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Course curricula

Software Training Courses: .NET Full Stack & Python

Start from the basics and grow into a developer. Every track lists its modules, estimated classes, practical work and a downloadable PDF syllabus.

  1. 1Basics first
  2. 2Practice next
  3. 3Projects after that
  4. 4Advanced topics later

Main programs

Our Two Primary Training Paths

Most students choose one of these. The tracks below are the individual building blocks these programs are made from, and can also be taken on their own.

Microsoft .NET Full Stack Development

Beginner → Intermediate · 120–144 classes · 90 minutes each

Learn C#, SQL Server, ASP.NET Core Web API, and Angular or React to understand how full-stack business applications are developed.

What you will learn

  • C# and .NET
  • SQL Server
  • ASP.NET Core Web API
  • ADO.NET and Dapper
  • Angular or React
  • Git and Debugging
  • Guided Full-Stack Project
  • Responsible AI-Assisted Development

Python Programming & Development

Beginner → Intermediate · 34–42 classes · 90 minutes each

Learn Python from the basics with practical coding, file handling, automation basics, and an introduction to backend API development.

What you will learn

  • Python Fundamentals
  • OOP Concepts
  • Files and Data Handling
  • File & CSV Automation Basics
  • SQL Basics
  • FastAPI Introduction
  • Git and Debugging
  • Guided Python Exercises & Mini Projects

Independent but connected tracks

Learn One Major Skill Properly. Connect It When You Are Ready.

  • Check prerequisites before starting a track.
  • Move from beginner topics into practical intermediate work.
  • Complete labs, debugging tasks and responsible AI exercises.
  • See what is excluded and which track to learn next.

Programming Foundations (2)

Start here to understand software, programming and the browser before frameworks.

Microsoft .NET (3)

C#, data access and modern Microsoft application development.

Frontend (2)

Choose one UI framework — Angular or React — and connect it to an ASP.NET Core backend.

Databases (2)

Build the SQL and document-database knowledge applications depend on.

Developer Tools and Practice (4)

Use real tools, source control, debugging and AI with professional discipline.

Optional and Legacy Tracks (3)

Take these only when your goal needs them — for example, maintaining older Microsoft applications or learning EF Core after Dapper.

Class-based duration

Class Counts — Not Full Calendar Days

  • Every track shows its estimated teaching sessions and time per class.
  • Weekends and holidays can increase the pace without removing topics or practice.
  • Recommended mixed schedule

    3 weekday classes × 90 minutes + 1 weekend lab × 120 minutes

    Best balance for college students and freshers. Weekdays build concepts; the weekend lab connects and practises them.

  • Weekday schedule

    4 classes × 90 minutes per week

    A steady pace for students with available evenings. Keep one additional day for assignments and revision.

  • Weekend schedule

    2 classes × 120–150 minutes per week

    Suitable for working learners. Each session combines explanation, demo, a short break and guided practice.

  • Holiday or college-break schedule

    Add revision, backlog or project labs—do not skip core classes

    Extra availability can shorten the calendar duration, but topic order, exercises and understanding remain unchanged.

Complete learning roadmap

Beginner → Fundamentals → Practical Development → Guided Project

  1. Phase 1

    Understand the industry

    Learn roles, requirements, application layers, environments and the terminology used by software teams.

    • Software Industry & Developer Foundation
    • Developer Tools
  2. Phase 2

    Build programming fundamentals

    Choose C# for the Microsoft path or Python for a standalone programming and introductory backend path.

    • C# & .NET Programming Foundation
    • Python Programming Foundation
  3. Phase 3

    Learn data properly

    Understand relational design and SQL before using application data-access libraries.

    • SQL Server & Database Development
    • ADO.NET & Dapper Data Access
  4. Phase 4

    Build the backend

    Create ASP.NET Core APIs with validation, Dapper, stored procedures, logging and authentication basics.

    • ASP.NET Core Development
    • Entity Framework Core — Optional Track
  5. Phase 5

    Choose one frontend

    Learn the web foundation, then choose Angular or React. You do not need both before starting your career.

    • Web Development Foundation
    • Angular UI Development or React UI Development
  6. Phase 6

    Work like a developer

    Use Git, debugging and responsible AI-assisted workflows throughout every feature.

    • Git & Source Control
    • Debugging Skills
    • Claude & Codex AI-Assisted Development
  7. Phase 7

    Complete a guided project

    Connect requirement, database, API, frontend, validation, testing, Git and final explanation.

    • Microsoft .NET Full Stack Guided Path

Track dependency map

Choose a Sequence That Matches Your Goal

  • Learn database fundamentals before using an ORM.
  • Learn web fundamentals before choosing Angular or React.

