Python Programming Internship
Job description
This is a remote position.
By the end of the program, participants will have developed solid coding skills, contributed to multiple individual and group projects, and built a professional portfolio that reflects their ability to design, implement, and optimize Python-based solutions.Your progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable. During the program, you will learnalongside innovative and inspiring leaders through mentorship and gain valuable experience working on real-life solutions while also acquiring some work-ready, soft-skills along the way.
Also, While this is a remote tech-training program, Interns accepted and participating under the SIWES or NYSC categories are expected on-site during the period of their placement with respect to the requirements as stipulated by the Industrial Trust Fund (ITF) and National Youth Service Corps (NYSC)therefore,ensure you select the appropriate Internship category.
Requirements
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Interest & Commitment
A strong interest in programming, technology, or problem-solving.
Willingness to commit approximately 10–15 hours per week for the entire 4-month duration.
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Basic Computer Skills
Comfort with using a computer, navigating folders, and installing software.
No prior coding experience is required;beginners are welcome. However, basic programming knowledge is an advantage.
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Technical Access
A functional laptop or desktop computer.
Reliable internet connection for virtual learning and collaboration.
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Educational Background
Open to students, graduates and early-career professionals in any field (STEM background not mandatory).
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Growth Mindset
A passion for learning, teamwork and continuous improvement.
Readiness to engage in hands-on coding and project-based work.
Benefits
Participants in this training internship will gain:
Structured Learning Pathway: Progressive 3-phase curriculum from beginner to advanced.
Hands-on Experience: Weekly coding challenges and real-world projects.
Mentorship: Access to experienced developers and peer learning groups.
Portfolio Development: Build a GitHub-based portfolio with professional-level code samples.
Certification: Receive a completion certificate after meeting performance and project requirements.
Career Readiness: Gain foundational skills for entry-level roles in software development, data analysis, or AI/ML fields.
Originally posted on Himalayas