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Programs

Business fundamentals. One deep specialization.

Every Full-Stack program sits on the same Applied Business Core — so your next skill always builds on what you already earned here.

01Flagship Credential

The Full-Stack Track

Foundation: 30 hours — at the pace that fits your life. Then one deep AI-powered specialization. Every program ends in a live project, a portfolio, and direct access to our internship and placement pipeline.

Working Professionals · College Students · Busy Parents Weekend Pace · 3 Months

2.5 hours a week in weekend sessions, plus free-to-join practical time during weekdays. Learn without pausing your job, your degree, or your family.

Between Jobs · Fresh Graduates · Career Restarters Full-Time · 1 Month

A concentrated month to complete the Foundation. Once it's done, opt into a Level 2 specialization along with an internship.

The Full-Stack Marketer

Foundation (30 hrs · 3 months) + one AI-powered specialization — Social, Search, or SEO + GMB
Flagship
Level 1 — Foundation
Module 1 — Business & AI Foundations
Objective: Understand how a business runs and how AI tools now sit inside every function.
ChatGPTNotion AIP&L basics
Module 2 — Digital Marketing Core
Objective: Understand every channel, the buyer journey, and how they connect before specializing in one.
Meta & Google overviewFunnel mapping
Module 3 — Brand, Content & AI Tools Across Every Channel
Objective: Build positioning and content systems, and get fluent with the AI tools used across all three specializations.
Canva AICapCutChatGPT
Module 4 — Foundation Capstone: Marketing Plan
Objective: Build a full marketing plan for a real or simulated business before choosing your specialization.
Portfolio build

Not sure where to start? This is the part that makes digital marketing make sense — no jargon, no experience needed.

Every specialization also covers strategy, automation, and budgeting — including how to use AI tools well within each. Covered once here, applied across every track.

Want to build a brand, a business, or your own name online? This teaches you exactly how — including how to use AI content tools without getting flagged by Meta.

Platform Strategy & Content Creation
Objective: Build a content system for Instagram, Facebook, and LinkedIn — and learn to use AI content tools in a way that doesn't get flagged by Meta.
CanvaCapCutGoogle AI Studio & more
Community Growth & Automation
Objective: Grow and manage an audience using automated scheduling, captions, and DM handling.
Meta Business SuiteWhatsApp BusinessManyChat & more
Paid Social & Ad Optimization
Objective: Plan, launch, and optimize paid social campaigns with smart targeting and creative testing.
Meta AdsMeta Advantage+
Capstone: Full Social Media Campaign
Objective: Present a complete organic + paid social campaign with real results to an industry panel.
Portfolio buildInterview prep

Want your business to show up first when someone nearby searches for what you do? This is how.

Technical & On-Page SEO
Objective: Audit and optimize a website's technical and on-page SEO for search visibility.
Search ConsoleContent tools
Local SEO & Google Business Profile
Objective: Build and optimize a Google Business Profile to rank in local search and maps.
Google Business ProfileBrightLocal
Content & Link Building
Objective: Plan a content and backlink strategy that builds authority and rankings.
ChatGPTSurfer SEO
Capstone: Full SEO Audit & GMB Optimization
Objective: Present a complete SEO audit and local optimization plan to an industry panel.
Portfolio buildInterview prep

The Full-Stack HR Professional

Foundation (30 hrs · 3 months) + one advanced certification — Hiring & Onboarding, Performance & Culture, Compliance & Payroll, or People Analytics
Signature
Level 1 — Foundation
Module 1 — Business & People Foundations
Objective: Understand how people strategy ties directly to business outcomes — including how roles are structured, KPIs are set, and KRAs are designed.
Org design basicsRoles & KPIsKRA designChatGPT

New to HR, or moving in from another function? This is the part that makes people operations make sense — how roles, targets, and expectations actually get set.

Own the full hiring pipeline — from job description to Day 1.

Sourcing & Screening
Objective: Source, screen, and shortlist candidates against structured criteria.
ATS toolsSourcing platforms
Interview Design & Onboarding
Objective: Design structured interviews and run a smooth Day 1 onboarding experience.
Interview scorecardsOnboarding checklists

Build the systems that turn "everyone's busy" into "everyone knows what winning looks like."

