Live Cohort · 10 Weeks · 2026 Edition · No Coding Required

Generative AI &
Agentic AI
for Business Analysts

The only BA programme that goes beyond prompting tools — teaching you to understand, specify, deploy, and govern AI agents in real enterprise workflows. No coding required.

Reserve Your Seat → Explore Curriculum
10
Live Weeks
12
Named Projects
100+
Topics Covered
2
Agentic AI Modules
0
Code Required
∞
Career Outcomes
The BA Role Is Evolving Fast

AI for BAs has moved
far beyond prompting ChatGPT.

📋
What Most BA Courses Teach
Drafting documents faster, summarising meetings, building dashboards. Useful, but increasingly table stakes. Any analyst with a good prompt can do the same — and junior roles are being automated out of exactly those tasks.
🤖
What the Market Actually Needs
BAs who can specify what an AI agent does, write acceptance criteria for it, evaluate its outputs, govern it responsibly, and communicate its implications to every stakeholder from engineer to board. That is a rarer and far more valuable skill.
⚠️
The Gap Hiring Managers Are Noticing
Candidates who have used AI tools versus candidates who have configured, governed, and measured AI agent systems. That distinction is now visible in every senior BA job description posted in 2025–2026.
🎯
What This Programme Gives You
Ten weeks of live project-based learning — from GenAI foundations through Agentic AI governance — with 12 named projects building to one flagship capstone. Every deliverable is something you'd produce on a real AI project, not a course exercise.
What You'll Be Able to Do

Six skills that make you
the AI-fluent BA every team wants.

01
📝
Write requirements for AI systems
Acceptance criteria, data requirements, and success metrics for GenAI and agentic systems that developers, QA, and product teams can actually use.
02
🤖
Understand and specify AI agents
What agents can and can't do, when to recommend one, how to define scope and guardrails, and how to communicate this to stakeholders who have never seen an agent before.
03
📊
Evaluate AI outputs for business decisions
Groundedness, accuracy, bias, hallucination — what to test, what thresholds to set, and how to present findings to non-technical leadership in terms they act on.
04
🔄
Deploy no-code agent workflows
Configure and demonstrate working AI agents using Copilot Studio, Make.com, and Zapier AI — without writing a line of code, but understanding every design decision behind them.
05
🛡
Govern AI agents in enterprise settings
Accountability frameworks, HITL design, data privacy, AI risk registers, bias assessment, and responsible AI policy documentation — from the BA's seat at the table.
06
💬
Bridge technical and business stakeholders
Translate AI capabilities into business language for leadership. Translate business requirements into technical specs for engineers. Be the person the team cannot do an AI project without.
Free Prep Track — Modular, Self-Paced, Included

Start from where
you actually are.

Two independent modules. Take only what you need. Self-assess and skip what you already know.

Prep Module A
Data Fundamentals for Business Analysts
  • Excel advanced: pivot tables, lookups, data cleaning
  • SQL basics: SELECT, JOIN, GROUP BY for BA data tasks
  • Basic statistics: averages, distributions, correlation concepts
  • Data visualisation principles: chart selection, storytelling
  • Working with APIs and JSON — reading, not writing code
Project
DataLens Kit
Excel + SQL data pack: cleaned dataset, three analysis views with pivot tables, summary chart, and a one-page data narrative for a stakeholder audience.
Prep Module B
AI Tools Orientation & Prompt Discipline
  • Orientation: ChatGPT, Claude, Gemini, Perplexity — practical differences
  • Prompt discipline: clear, specific, context-rich prompts
  • Recognising AI output quality: hallucination, confidence, citation gaps
  • No-code AI tool landscape: Copilot Studio, Make.com, Zapier AI
  • Setting up your workspace: accounts, tool access, API basics
Project
PromptReady Kit
Personal prompt library for five core BA tasks — requirements drafting, test cases, meeting summary, stakeholder update, and process description — with first vs. refined versions for each.
Full 10-Week Curriculum

Every week builds
on the last.

From GenAI foundations to Agentic AI governance. Every module ends with a named project. Week 7 opens with conceptual orientation before hands-on configuration — so no one is configuring tools they don't yet understand.

