Internship Description

Are you curious about Artificial Intelligence (AI) and Machine Learning (ML) and eager to dive into the world of data science? Look no further! Our "Introduction to AI & ML using Python" internship is designed to equip you with the fundamental knowledge and practical skills needed to kickstart your journey into the exciting field of AI and ML.

Over the course of 15 immersive hours, you will embark on a comprehensive learning journey, starting from the basics and gradually advancing to more complex concepts. Led by experienced instructors, this internship combines theoretical discussions with hands-on coding exercises to ensure a well-rounded understanding of AI & ML principles and their implementation in Python

What you'll learn

• Participants will learn the fundamentals of programming, including Python basics such as variables, data types, operators, and data structures like lists, tuples, dictionaries, and sets.
• Participants will delve into Python for Machine Learning, covering data pre-processing techniques and an introduction to supervised learning techniques like regression.
• Participants will explore Linear Regression, Classification, Logistic Regression, as well as algorithms like kNN, SVM, Decision Trees, Random Forest, Naive Bayes, Unsupervised Learning Techniques, Clustering (kMeans, Agglomerative Clustering), and Dimensionality Reduction.
• Participants will be introduced to Artificial Neural Networks, Computer Vision, Natural Language Processing, and Big Data Analytics applications.
• Participants will learn about Deep Learning, software used for AI applications, the Social Impacts of AI, and will engage in a Project Presentation.

Who Should Attend:

• Students interested in exploring the field of Artificial Intelligence and Machine Learning.
• Professionals seeking to enhance their skills in AI and ML.
• Enthusiasts passionate about learning Python programming and its applications in AI and ML.
• Anyone with a curiosity for understanding the foundations of AI and ML and their practical implementations.

No prior experience in AI or ML is required. All levels of learners are welcome!