
Vinay Bamil, PhD
Founder & Lead Instructor
VP, AI Strategy & Innovation · PhD in AI for Social Good · Former GenAI Coach at Google · Startup Advisor · Multiversity AI-ML Educator · Speaker
RB
Randeep S. Bhatia
CTO & Technology Lead
CTO & Board Director · Sr. Engineering Director · AI-ML Advisor · Ex-Audible · Ex-Twitch · Ex-EA · Creator and Games-Tech Innovator
SL
Sanjay Lalwani
Data & Cloud Instructor
Data Scientist at Siemens · Ex-Infosys · Azure Certified · Speaker · AI Educator with enterprise data engineering background
AA
Aashrith Arun Belawadi
Strategy & Business Track Lead
Head of Growth & Strategy · MBA University of Bath · Consultant · Ex-Deloitte · Innovation, Sustainability & AI Strategy advisory
SS
Saurabh Sachdev
ML & AI Instructor
Data Scientist · ML Engineer · AI Educator with applied machine learning and model deployment background across enterprise contexts
Practitioner-led from Day 1
Every instructor brings direct industry experience from the contexts your team operates in.

CoreSmart.AI (Agama Solutions, Inc.) is a professional AI education company based in Fremont, California. Our curriculum is reviewed against real enterprise AI deployment requirements — not academic benchmarks. All capstone projects are designed to produce artefacts that are immediately usable in live organisational AI work.

09 — Investment & Next Steps

Start with a 30-minute discovery call

We don't propose programmes without understanding your team's current capability baseline, primary deployment context, and timeline. The discovery call takes 30 minutes. You'll receive a custom proposal within 5 business days.

01

Schedule a discovery call — 30 minutes with Vinay to understand your team's AI capability baseline and training objectives

02

Receive a custom proposal — engagement model recommendation, participant profile fit assessment, and indicative pricing within 5 business days

03

Pilot before you scale — run a cohort of 3–5 participants before committing to a larger engagement. We recommend pilots for first engagements

04

Measure what changed — each participant produces a GovShield™ governance pack with ROI measurement. The programme pays for itself in measurable capability terms

10 — Contact
Office
Agama Solutions, Inc.
39159 Paseo Padre Pkwy, Ste 311
Fremont, CA 94538
Preferred First Contact

Email us with your team size, primary track of interest (BA / Developer / both), and your approximate timeline. We'll respond within one business day to schedule the discovery call.

CORESMART.AI

© 2026 Agama Solutions, Inc. All rights reserved. CoreSmart.AI Corporate Training Programme. All trademark names (AgentForge™, GovShield™, AgentDesign™, BreakRAG™, WorkbenchAI™, ReliabilityKit™, CostGuard™, AgentMesh™, TriageFlow™, GuardianAI™, ImpactAI™) are proprietary to Agama Solutions, Inc.