AI and Emerging Technologies by IIT Hyderabad
Course Features
Duration
6 weeks
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Instructor Paced
Course Description
Highlights
Course Credibility
Top 20 Percentile
Pedagogy
Top 10 Percentile
Hands on training
Top 20 Percentile
Parameters
Course Credibility
Delivered through TalentSprint a renowned institution in the field, this course offers a comprehensive learning experience.
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Pedagogy
Designed for newcomers to Machine Learning, this course provides a tailored and comprehensive overview, facilitating effective learning and understanding of the subject. It caters to beginners' needs, ensuring a smooth and engaging introduction to the Machine Learning field.
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Hands on training
This course stands out as one of the top 20 percentile options in Machine Learning, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training and Capstone Projects / Industry-Simulation as well as essential Case Based Learning, this course is tailored to meet diverse educational needs.
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Course Overview
Live Class
Alumni Network
Human Interaction
Personlized Teaching
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Industry Exposure,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
Students from S.T.E.M (Science, Technology, Engineering, and Mathematics) background interested in exploring AI domain
A recent graduates (0 to 3 years experience) actively looking for opportunities in AI and Emerging Technologies
Basic programming knowledge required
What You Will Learn
Basics of Python
External Libraries(Numpy, SKlearn, Pytorch)
Pandas for data wrangling
Calculus and Optimisation
Machine Learning
Applications of AI
Github & Kaggle Profile
Course Instructors
Dr. Antony Franklin
IoT, Mobile Edge Computing, Next-gen Mobile Network Protocols Systems
Dr. Vineeth Balasubramanian
Deep Learning, Machine Learning, Real-world Applications, Computer Vision
Dr. Maunendra Sankar Desarkar
Recommendation Systems, Social Network Analysis, Machine Learning
Dr. Sri Rama Murty Kodukula
Signal Processing, Speech Analysis, Pattern Recognition