Engineering
AI/ML Basics
Master the fundamentals of AI and Machine Learning to build smart projects and kickstart your career in India's booming tech industry with hands-on practice.
Instructor: Priya Sharma
About this course
This comprehensive course introduces you to the world of AI and Machine Learning, starting from the foundational pillars of Python programming and data handling. You will dive deep into both supervised and unsupervised learning algorithms, exploring how machines perceive data to make intelligent, automated decisions. Designed specifically for Indian engineering students, this course bridges the gap between university theory and modern industry requirements. Whether you are a beginner looking to understand neural networks or an aspiring data scientist aiming to win hackathons, this program provides the practical guidance needed to excel in high-paying campus placements. By the end of this course, you will be proficient in using industry-standard libraries like NumPy, Pandas, and Scikit-Learn to solve real-world problems. You will be able to build, train, and deploy your own predictive models, giving you a significant competitive edge in the global technology landscape.
What you'll cover
- 1Introduction to AI and ML Ecosystem
- 2Python Essentials for Data Science
- 3Data Manipulation with NumPy and Pandas
- 4Data Visualization with Matplotlib
- 5Foundational Mathematics for ML
- 6Linear and Logistic Regression
- 7Decision Trees and Random Forests
- 8K-Nearest Neighbors and SVMs
- 9Clustering and Dimensionality Reduction
- 10Introduction to Deep Learning and Neural Networks
- 11Model Evaluation and Hyperparameter Tuning
- 12Capstone Project: End-to-End ML Deployment