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12 Weeks – AI & Machine Learning with Python Internship

Learn withSuvsoft

7 modules

English

Certificate of completion

Lifetime access

"Unlock Your Potential with Hands-On Java Coding Experience in Just 12 Weeks!"

Overview

In this 12-week internship program, you will delve into the fascinating realms of Artificial Intelligence (AI) and Machine Learning using the versatile programming language, Python. Through a comprehensive curriculum designed to equip you with practical skills and theoretical knowledge, you will embark on a transformative learning journey. Throughout the course, you will learn the fundamentals of AI and Machine Learning, including important concepts such as supervised and unsupervised learning, neural networks, natural language processing, and more. Hands-on projects and real-world applications will allow you to apply your knowledge in a practical setting, enhancing your problem-solving abilities and technical proficiency. Under the guidance of experienced instructors, you will work on various AI and Machine Learning projects, sharpening your Python programming skills and gaining valuable industry insights. By the end of the internship, you will have developed a solid foundation in AI and Machine Learning, positioning you as a competitive candidate in the ever-evolving tech industry. Whether you are a student looking to expand your skill set or a professional aiming to transition into the field of AI and Machine Learning, this internship offers a structured learning experience that will empower you to excel in this cutting-edge field. Join us for 12 weeks of immersive learning, collaboration, and growth as you explore the possibilities of AI and Machine Learning with Python.

Key Highlights

Hands-on experience with Python programming

Understanding AI and Machine Learning concepts

Building predictive models using popular libraries

Working on real-world projects and datasets

Mastering data preprocessing and feature engineering

Exploring deep learning and neural networks

Optimizing model performance and accuracy

Developing a portfolio for future job opportunities

What you will learn

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Introduction to AI & Machine Learning

Learn the basics of artificial intelligence and machine learning concepts using Python



Data Preprocessing

Understand how to preprocess data for machine learning models effectively



Supervised Learning Algorithms

Explore various supervised learning algorithms such as Regression, Classification, and more

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Unsupervised Learning Techniques

Discover techniques like Clustering, Dimensionality Reduction, and Anomaly Detection in unsupervised learning



Model Evaluation and Validation

Learn how to evaluate and validate machine learning models for accuracy and performance

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Projects and Internship Experience

Apply the knowledge gained in real-world projects and gain valuable internship experience in AI and ML using Python

Modules

Week 1–2: Introduction to Python Programming

6 attachments • 54.58 mins

Basic Concept of Python

Variables

Data Types

Operators in Python

Input/Output Programs

QUIZ-1

Week 3–4: Advanced Python & OOPS

7 attachments • 2 hrs

Functions in Python

Lists, Tuple, Dictionary

Class & Object in python

File Handling

NumPy Introduction

OOPS + Python Notes (PDF)

10 pages

QUIZ-2

Week 5–6: Data Science Setup & Libraries

10 attachments • 1 hrs

How to Install Python, Anaconda, Jupyter notebook,Vs code

Learn Pandas Basics

Data Cleaning

Data Visualization in Python using Matplotlib, Seaborn, and Plotly Packages

Mini Practice Tasks – Hands-on Lab Work

Task 1 – NumPy Practice Assignment

Task 2 – Pandas Data Analysis Assignment

Task 3 – Data Cleaning Assignment

Task 4 – Data Visualization Assignment

Task 5 – Mini EDA Project

Week 7–8: Project-1 – Data Analysis Project

2 attachments

Project-1 – Data Analysis & EDA Internship Project

Submit Your Exploratory Data Analysis (EDA) Report

Week 9–10: Machine Learning Concepts

6 attachments • 1 hrs

All Machine Learning Concepts Explained

Linear Regression

Logistic Regression

Decision and Classification Trees

Model Evaluation in Machine Learning ｜ Accuracy score ｜ Mean Squared Error

QUIZ-3

Week 11–12: Project-2 – AI/ML Final Project

1 attachment

Final Internship Project – AI/ML Model

FINAL EXAM

Certification

When you complete this course you receive a ‘Certificate of Completion’ signed and addressed personally by me.

FAQs

How can I enrol in a course?

Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.

Can I access the course materials on any device?

Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.

How can I access the course materials?

Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.

Can I interact with the instructor during the course?

Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.