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Flagship career programme · Foundation–Intermediate

Business AI & Automation Specialist Career Program

Apply GenAI, analytics and automation to transform business workflows, productivity and decision making.

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School of No-Code Business & AI Careers learning pathway
Business AI FoundationsBusiness Analysis + AutomationAI Agents for BusinessData-Driven Decision Making
ChatGPTCopilot-class toolsProcess mapping toolsGenerative AI assistantsMiro
Duration5–7 months
Batch startsConfirm with admissions
Learning formatLive mentor-led learningConfirm cohort format with admissions
Curriculum8 phasesIncluding a flagship capstone
Portfolio3 portfolio examples
LevelFoundation–IntermediateProgramme level
PathwayBusiness AI Analyst / Automation Specialist / Digital Transformation AnalystRelated career pathway

How you will learn

Live classes
Labs
Projects
Capstone
Mentor feedback
Career preparation
Programme curriculum

What you will learn, phase by phase

Explore the eight-phase pathway and its related syllabuses. Some phases use selected topics or alternative course options.

01Phase 1Business AI FoundationsIdentify high-value AI opportunities and build professional prompting skills.
02Phase 2Business Analysis + AutomationRedesign processes and automate workflows with no-code tools.
03Phase 3AI Agents for BusinessBuild controlled agents connected to enterprise knowledge and actions.
04Phase 4Data-Driven Decision MakingUse analytics and BI to measure outcomes and support decisions.
05Phase 5AI-Powered MarketingApply AI to research, SEO, content, CRM, marketing automation and analytics.
Topics you will cover
  • Digital Marketing Strategy and AI Marketing Stack
  • AI-Powered Audience and Market Research
  • Content Strategy, SEO and Generative Content Operations
  • Paid Media and Creative Experimentation
  • Email, CRM and Lifecycle Automation
  • Social Media and Community Content Systems
  • Marketing Analytics, Attribution and Conversion Optimization
  • AI Marketing Capstone and Growth System
06Phase 6Transformation Strategy + GovernanceBuild roadmaps, adoption plans, ROI cases and responsible AI controls.
07Phase 7Executive Transformation SprintRedesign a real department workflow around AI, automation and measurable KPIs.
08Phase 8Flagship CapstonePresent an executive-ready AI transformation solution with prototype, ROI and governance plan.
Applied portfolio

Portfolio examples and flagship capstone

Explore project examples and the integrated flagship capstone. Confirm your cohort’s project selection with admissions.

Portfolio example 1

AI-Enabled Operations Transformation

Redesign an operations process using GenAI, no-code automation, agent actions and KPI tracking.

Process map · working automation · agent prototype · ROI model · governance plan.
Portfolio example 2

Executive Revenue Analytics

Analyze revenue, customers and products using SQL/Python and present actionable insights.

SQL scripts · notebook · charts · executive summary.
Portfolio example 3

90-Day AI Growth Engine

Create integrated SEO/content/paid/CRM/analytics program with AI-assisted operations.

Campaign plan · content assets · automations · dashboard · experiment backlog.
Flagship capstone

AI-Enabled Business Transformation Portfolio

Learners integrate the complete pathway into a production-style capstone with a clear brief, architecture or process design, working implementation, testing or evaluation evidence, documentation, mentor review and a final technical or business presentation.

AI transformation solution and working prototype. · ROI model and measurable KPIs. · Governance plan and responsible AI controls. · Executive-ready presentation.
Programme value

Why this programme

Turn AI and no-code automation into measurable productivity, decision and customer outcomes.

Programme fit

Who this programme is for

Business analysts, operations professionals, product teams, marketers, founders and managers who want to apply AI without becoming software engineers.

Foundation–IntermediateBusiness AI Analyst / Automation Specialist / Digital Transformation Analyst
PrerequisitesNo coding experience is required. Learners should understand a business function or workflow they want to improve.
Practical capabilities

What you will be able to do

  • Identify high-value AI opportunities and build professional prompting skills.
  • Redesign processes and automate workflows with no-code tools.
  • Build controlled agents connected to enterprise knowledge and actions.
  • Use analytics and BI to measure outcomes and support decisions.
  • Apply AI to research, SEO, content, CRM, marketing automation and analytics.
  • Build roadmaps, adoption plans, ROI cases and responsible AI controls.
  • Redesign a real department workflow around AI, automation and measurable KPIs.
  • Present an executive-ready AI transformation solution with prototype, ROI and governance plan.
Tools and platforms

Technology you will use in this programme

ChatGPTCopilot-class toolsProcess mapping toolsGenerative AI assistantsMiroLucidchart conceptsDocumentation toolsPower AutomateMakeZapier-class toolsCopilot StudioAgent builder toolsExcelGoogle SheetsPower BI conceptsAI assistantsProduct templatesRoadmap tools
Career relevance

Business AI Analyst / Automation Specialist / Digital Transformation Analyst

Prepare for Business AI Analyst, Automation Specialist and Digital Transformation Analyst roles through practical skills, project evidence and interview preparation. Employment is not guaranteed.

Programme evidence and instruction

Programme guidance

Discuss your learning pathway

Review prerequisites, learning format and project expectations with admissions before enrolment.

Get programme guidance
Project evidence

Explore the programme projects

Review the project briefs and deliverables to understand the work expected during the programme.

Review project expectations
Programme FAQs

Clear answers before you enrol

How is a flagship programme different from a focused course?

A focused course develops one defined capability. A flagship programme combines foundations, specialist skills, production practices, capstone work and career preparation into a longer role-based journey.

How much time should I plan each week?

Confirm live class times and the expected weekly commitment with admissions before enrolment.

What practical work will I complete?

The curriculum includes guided labs, project work and a flagship capstone. Review the portfolio examples above and confirm cohort-specific project requirements with admissions.

How will my progress be assessed?

Progress is reviewed through guided labs, project work, implementation and evaluation evidence, and a final capstone presentation.

Are vendor certifications included?

The curriculum develops practical skills. Vendor certification exams and official certification status are not included unless explicitly confirmed in your enrolment offer.

Does this programme guarantee a job?

No. Employment depends on learner performance, experience, hiring conditions and employer decisions.

Will I receive a certificate?

A programme completion certificate may be issued after you meet the published attendance, assignment, project and assessment requirements.

Ready to start?

Ready to explore the Business AI & Automation Specialist pathway?

Review the curriculum and confirm prerequisites, fees and the next available cohort with admissions before enrolment.

Request demo details Speak with an adviser: +91 73030 11395
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