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.
Dev Weeks
Weeks — BA Track
Named Projects
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.
The Business Problem
Our Solution
Learning Outcomes
Programme Structure
What Your Team Delivers
Engagement Options
The Team
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.
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.
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.
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.
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.
Applied GenAI & Agentic AI Engineering
Build production-grade AI systems with RAG, MCP, AI Agents, evaluation pipelines, deployment and reliability engineering.
Production-ready AI portfolio.
Multi-agent orchestration & MCP.
Evaluation, Reliability & FinOps.
Deploy AI systems to production.
Generative AI & Agentic AI for Business Analysts
Learn AI governance, prompt engineering, agent configuration, business process automation and AI delivery frameworks.
Create AI governance documentation.
Configure no-code AI agents.
Business process automation.
Industry-ready delivery artefacts.
Why CoreSmart AI Is Different
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.
Opportunity Mapping
Map business tasks into AI opportunities using LLMs, agents, workflows and human oversight.
Business DiscoveryAI Agent Specification
Create complete AI agent specifications with success criteria, workflows and governance.
GovernanceAI Dashboard
Build executive dashboards with KPIs, AI insights and automated reporting.
AnalyticsBoard Presentation
Present your AI strategy and implementation roadmap to stakeholders.
CapstoneBuild RAG System
Develop a production-ready Retrieval Augmented Generation pipeline.
RAGMulti-Agent AI
Design AI agents with memory, tools and orchestration using enterprise workflows.
Agent EngineeringDeployment
Deploy AI systems with Docker, monitoring, CI/CD and production pipelines.
ProductionFinal Demo Day
Deploy and present a complete AI solution to mentors and industry experts.
Capstone04 — 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.
1–8
Phase 1 — Foundations, RAG & Evaluation
ReleaseBot • IntentIQ • TicketStream • KnowledgeVault • CitationRAG • RAGOptimizer • BreakRAG™ • SpecialistTuner
9–13
Phase 2 — Agentic AI Engineering
OpsAssist • TriageFlow™ • AgentMesh™ • GuardianAI™ • WorkbenchAI™
14–16
Phase 3 — Production, Reliability & FinOps
DeployCore • ReliabilityKit™ • CostGuard™
17
Phase 4 — Demo Day
AgentForge™ Final Capstone • PortfolioAgent
1–4
Phase 1 — GenAI Foundations
OppMapper • AgentRadar • FlowBlueprint • DataGov Charter
5–6
Phase 2 — Applied Analytics & Strategy
InsightLab • StrategyAI
7–8
Phase 3 — Agentic AI for BAs
AgentDesign™ • GovShield™
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.
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
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.
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
Private Cohort
Best for: 15–50 participants, domain-specific projects
- Programme delivered exclusively for your organisation
- Capstone projects built on your use cases
- Kickoff workshop with stakeholders
- Flexible delivery schedule
- Weekly programme review meetings
- Leadership Demo Day
- Optional second learning track
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
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.
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
CONTACT US
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