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We're here to help you find itTensorFlow Course Overview
The TensorFlow course is an all-encompassing program designed to introduce learners to the world of machine learning and deep learning using the TensorFlow framework. This course covers foundational concepts, practical implementation, and advanced techniques in a structured learning path. With a focus on TensorFlow certification, the course begins with the basics of TensorFlow's architecture and installation, progressing through the creation of various Neural network models including CNNs, RNNs, and GANs, to applications in Computer vision and Natural language processing.
As learners navigate through the curriculum, they will gain hands-on experience with TensorFlow's APIs and master the skills necessary for building and training powerful models. Whether you're looking to enhance your skillset or kickstart a career in AI, this Tensorflow bootcamp offers the knowledge and tools required to excel in the field. By the end of the course, participants will be well-prepared to tackle real-world machine learning challenges and make significant strides in their professional journey.
Successfully delivered 5 sessions for over 6 professionals
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USD
View Fees Breakdown
Course Fee | 2,275 |
Exam Fee | 100 |
Total Fees (without exam) |
2,275 (USD) |
USD
View Fees Breakdown
Course Fee | 1,700 |
Exam Fee | 100 |
Total Fees (without exam) |
1,700 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
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You can request classroom training in any city on any date by Requesting More Information
To successfully undertake training in the TensorFlow course offered by Koenig Solutions, students should meet the following minimum prerequisites:
These prerequisites are designed to ensure that learners have a foundational base upon which the course material can build. It is important for students to have a grasp of these concepts to fully benefit from the lessons and practical exercises provided throughout the course.
Exam Component | Details |
---|---|
Exam Name | TensorFlow Developer Certificate Exam |
Exam Type | Multiple Choice Questions (MCQs) and Practical coding tasks |
Total Questions | Varies, typically includes several coding problems and a few MCQs |
Passing Score | N/A (Scored based on accuracy and completion of coding tasks) |
Exam Duration | 5 hours |
Language | English |
Exam Provider | TensorFlow, developed and hosted under Google |
Exam Registration | Through TensorFlow's official certification website |
Certification Validity | Lifetime (as of latest available information) |
Recommended Training | TensorFlow's official courses and workshops, TensorFlow in Practice Specialization on Coursera |
Koenig Solutions' TensorFlow course offers comprehensive training in machine learning, neural networks, and AI, tailored for tech professionals seeking advanced skills.
This TensorFlow course equips participants with a comprehensive understanding of neural networks, deep learning techniques, and practical applications using TensorFlow's robust ecosystem.