Phase 1 — GenAI Foundations for Business Analysts (Weeks 1–4)
Week 01
Introduction to Generative AI for Business Analysts
AI vs ML vs DLGenAI Model TypesReal-World BA ApplicationsCloud & AI InfrastructureAPIs for BAs (no-code)Prompt Engineering IntroGenAI Opportunity Mapping
▸
OppMapper — AI Opportunity Intelligence Report. Identify three GenAI opportunities in your chosen domain: use case, current process, AI-enhanced version, risk factors, success metrics, and evaluation approach. Presented as an executive-ready briefing.
Foundation
Week 02
Understanding LLMs & the Rise of Agentic AI
LLM Architecture (non-technical)Context Windows & MemoryLLM Limitations & HallucinationsWhat Is an AI Agent?Workflows vs AgentsMulti-Agent Systems (conceptual)AI Capability Mapping
▸
AgentRadar — AI Capability & Agent Landscape Map. For your domain: map which tasks suit LLMs, agents, workflow automation, or humans — with rationale, risk notes, and a recommended starting point. Presented to a mock stakeholder panel.
Foundation
Week 03
AI Integration in Business Processes
Process Mapping: Before & After AIUser Stories in Agile AI ProjectsKPIs for AI SystemsAI Project Management FundamentalsStakeholder Communication for AIChange ManagementBA's Role in AI QA
▸
FlowBlueprint — AI Process Integration Blueprint. End-to-end plan for deploying AI in one real process: before/after maps (Miro/Lucidchart), user story backlog, KPI definitions, risk register, stakeholder communication plan, and phased rollout timeline.
Core
Week 04
Data Management & AI Data Governance for BAs
Data Quality Standards for AISQL for BA Data TasksData Annotation & Labelling ConceptsGDPR & CCPA for AI ProjectsData Governance FrameworksDefining Data RequirementsData Pipelines (conceptual)
▸
DataGov Charter — AI Data Governance Framework. Full governance document: data sources and ownership, quality standards, retention policy, privacy controls, consent management, and a sign-off matrix — formatted as a reference artefact for ongoing project use.
Governance
Phase 2 — Applied AI Analytics & Strategic Intelligence (Weeks 5–6)
Week 05
AI Prompting, Context Engineering & Business Analytics
Week 5 has two deliverables — the prompt library and the BI dashboard. These are taught across three sessions: Day 1 covers prompt engineering and context engineering, Day 2 covers Tableau/Power BI, Day 3 combines them in InsightLab. The combination is the point — neither deliverable is rushed.
Advanced Prompt Engineering for BAsContext Engineering ConceptsPrompts for Agentic WorkflowsIterative Prompt RefinementTableau: Interactive DashboardsPower BI BasicsData Storytelling for StakeholdersAI-Generated Narrative Commentary
▸
InsightLab — AI-Powered BA Analytics Suite. Two combined deliverables: a refined prompt library for five core BA workflows with before/after quality comparisons; plus a Tableau or Power BI dashboard with AI-generated narrative commentary. Day 1 prompt work feeds directly into Day 3 dashboard narrative layer.
Analytics
Week 06
Strategic AI Applications in Business Analysis
AI in Strategic Business PlanningCompetitor Analysis with GenAIBusiness Model Generation Using AIAI-Driven Requirements AnalysisChatbot Flow Design & BA RoleConversational UX PatternsAI-Augmented User Stories
▸
StrategyAI — AI Product Strategy Pitch Deck. Board-level pitch using AI-assisted analysis: market opportunity, competitive landscape, user personas, phased roadmap, ROI projection, risk assessment, and a go/no-go recommendation. Delivered as a 10-slide exec deck and presented live.
Strategy
