Course overview
A structured, project-led pathway into python and artificial intelligence.
Students progress from structured Python programming through data preparation, visualization, statistics and foundational machine learning. Practical work includes model evaluation, responsible use of generative AI APIs and a useful chatbot capstone grounded in real business problems.
Why this course is useful
The course connects durable foundations with current professional workflows and portfolio evidence.
How you will learn
Instructor demonstrations, guided labs, individual practice, peer review and portfolio projects.
Skills and technologies
Python programming
Apply python programming in practical work.
Data structures
Apply data structures in practical work.
Object-oriented programming
Apply object-oriented programming in practical work.
Data cleaning
Apply data cleaning in practical work.
Data visualization
Apply data visualization in practical work.
Machine-learning fundamentals
Apply machine-learning fundamentals in practical work.
Model evaluation
Apply model evaluation in practical work.
AI API integration
Apply ai api integration in practical work.
Prompt engineering
Apply prompt engineering in practical work.
Responsible AI
Apply responsible ai in practical work.
What you will achieve
- Explain the field’s core concepts
- Apply tools safely and effectively
- Plan and complete practical work
- Review quality using professional criteria
- Present a portfolio-ready final project
Full course syllabus
Projects you will build
Data cleaning project
Plan, create, review and present a complete data cleaning project.
Sales analysis dashboard
Plan, create, review and present a complete sales analysis dashboard.
Customer classification model
Plan, create, review and present a complete customer classification model.
Prediction model
Plan, create, review and present a complete prediction model.
AI-supported FAQ chatbot
Plan, create, review and present a complete ai-supported faq chatbot.
Who this is for
- Students exploring a technology career
- Beginners seeking structured practical training
- Junior practitioners strengthening foundations
- Career changers building portfolio evidence
Prerequisites
- Basic computer literacy
- A suitable laptop and internet access
- Commitment to regular guided and independent practice
Your instructor
Nisha Koirala
Data and AI Instructor
Nisha Koirala is an experienced practitioner who connects current industry delivery methods with clear, inclusive instruction.
Upcoming batches
Completion certificate
Infotraid Python and Artificial Intelligence Completion Certificate
Awarded after meeting attendance, assessment and project requirements.
Requirements include at least 80% attendance and completion of the required projects and assessments.