3 Months

Applied AI & Generative AI Foundation Program

A 27-hour practical AI learning journey covering AI concepts, prompt engineering, Python, data handling, ML basics, GenAI workflows, AI agents and capstone project development.

27 Hours
Hybrid: Online + Offline/Workshop Sessions
University students, fresh graduates and early professionals from technical and non-technical streams

Program Overview

The Three-Month Applied AI & Generative AI Foundation Program is designed as a practical bridge between basic AI awareness and deeper professional AI learning.

Course Structure

Week/MonthModuleDurationKey LearningOutput
Week 1 AI World Overview AI, ML, DL, GenAI, LLMs, computer vision, NLP, robotics, AI agents Identify 10 AI use cases in student domain
Week 2 Prompt Engineering Prompt structure, role-based prompting, few-shot prompting, evaluation Create 20 reusable prompts
Week 3 AI Productivity Tools AI for documents, slides, email, data, coding, design and research Create a complete academic assignment with verification
Week 4 Responsible AI Bias, hallucination, privacy, copyright, plagiarism and ethical AI Compare AI answers with verified sources
Week 5 Python for AI Variables, loops, functions, lists, dictionaries, files and APIs Student marks analyzer
Week 6 Data Handling Excel, CSV, Pandas, data cleaning, filtering, grouping and charts Analyze student performance data
Week 7 Statistics for AI Mean, median, standard deviation, correlation, probability and trends Attendance vs marks analysis
Week 8 Machine Learning Basics Supervised, unsupervised, classification, regression and clustering Basic prediction model
Week 9 NLP and Chatbots Text classification, sentiment analysis, FAQ logic and embeddings basics University FAQ chatbot flow
Week 10 GenAI Application Development LLM APIs, no-code/low-code apps, document Q&A and RAG basics Document Q&A assistant
Week 11 AI Agents and Automation Agentic AI, workflows, department assistants and automation design AI agent design for one department
Week 12 Capstone Project Prototype development, demo and presentation Final project presentation

Recommended Class Schedule

Week/MonthModeSession DurationSuggested Day

Assessment Structure

ComponentWeightageDescription
Attendance and participation 10% Regular participation in weekly sessions and discussions
Weekly lab submissions 30% Submission of weekly outputs such as prompts, use cases, Python exercise, data analysis and chatbot flow
Prompt engineering and AI productivity portfolio 15% Quality of reusable prompts and academic/career output
Python, data and ML assignments 20% Marks analyzer, data handling, statistics analysis and basic prediction model
Responsible AI assignment 10% Verification exercise and responsible AI reflection
Capstone project and presentation 15% Final prototype/demo and structured presentation

Certificate

Applied AI & Generative AI Foundation Program Certificate

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