Phase 3 — Agentic AI for Business Analysts (Weeks 7–8) — Signature Modules
Week 07
Agentic AI for BAs — Understanding, Applying & Specifying Agents
Week 7 opens with a 60-minute conceptual orientation on Day 1 — how agents actually work, the tool-use loop, what MCP and A2A mean for BAs — before any hands-on configuration. Students configure tools they understand, not tools they've just seen demoed.
How AI Agents Work (Day 1 Orientation — Non-Technical)Tool Use & Multi-Step ReasoningWhat MCP & A2A Mean for BAsWhen to Recommend an Agent vs WorkflowMicrosoft Copilot Studio (Hands-On)Make.com & Zapier AIWriting Agent RequirementsAcceptance Criteria for Agent SystemsHITL Touchpoints in Agent Design
▸
AgentDesign™ — No-Code Workflow Agent + BA Specification. Configure a working AI agent for a real business process in Copilot Studio or Make.com — then document it as a full BA specification: scope, tool access, approval logic, failure modes, and acceptance criteria. Working demo + professional spec together is what separates this from a no-code tutorial.
Agentic AI
Week 08
Governing AI Agents — Oversight, Ethics, Privacy & ROI
Human-in-the-Loop Design (BA Lens)AI Accountability FrameworksEvaluating Agent Output Quality for Business DecisionsBias & Fairness AssessmentResponsible AI Policy WritingData Privacy in Agent Systems (GDPR/CCPA)ROI Measurement for AI AgentsCommunicating Agent Decisions to Stakeholders
▸
GovShield™ — AI Agent Governance Framework. Complete governance pack: accountability matrix, HITL touchpoints with escalation paths, bias evaluation rubric, GDPR/CCPA privacy risk assessment, responsible-AI checklist, ROI tracking model with baseline vs. AI-assisted metrics, and an exec-ready summary deck.
Governance
Phase 4 — Technical Skills & Capstone Delivery (Weeks 9–10)
Week 09
Data Skills & Automated Reporting for the Modern BA
Python for BA Data Tasks (guided, not from-scratch)APIs & SQL for Data AcquisitionTrend Detection & Anomaly FlaggingTime Series Concepts for ForecastingBusiness Reporting AutomationVisualising Results with Python ToolsSharing Reports with Non-Technical Stakeholders
▸
AutoReport — Automated Business Intelligence Pipeline. A guided Python script (run-and-understand, not built-from-scratch) that pulls data from a public API, runs trend analysis and anomaly detection, and generates a formatted business report with charts and AI-generated narrative summary — automatically.
Data Skills
Week 10
Capstone Hardening, Portfolio & Career Pathways
Capstone Polish & Gap ReviewStakeholder Presentation RehearsalEmerging Trends in Agentic AI for BAsPortfolio PositioningLinkedIn & Resume FramingInterview Question PreparationCareer Pathways in AI + BA
▸
ImpactAI™ — Final Demo Day & Hiring Pack. Live stakeholder presentation of your capstone with architecture walkthrough, governance review, evaluation summary, and ROI case. Complete hiring pack: case study PDF, demo video, exec summary deck, and resume bullet pack.
Demo Day
All 12 Named Projects — Prep Track + 10 Weekly Deliverables
Prep A
DataLens Kit
Excel + SQL Data Pack
Prep B
PromptReady Kit
Personal Prompt Library
Week 01
OppMapper
AI Opportunity Report
Week 02
AgentRadar
AI Capability Map
Week 03
FlowBlueprint
AI Integration Blueprint
Week 04
DataGov Charter
Data Governance Framework
Week 05
InsightLab
AI Analytics Suite
Week 06
StrategyAI
AI Product Strategy Deck
Week 07 ★
AgentDesign™
No-Code Agent + BA Spec
Week 08 ★
GovShield™
Agent Governance Framework
Week 09
AutoReport
Automated BI Pipeline
Week 10
ImpactAI™
Demo Day + Hiring Pack
Signature Projects

