6 Months

Professional Foundation Program in AI, ML & Generative AI

From AI Awareness to AI Application and Career Readiness.

48 Hours
Hybrid: online concept/lab sessions with offline workshops, reviews and demo day
University students, final-year learners, early professionals, innovation cell members and placement-focused students

Program Overview

The six-month Professional Foundation Program in AI, ML & Generative AI is designed as a structured, career-oriented learning journey for university students and early professionals.

Course Structure

Week/MonthModuleDurationKey LearningOutput
Month 1 Introduction to AI, AI tools, prompt engineering, responsible AI Personal AI Productivity Portfolio
Month 2 Python, Pandas, NumPy, data cleaning, visualization, statistics Student Performance Analytics Dashboard
Month 3 ML concepts, supervised learning, unsupervised learning, model evaluation One ML prediction or classification model
Month 4 Deep learning basics, NLP, computer vision and domain applications NLP/CV prototype such as sentiment analyzer or image classifier
Month 5 LLMs, APIs, embeddings, RAG, AI agents and automation University AI Assistant Prototype
Month 6 Capstone development, product thinking, career preparation and demo day Final capstone, GitHub/portfolio, presentation and demo

Recommended Class Schedule

Week/MonthModeSession DurationSuggested Day

Assessment Structure

ComponentWeightageDescription
Attendance and participation 10%
Monthly assignments and lab submissions 25%
ML model and NLP/CV prototype 20%
University AI Assistant prototype 15%
Final capstone project, presentation and demo 25%
Portfolio, GitHub/LinkedIn readiness and reflection 5%

Certificate

Professional Certificate in AI, ML & Generative AI Foundation