An Industry–Academic Incubation Program
THDC-IHET Spiders Tech Services
Learn Python. Build Projects. Use GitHub. Think Like an Engineer.
A practical foundation for students who want to move beyond syntax and learn how real technical work is structured, built, reviewed, documented, and demonstrated.
01 learn → practice
02 build → use github
03 review → improve
04 document → demonstrate
01 / Why this program?
Knowing Python syntax is a start. This program addresses the gap between knowing individual concepts and working through a complete technical project.
The gap after syntax
Learn the tools, habits, and project practices that help technical understanding become demonstrable work.
02 / Who is this for?
This program is for students who want to learn Python seriously and understand how software projects are developed in an industry-oriented environment.
Especially for students who
Are beginners in programming.
Have basic Python knowledge but lack confidence.
Want to learn through practical implementation.
Want to understand how software projects are developed in industry.
Want to build a GitHub portfolio.
Want hands-on exposure to AI/ML.
Want to work on real-world problems.
Want to prepare for internships and future industry projects.
03 / What you’ll learn
Explore the major learning areas below. Expand each card to see the detailed areas covered.
Core language
From programming fundamentals to APIs and object-oriented programming.
Developer tools
Use the tools that make development history, collaboration, and review visible.
Technical thinking
Break down a problem, select a sensible approach, and explain your decisions.
Data foundation
Work with data in a way that leads to useful questions and insights.
Applied intelligence
Understand the foundations of selecting, training, and evaluating a model.
Build process
Bring code, data, GitHub, documentation, and presentation into one project workflow.
04 / Your 16-week journey
The journey moves from orientation and Python foundations to an industry project and a final demonstration.
Orientation · Week 0
Start with the purpose, structure, projects, and expectations.
Weeks 1–3
Build the programming base needed for the applied stages.
Weeks 4–6
Use Python to create working applications around defined problems.
Throughout
Build an industry workflow through branches, commits, issues, and Pull Requests.
Weeks 7–9
Work with real data and develop useful insights from it.
Weeks 10–12
Build and evaluate an ML model for a defined problem.
Weeks 13–15
Develop a complete project and prepare it for GitHub publication.
Week 16
Present the project, explain the approach, and demonstrate the result.
05 / What you’ll build
Each stage adds a new layer of technical ownership. The progression is designed to make the final project feel earned, understandable, and demonstrable.
Real-world programming problems.
Develop small working applications.
Work with CSV/JSON datasets and produce useful insights.
Implement an appropriate ML algorithm to solve a defined problem.
Develop a complete project and publish it on GitHub.
06 / Industry workflow
The workflow is not decorative. It is how project work becomes collaborative, reviewable, and easier to improve.
07 / Your final outcome
The program culminates in a working, documented, reviewed, and demonstrated piece of technical work.
Build a real application. Put it on GitHub. Submit a Pull Request. Document it. Present it.
Students will develop and demonstrate a working Python application to solve a real-world problem using an appropriate algorithm or ML-based approach, maintain the project on GitHub, submit a Pull Request, participate in code review, and prepare technical documentation explaining the problem, approach, implementation, testing and results.
08 / What we expect from you
Read these expectations before enrollment. The mentor will guide you, but you are responsible for building your projects.
Attend scheduled sessions and mentoring activities.
Every week should result in something tangible.
Learning happens between sessions, not only inside the classroom.
Students will maintain their work on GitHub.
Progress should be visible through development history.
Students are expected to actively engage with mentors.
Assignments and project milestones will have deadlines.
Learn to work through issues, branches, and Pull Requests.
A working project without documentation is incomplete.
The mentor will guide you, but you are responsible for building your projects.
You will be expected to:
09 / Program schedule
Three focused touchpoints keep the weekly objective, project work, and feedback loop visible.
Weekly objective + assignment + project planning
Technical doubts + debugging + GitHub + project support
Progress review + GitHub activity + feedback + next target
Detailed schedule can be published after enrollment.
10 / Orientation
Start with a shared understanding of the journey, projects, workflow, expectations, and next steps.
11 / Enrollment
Complete the enrollment form after reviewing the journey, build expectations, schedule, and orientation details.
Your response will be reviewed. New enrollments begin with pending status, and community access is controlled through approval.
Tell us about your background, motivation, and readiness for a hands-on program.
COMPLETE ENROLLMENT FORM12 / After enrollment
After successfully completing the enrollment form, eligible/enrolled students will receive access to the official WhatsApp group/community through the controlled approval flow.