About This Course
This 5-day intensive course provides a crash course in AI. Students will learn basic Python, machine learning algorithms, and deep learning techniques, gaining hands-on project experience.
What You Will Learn
In this course, you will learn:
- Key concepts of AI and its applications in various industries.
- Basic Python programming for AI.
- Supervised learning algorithms and how to apply them to datasets.
- Basic deep learning with TensorFlow/Keras.
- Hands-on project experience and job readiness tips.
Course Curriculum
Introduction to AI
This module introduces the basics of AI, its history, applications in various industries, and ethical considerations. It also covers an introduction to Python programming for AI tasks.
🧩 Live Project:
Python Programming for AI
Students will learn the basics of Python, focusing on libraries like NumPy and pandas for data manipulation and exploration. The module includes basic coding exercises for data handling.
🧩 Live Project:
Introduction to Machine Learning
This module introduces machine learning concepts such as supervised learning, linear regression, classification, and clustering techniques. Students will use Scikit-learn for hands-on experience.
🧩 Live Project:
Deep Learning and Neural Networks
An introduction to deep learning concepts, including neural networks, activation functions, and how to use TensorFlow/Keras to build basic deep learning models.
🧩 Live Project:
Capstone Project and Job Readiness
Students will work on a small project using AI techniques learned throughout the course. The module also includes job readiness training: resume building, interview tips, and career advice for AI roles.
🧩 Live Project: