This course is designed to introduce students and job seekers to the fundamentals of Artificial Intelligence (AI) and prepare them for industry roles. It covers Python programming, machine learning, deep learning, and hands-on project work to make them job-ready.
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5,200+ students
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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.
Course Description
This course is designed to introduce students and job seekers to the fundamentals of Artificial Intelligence (AI) and prepare them for industry roles. It covers Python programming, machine learning, deep learning, and hands-on project work to make them job-ready.
What You'll 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 Requirements
No prior experience in programming or AI is required. Basic understanding of mathematics and statistics will be helpful.
A computer with internet access
No prior programming experience needed (we'll start from scratch)
Dedication to complete the course and practice regularly
Modern web browser (Chrome, Firefox, or Edge recommended)
Who This Course Is For
Aspiring web developers looking to start a career
Programmers from other fields wanting to learn web dev
Entrepreneurs wanting to build their own websites
Students studying computer science or related fields
Course Schedule
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.
Live Project:
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.
Live Project:
Industry-Specific Applications of AI
Explore case studies of AI applications in industries such as healthcare, finance, and e-commerce.
Live Project:
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.
Live Project:
Rs. 299.99299.99
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12
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Frequently Asked Questions
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish. You'll have full access to all course materials immediately after enrollment, including all future updates.
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own. This includes all future updates and additional materials that may be added to the course.
We would never want you to be unhappy! If you're unsatisfied with your purchase, contact us in the first 30 days and we'll give you a full refund, no questions asked.
No prior programming experience is needed! This course is designed for complete beginners while also being comprehensive enough for more experienced developers looking to fill gaps in their knowledge.
Yes! Upon completing all course modules and passing the final project assessment, you'll receive a certificate of completion that you can download and share with your professional network or include in your resume/portfolio.