Six deliverables that prove
you've done the work.

Not exercises. Not screenshots of a chatbot. Real artefacts a hiring manager, CTO, or client can review, evaluate, and trust.

★ Differentiator
Week 7 — Agentic AI
AgentDesign™
No-Code Workflow Agent + Full BA Specification
You configure a working AI agent for a real business process in Copilot Studio or Make.com — then document it as a professional BA specification: scope, tool access, approval logic, failure modes, and acceptance criteria. Week 7 opens with 60 minutes of conceptual orientation before any configuration, so you understand what you're building. Most "AI for BA" courses show you how to use tools. This is the only programme where you also produce the specification an engineering team would build from.
Copilot StudioMake.comPower AutomateRequirements DocAcceptance Criteria
✦ Resume: "Designed and configured a no-code AI agent in Copilot Studio, documented with a production-ready BA specification including approval logic and acceptance criteria"
★ Differentiator
Week 8 — Governance
GovShield™
AI Agent Governance Framework
A complete governance pack: accountability matrix, HITL touchpoints with escalation paths, bias evaluation rubric, GDPR/CCPA-aligned privacy risk assessment, responsible-AI checklist, and an ROI tracking model with baseline vs. AI-assisted metrics. Plus an exec summary deck stakeholders can act on. No other BA programme produces a governance artefact at this level of completeness. This is the single most interview-relevant deliverable in the programme.
Governance DocsHITL DesignBias RubricROI ModelGDPR/CCPA
✦ Resume: "Authored production AI agent governance framework including HITL design, bias evaluation rubric, privacy risk assessment, and ROI tracking model"
Week 3 — AI Integration
FlowBlueprint
AI Process Integration Blueprint
End-to-end integration plan for deploying AI in one business process. Before/after process maps, user story backlog with acceptance criteria, KPI definitions, risk register, stakeholder communication plan, and a phased rollout timeline. The kind of artefact a CTO hands to an engineering team on Day 1 of an AI project — not a slide deck of aspirations.
Miro / LucidchartUser StoriesRisk RegisterKPI FrameworkRoadmap
✦ Resume: "Authored AI integration blueprint covering process redesign, user story backlog, KPI framework, and phased rollout plan"
Week 5 — Analytics
InsightLab
AI-Powered BA Analytics Suite
A Tableau or Power BI dashboard with AI-generated narrative commentary that updates with the data — combined with a refined prompt library for five core BA workflows. The AI-generated narrative layer is the part most BI courses don't teach: the ability to auto-generate stakeholder-ready text from a live dashboard. Week 5's three-session structure ensures both deliverables get proper time.
Tableau / Power BIOpenAI APIStreamlitPrompt Library
✦ Resume: "Built AI-augmented BI dashboard with auto-generated narrative commentary and validated prompt library for five core BA workflows"
Week 2 — Foundations
AgentRadar
AI Capability & Agent Landscape Map
A structured capability map for a real business domain: which tasks suit LLMs, which suit AI agents, which suit workflow automation, and which require humans — with rationale, risk notes, and a recommended AI investment starting point. Built and presented live in Week 2. Students return to this framework repeatedly throughout the course when making AI recommendations.
Capability MappingStakeholder DeckDecision FrameworkRisk Notes
✦ Resume: "Produced domain-specific AI capability map distinguishing LLM, agent, automation, and human-required tasks — presented to stakeholder panel"
Week 6 — Strategy
StrategyAI
AI Product Strategy Pitch Deck
A board-level pitch for an AI-powered feature or product: AI-assisted market analysis, competitive landscape, user personas, phased roadmap, ROI projection, risk assessment, and a go/no-go recommendation. Every analysis step uses GenAI tools — demonstrating both strategic thinking and AI-assisted productivity in the same artefact. Delivered live to a panel.
ChatGPT / ClaudePerplexityPowerPointROI ModelLive Pitch
✦ Resume: "Produced AI-assisted product strategy pitch with market analysis, ROI projection, and phased roadmap — presented to live stakeholder panel"
The Flagship Capstone

One system. Built
across 10 weeks.

Every module project is also a capstone milestone — you graduate with one cohesive, domain-specific portfolio, not ten unrelated exercises.