Performance Review Frameworks
Objective: Build OKR/KPI-based performance review systems tied to real business goals.
OKRsReview templates
Culture & Engagement
Objective: Design engagement surveys and culture-building initiatives that actually get used.
Survey toolsEngagement calendars

The part every HR role needs and most courses skip — compliance and payroll, done right.

Statutory Compliance & POSH
Objective: Navigate statutory compliance and POSH requirements with confidence.
Compliance checklistsPOSH framework
Payroll Management
Objective: Run payroll processing, reconciliation, and salary structuring end-to-end.
Payroll softwareSalary structuring

Move from gut-feel HR decisions to data-backed ones — the skill that gets HR a seat at the table.

HR Dashboards & Metrics
Objective: Build dashboards that track hiring, retention, and engagement metrics.
HR dashboardsExcel / Power BI
Attrition & Predictive People Analytics
Objective: Use data and AI copilots to predict attrition and inform retention strategy.
Attrition modellingAI copilots
Capstone — Build an HR Playbook
Objective: Present a complete HR system for a real or simulated company, built around your chosen certification.
Portfolio buildInterview prep

The Full-Stack Accountant

Foundation (30 hrs · 3 months) — Tally, Financial Analysis, Bookkeeping & Compliance
Signature
Level 1 — Foundation
Module 1 — Business & Finance Foundations
Objective: Read and build a P&L, balance sheet, and cash flow statement.
ExcelTally

Numbers-shy? This is the module that removes the fear — plain-English finance, no jargon.

Module 2 — Bookkeeping & Compliance
Objective: Manage GST, TDS, and day-to-day books accurately and independently in Tally and Zoho Books.
TallyZoho BooksGST portal
Module 3 — Financial Planning & Budgeting
Objective: Build budgets and cash flow forecasts for a real business.
Excel modellingForecasting tools
Module 4 — AI-Assisted Financial Analysis
Objective: Use AI copilots to analyze Tally and Zoho Books statements and flag anomalies faster.
TallyZoho BooksAI spreadsheet copilots
Module 5 — Capstone: Full Financial Audit
Objective: Present a full financial health review, built from Tally and Zoho Books records, for a real or simulated business.
Portfolio buildInterview prep

The Full-Stack AI & Technology Professional

Foundation (30 hrs · 3 months) + one AI-powered specialization — Data Analytics, Data Science, AI & Machine Learning, or Generative AI & LLM Engineering
Signature
Level 1 — Foundation
Module 1 — Business & AI Foundations
Objective: Understand how data and AI now sit inside every business function, before going deep in one.
ChatGPTBusiness context
Module 2 — Data & Analytics Core
Objective: Get fluent in the spreadsheets, queries, and dashboards every data role runs on.
ExcelSQLPower BI / Tableau overview
Module 3 — Programming & AI Tools Foundations
Objective: Learn Python basics and the core AI/ML concepts used across every specialization.
PythonPrompt engineering
Module 4 — Foundation Capstone: Data & AI Project
Objective: Build a small end-to-end data project before choosing your specialization.
Portfolio build

New to tech? This is the part that makes data and AI make sense — no coding background needed to start.

Every specialization also covers real-time projects and placement preparation — covered once here, applied across every track.

Turn raw numbers into decisions businesses actually use — one of the fastest entry points into a data career.

Advanced Excel, SQL & Dashboards
Objective: Query, clean, and structure data at a professional standard.
Advanced ExcelSQL for Analytics
Business & Predictive Analytics
Objective: Apply Python and statistics to spot trends and predict outcomes.
PythonStatistics
Visualization & Reporting
Objective: Build dashboards and reports business teams actually use to decide.
Power BITableau
Capstone: Real-Time Analytics Project
Objective: Present a complete analytics project with real business recommendations to an industry panel.
Portfolio buildPlacement prep

Go from reading data to building the models that explain it.

