NYINST LMS

AI & ML Foundations: A Beginner’s Guide with Python

About Course

Unlock the potential of Artificial Intelligence and Machine Learning with “AI & ML Foundations: A Beginner’s Guide with Python.” This comprehensive course is designed for individuals who are eager to delve into the world of AI and ML but may have little to no prior experience. Whether you’re a student, a professional looking to transition into a tech career, or simply a curious learner, this course will provide you with a solid foundation in these cutting-edge technologies.

Course Overview:

In this introductory course, you will embark on a journey to understand the core concepts and principles of AI and Machine Learning. Using the versatile and popular programming language Python, you will learn how to develop simple models and algorithms that form the basis of intelligent systems. The course covers essential topics such as data preprocessing, supervised and unsupervised learning, neural networks, and model evaluation.

Key Learning Outcomes:

  • Grasp the Basics: Develop a clear understanding of what Artificial Intelligence and Machine Learning are, and how they are applied in various industries today.
  • Python Programming: Gain proficiency in Python, focusing on libraries and tools critical for AI and ML, such as NumPy, Pandas, Matplotlib, and Scikit-learn.
  • Data Handling: Learn to collect, clean, and preprocess data to ensure it is ready for analysis and model building.
  • Model Building: Understand the process of building and training simple machine learning models, including linear regression, decision trees, and clustering algorithms.
  • Neural Networks Introduction: Get an introductory glimpse into neural networks and understand their basic workings.
  • Evaluation Techniques: Master the techniques for evaluating the performance of your models and understand how to improve them.

Target Audience:

This course is tailored for beginners who are excited about AI and ML but may lack a technical background. It is perfect for students, educators, professionals from non-technical fields, and anyone interested in starting a career in data science or technology. No prior programming experience is required, as the course will guide you through the essentials of Python necessary for building AI and ML projects.

Join us on this exciting path to becoming proficient in AI and ML, and take the first step towards a future in technology with confidence and competence.

Course Content

Introduction to AI & ML: Concepts and Applications

  • What is Artificial Intelligence?
  • Understanding Machine Learning
  • Applications of AI and ML
  • Quiz: Basic Concepts of AI & ML
  • Research Assignment: Current Trends in AI & ML

Python Programming Essentials for AI & ML

Supervised Learning: Basic Techniques and Algorithms

Unsupervised Learning: Clustering and Dimensionality Reduction

Course Summary and Future Directions in AI & ML

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Student Ratings & Reviews

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Ashwath M Shetty
3 weeks ago
Excellent
Jayapradhap B
4 weeks ago
its really very useful!

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