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Professional Foundation Program in AI, ML & Generative AI

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Chhatrapati Shahu Ji Maharaj University, Kanpur

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6 Months

Professional Foundation Program in AI, ML & Generative AI

From AI Awareness to AI Application and Career Readiness.

60 Hours
Online Classes
University students, final-year learners, early professionals, innovation cell members and placement-focused students
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Program Overview

The Professional Foundation Program in AI, ML & Generative AI is a six-month career-focused learning journey designed for university students, final-year learners, and early professionals who want to build practical AI capability beyond basic awareness. The program covers Python, data analytics, machine learning, deep learning fundamentals, NLP, computer vision, Generative AI, LLMs, RAG, AI agents, and automation through structured hands-on learning. Participants work on practical labs, guided assignments, and progressively advanced projects that help them understand how AI is applied in real-world academic and industry scenarios. The program also emphasizes responsible AI, problem-solving, product thinking, and portfolio development. By the end of the course, learners complete a capstone project and professional AI portfolio that can support internships, placements, higher studies, research, or entrepreneurial opportunities.

Course Structure

Week/MonthModuleDurationKey LearningOutput
Month 1 Introduction to AI, AI tools, prompt engineering, responsible AI 12 hrs Personal AI Productivity Portfolio
Month 2 Python, Pandas, NumPy, data cleaning, visualization, statistics 12 hrs Student Performance Analytics Dashboard
Month 3 ML concepts, supervised learning, unsupervised learning, model evaluation 12 hrs One ML prediction or classification model
Month 4 Deep learning basics, NLP, computer vision and domain applications 8 hrs NLP/CV prototype such as sentiment analyzer or image classifier
Month 5 LLMs, APIs, embeddings, RAG, AI agents and automation 8 hrs University AI Assistant Prototype
Month 6 Capstone development, product thinking, career preparation and demo day 8 hrs Final capstone, GitHub/portfolio, presentation and demo

Class Schedule

Week/Month/DayDateTimeModeSession DurationDay
Month 1 - Online 12 hrs Saturday/Sunday
Month 2 - Online 12 hrs Saturday/Sunday
Month 3 - Online 12 hrs Saturday/Sunday
Month 4 - Online 8 hrs Saturday/Sunday
Month 5 - Online 8 hrs Saturday/Sunday
Month 6 - Online 8 hrs Saturday/Sunday

Assessment Structure

ComponentWeightageDescription
Attendance and participation 10% Regular attendance, active participation, and engagement in discussions, labs, and mentor-led sessions.
Monthly assignments and lab submissions 25% Evaluation of practical exercises, assignments, and lab work completed throughout the program.
ML model and NLP/CV prototype 20% Assessment of the learner’s ability to build and demonstrate a basic machine learning model or NLP/Computer Vision prototype.
University AI Assistant prototype 15% A practical prototype demonstrating how AI can solve a real university, academic, or administrative use case.
Final capstone project, presentation and demo 25% End-to-end project combining course concepts into a practical solution, followed by presentation and live demonstration.
Portfolio, GitHub/LinkedIn readiness and reflection 5% Review of the learner’s project portfolio, professional profile readiness, and reflection on skills developed during the program.

Certificate

Professional Certificate in AI, ML & Generative AI Foundation

MSTA Sample Certificate of Completion

Online Classroom

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₹20,500