Overview
Gain practical exposure to artificial intelligence and machine learning concepts through structured remote projects and hands-on assignments. Develop skills in data analysis, model development, and AI-driven problem-solving techniques.
Skills covered
- Python Programming
- Data Visualization
- Prompt Engineering
- Research & Documentation
Tools used
- Python
- VS Code
- GitHub
- Google Colab
Project structure
The Internship is structured into three progressive phases, designed to align with current industry requirements and future market trends.
● Phase 1 – Foundation: Focuses on building the core skills, tools, and knowledge currently expected from Data Analysts in the job market.
● Phase 2 – Advanced Development: Introduces advanced techniques, real-world applications, and emerging technologies to enhance analytical capabilities and career growth.
● Phase 3 – Professional Integration: Combines the learnings from the previous phases with practical projects, business-focused tasks, and industry scenarios to develop comprehensive, job-ready expertise.
Certification
Certificate issued with the participant's name, internship title, internship duration, and domain specialization upon successful completion of the program. Only of the internship is completed with in the duriation