★ Flagship Capstone
WorkforceIQ™ — Intelligent Operations Analyst
ImpactAI™ — End-to-End BA AI Portfolio System
An AI-powered business intelligence system that ingests operational documents, policy files, and data exports — answers business questions with cited sources, automates one recurring BA workflow via a no-code agent, visualises outcomes in an interactive dashboard, and is governed by a complete accountability and privacy framework. Built and presented by a BA. No developer required.
Four Capability Layers of the Capstone
📄
Knowledge Layer
Policy docs, SOPs, past reports — AI-powered Q&A with cited sources
🤖
Agent Layer
One no-code agent automating a recurring BA workflow — with full BA specification
📊
Analytics Layer
BI dashboard with AI-generated narrative commentary and automated reporting
🛡
Governance Layer
Accountability matrix, HITL design, bias checklist, privacy assessment, ROI model
How the Capstone Grows Week by Week
Week 1
Choose domain, define users, workflows, data sources, and three success metrics
Week 2
Produce AgentRadar for your domain — the capability map that frames the rest
Week 3
Build FlowBlueprint — integration plan for the capstone's primary workflow
Week 4
Create DataGov Charter for the capstone's data sources and privacy controls
Week 5
Build InsightLab dashboard and prompt library for the capstone domain
Week 6
Complete StrategyAI — the business case and roadmap for the full capstone system
Week 7
Build AgentDesign™ — the no-code agent automating the capstone's primary workflow
Week 8
Complete GovShield™ — the governance framework for the capstone's agent system
Week 9
Build AutoReport — automated reporting pipeline for the capstone's primary KPIs
Week 10
Polish, rehearse, present — ImpactAI™ demo day with complete hiring pack
What You Submit at Week 10
✓
Business Requirements Document (BRD)
AI system spec, user stories, acceptance criteria, data requirements
✓
Working No-Code Agent (Demo Video)
Live Copilot Studio or Make.com workflow with 3–4 min walkthrough
✓
BI Dashboard with AI Narrative Layer
Tableau or Power BI with AI-generated commentary
✓
GovShield™ Governance Pack
Accountability matrix, HITL, bias rubric, privacy, ROI model
✓
Stakeholder Presentation Deck
Executive-ready 10-slide summary with recommendations
✓
AutoReport Pipeline
Automated reporting script with one-page run guide
✓
Portfolio Case Study (PDF)
2-page write-up for LinkedIn, portfolio, or client proposals
✓
Resume Bullet Pack
Five pre-written bullets with your own real metrics
Choose Your Domain at Week 1 — Same Architecture, Your Industry
Customer Support Operations
HR & Onboarding Automation
Financial Analysis & Reporting
Supply Chain Intelligence
Healthcare Process Optimisation
Domain locked at Week 1. Every module project feeds into your domain — one cohesive portfolio, not ten unrelated exercises.
Agentic AI — What Every BA Must Now Understand

Three things reshaping
the BA role right now.

🔌
MCP — How Agents Access Tools & Data
Model Context Protocol is the standard for connecting AI systems to databases, APIs, and business tools. As a BA, you need to know what MCP tools an agent has access to, what permissions they carry, and what the accountability implications are when a tool is invoked or misused. This is a governance question, not a technical one.
Tool PermissionsData Access ScopeAccountability
🤝
A2A — How Agents Collaborate
Agent-to-Agent protocol enables AI systems from different vendors to discover each other and delegate tasks. BAs need to understand handoff points, accountability when an agent sub-delegates, and how to write requirements for multi-agent workflows without needing to understand the underlying implementation.
Handoff RequirementsAccountability MappingMulti-Agent Scope
🏭
No-Code Platforms — What BAs Build Today
Microsoft Copilot Studio, Salesforce Einstein, Make.com, Zapier AI — enterprise agent platforms a BA can configure without writing code. This course teaches them hands-on because they are the tools you will encounter on real AI projects in 2026, not hypothetical future technology.
Copilot StudioMake.comZapier AIEinstein
Tools & Platforms You'll Use

The tools you'll
encounter on Day 1.

AI Platforms
ChatGPT / GPT-4o
Claude (Anthropic)
Gemini (Google)
Perplexity AI
Copilot (Microsoft)
No-Code Agent Tools
Microsoft Copilot Studio
Power Automate AI
Make.com
Zapier AI
Salesforce Einstein
Analytics & BI
Tableau
Power BI
Python + Pandas (guided)
Streamlit
Excel (Advanced)
Process & Delivery
Miro / Lucidchart
Jira / Azure DevOps
Confluence / Notion
OpenAI / Anthropic APIs
LangChain (conceptual)
Instructors & Industry Experts

Learn from people
who've actually
shipped AI projects.

👨‍🎓
Vinay Bamil, PhD
VP, AI Strategy & Innovation · PhD AI for Social Good · Former GenAI Coach @Google · Startup Advisor · AI-ML Educator
Lead Instructor
👨‍💻
Randeep S. Bhatia
CTO & Board Director · Sr. Engineering Director · AI-ML Advisor · Ex-Audible · Ex-Twitch · Ex-EA
Technology
📊
Sanjay Lalwani
Data Scientist at Siemens · Ex-Infosys · Speaker · AI Educator · Azure Certified
Data & Cloud
🎯
Aashrith Arun Belawadi
Head of Growth & Strategy · MBA University of Bath · Consultant · Innovation · Strategy · Ex-Deloitte
Strategy
🤖
Saurabh Sachdev
Data Scientist · ML Engineer · AI Educator · Hands-on practitioner in production AI systems
ML & AI
Is This For You?

Built for BAs who want
to lead AI projects,
not just survive them.