Programming & Data Foundations
Objective: Get fluent in Python, SQL, and the math and statistics data science runs on.
PythonNumPyPandas
Exploratory Data Analysis & Visualization
Objective: Explore, clean, and visualize messy real-world datasets before modelling.
EDAData visualization
Machine Learning & Deep Learning
Objective: Build and evaluate ML and deep learning models on real problems.
Machine LearningDeep Learning
Capstone: End-to-End Data Science Project
Objective: Present a complete data science project — from raw data to model to insight — to an industry panel.
Portfolio buildPlacement prep

Build and deploy the models companies are hiring for right now.

ML & Deep Learning Foundations
Objective: Apply statistics, probability, and Python to build machine learning and deep learning models.
Python for AIStatistics & Probability
Specialized AI: NLP & Computer Vision
Objective: Build models that understand language and images.
NLPComputer Vision
Deployment & MLOps
Objective: Take a model from notebook to production using industry-standard frameworks.
TensorFlowPyTorchMLOps
Capstone: Industry AI Project
Objective: Present a deployed AI project to an industry panel.
Portfolio buildInterview prep

The newest, highest-demand skill in tech — build with LLMs and AI agents, not just use them.

Prompt Engineering & LLM Foundations
Objective: Understand how LLMs work and engineer prompts that reliably get results.
Prompt engineeringOpenAI APIs
RAG & Vector Databases
Objective: Build retrieval-augmented systems that ground LLMs in real business data.
LangChainRAGVector databases
AI Agents & Enterprise Applications
Objective: Build multi-step AI agents for real enterprise use cases.
AI agentsCrewAI & AutoGen
Capstone: Enterprise GenAI Project
Objective: Present a working GenAI application to an industry panel.
Portfolio buildInterview prep
02Try Before You Commit

Bootcamp Topics

Low-commitment, high-signal sessions with outside experts — a taste of what The Academy teaches. Attending a bootcamp is optional: you can apply to a Full-Stack program directly.

Bootcamp · 25 Hours

Practical Cost Analyst

Led by a Practising Cost Accountant

Don't just learn accounting — learn how businesses actually work. A hands-on programme on how a cost analyst enters a business, verifies its records, and helps management control cost.

  • Understand how a business runs, end to end
  • Verify documents, trace transactions & spot control gaps
  • Build a real cost sheet from live business data
  • Present a management report to a review panel
Duration: 25 Hours Next batch: Sep 28 – Oct 4 · 7-Day Bootcamp
Bootcamp · 7 Days

Digital Marketing Foundations & Building a Career as a Marketer

Led by an Expert Marketing Strategist

A grounding in what digital marketing actually covers, how AI now fits into a marketer's everyday work, and what it takes to land your first role in the field.

  • What digital marketing covers — channels, roles & career paths
  • How AI tools fit into a marketer's daily work
  • Build a real campaign brief for your portfolio
  • What it takes to land your first marketing role
Next batch: Sep 28 – Oct 4 · same week

3-Hour Skill Workshops

Coming Soon

Short, hands-on sessions on single skills — AI tools, hiring essentials, and more. Dates will be announced shortly.

Seats are limited across all four tracks.

Apply to a Signature Program →
03Beyond the Classroom

What happens after you finish.

Step 1

Live Projects

Work on real briefs from real businesses inside POBL's network — not simulated case studies.

Step 2

Internships

Top performers move directly into internship placements with our partner companies.

Step 3

Job & Founder Pathways

Get matched to hiring partners — or, if you're building your own venture, a direct line into POBL Launchpad.

04A Campus, Not Just a Classroom

Built so "I can't make it work" stops being the reason you don't start.

The Academy is a full campus — classrooms, mentorship spaces, and a childcare floor — because we built this to work for real, ambitious lives, not around them.

It's a small, practical detail we don't lead with. But for the women it matters to, it's often the difference between applying and not.

"

I could focus completely because everything I needed was on-site. That's not something I expected from a business program.

— Early Applicant
How We're Different

We looked at what already exists. Here's the gap.

What Most Programs Offer

  • Job-matching, with light or optional upskilling
  • Generic, gender-neutral training with no real logistics support
  • 2023-era playbooks with AI bolted on at the end
  • A single audience — usually just career-break women, or just students

The Academy

  • Real, applied skill-building with a capstone and portfolio
  • A campus built around how women's lives actually run
  • AI integrated into every module, from week one
  • One brand, four entry points — student to founder
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