Python Programming Internship
Indexed description
This is a remote position.
The FlexiSAF Internship Program is open to dynamic, creative and energetic people seeking to gain tech skills in Software Development. You will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost.ThisPython Programming Training Internshipis a structured, project-driven learning experience designed to help aspiring developers, students and early-career professionals build strong technical foundations in Python programming and software problem-solving.The program takes participants through aprogressive three-phase journey;from beginner, through intermediate, to advanced, with each stage blendinghands-on learning,collaborative exercisesandreal-world projectsrelevant to emerging tech domains such asdata science,AI/ML, andautomation.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.
Finally it is open to students seeking SIWES placements, recent graduates seeking NYSC placement, Graduates seeking Post-NYSC experience and students seeking industry experience or anyone interested in upskilling and starting a career in tech.NOTE: This is not a PAID opportunity therefore, payment as stipends to cover data allowance and other needs are not available for participants at this timewith an EXCEPTION of Youth Corp Members. Every participant is expected to have a working laptop and access to data to allow FULL participation including progress tracking at different times throughout the cohort.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.Visithttps://flexisaf.com/python-programming-training-internship/for more information on this training.
Requirements
Interested Participants should meet the following minimum requirements to apply: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.
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.
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
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