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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Practical Machine Learning with Tensorflow certification course offers a comprehensive curriculum that covers the key aspects of Tensorflow and Machine Learning such as data input, Tensorflow preprocessing, and prediction. This certification course lasts 8 weeks, and its prerequisites are Programming, Data Mining, Machine Learning, or Data Science.
The students gain hands-on training in the subject from industry experts. The Practical Machine Learning with Tensorflow certification by NPTEL equips students with the required skills and knowledge to build ML models using Tensorflow. The candidates also learn the application of techniques, principles, and strategies in real-world projects.
The Highlights
- 2 Months to Complete
- Completion Certificate
- Online/Elective Online Course
- Certification by IIT Madras
Programme Offerings
- Hands-on Learning
- Books
- videos
- Transcripts
- assignments
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT Madras (IITM) |
Eligibility Criteria
Academic Qualifications
The Practical Machine Learning with TensorFlow certification course prerequisite is undergraduate.
What you will learn
After completing the Practical Machine Learning with Tensorflow certification syllabus, the students will gain in-depth knowledge and skills in building ML models using Tensorflow. The candidates will also gain Data Input and Preprocessing with Tensorflow and monitoring and evaluating models using Tensorboard.
Upon completion of the Practical Machine Learning with TensorFlow training, the students learn the core principles and strategies to build models. They will also gain hands-on experience in advanced Tensorflow (Building custom models - CNNs, Scaling up for large datasets) and distributed training with hardware accelerators.
Who it is for
The Practical Machine Learning with Tensorflow online course is designed for undergraduate students who are seeking to enhance their skills and knowledge. This course can also be beneficial for:
Admission Details
To join the Practical Machine Learning with TensorFlow classes, follow the below-mentioned steps:
Step 1: Click the link below:
https://nptel.ac.in/courses/106106213
Step 2: Login by creating a separate account with Microsoft or Google Account.
Step 3: Submit the form by filling in the required information and join the course.
The Syllabus
- Getting started with Tensorflow
- Overview of Machine Learning (Process and Techniques, Demonstration of ML concepts with Deep Playground)
- Data Input and Preprocessing with Tensorflow
- Machine Learning Model Building
- Prediction with Tensorflow
- Monitoring and evaluating models using Tensorboard
- Advance Tensorflow (Building custom models - CNNs, Scaling up for large datasets)
- Distributed training with hardware accelerators
Evaluation process
The candidates need to clear the examination with a score of at least 10 out of 25 percent in assignments and 30 out of 75 percent in the final proctored exam.
Instructors
IIT Madras (IITM) Frequently Asked Questions (FAQ's)
The eligibility requirements for this online course are basic knowledge in programming, data mining, machine learning, or data science.
- The duration of the certification course is eight weeks or two months
This certification course syllabus covers Machine Learning (process and techniques, demonstration of ML concepts with deep playground), data input and preprocessing with Tensorflow, and Machine Learning model building.
Yes, an undergraduate student is eligible for this certification course. The candidate must also have a basic knowledge of programming, data mining, machine learning, or data science.
Yes, this certification course is provided by IIT Madras by NPTEL (National Programme on Technology Enhanced Learning). The NPTEL is a joint venture of the IITs and IISc.