£9.99
per month
Video
Jul 2025
12hrs 41mins
1st Edition
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Comprehensive coverage of Python programming tailored for AI applications and development
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Deep dive into essential data science tools, preparing you to manipulate and visualize data efficiently
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In-depth exploration of core AI mathematics, enabling better model development and understanding
The course begins with Python Programming Basics for Artificial Intelligence, focusing on essential programming concepts like loops, functions, and data structures. You'll write clean Python code, preparing you to develop practical AI applications. The journey continues with data science essentials, where you'll explore tools such as Pandas, NumPy, and Matplotlib for data manipulation, cleaning, and visualization, critical skills for any AI engineer.
Next, the course delves into the mathematics that underpin machine learning and AI, breaking down linear algebra, calculus, probability, and statistics in an intuitive and practical manner. You'll apply these mathematical concepts to build stronger analytical skills, enabling you to better understand and create AI models. The final phase introduces machine learning, where you will learn algorithms like linear regression, logistic regression, and k-NN using Scikit-learn. You'll gain hands-on experience building and evaluating models.
Throughout the course, you’ll work on projects and exercises that reinforce the concepts you learn, preparing you for a successful career in AI. Whether you're looking to become a machine learning engineer, data scientist, or AI developer, this course will equip you with the skills to advance in the field of artificial intelligence.
This course is ideal for individuals looking to enter the AI industry, including students, career changers, and tech enthusiasts. It’s designed for those who are new to AI and programming, offering a structured, beginner-friendly approach. If you’re interested in machine learning, data science, or AI applications, this course provides the solid foundation you need to start your journey in the AI field.
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Develop Python programming skills for AI applications and solutions
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Analyze and visualize datasets with Pandas, NumPy, and Matplotlib
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Understand and apply linear algebra, calculus, and probability concepts
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Build and implement machine learning models using Scikit-learn
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Work with data cleaning, preparation, and exploratory data analysis
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Gain practical experience through real-world AI projects and exercises