A foundational program for learning AI: from basics to agentic AI

Curriculum Overview

Unit 1: Python and Machine Learning Foundations (Weeks 1- 8)

Week 1: Introduction to Python

Week 2: Control flow, logic, functions, data structures

Week 3: NumPy

Week 4: Pandas

Week 5: Data Visualization

Week 6: AI/ML Fundamentals: Supervised Learning

Week 7: AI/ML Fundamentals: Unsupervised Learning & Clustering

Week 8. Review of Unit 1

Unit 2: Deep Learning Foundations (Weeks 9- 14)

Week 9: Neural network fundamentals

Week 10: Keras

Week 11: Advanced deep learning

Week 12: Convolution Neural Networks (CNN)

Week 13: Recurrent Neural Networks (RNNs)

Week 14: Review of Unit 2

Unit 3: Natural Language Processing & Large Language Models (LLMs) (Weeks 15-20)

Week 15: Natural Language Processing fundamentals

Week 16: Word embeddings

Week 17: Transformers and LLMs

Week 18: Prompt Engineering & Fine-Tuning

Week 19: Tool Use & API Integration

Week 20: Generative AI Unit Project

Unit 4: Agentic AI Development (Weeks 21 – 24)

Week 17: Intro to AI agents (LangChain basics)

Week 18: LangChain agents

Week 19: Tools and memory

Week 20: Multi-agent systems

Unit 5: Capstone project (Weeks 25 – 28)

Unit 6: ADD-ON Module: Research Publication (Weeks 29 – 32)

Unit 7: ADD-ON Module: AI Product Development (Weeks 33 – 36)

Unit 8: ADD-ON Module: Entrepreneurship – Business plan/Pitch (Weeks 37 – 40)

Program Outcomes

Strong GitHub portfolio.
Build your strong GitHub portfolio featuring 23 mini projects and 1 capstone project, showcasing growth from beginner Python games to advanced AI agents. Sample mini-projects: Mad Libs generator, a Tic-Tac-Toe, a Tweet Sentiment Analyzer, Recipe Finder Bot, etc. Sample major projects: Facial Emotion Detector (CNN), Time Series Predictor (RNN)
AI Coach Bot (LLM + API integration), Travel Planner Agent.
Build live demo and apps.
Live demos & apps deployed on Streamlit or Hugging Face Spaces for friends and family to try.
Add-on modules.
Option to add-on modules to continue working on the student’s own advanced AI/ML project and get it ready for pitch, publication, or web app development, strengthening the portfolio for future internships, college applications, etc..
Digital Certificate of Completion.
Earn a certificate that showcases your expertise in AI, applied research, and entrepreneurial skills.