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BYA Standard Curriculum

Learn. Build. Become Industry Ready.

A standardized 45-day learning pathway designed for every BYA technology course — combining common industry foundations, course-specific specialization, practical projects and career preparation.

45Learning Days

4Learning Phases

7Technology Pathways

1Practical Project

The BYA Learning Model

One Standard. Seven Technology Paths.

Every student follows the same structured learning framework. The specialization changes according to the course selected.

01LEARN

Build technology and industry foundations.

→

02BUILD

Apply knowledge through practical work.

→

03PRESENT

Demonstrate and explain your project.

→

04PREPARE

Develop career and interview readiness.

→

05GROW

Identify internships and next learning steps.

45-Day Pathway

Four Phases of Learning

Each phase has a clear purpose and measurable outcome.

Days 1–10

Foundation & Industry Orientation

10 Days

Technology & IT Industry Orientation

Introduction to the technology industry
How software and technology companies operate
Product companies vs IT services organizations
Technology teams and common job functions
MNC work culture and professional expectations
Technology career pathways

Digital & Programming Fundamentals

Computer and software fundamentals
Internet and networking basics
Operating system concepts
Databases and data fundamentals
APIs and application basics
Cloud fundamentals
Programming logic and problem solving

Professional Development

Technical terminology
Development tools and workflows
Git and GitHub fundamentals
Documentation and debugging
Introduction to project management
Team collaboration and professional communication

Phase outcome: Students understand the technology industry, common technology roles and the fundamentals required to begin their selected specialization.

Days 11–25

Core Technology Specialization

15 Days

The common foundation ends here. Students move into the technical subjects of the technology course they selected.

Artificial IntelligenceAI concepts · Python fundamentals · intelligent systems · Generative AI · LLM concepts · AI APIs · responsible AI

Machine LearningPython · data handling · preprocessing · statistics · supervised learning · unsupervised learning · model evaluation

Cloud ComputingCloud models · compute · storage · networking · IAM · databases · containers · deployment · monitoring

CybersecuritySecurity principles · networking · Linux · threats · vulnerabilities · authentication · web security · monitoring

DevOpsGit · Linux · CI/CD · automation · GitHub Actions/Jenkins concepts · Docker · deployment · monitoring

DevelopmentProgramming · HTML · CSS · JavaScript · frontend · backend · SQL · APIs · authentication · deployment

SAP BasisSAP fundamentals · ERP · SAP architecture · administration · users · monitoring · jobs · transports · troubleshooting

Phase outcome: Students develop a foundational technical understanding of their chosen specialization and the tools used within it.

Days 26–37

Practical Projects & Applications

12 Days

01 · Project Selection

Identify a practical problem and define the project objective, users and expected outcome.

02 · Planning & Architecture

Break the project into tasks, choose suitable tools and prepare the basic technical approach.

03 · Implementation

Build the project using the technology and methods covered during specialization.

04 · Testing & Improvement

Test the project, identify issues, debug and improve the final implementation.

05 · Documentation

Prepare project documentation, screenshots, technical notes and a clear project summary.

06 · Presentation

Present the problem, solution, technology, implementation and results to an evaluator.

Illustrative project directions

AI Student AssistantML Prediction SystemCloud-Deployed ApplicationCybersecurity LabCI/CD Deployment PipelineFull-Stack ApplicationSAP Administration Simulation

Phase outcome: Every student completes a practical project that can be documented as part of their academic and professional portfolio.

Days 38–45

Career Readiness & Industry Preparation

8 Days

Resume & Profile

Professional resume structure
Technical skills presentation
Project documentation
GitHub profile fundamentals
LinkedIn profile fundamentals
Portfolio presentation

Interview Preparation

Technical interview fundamentals
HR interview preparation
Technical self-introduction
Project explanation
Common interview questions
Mock interview practice

Industry Awareness

Reading technology job descriptions
Understanding entry-level expectations
Skills commonly requested by employers
Internship awareness
Certification pathways
Higher-learning pathways

Final BYA Assessment

Technical AssessmentProject EvaluationProject PresentationCareer Readiness Assessment

Phase outcome: Students leave with a clearer career direction, a completed project and improved readiness for internships, interviews and further learning.

Technology Pathways

Choose Your Specialization

Each pathway has its own technical focus while following the same BYA learning model.

Artificial Intelligence (AI)Intelligent systems, automation & emerging AIExplore → Machine Learning (ML)Data, algorithms, models & predictionsExplore → Cloud ComputingCloud platforms, infrastructure & deploymentExplore → CybersecuritySecurity, networks & digital protectionExplore → DevOpsAutomation, CI/CD & modern deliveryExplore → DevelopmentWeb & application software developmentExplore → SAP BasisEnterprise systems & SAP administrationExplore →

Beyond the classroom

What students should be able to demonstrate

BYA is designed to move students from simply knowing concepts to being able to explain, apply and demonstrate what they have learned.

01Explain the fundamentals of a chosen technology.

02Use relevant tools and workflows at a foundational level.

03Complete and present a practical technology project.

04Build a professional resume and project profile.

05Understand potential entry-level roles and next steps.

06Identify relevant certifications, internships and higher-learning opportunities.

BYA is an industry-oriented learning and career development program. Course completion does not guarantee employment, internship, salary, placement or selection by any specific company. Career outcomes depend on individual skills, academic background, projects, experience, market conditions and employer selection processes.

Choose your technology pathway

Explore the detailed course benefits and select the specialization that matches your goals.

Explore Courses →