About This Course
This course provides a comprehensive introduction to AI, including machine learning, deep learning, and hands-on projects, preparing students for job roles in AI-related fields.
What You Will Learn
In this course, you will learn:
- Basic Python programming and essential libraries for AI.
- Introduction to data science and machine learning.
- Hands-on with deep learning algorithms and frameworks like TensorFlow/Keras.
- Practical projects simulating real-world problems.
- Job readiness skills for AI roles.
Course Curriculum
Introduction to AI
An overview of AI, its applications, ethical considerations, and societal impact. Students will learn the fundamental concepts and terminologies in AI.
🧩 Live Project:
Python Programming for AI
This module covers Python programming basics: variables, loops, functions, and essential libraries for AI such as NumPy, pandas, and Matplotlib.
🧩 Live Project:
Introduction to Data Science
Students will explore the different types of data, data cleaning, preprocessing, exploration, and visualization techniques using libraries like Matplotlib and Seaborn.
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Introduction to Machine Learning
This module introduces students to supervised and unsupervised learning, key algorithms such as Linear Regression, Decision Trees, and Support Vector Machines.
🧩 Live Project:
Deep Learning Basics
An introduction to neural networks, activation functions, backpropagation, and basic deep learning models using TensorFlow/Keras.
🧩 Live Project:
AI Tools and Platforms
Learn about industry-standard tools and platforms such as TensorFlow, PyTorch, Scikit-Learn, and deploying AI models using cloud platforms like AWS or GCP.
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Industry-Specific Applications of AI
Explore case studies of AI applications in industries such as healthcare, finance, and e-commerce.
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Project Work and Capstone
Students will work on a hands-on capstone project simulating a real-world problem, applying the skills learned in the previous modules.
🧩 Live Project:
Job Readiness Skills
This module prepares students for AI job roles, including resume building, interview preparation, LinkedIn profile optimization, and soft skills.
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