✅ Great Fit
→
Business Analysts on or near AI project teams
You want to be the most valuable person in the room, not the one being worked around.
→
Analysts moving into AI product or consulting roles
You see the opportunity clearly. This programme gives you the credibility to act on it.
→
Project Managers expanding into AI delivery
You manage delivery but need to understand what AI projects actually involve to plan them well.
→
Consultants advising on AI strategy
You need fluency in GenAI and Agentic AI to give recommendations that hold up to technical scrutiny.
Target Roles After Graduation
AI Business Analyst
AI Product Analyst
AI Consultant
AI Project Manager
Digital Transformation Analyst
AI Governance Analyst
Prerequisites
✓ 1+ year in a BA, analyst, or consultant role
✓ Comfortable with Excel and business documents
✓ Experience writing requirements or user stories
✗ No coding experience required
✗ No AI or ML background required
Interview Readiness

Questions you'll be asked —
and how you'll answer them.

Every module includes a "What interviewers ask about this topic" callout. Six that come up in almost every AI-adjacent BA role.

"How would you write acceptance criteria for an AI agent?"
Week 7 teaches exactly this — scope, tool access, stop conditions, approval gates, and failure behaviour in a formal BA spec. AgentDesign™ is a worked, submittable example. Week 7 opens with conceptual orientation so the criteria you write are grounded in how agents actually work.
↑ Week 7 — AgentDesign™
"How do you know an AI agent is working well for business use cases?"
You'll answer from GovShield™: task success rates, escalation frequency, time-to-resolution vs. baseline, user correction rate, and stakeholder satisfaction. Business eval metrics, not just technical groundedness scores.
↑ Week 8 — GovShield™
"How do you measure the ROI of an AI project?"
You built a real ROI model in Week 8 — baseline vs. AI-assisted time, error rates, escalation frequency, and cost-per-outcome. GovShield™ has a worked ROI section with a model you can walk through step by step.
↑ Week 8 — GovShield™
"What's the difference between an LLM and an AI agent?"
You'll answer with the business-friendly explanation from Week 2 backed by AgentRadar — LLMs respond to a prompt; agents plan, act, and decide across multi-step workflows autonomously. You'll have a capability map to show.
↑ Week 2 — AgentRadar
"Walk me through how you'd integrate AI into an existing business process."
FlowBlueprint is exactly this — before/after process maps, user story backlog, KPI definitions, risk register, and a phased rollout plan. You narrate from your own portfolio rather than describing a hypothetical.
↑ Week 3 — FlowBlueprint
"What AI tools have you used to automate business workflows?"
Microsoft Copilot Studio and Make.com — hands-on in Week 7 with AgentDesign™. You have a working demo, a BA specification, and a recorded walkthrough. Most candidates can name the tools. You'll have shipped with them.
↑ Week 7 — AgentDesign™
Your Resume After Graduation

Bullets you can defend
in any interview.

Your Name
AI Business Analyst · CoreSmart Certified · Generative AI & Agentic AI for Business Analysts
Projects & Portfolio
Built and delivered WorkforceIQ™ — an intelligent operations analyst system — covering AI-powered knowledge Q&A, a no-code workflow agent, an automated BI dashboard, and a full governance framework across a [chosen domain] use case.
Authored GovShield™ — a production AI agent governance framework — including accountability matrix, HITL escalation design, GDPR-aligned privacy risk assessment, bias evaluation rubric with scoring criteria, and an ROI tracking model with baseline vs. AI-assisted metrics.
Designed and configured AgentDesign™ — a no-code workflow agent in Microsoft Copilot Studio — automating [specific recurring BA task], documented with a full BA specification including tool access, approval logic, failure modes, and acceptance criteria.
Built FlowBlueprint — an AI integration blueprint for a [domain] process — including before/after process maps, user story backlog, KPI framework, risk register, and phased rollout plan adopted as the delivery artefact for the programme capstone.
Produced StrategyAI — a board-level AI product strategy pitch using GenAI-assisted market analysis and competitive landscape — presented live to a stakeholder panel with a go/no-go recommendation and phased roadmap.
Technical Skills
Microsoft Copilot Studio, Make.com, Power Automate, Tableau, Power BI, Salesforce Einstein, ChatGPT / GPT-4o, Claude, Gemini, Perplexity, Python (guided), SQL, Excel, Miro, Jira, Azure DevOps
What Our Students Say

From people who've
been through it.

