The Python Programming Training Internship is a 36-week, cohort-based learning experience designed to transform absolute beginners into confident, job-ready Python developers.
This isn’t just a coding course, it is an applied learning experience that helps you think, build, and solve problems like a developer. Each stage of the program strengthens your foundation while providing opportunities to apply knowledge through hands-on projects and teamwork.
By the end of the program, participants will:
This program is perfect for anyone ready to commit to an engaging, supportive, and career-shaping journey into the world of Python programming.
Progress confidently from beginner to advanced levels with clear milestones and outcomes.
Build three complete projects that demonstrate your technical growth and problem-solving skills.
Learn tools and libraries widely used in real software, data, and AI environments.
Get guidance from experienced mentors and collaborate with other learners in your cohort.
Graduate with a verified certificate and a GitHub portfolio showcasing your completed projects.
Gain skills aligned with early-career roles in Python development, automation, and data analytics.
This program is ideal for motivated individuals who are passionate about learning Python and building a foundation for a career in software development, automation, or AI-driven technologies.
You should apply if you are:
No prior programming experience is required; just commitment, curiosity, and consistency.
The entire program is divided into three learning stages where participants are accepted based on their current knowledge and experience. Participants will learn the following within 4 months of enrollment in the program across the different stages:
Four months (Beginner): Python basics, control flow, functions, data structures, and object-oriented programming fundamentals. Develop a simple command-line or mini-application demonstrating fundamental Python concepts.
Four months (Intermediate): Working with libraries (NumPy, Pandas), APIs, data visualization, and version control using Git/GitHub. Build a data-driven project such as a dashboard or analytics tool integrating external data sources.
Four months (Advanced): Automation, scripting, machine learning workflows, and backend or AI-based applications. Complete an end-to-end AI or automation project that demonstrates independent problem-solving and scalability.
Each phase combines self-learning structure, weekly assignments, mentorship to ensure participants build tangible and demonstrable skills.
Our brilliant curriculum caters for all aspects of Python Programming, enough to inspire the most phenomenal learners.