AI Foundations for Students and Beginners
For College students, beginners, and entry-level professionals
Skills you will gain:
This course, AI Foundations for Students and Beginners, is an 8-week program that provides a solid introduction to artificial intelligence (AI). It is perfect for students or those starting out, who want to understand AI concepts, machine learning (ML), and learn programming using Python. By the end, learners will have the skills to apply AI in real-world situations.
Aim:
Program Objectives:
What you will learn?
Module 1: Machine Learning and AI Basics (2 Weeks)
- Intro to AI, its branches (ML, Deep Learning, NLP)
- How AI is used in industries
- Key concepts: supervised vs unsupervised learning, classification, regression
- Simple AI models using Python and Scikit-learn
- Case studies from different industries
Module 2: Python Programming for AI (2 Weeks)
- Learn Python basics for AI programming
- Setting up Python and Jupyter Notebooks
- Python basics: data types, loops, functions
- Introduction to NumPy and Pandas for data manipulation
- Coding exercises to get comfortable
Module 3: Natural Language Processing (NLP) (2 Weeks)
- Understanding NLP and how machines process language
- Working with text data and preprocessing
- Basic NLP models: tokenization, stemming, lemmatization
- Using libraries like NLTK and spaCy
- Project: Analyze customer reviews with sentiment analysis
Module 4: Scikit-learn for Machine Learning (2 Weeks)
- Introduction to Scikit-learn
- Building models like Decision Trees, K-Nearest Neighbors, and Linear Regression
- Measuring performance with accuracy, precision, recall
- Project: Predict student performance based on previous data
Information:
Tools and Technologies
You’ll work with:
- Python
- Jupyter Notebooks
- Scikit-learn
- NumPy and Pandas
- NLTK and spaCy (for NLP tasks)
Intended For :
- College students keen on starting a career in AI.
- Beginners or entry-level professionals wanting to understand AI basics.
- Anyone seeking hands-on experience with Python and ML.
- People interested in real-world AI applications.
Career Supporting Skills
