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This course is ideal for learners who want to master machine learning concepts and apply them using TensorFlow, one of the most popular deep learning frameworks. Whether you’re a beginner in ML, a developer looking to expand into AI, or a data scientist aiming to strengthen your deep learning skills, this course is designed for you.
While prior programming knowledge in Python is beneficial, it’s not mandatory. The course includes a Python refresher and introduces coding concepts step-by-step so even beginners can follow along.
The Machine Learning with TensorFlow course covers:
Yes. The course includes hands-on TensorFlow projects such as image classification, sentiment analysis, and time series forecasting, giving you real-world problem-solving experience.
You’ll work with:
The course typically takes 2 to 3 months to complete, depending on the pace and learning mode (weekday, weekend, or self-paced online).
Yes. By mastering TensorFlow, you’ll gain skills highly valued for roles such as Machine Learning Engineer, Deep Learning Specialist, or AI Developer. It’s also a solid foundation for advancing into areas like computer vision and natural language processing.
Fees vary by provider and mode of delivery, typically ranging between ₹20,000 – ₹40,000 for a complete TensorFlow program.
Students, IT professionals, career changers, and AI enthusiasts interested in mastering TensorFlow for building machine learning and deep learning models.
Yes, it starts from the basics and progressively covers advanced topics, making it beginner-friendly while still valuable for experienced learners.
A basic understanding of high school-level algebra, probability, and statistics will help, but all necessary math concepts are explained in the course.
TensorFlow is used across industries such as:
Absolutely. This course is a stepping stone to specialized deep learning fields like computer vision, NLP, and reinforcement learning.
Yes, including normalization, feature scaling, encoding, and dataset preparation for TensorFlow pipelines.
Basic coding skills are helpful but not mandatory the course covers Python programming alongside TensorFlow training.
No. You’ll learn all essential data handling skills as part of the course.
Yes. TensorFlow is a core tool in AI development, and mastering it opens doors to advanced AI applications.
Google Translate language processing
YouTube video recommendations
Voice recognition in Google Assistant
Medical diagnosis systems
Predictive maintenance in manufacturing
DataMites offers a Machine Learning with TensorFlow Certification that covers both foundational ML concepts and practical TensorFlow applications for building AI models.
The program lasts 2 to 3 months with 60–80 hours of training. Weekday and weekend batches are available.
The fee typically ranges from ₹20,000 to ₹60,000, depending on the learning format and additional benefits.
Yes, upon successful completion, you’ll earn a globally recognized certification accredited by IABAC.
Yes. DataMites offers free demo classes so you can experience the teaching quality and course content.
Placement support includes resume building, interview preparation, mock interviews, job alerts, and networking opportunities.
Yes, it starts with the basics of ML and TensorFlow before moving to advanced applications.
Yes. DataMites offers real-time internship opportunities with partner companies to help you gain industry experience.
Yes, including projects in image recognition, text classification, and predictive modeling using TensorFlow.
There are no strict prerequisites, though familiarity with Python and basic math is beneficial.
Yes, flexible EMI plans are available.
Trainers are industry experts with deep experience in AI, ML, and TensorFlow development.
Yes, under specific conditions, usually if you withdraw after initial classes.
Because of expert-led sessions, real-world projects, globally recognized certification, and strong placement support.
You’ll get complete study materials, recorded sessions, TensorFlow code notebooks, and practice datasets.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.