Python Programming Internship
Job Summary
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 learn alongside 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.
Interest & Commitment
A strong interest in programming technology or problem-solving.
Willingness to commit approximately 1015 hours per week for the entire 4-month duration.
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.
Technical Access
A functional laptop or desktop computer.
Reliable internet connection for virtual learning and collaboration.
Educational Background
Open to students graduates and early-career professionals in any field (STEM background not mandatory).
Growth Mindset
A passion for learning teamwork and continuous improvement.
Readiness to engage in hands-on coding and project-based work.
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.
Required Skills:
Basic working knowledge of Java; understanding of Back End Development frameworks such as Spring Flyway Quarkus is not mandatory for beginners. Interest and basic skills in Machine Learning Artificial Intelligence is an added advantage Be analytical and possess mathematics skills. Excellent Organization Skills. Accountable via set metrics and performance indicators. Excellent Time Management Skills. Resourceful troubleshooting aptitude while being result-oriented. Open to learning. The Ability to work with a team is important. Apply knowledge gained in computer science or software engineering related courses to real-world challenges.
Required Education:
Minimum Qualification : High School (S.S.C.E)