Available courses

This course was designed to introduce learners to modern AI-powered tools that enhance productivity, creativity, and data-driven decision-making. The training focused on practical, real-world usage of AI rather than theory, enabling students to effectively integrate AI tools into everyday academic and professional workflows.

Course Highlights:

  • Prompt Engineering with ChatGPT
    Understanding how to write effective prompts to generate accurate, relevant, and high-quality outputs for content creation, coding assistance, research, and problem-solving.

  • ChatGPT for Productivity & Automation
    Using ChatGPT to draft emails, summarize content, generate ideas, assist in programming, and automate repetitive tasks.

  • Canva with AI
    Leveraging Canva’s AI features for graphic design, presentations, social media creatives, and branding—without requiring prior design experience.

  • Microsoft Excel with AI Copilot
    Using Excel Copilot to analyze data, generate formulas, create charts, and automate data insights efficiently.

  • Power BI with AI Capabilities
    Introduction to Power BI for data visualization, dashboards, and AI-assisted insights to support business intelligence and decision-making.

Learning Outcomes:

By the end of the course, learners were able to:

  • Write effective prompts to control and optimize AI outputs

  • Use ChatGPT as a personal productivity assistant

  • Design professional visuals using AI-powered Canva tools

  • Analyze and visualize data using Excel Copilot and Power BI

  • Apply AI tools ethically and responsibly in real-world scenarios

This course emphasized hands-on demonstrations, practical assignments, and real-use cases, preparing learners to confidently use AI tools in academics, business, marketing, and technology roles.


This course provided a strong foundation in C++ programming, covering core concepts required to start building logical and efficient programs. The curriculum focused on understanding programming fundamentals, developing problem-solving skills, and writing clean, structured code.

Key topics included:

  • Introduction to C++ and program structure

  • Data types, variables, and operators

  • Conditional statements (if, else, switch)

  • Loops (for, while, do-while)

  • Functions and modular programming

  • Arrays and strings

  • Basic input/output operations

  • Concept of OOPS

The course emphasized hands-on practice, helping learners translate theory into working programs while building confidence in coding fundamentals.