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Professional Diploma · 9-month journey

Professional Diploma in Business Analytics, GenAI & Agentic AI

Transform business data into decisions, dashboards and intelligent AI workflows.

About this programme

Our Business Analytics course is designed for professionals who want to bridge the gap between business problem framing and AI-powered decision intelligence. Learners master Excel, SQL, and BI dashboards (Power BI/Tableau) before extending their analytical capability with GenAI reporting, RAG over business documents, and agentic workflows to support better business decisions.

9 months
Professional journey
6 months
Structured training
3 months
Supervised internship
8
Assessed projects
5
Domain pathways
2
Credentials

Two credentials on completion: Professional Diploma + Internship Completion Certificate.

Why this diploma

From Business Questions to Intelligent Decisions

A business-analytics-first diploma where GenAI and agents extend analytical work instead of replacing its foundations.

Understand the Business

Elicit requirements, define KPIs and translate stakeholder questions into analytical scope.

Analyse with Discipline

Work through Excel, SQL, statistics and Python with reproducible, defensible analysis.

Augment with AI

Extend analytical work with GenAI reporting, RAG over business documents and agentic workflows.

Prove Professional Evidence

Ship dashboards, decision briefs and a documented portfolio that stands up to review.

Programme architecture

How the Nine Months Are Structured

6 months
Structured training
3 months
Supervised internship
8
Assessed projects
5
Domain pathways
2
Credentials
Mixed entry
Freshers, switchers, professionals
Who should join

Entry Profiles and Career Outcome Map

Freshers & Graduates

Commerce, management, engineering and science graduates entering analytics.

Career Switchers

Professionals moving from operations, finance or support functions into analytics roles.

Working Professionals

Analysts and managers who want BI depth plus practical GenAI capability.

Business & Process Teams

Teams responsible for reporting, performance tracking and process improvement.

Business & analytics

  • Business Analyst
  • Data Analyst
  • BI Analyst
  • Power BI Analyst
  • Tableau Analyst
  • Reporting Analyst
  • Process Analyst

AI-enabled analytics

  • GenAI Business Analyst
  • AI-Enabled Data Analyst
  • RAG Solutions Analyst
  • Analytics Automation Analyst
  • Agentic Workflow Analyst
  • Decision-Intelligence Analyst
  • AI Transformation Analyst

Career outcomes describe capability alignment; they are not a guarantee of employment.

Roadmap

Month-by-Month Pathway

Six months of structured training followed by a three-month supervised internship.

Month 1
Business & KPIs
Month 2
Excel & SQL
Month 3
Statistics & Python
Month 4
BI & Storytelling
Month 5
ML & GenAI
Month 6
RAG, Agents & Capstone
Month 7
Internship Discovery
Month 8
Build & Validate
Month 9
Deploy & Defend
Curriculum

Curriculum Sections

Sequenced from business understanding to AI-augmented decision systems.

01Business Analytics & Business Analysis
02Excel for Analytical Work
03SQL & Business Data Modelling
04Statistics, A/B Testing & Business Experiments
05Python, NumPy & Pandas
06Exploratory Analysis & Data Storytelling
07Power BI & Tableau
08KPI Design & Business Performance Analytics
09Machine Learning & Forecasting
10GenAI for Business Analysis & Reporting
11RAG for Business Documents
12Agentic AI & Multi-Agent Business Workflows
13Deployment, Evaluation & Responsible AI
Specialisations

Domain Pathways

Banking & Financial Analytics

Portfolio performance, risk reporting and financial KPI frameworks.

Sales & Marketing Analytics

Funnel, campaign, retention and revenue performance analysis.

HR & Workforce Analytics

Hiring, attrition, engagement and workforce productivity reporting.

Operations & Supply Chain

Throughput, inventory, service levels and process efficiency analytics.

Healthcare & Pharmaceutical

Clinical operations, compliance reporting and patient flow analytics.

Portfolio

Hands-On Business Analytics & AI Projects

Every project is reviewed, documented and added to your professional evidence pack.

Project 1

Requirements & KPI Pack

Capture business requirements and define a defensible KPI dictionary.

Project 2

Excel Performance Dashboard

Build a structured Excel model and performance dashboard for a business unit.

Project 3

SQL Reporting Data Mart

Model business data into a reporting mart with tested queries.

Project 4

Experiment Decision Brief

Design an A/B test, evaluate results and write a decision recommendation.

Project 5

Python EDA Project

Explore and clean a business dataset in Python with clear analytical narrative.

Project 6

BI Decision Dashboard

Deliver an executive Power BI or Tableau dashboard with KPI drilldowns.

Project 7

Predictive Business Model

Build and evaluate a forecasting or classification model for a business decision.

Project 8

AI Analytics Assistant

Combine GenAI, RAG and agent workflows into a reporting assistant.

Enterprise capstone

AI-Powered Business Intelligence & Decision Platform

Five connected layers, built and defended as one system.

1

Domain Data & Requirements

Business context, stakeholders, KPI definitions and source data contracts.

2

Analytics & BI Layer

Modelled data, curated metrics and executive dashboards.

3

Predictive Layer

Forecasting and classification models with validation and error accounting.

4

GenAI & RAG Layer

Grounded narrative reporting over business documents and policy sources.

5

Agentic Control Layer

Multi-agent workflows that orchestrate analysis, checks and reporting.

Supervised internship

Three-Month Delivery Lifecycle

Three-Month Delivery Lifecycle with mentor-reviewed stages.

01Domain Allocation
02Requirements & KPIs
03Data Validation
04Analytics Build
05AI Integration
06Agent Workflow
07Test & Governance
08Deploy & Document
09Demo & Viva

Internship eligibility depends on training completion, project submissions, attendance and evaluation.

Assessment

Assessment and Credentials

Professional Diploma

Awarded on completion of the structured training, assessed projects and capstone.

Statement of Marks

Module-level assessment record covering projects, evaluation and viva.

Internship Completion Certificate

Issued after the supervised three-month delivery lifecycle.

Portfolio Evidence Pack

Documented dashboards, decision briefs, models and AI workflows for review.

Credentials are issued by Algo Labs on successful completion of the assessed components. Career outcomes describe capability alignment and are not a guarantee of employment.

FAQ

Frequently Asked Questions

Become an AI-Powered Business Analyst

Talk to our team about batch dates, domain pathways and the supervised internship lifecycle.

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Programme Practical Details

Programme Duration6 Months Training + 3 Months Internship
Delivery ModeLive Online / Hybrid (Branch-specific)
Live ScheduleWeekends / Evening Batches
Total Live HoursContact admissions for current details
Guided Lab HoursContact admissions for current details
Weekly Self-StudyContact admissions for current details
Batch Start DateUpcoming Batch (Mon/Sun sessions)
Recording PolicyContact admissions for current details
Attendance RequirementContact admissions for current details
Assessment Pass CriteriaContact admissions for current details
Internship EligibilitySuccessful completion of all modules & 8 projects
Certificate EligibilityMinimum 80% attendance + project approvals
GSTContact admissions for current details
EMI/Payment OptionsContact admissions for current details
Batch Transfer PolicyContact admissions for current details
Laptop/Software RequirementsContact admissions for current details
Admissions ContactContact admissions for current details
Fees₹1,10,000 + applicable GSTRefund policy
Refund PolicyView policy details

Algo Labs Programme Fact Sheet