🔵 Artificial Intelligence (AI) Course for First-Year Computer Science Students

Learn AI. Build Projects. Stand Out in Co-op Interviews.

🚀 Why Take This Course?

Artificial Intelligence is transforming every industry—from healthcare to finance to entertainment. If you’re a first-year student in Computer Science or Engineering, this is the perfect time to start your journey into AI.

This beginner-friendly course teaches you how AI really works, using Python and real-world tools like scikit-learn, Pandas, and OpenAI. You’ll build resume-worthy projects, gain hands-on experience with AI models, and confidently talk about AI in co-op interviews.

📘 What You’ll Learn

✅ AI & Machine Learning Fundamentals

What is AI, Machine Learning, and Deep Learning?
Learn about supervised learning, classification, and regression
Real-world AI applications: Netflix, ChatGPT, Tesla, Spotify

✅ Python for AI

Hands-on Python coding with Google Colab & Jupyter Notebooks
Work with real datasets using Pandas & Numpy

✅ Machine Learning with Scikit-Learn

Train ML models to predict outcomes
Algorithms: Linear Regression, Decision Trees, K-Nearest Neighbors
Evaluate models with accuracy, confusion matrix, and more

✅ Natural Language Processing (NLP)

Understand and analyze text using NLP techniques
Perform sentiment analysis and build basic AI chatbots

✅ OpenAI & ChatGPT APIs

Use Generative AI (ChatGPT) in your own applications
Build interactive Q&A bots or auto-responders

✅ AI Projects You’ll Build

Movie Recommendation System
Fake News Detector
Spam Classifier
Sentiment Analyzer
Handwritten Digit Recognizer

✅ Interview & Resume Preparation

Showcase AI projects on GitHub
Learn how to explain AI concepts in interviews
Optimize your LinkedIn and resume for co-op job search

🎯 Who Should Take This Course?

This course is ideal for:

First-year university students in Computer Science or Engineering
Students preparing for internships/co-op placements
Anyone curious about AI, machine learning, or building smart applications
Beginners with basic knowledge of Python (or strong interest to learn)

🧑‍💻 Course Format

Duration: 6 weeks (2 hours/week + projects)
Mode: Live Online / In-Person (check schedule)
Tools: Python, Google Colab, GitHub

🎓 What You’ll Walk Away With

Practical knowledge of core AI tools & models
A strong GitHub portfolio with 3–4 AI projects
A professional resume and LinkedIn profile optimized for co-op roles
Confidence to talk about AI in interviews or hackathons

📅 Next Batch Starts: 15 July

Spots are limited. Enroll early and start building your AI future today.