School of Business AI & Digital Transformation · Foundation–Intermediate
Business AI, Automation & Digital Transformation Course
Use AI, agents and no-code automation to redesign business processes, improve decisions and deliver measurable digital transformation.
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Business AI Foundations and Opportunity DiscoveryPrompting and AI Productivity for ProfessionalsBusiness Analysis and Process DesignNo-Code Workflow Automation
ChatGPTCopilot-class toolsprocess mapping toolsGenerative AI assistantsMiro
How you will learn
What you will learn, module by module
Apply AI to business analysis, digital product strategy, no-code workflow automation, decision making and enterprise process transformation. Progress from Business AI Foundations and Opportunity Discovery to AI Governance, ROI and Business Transformation Capstone through guided labs, assessed projects, and portfolio evidence.
01Module 1 · 5 hoursBusiness AI Foundations and Opportunity DiscoveryIdentify and score AI opportunities across a real business process using value, feasibility and risk.
Topics you will cover
- Generative AI concepts
- Business use cases
- Task decomposition
- Augmentation versus automation
- Value/risk matrix
- Process pain points
- AI readiness
- Tools and platforms
- ChatGPT/Copilot-class tools, process mapping tools
- Portfolio evidence
- AI opportunity portfolio
- Assessment
- Opportunity case
02Module 2 · 7 hoursPrompting and AI Productivity for ProfessionalsBuild a reusable prompt playbook for one business function with quality criteria.
Topics you will cover
- Prompt structure
- Context
- Examples
- Structured outputs
- Reusable prompt systems
- Research
- Summarisation
- Tools and platforms
- Generative AI assistants
- Portfolio evidence
- Function-specific AI prompt library
- Assessment
- Prompt portfolio review
03Module 3 · 8 hoursBusiness Analysis and Process DesignMap an inefficient process and define an AI-enabled future-state workflow with requirements.
Topics you will cover
- Stakeholders
- Requirements
- Current/future state
- Process maps
- Root cause
- User stories
- Acceptance criteria
- Tools and platforms
- Miro/Lucidchart concepts, documentation tools
- Portfolio evidence
- AI-enabled process blueprint
- Assessment
- Process design review
04Module 4 · 10 hoursNo-Code Workflow AutomationAutomate a multi-step business workflow with approval, logging and exception handling.
Topics you will cover
- Triggers/actions
- Connectors
- Approvals
- Forms
- Data stores
- Error handling
- Notifications
- Tools and platforms
- Power Automate/Make/Zapier-class tools
- Portfolio evidence
- Working no-code automation
- Assessment
- Automation practical
05Module 5 · 10 hoursAI Agents and Enterprise Workflow OrchestrationBuild a business agent that answers from approved knowledge and performs a controlled action.
Topics you will cover
- Agent concepts
- Knowledge sources
- Instructions
- Tools
- Actions
- Retrieval
- Memory
- Tools and platforms
- Copilot Studio/agent builder class tools
- Portfolio evidence
- Business AI agent prototype
- Assessment
- Agent demo
06Module 6 · 8 hoursData, Analytics and Decision SupportCreate an AI-assisted management dashboard/decision pack from a business dataset.
Topics you will cover
- Data literacy
- KPI trees
- Dashboards
- Natural-language analysis
- Spreadsheet AI
- BI copilots
- Scenario analysis
- Tools and platforms
- Excel/Sheets, Power BI concepts, AI assistants
- Portfolio evidence
- AI-assisted business insights pack
- Assessment
- Decision case
07Module 7 · 8 hoursDigital Product Strategy and AI TransformationCreate a 90-day AI product/transformation roadmap with adoption plan and success metrics.
Topics you will cover
- Customer/problem discovery
- Product value proposition
- AI feature design
- Buy/build/partner
- Roadmap
- Adoption
- Change management
- Tools and platforms
- Product templates, roadmap tools
- Portfolio evidence
- AI transformation roadmap
- Assessment
- Strategy presentation
08Module 8 · 16 hoursAI Governance, ROI and Business Transformation CapstoneRedesign a business process end to end using AI, automation and analytics, and present quantified business case plus governance plan.
