Artificial Intelligence Engineer Master’s Program
- Offered bySnapLogic
Artificial Intelligence Engineer Master’s Program at SnapLogic Overview
Duration | 6 years |
Total fee | ₹51,300 |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Artificial Intelligence Engineer Master’s Program at SnapLogic Highlights
- Earn a certificate after completion of course from SnapLogic
- Discount is available on fees
- Career guidance or assistance
- Knowledgeable and top industry experts take the classes
- Provides relevant study materials
Artificial Intelligence Engineer Master’s Program at SnapLogic Course details
Individuals currently working in IT roles (e.g., software developers, system engineers) who want to specialize in AI technologies
Professionals seeking to deepen their expertise in machine learning and AI to enhance their data-driven decision-making capabilities
Understand the fundamental concepts of AI, including its history, applications, and the differences between AI, machine learning, and deep learning learn the latest technologies and tools associated with AI
Explore supervised and unsupervised learning algorithms, model evaluation techniques, and feature engineering strategies
Master’s in AI consists of several industry-relevant courses it includes machine learning, ChatGPT, data science with Python, NLP, and deep learning
This course will give you exposure to the latest trends in AI
It includes prompt engineering, generative AI, ChatGPT, and many more
In this, you will get exposure to a wide range of hands-on projects and tools
Artificial Intelligence Engineer Master’s Program at SnapLogic Curriculum
Deep Learning with TensorFlow
Introduction to TensorFlow
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Unsupervised Learning
Artificial Intelligence (AI)
Artificial Intelligence Training
Introduction to Artificial Intelligence
Python: Environment Setup and Essentials
Mathematical Computing with Python (NumPy)
Data Manipulation with Python (Pandas)
Data Visualization in Python using Matplotlib
Machine Learning
Introductory Topics
Linear Regression and Feature Selection
Linear Classification
Support Vector Machines and Artificial Neural Networks
Data Science with Python
Python Basics
Python Data Structures
Python Programming Fundamentals
Working with Data in Python
Applied Data Science with Python
Python for Data Science
Defining Data Science
Data Processing Phases
Descriptive Statistics Computing Features in Python
Repairing and Normalizing Data
Data Visualization in Python
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