Recommended Microsoft full-stack sequence

  1. 1Industry foundation
  2. 2C#
  3. 3SQL Server
  4. 4ADO.NET + Dapper
  5. 5ASP.NET Core
  6. 6Web foundation
  7. 7Angular or React
  8. 8Guided project

Python foundation sequence

  1. 1Industry foundation
  2. 2Python
  3. 3SQL basics
  4. 4FastAPI introduction
  5. 5MongoDB optional
  6. 6Git + debugging
  7. 7Guided Python project

Legacy Microsoft support sequence

  1. 1C# foundation
  2. 2SQL Server
  3. 3VB.NET
  4. 4ASP.NET Web Forms
  5. 5ADO.NET
  6. 6Debugging

Every video lesson

Concept to Industry Usage — Not Passive Watching

  1. 1Video title
  2. 2Learning objective
  3. 3Concept explanation
  4. 4Simple example
  5. 5Real software example
  6. 6Live demo
  7. 7Student exercise
  8. 8Common fresher mistakes
  9. 9Industry terminology
  10. 10Debugging scenario
  11. 11AI learning prompt
  12. 12Assignment
  13. 13Expected student outcome

Concept → Why it matters → Simple example → Real application example → Demo → Student practice → Debugging → Industry usage

Practical lab structure

Every Lab Ends With Explanation

  1. 1

    Understand

    Read the requirement, identify terms and confirm the expected result.

  2. 2

    Follow

    Watch a small instructor demo and trace the data and control flow.

  3. 3

    Practise

    Complete a focused exercise without copying a full solution.

  4. 4

    Debug

    Investigate a seeded mistake using tools, logs and evidence.

  5. 5

    Extend

    Add one requirement to the working example independently.

  6. 6

    Explain

    Review the diff, test the result and describe what changed and why.

Final guided project

Final Guided Full-Stack Application

One realistic beginner-to-intermediate application that proves the student understands the full flow—not an oversized enterprise architecture exercise.

Project choices

  • Employee Management
  • Order Management
  • Inventory Management
  • Student Management

Backend

  • C#
  • ASP.NET Core Web API
  • Dapper
  • SQL Server
  • Stored procedures
  • JWT basics

Frontend

  • Angular or React
  • Responsive forms
  • Validation
  • API integration
  • Loading and error states

Real tools

  • Visual Studio
  • VS Code
  • SSMS
  • Postman
  • Swagger
  • Git
  • GitHub
  • Browser DevTools
  • Claude
  • Codex
  1. 1Requirement
  2. 2Database design
  3. 3Tables
  4. 4Stored procedures
  5. 5Models and DTOs
  6. 6Dapper
  7. 7API
  8. 8Postman/Swagger testing
  9. 9Frontend
  10. 10Validation
  11. 11Debugging
  12. 12Git review
  13. 13Final demo

Beginner-friendly FAQ

Questions Students Ask Before Choosing a Track

Is this curriculum suitable for complete beginners?

Yes. It starts with software-industry and programming foundations and does not assume prior framework experience.

Is Python the only good choice because AI is growing?

No. Python is valuable for AI, data, automation, testing and backend work, but software companies also hire for .NET, Java, frontend, ERP, database, cloud, DevOps, testing and support roles. Choose a target role first, then learn the complete skill combination that role requires.

Does learning Python, .NET or any single technology guarantee a job?

No. A programming language alone does not guarantee employment. Entry-level readiness also depends on fundamentals, databases, frameworks, tools, debugging, projects, communication, interview preparation and matching real openings.

Do I need to learn every track?

No. Follow the tracks required for your goal. Microsoft full-stack learners take C#, SQL, Dapper, ASP.NET Core and one frontend; Python learners can follow a separate foundation path.

Should I choose Angular or React?

Choose one first. Both tracks teach frontend fundamentals and ASP.NET Core API integration; you do not need both before applying for fresher roles.

Is Node.js taught as a backend?

No. Backend APIs use ASP.NET Core or introductory Python FastAPI. Node.js and npm appear only as the frontend tooling needed to run Angular or React projects.

Why is Dapper taught before Entity Framework Core?

The core path uses SQL, ADO.NET and Dapper so students see the database flow clearly. EF Core is available later as a separate optional track.

Does the curriculum include advanced architecture?

No. Advanced microservices, CQRS, Kubernetes, complex distributed systems and similar topics are intentionally reserved for future career tracks.

How is AI used during training?

AI helps explain, practise, plan, debug and review. Students must understand, test and explain every generated change before committing it.

Will I build a project?

Yes. The recommended path finishes with a guided full-stack application connecting requirements, SQL Server, Dapper, ASP.NET Core and Angular or React.

Build Your Foundation Before You Build Your Career

Tell us your education, current skills and goal. We’ll recommend a practical sequence without pushing advanced topics too early.