This course transformed my understanding of AI in business contexts. I learned how to leverage data-driven insights for strategic decision-making — something no other programme had made practical for a working BA.
Emily Carter
Business Analyst
The governance module alone changed how I approach AI delivery. I now have language and structure for conversations I was previously fumbling through — and GovShield™ is something I've actually used in a real project since.
Michael Thompson
Project Manager
The instructors are genuine industry experts. I now feel confident recommending and governing AI solutions to clients — and I have a portfolio to prove it, not just a certificate to show for it.
Sarah Martinez
Technology Consultant
How to Apply

Four steps to
your seat.

1
Choose Your Domain
Review the curriculum and choose your capstone domain before you enrol — your Week 1 project depends on it.
2
Submit Application
Apply online in under 5 minutes. Cohorts are capped at 40 — early applications are prioritised.
3
Build Weekly
Attend live sessions and complete each named project. Every week adds one layer to your capstone.
4
Earn Certification
Present ImpactAI™ at Demo Day. Receive CoreSmart certification and your complete hiring pack.
Pricing & Enrollment

An investment that pays
for itself in one project.

Early Bird
$799
Save $300 · Limited seats · 30 days before cohort
✓10-week live cohort
✓2-module free prep track
✓12 named weekly projects
✓WorkforceIQ™ capstone
✓CoreSmart certification
✓6-month community access
✗ 1-on-1 mentoring
✗ Interview coaching
Enroll Early
Standard
$1099
Full enrollment · All cohort dates
✓10-week live cohort
✓2-module free prep track
✓12 named projects + hiring pack
✓WorkforceIQ™ capstone
✓CoreSmart certification
✓12-month community access
✓2× 1-on-1 mentoring sessions
✗ Interview coaching session
Enroll Now
Premium
$1499
For career changers & consultants
✓Everything in Standard
✓5× 1-on-1 mentoring sessions
✓Mock technical interview
✓LinkedIn profile review
✓Resume & portfolio review
✓Lifetime community access
✓Priority cohort placement
Apply for Premium
Corporate Training
Custom cohorts for BA and analyst teams of 5–50. Industry-specific capstone domains, bespoke governance frameworks, and group pricing. Agentic AI upskilling designed around your team's actual projects and tools.
Talk to Us →
Frequently Asked Questions

Everything else
you want to know.

Do I need to know how to code?
No. This programme is designed specifically for non-technical professionals. Week 9 uses Python in a guided, run-and-understand format — not a build-from-scratch coding exercise. The Agentic AI modules in Weeks 7–8 use no-code tools entirely.
How is this different from a generic AI literacy course?
Every deliverable is framed as something you'd produce on a real AI project: BRDs, governance packs, ROI models, integration blueprints, no-code agent demos. You're building evidence of competence, not completing quizzes.
Why does Week 7 open with conceptual orientation before hands-on work?
So you configure tools you understand, not tools you've just seen demoed. The 60-minute Day 1 orientation covers how agents actually work, what MCP and A2A mean for BAs, and when NOT to recommend an agent — before any Copilot Studio or Make.com session. Students who skip the orientation consistently produce weaker specifications.
What's the time commitment per week?
Plan for 8–12 hours: roughly 3–4 hours of live sessions and 4–8 hours of project work. Because every module project feeds into the capstone, the work compounds positively — later weeks feel efficient because earlier foundations are already built.
Are sessions recorded?
Yes. All live sessions are recorded and available for the duration of your community access. We strongly recommend attending live — the stakeholder presentation exercises and live critique sessions are where most students report the real learning happens.
How is the capstone graded?
Assessed on completeness of deliverables, quality of requirements and governance documentation, and clarity of your stakeholder presentation. Real-world BA quality — the kind a delivery lead or CTO would sign off on — is the standard. Technical sophistication is not a criterion.
Next Cohort Starting Soon — 40 Seats Maximum

Stop watching AI reshape
your role. Lead it.

10 weeks. 12 named projects. One complete AI portfolio. A career that evolves with the technology.

Reserve Your Seat → Download Syllabus
Cohorts are capped at 40 students per session to ensure live presentation quality and personalised feedback.
CORESMART.AI
Innovate with Intelligence
Phone
+1 650 499 6634
Email
info@coresmart.ai
Web
www.coresmart.ai
Location
39159 Paseo Padre Pkwy, Ste 311, Fremont, CA 94538