Summer Internship 2026

Generative AI and Data Analytics Internship Programs

Explore two immersive internship programs designed for emerging tech talent. Choose the Generative AI program for modern AI content and automation, or the Data Analytics program for hands-on analysis, visualization, and business reporting.

Enroll Now Back to Home
Generative AI 30–45 Days Practical AI Projects

Generative AI Internship Roadmap

Build real AI applications with prompt engineering, LLMs, automation, and deployment. This track combines learning with practical projects that mirror a modern edtech experience.

Weekly learning plan

AI fundamentals, Python basics, Jupyter notebooks, and API workflows. Practical tasks include writing Python programs, using AI tools, and understanding workflows.

Prompt engineering, LLMs like ChatGPT/Gemini, AI ethics, and productivity tools. Practical tasks include writing optimized prompts, generating AI content, and automating tasks.

OpenAI/Gemini APIs, text summarization, image generation, and AI automation. Practical tasks include API integration, building AI tools, and automation workflows.

Chatbots, AI agents, sentiment analysis, and deployment basics. Practical tasks include creating chatbots, AI integrations, and sentiment-analysis workflows.

Capstone project, testing, documentation, and presentation. Deploy a final AI application and present your completed work.

  • AI Text Generator for blogs, captions, emails.
  • Smart FAQ Bot and customer support chatbots.
  • Resume Analyzer and image caption generation.
  • Social media sentiment analysis and business automation.
Enroll in Generative AI
Data Analytics 30–45 Days Data-driven projects

Data Analytics Internship Roadmap

Build strong analytics skills with Excel, Python, SQL, dashboards, and predictive insights. This track is perfect for learners who want to turn data into business decisions.

Weekly learning plan

Foundations of Data Analytics, data types, Excel/Google Sheets, Python basics, Pandas, NumPy, and dataset cleaning. Practical tasks include cleaning datasets and analyzing student performance and attendance.

SQL queries, SELECT, WHERE, GROUP BY, JOIN, and database concepts. Practical tasks include writing SQL queries and building reports for restaurant sales and employee attendance.

Data visualization with Power BI/Tableau, KPI dashboards, charts, and storytelling. Practical tasks include building dashboards for business performance and healthcare analytics.

Exploratory Data Analysis, statistics basics, predictive analytics, and reporting automation. Practical tasks include trend analysis and creating predictive reports for customers and finance.

Final dashboard development, reporting, documentation, and presentation. Practical tasks include implementing an e-commerce analytics dashboard or HR analytics system.

  • Student performance and attendance analysis projects.
  • Sales and restaurant analytics with SQL-based reports.
  • Power BI/Tableau dashboards for business performance.
  • Predictive insights for customer behavior and financial performance.
Enroll in Data Analytics