Comprehensive Curriculum

Explore our detailed curriculum for each program. Learn exactly what you'll study, the skills you'll develop, and the projects you'll build.

1-2

Design Foundations

Weeks 1-2

  • • Design principles and visual hierarchy
  • • Color theory and typography fundamentals
  • • Introduction to Figma and design tools
  • • Basic wireframing techniques
  • • Design systems and component libraries
Project: Personal Portfolio Wireframe
3-4

User Research

Weeks 3-4

  • • User interview techniques and best practices
  • • Survey design and data collection methods
  • • Creating user personas and journey maps
  • • Competitive analysis and market research
  • • Synthesizing research findings into insights
Project: User Research Report
5-6

Information Architecture

Weeks 5-6

  • • Site mapping and navigation design
  • • User flow mapping and task analysis
  • • Card sorting and tree testing
  • • Content strategy and information hierarchy
  • • Accessibility principles and inclusive design
Project: E-commerce User Flow
7-8

Prototyping

Weeks 7-8

  • • High-fidelity prototyping in Figma
  • • Micro-interactions and animation principles
  • • Advanced component states and variants
  • • Responsive design and mobile-first approach
  • • Design handoff and developer collaboration
Project: Mobile App Prototype
9-10

Usability Testing

Weeks 9-10

  • • Planning and conducting usability tests
  • • A/B testing and data-driven design decisions
  • • Heat mapping and user behavior analysis
  • • Iterative design and continuous improvement
  • • Presenting findings and design rationale
Project: Usability Test Report
11-12

Portfolio & Career Prep

Weeks 11-12

  • • Portfolio website design and development
  • • Case study writing and storytelling
  • • Design interview preparation and whiteboarding
  • • Salary negotiation and career strategy
  • • Networking and personal branding
Project: Professional Portfolio
1-3

Python Fundamentals

Weeks 1-3

  • • Python programming basics and syntax
  • • NumPy for numerical computing
  • • Pandas for data manipulation and analysis
  • • Data cleaning and preprocessing techniques
  • • Working with CSV, Excel, and JSON files
Project: Sales Data Analysis
4-6

Data Visualization

Weeks 4-6

  • • Matplotlib and Seaborn for data visualization
  • • Creating interactive dashboards with Plotly
  • • Statistical distributions and hypothesis testing
  • • Correlation analysis and feature relationships
  • • Time series analysis and forecasting basics
Project: COVID-19 Data Dashboard
7-9

Machine Learning

Weeks 7-9

  • • Supervised vs unsupervised learning
  • • Linear and logistic regression
  • • Decision trees and random forests
  • • Support vector machines (SVM)
  • • Model evaluation and cross-validation
Project: Customer Churn Prediction
10-12

Advanced ML & Deep Learning

Weeks 10-12

  • • Neural networks and deep learning
  • • Natural language processing (NLP)
  • • Computer vision with OpenCV
  • • Model deployment and MLOps
  • • Big data technologies (Spark, Hadoop)
Project: Image Classification API
1-3

Product Fundamentals

Weeks 1-3

  • • Product management roles and responsibilities
  • • Market research and competitive analysis
  • • Customer development and user interviews
  • • Problem identification and solution validation
  • • Business model canvas and value proposition
Project: Market Analysis Report
4-6

Agile & Development

Weeks 4-6

  • • Agile principles and Scrum framework
  • • User story mapping and backlog management
  • • Sprint planning and retrospective facilitation
  • • Product roadmap creation and prioritization
  • • Cross-functional team leadership
Project: Product Roadmap
7-9

Data-Driven PM

Weeks 7-9

  • • Product metrics and KPI framework
  • • A/B testing and experimentation design
  • • User analytics and behavioral analysis
  • • Growth hacking and optimization strategies
  • • Revenue models and pricing strategies
Project: Growth Strategy
10-12

Advanced PM Skills

Weeks 10-12

  • • Product lifecycle management
  • • Go-to-market strategy and launch planning
  • • Advanced stakeholder management
  • • Conflict resolution and negotiation
  • • Product operations and scaling
Project: Go-to-Market Plan

Our Learning Methodology

Designed for maximum retention and practical application

Learn by Doing

Hands-on projects and real-world case studies that mirror actual industry challenges

Peer Learning

Collaborate with motivated peers and build lasting professional relationships

Continuous Feedback

Regular assessments and mentor feedback to track your progress and improvement

Flexible Schedule

Evening and weekend classes designed for working professionals

Tools & Technologies

Industry-standard tools you'll master

UX Design Tools

Figma
Principle
Adobe Creative Suite
Maze

Data Science Tools

Python
Pandas & NumPy
Scikit-learn
TensorFlow

Product Management Tools

Jira & Confluence
Google Analytics
Figma
Miro

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