COURSE OBJECTIVES

A Capstone project is the final phase of the AI Engineer Master’s Program, built leveraging the learnings from the entire program. It is designed to help learners showcase their expertise in a specific domain to potential employers. The projects are co-created with industry experts and represent industry-specific challenges to help learners overcome typical business problems. The Capstone project is a great opportunity for students and professionals to pursue their dream career in this domain.

This AI Capstone course end project will validate your expertise as a job-ready AI Engineer. You will learn to apply the knowledge, skills and capabilities you learned in the AI Engineer Master’s program and build a project on your own from start to finish. You will gain real-world exposure to modern AI challenges and learn to build your own models using supervised and unsupervised techniques and make better data-driven decisions. You will also have the flexibility to choose your own domain for the project.

COURSE OBJECTIVES

After finish the course, student will have knowledge and skills to:

• Exploratory Data Analysis - In this step, you will apply various data processing techniques to determine the features and correlation between them, transformations required to make the data sense, new features construction, etc.
• Model Building and fitting - This will be performed using machine learning algorithms like regression, multinomial Naïve Bayes, SVM, tree-based algorithms, etc.
• Unsupervised learning - Clustering to group similar kind of transactions/reviews using NLP and related techniques to devise meaningful conclusions.
• Representing results - As the last step, you will be required to export your results into a dashboard with meaningful insights.

AUDIENCE

Anyone who is interested in upscaling their skill sets in AI and Machine Learning can take this course to become familiar with real-world industry-specific problems and solutions.

PREREQUISITES

Student should complete Simplilearn’s AI Engineer Master’s program in order to take this project

Alternatively, the learner must be proficient in Python, Data Science, Machine Learning and Deep Learning with Tensorflow in order to take up this course. Below are the recommended courses for this-

• Data Science with Python
• Machine Learning
• Deep Learning with TensorFlow

COURSE CONTENTS

Simplilearn’s Artificial Intelligence (AI) Capstone project will give you an opportunity to implement the skills you learned in the masters of AI. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. You'll learn various AI-based supervised and unsupervised techniques like Regression, SVM, Tree-based algorithms, NLP, etc. The project is the final step in the learning path and will help you to showcase your expertise to employers.