• Home
  • /
  • Course
  • /
  • Machine Learning with TensorFlow Nanoschool

Rated Excellent

250+ Courses

30,000+ Learners

95+ Countries

INR ₹0.00
Cart

No products in the cart.

Sale!
Machine Learning with TensorFlow Nanoschool

Machine Learning with TensorFlow Nanoschool

Original price was: INR ₹5,499.00.Current price is: INR ₹2,999.00.

Early access to e-LMS included
Learn how TensorFlow can be used to build, train, and deploy machine learning models for real-world applications, including prediction, classification, image analysis, data modeling, and intelligent automation through hands-on AI workflows.

Build Intelligent Machine Learning Models with TensorFlow: Train, Predict, Analyze, and Deploy AI Solutions

Category: Brand:
Attribute
Detail
Format
Online, flexible modular format with hands-on TensorFlow projects
Level
Beginner-friendly / Professional
Duration
4 Weeks
Certification
e-Certification + e-Marksheet
Tools
TensorFlow, Keras, Python, NumPy, Pandas, Scikit-Learn, TensorBoard, Deep Learning
About the Course
Machine Learning with TensorFlow NanoSchool Course dives deep into Machine Learning With TensorFlow. Gain comprehensive expertise through our structured curriculum and hands-on approach. This course helps learners understand how to build, train, evaluate, and deploy machine learning and deep learning models using TensorFlow, Keras, Python, and real-world datasets.
Program Highlights
• Mentorship by industry experts and NSTC faculty.
• Hands-on projects using TensorFlow, Keras, Python, and machine learning workflows.
• Case studies on real-world AI, deep learning, prediction, and automation applications.
• e-Certification + e-Marksheet upon successful completion.
Course Curriculum
Foundations of Machine Learning with TensorFlow
  • Understand the role of TensorFlow in machine learning, deep learning, and artificial intelligence development.
  • Learn key concepts such as datasets, features, labels, model training, prediction, loss functions, and optimization.
  • Explore how TensorFlow supports scalable AI model development for real-world applications.
Python, NumPy, and Data Preparation for TensorFlow
  • Prepare datasets using Python, NumPy, Pandas, and basic data preprocessing techniques.
  • Handle missing values, scaling, encoding, train-test splitting, and feature preparation.
  • Convert clean datasets into formats suitable for TensorFlow model training.
Building Machine Learning Models with TensorFlow and Keras
  • Build basic machine learning models using TensorFlow and Keras APIs.
  • Understand layers, activation functions, optimizers, loss functions, and model compilation.
  • Train models for classification, regression, and prediction-based tasks.
Neural Networks and Deep Learning Fundamentals
  • Learn how neural networks work through neurons, weights, biases, activation functions, and backpropagation.
  • Design feedforward neural networks for structured data problems.
  • Understand model training behavior, overfitting, underfitting, and regularization methods.
Model Training, Evaluation, and Performance Improvement
  • Train TensorFlow models using real-world datasets and monitor learning progress.
  • Evaluate model performance using accuracy, precision, recall, F1-score, RMSE, MAE, and confusion matrix.
  • Improve models using hyperparameter tuning, dropout, batch normalization, and early stopping.
Computer Vision with TensorFlow
  • Learn the basics of image data processing and computer vision model building.
  • Build convolutional neural networks for image classification and visual pattern recognition.
  • Apply TensorFlow to practical use cases such as object recognition, defect detection, and image-based prediction.
TensorBoard, Experiment Tracking, and Model Debugging
  • Use TensorBoard to monitor training metrics, loss curves, accuracy, and model behavior.
  • Compare experiments and understand how model changes affect performance.
  • Debug common TensorFlow training issues and improve model reliability.
Deployment and Real-World TensorFlow Applications
  • Understand how trained TensorFlow models are saved, reused, and deployed for practical applications.
  • Explore use cases in healthcare, finance, manufacturing, retail, automation, and smart systems.
  • Learn how TensorFlow models support prediction, classification, recommendation, and intelligent decision-making.
Capstone: End-to-End Machine Learning with TensorFlow Project
  • Work on a complete TensorFlow-based machine learning project from dataset preparation to final model evaluation.
  • Build, train, tune, test, and present a practical AI model using TensorFlow and Keras.
  • Create a project portfolio that demonstrates real-world TensorFlow and machine learning skills.
Real-World Applications
  • Apply TensorFlow to predictive analytics, classification, and regression problems.
  • Build deep learning models for image recognition, pattern detection, and visual analysis.
  • Use TensorFlow for healthcare analytics, finance prediction, customer behavior analysis, and automation.
