Courses
Level: 1
Age group: All
This course Includes
16 live tutoring sessions
54 topics
Access on mobile
Certificate of completion
Conceptual clarity in IT infrastructure and Python Libraries
Skill in Advanced Machine Learning and Artificial intelligence
Proficiency in Application of Machine Learning in Industries
Deep-insight to data science and neural networks
Mastery in Projects Based on Challenges
54 topics
IT Infrastructure Landscape Overview
Directory Services
Concept of Computer Networking
Cyber Security
Middleware Applications
Revision of Python Programming
Knowledge of Python Libraries
Data Structure
Functions
Statistical Functions
Fundamentals of the Linux Operating System
Artificial Intelligence and Machine Learning
Introduction to Artificial Intelligence
Logical approach to AI and Knowledge-Based system
Probabilistic approach to AI
Evolutionary Intelligence
Neural Networks & Natural Language Understanding
Introduction to Machine Learning
Learning Deterministic Models
Advanced Machine Learning
Machine Learning
Simple linear regression
Multiple regression and Model building
Classification & Classification Algorithms
Clustering Techniques
Information Retrieval
Deep Learning & Neural Networks
Fundamentals of Deep Learning
Learning Process and Different Models in Neural Networks
The Math behind Neural Networks
Diving to the Depths of Deep Learning
Convolutional Neural Networks
Recurrent Neural Networks (RNN)
Generative Deep Learning
Advanced Topics in Deep Learning
Tangential Topics of Machine Learning and Neural Networks
Machines Learning in Banking and Securities
Machine Learning in Communication Media and Entertainment
Machine Learning in Healthcare and Life Science
Machines Learning in Education
Machine Learning in Manufacturing and Petroleum Industries
Applications of Machine Learning in Government Administration
Machine Learning in Insurance Industry
Applications of Machine learning in Retail Industry and Supply Chain
Machine Learning in Transportation and Logistics
Application of Machine Learning in Industries
Machine Learning in Energy and Utilities
Capstone Project
Projects Based on Challenges
Face Detection
Al Chatbot
Restaurant Revenue Prediction
Census Project
Housing Price Prediction
Here's why more and more people are joining EnthuZiastic
Customize your lessons to meet your individual goals.
Top rated teachers to guide you through the learning process.
Attend classes anytime, anywhere. Make your own schedule.
Gain experience in organizing live events such as 'Show What You Know,' competitions, and cultural celebrations to develop self-assurance and confidence.
A compassionate support team to listen to your needs.
You will get a certificate for the completion of the course.
Enroll for the course of your liking by selecting 1:1 or group classes. Choose the type of instructor you want to learn with.
Download Enthu app and schedule classes for the day and time that works best for you. You own your learning schedule.
Join classes on Zoom and start learning with lessons customized for you. Make most of our student success program.
Strong knowledge of mathematics and any programming language
Basic knowledge of statistics and modeling
Conceptual knowledge of Data Science
A PC or Laptop with Internet Connection
Python software installed in the system
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Who can join this course?
All enthuziast with interest in working as an AI Engineering or willing to learn about artificial intelligence systems and algorithms can join this course.
Why join this course?
If you are looking for a course that combines AI, Data Science, Machine Learning, Deep Learning, and Neural networks allowing the real-world application of sophisticated tools and models, this course is the right place for you.
What can I expect after this course?
After this course, you will be ready for a job in AI that puts you on the fast road to a dynamic, ever-changing industry that is predicted to grow significantly. You will learn with hands-on projects such as capstone projects, census projects, and more.
Are these classes Live?
Yes, all our classes are conducted online. These classes are no different than taking up face-to-face, physical chess training. Taking up online lessons help you save significant time, money, and energy.
How will I be able to join classes?
You will need to download Enthu app. It will have all your classes and all your schedule in one place. You can join classes directly from the app (both mobile and desktop app are available). You will get regular reminder for classes on the app so that you never forget a class. App can also be used to share feedback for each session.
How many students will there be in a class?
We have 1:1 as well as n:1 classes. You can make your choice when enrolling in the course. For group classes, we take only small batches not exceeding 5 students at a time.
What if I miss a class?
In the case of 1:1 class, you can easily reschedule your class with the help of support team or through the app. In the case of group classes, class recording will be available to you in the Enthu app. You can watch them and get any doubts you have answered in the next class.
Do you follow a curriculum?
Yes, our curriculum has been designed by our teachers with more than a decade of experience in the respective subject. It is a tried and tested curriculum to help you uncover your best.
What are the privacy steps followed by you for these classes?
We take utmost care to ensure privacy during our online live sessions. Only verified students can join the sessions. This makes our sessions completely safe and secure. We do not share this personal information with any third parties.
Whom to reach out if I need any help during session or otherwise?
You can reach out to support team on Enthu App or email at support@enthu.com
What is your cancellation policy?
You can cancel your enrollment by emailing at support@enthu.com within 5 working days of your registration.
What is your refund policy?
We offer 30 Day Money Back Guarantee. You can ask for refund by emailing at support@enthu.com.
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16192 Coastal Hwy
Lewes
DE 19958
+18044084086
912 Techno IT Park, Link Road, Borivali (W)
Mumbai, MahaRashtra
400092 (India)
+91-76708-58585