Topics you will cover
- Responsible AI
- Privacy
- Security
- Human oversight
- Policy
- Vendor evaluation
- Cost/benefit
- Tools and platforms
- AI assistants, automation platform, analytics tools
- Portfolio evidence
- Executive AI transformation business case
- Assessment
- Capstone pitch
Projects you will build
2 portfolio projects plus module evidence
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 planDepartment AI Copilot
Build a controlled knowledge and workflow assistant for HR, finance, sales or operations.
Knowledge design · prompts · agent actions · controls · adoption plan Course value
Why this course
Business AI creates value only when teams identify suitable opportunities, redesign workflows, manage risk, support adoption, and measure operational outcomes.
The curriculum progresses from Business AI Foundations and Opportunity Discovery to AI Governance, ROI and Business Transformation Capstone, with guided labs, assessments, and two portfolio projects: AI-Enabled Operations Transformation and Department AI Copilot.
Who this course is for
Business analysts, operations, product, HR, finance, sales and transformation professionals.
Foundation–IntermediateBusiness AI & Automation Specialist
PrerequisitesNo coding experience is required. This course is designed for business, operations, product, and transformation professionals.
What you will be able to do
- Identify and score AI opportunities across a real business process using value, feasibility and risk.
- Build a reusable prompt playbook for one business function with quality criteria.
- Map an inefficient process and define an AI-enabled future-state workflow with requirements.
- Automate a multi-step business workflow with approval, logging and exception handling.
- Build a business agent that answers from approved knowledge and performs a controlled action.
- Create a 90-day AI product/transformation roadmap with adoption plan and success metrics.
- Redesign a business process end to end using AI, automation and analytics, and present quantified business case plus governance plan.
Technology you will use in this course
ChatGPTCopilot-class toolsprocess mapping toolsGenerative AI assistantsMiroLucidchart conceptsdocumentation toolsPower AutomateMakeZapier-class toolsCopilot Studioagent builder class toolsExcelSheetsPower BI conceptsAI assistants
Career relevance
Business AI & Automation Specialist
This course supports the development of skills relevant to roles such as Business AI Analyst, Automation Specialist, Digital Transformation Analyst, and AI Product/Operations role. The strongest learner outcome is a portfolio that shows the problem, implementation, testing or evaluation, documentation and a clear explanation of decisions—not a certificate alone.
Course evidence and instruction
Ranjeet Kumar
Advisor, Brightnest AI Academy · Innovation & Growth LeaderA technologist and data leader with 15+ years of experience applying data, artificial intelligence and machine learning to complex problems, scalable products and business growth.
Learner experience
I started with basic Excel knowledge. The SQL, Power BI and Python projects helped me explain business insights clearly and move into an analyst role.
Industry and technology ecosystem
Microsoft
Clear answers before you enrol
Use AI, agents and no-code automation to redesign business processes, improve decisions and deliver measurable digital transformation.
Is the Business AI & Automation course suitable for beginners?
This course progresses from foundation to intermediate level. No coding experience is required. This course is designed for business, operations, product, and transformation professionals.
What will I build during the course?
You will complete guided labs in every module and build two portfolio projects: AI-Enabled Operations Transformation and Department AI Copilot. Deliverables include working files or code, documentation, testing or evaluation evidence, and a final presentation.
Which tools and platforms are covered?
Key tools include ChatGPT, Copilot-class tools, process mapping tools, Generative AI assistants, Miro, Lucidchart concepts, documentation tools, and Power Automate. Additional platforms are introduced in relevant modules through practical tasks, and the toolset may evolve as industry practice changes.
How long does the course take?
The course includes approximately 72 guided learning hours across 8 modules, normally delivered over 9–11 weeks depending on batch intensity and learner practice time.
Which career paths can this course support?
The curriculum supports the development of skills relevant to roles such as Business AI Analyst, Automation Specialist, Digital Transformation Analyst, and AI Product/Operations role. Career outcomes depend on prior experience, project quality, interview readiness and market conditions; employment is not guaranteed.
Will I receive mentor and career support?
The course includes live instruction, lab support, assignment feedback, project reviews and career preparation covering portfolio development, resume writing, LinkedIn profile improvement, and interview guidance.
Ready to start?
A-56, Sector-64, Noida, Uttar Pradesh – 201301Ready to start your Business AI, Automation & Digital Transformation journey?
Review the full curriculum, experience a live class and confirm the right starting point before enrolling.