  • Develop AI models for business forecasting, risk detection, and intelligent decision-making.
  • Create portfolio-ready machine learning projects using TensorFlow and Keras.
Tools, Techniques, or Platforms Covered
Machine Learning
TensorFlow
Keras
Python
NumPy
Pandas
Scikit-Learn
TensorBoard
Neural Networks
Deep Learning
Computer Vision
Who Should Attend & Prerequisites
  • Designed for students, researchers, developers, and professionals interested in machine learning and AI model development.
  • Suitable for beginners who want to learn TensorFlow through practical, hands-on projects.
  • Useful for professionals in data science, AI, software development, analytics, automation, and research.
  • Basic computer knowledge and interest in Python, data, and machine learning are recommended.
Frequently Asked Questions
1. What is the Machine Learning with TensorFlow NanoSchool course about?
The Machine Learning with TensorFlow NanoSchool course focuses on building practical machine learning and deep learning models using TensorFlow, Keras, and Python. Learners study data preparation, neural networks, model training, evaluation, TensorBoard, computer vision, and real-world AI project development.
2. Is this course suitable for beginners?
Yes, this course is suitable for beginners who want to learn machine learning with TensorFlow. It starts with foundational concepts and gradually moves toward model building, deep learning, evaluation, and project-based applications. Basic Python knowledge is helpful but not mandatory for motivated learners.
3. Why should I learn Machine Learning with TensorFlow?
TensorFlow is one of the most widely used frameworks for building machine learning and deep learning models. Learning TensorFlow helps you develop practical AI solutions for prediction, classification, computer vision, automation, recommendation systems, and intelligent decision-making.
4. What career benefits can this course offer?
This course can support career growth in roles such as Machine Learning Associate, AI Developer, Junior Data Scientist, Deep Learning Trainee, TensorFlow Developer, Data Analyst, and AI Project Assistant. It also helps learners build a strong portfolio for internships, academic projects, and professional opportunities.
5. What tools and technologies will I learn?
Learners gain exposure to TensorFlow, Keras, Python, NumPy, Pandas, Scikit-Learn, TensorBoard, neural networks, deep learning, computer vision basics, model evaluation, and practical machine learning workflows.
6. Does this course include hands-on projects?
Yes, the course includes hands-on TensorFlow projects where learners prepare datasets, build models, train neural networks, evaluate performance, and present results. The capstone project helps learners demonstrate practical TensorFlow and machine learning skills.
7. What is the format of the Machine Learning with TensorFlow NanoSchool course?
The course is delivered online in a flexible modular format. Learners can study concepts step by step and apply them through coding exercises, case studies, assignments, and project-based learning.
8. Will I receive a certificate after completing this course?
Yes, learners receive NSTC e-Certification + e-Marksheet upon successful completion. This can be added to a resume, LinkedIn profile, academic portfolio, or professional profile.
9. Is Machine Learning with TensorFlow difficult to learn?
The course is designed to make TensorFlow and machine learning approachable through step-by-step explanations, practical coding examples, and project-based learning. Learners can gradually build confidence in training and evaluating AI models.
10. Who should join this course?
This course is ideal for students, beginners, developers, researchers, data enthusiasts, and professionals who want to learn how to build machine learning and deep learning models using TensorFlow and apply them to real-world AI problems.

Ready to Start Your Machine Learning with TensorFlow NanoSchool Journey?

Enroll now and earn your NSTC e-Certification + e-Marksheet

Enroll Now

Related products

Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

Achieve Excellence & Enter the Hall of Fame!

Elevate your research to the next level! Get your groundbreaking work considered for publication in  prestigious Open Access Journal (worth USD 1,000) and Opportunity to join esteemed Centre of Excellence. Network with industry leaders, access ongoing learning opportunities, and potentially earn a place in our coveted 

Hall of Fame.

Achieve excellence and solidify your reputation among the elite!

14 + years of experience

over 400000 customers

100% secure checkout

over 400000 customers

Well Researched Courses

verified sources

FREEDOM TO LEARN • 10% OFF All Courses & Workshops • Use Code: NANOINDIA10 • ⏳ Offer Ends In: Loading... • Learn Today. Lead Tomorrow. • Explore Programs →
FREEDOM TO LEARN • 10% OFF All Courses & Workshops • Use Code: NANOINDIA10 • ⏳ Offer Ends In: Loading... • Learn Today. Lead Tomorrow. • Explore Programs →
Support