Keras Training and Certification in Ontario

Keras Training and Certification in Ontario, Canada

This course provides a comprehensive introduction to Keras, a high-level deep learning API that runs on top of TensorFlow.

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Keras Training and Certification is a professional training program delivered by ProgNXT in Ontario, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Keras Training and Certification course with hands-on, instructor-led sessions. This course provides a comprehensive introduction to Keras, a high-level deep learning API that runs on top of TensorFlow. Participants will learn...

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Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: UYD27
14 Hrs
Last Updated: April 2026

Course Rating5/5

This course provides a comprehensive introduction to Keras, a high-level deep learning API that runs on top of TensorFlow. Participants will learn how to build, train, and deploy deep learning models using Keras, covering fundamental concepts like neural networks, activation functions, optimization techniques, and model evaluation. The course includes hands-on exercises with real-world datasets to help participants gain practical experience.

Welcome to the official Keras Training and Certification certification program in Ontario, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic proficiency in Python programming
Understanding of machine learning and deep learning fundamentals
Familiarity with NumPy, Pandas, and Matplotlib
Knowledge of linear algebra and basic neural network concepts

By the end of the course, participants will be able to:

Understand the fundamentals of deep learning and Keras architecture
Work with Keras layers, models, and optimizers
Build and train feedforward neural networks (FNNs) and convolutional neural networks (CNNs)
Optimize deep learning models using loss functions and regularization techniques
Use pre-trained models and transfer learning for efficient training
Deploy trained Keras models using TensorFlow Serving and ONNX

Building and training deep learning models using Keras
Implementing optimization techniques for better model performance
Working with CNNs, RNNs, and LSTMs in Keras
Applying data augmentation and regularization techniques
Deploying trained models in production environments
Understanding and using TensorFlow backend features

Understanding of Keras layers, models, and optimizers
Implementing neural networks using Keras APIs
Optimizing model performance with regularization techniques
Model evaluation and hyperparameter tuning
Building and deploying a real-world AI application

ProgNXT Certificate of Completion: Participants who complete the training and actively engage in exercises will receive a ProgNXT Certificate of Completion for the Training Program.

Introduction to Keras and Deep Learning

Overview of deep learning and neural networks
Introduction to Keras and TensorFlow backend
Setting up the Keras environment
Understanding Keras models (Sequential vs. Functional API)

Training and Optimizing Keras Models

Working with activation functions (ReLU, Sigmoid, Softmax, etc.)
Understanding loss functions and optimization techniques (SGD, Adam, RMSprop)
Evaluating and fine-tuning deep learning models
Handling overfitting with dropout and batch normalization

Advanced Topics and Model Deployment

Implementing Recurrent Neural Networks (RNNs) and LSTMs for sequential data
Transfer learning and fine-tuning pre-trained models (VGG, ResNet, MobileNet)
Saving and loading Keras models for future use
Deploying Keras models using TensorFlow Serving and ONNX
Hands-on: Developing and deploying an end-to-end deep learning model

Lecture slides and official Keras documentation
Jupyter Notebooks with practical exercises
Sample datasets for image and text-based deep learning tasks

Participants who complete the training and actively engage in exercises will receive a ProgNXT Certificate of Completion for the Training Program.

Keras Training and Certification Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

📍 Ontario, Canada

18th Oct 2026→19th Oct 2026

🌐 Online Instructor-Led

23rd Oct 2026→24th Oct 2026

November 2026

📍 Ontario, Canada

6th Nov 2026→7th Nov 2026

🌐 Online Instructor-Led

7th Nov 2026→8th Nov 2026

📍 Ontario, Canada

19th Nov 2026→20th Nov 2026

🌐 Online Instructor-Led

28th Nov 2026→29th Nov 2026

December 2026

📍 Ontario, Canada

3rd Dec 2026→4th Dec 2026

🌐 Online Instructor-Led

4th Dec 2026→5th Dec 2026

🌐 Online Instructor-Led

18th Dec 2026→19th Dec 2026

📍 Ontario, Canada

24th Dec 2026→25th Dec 2026

Events for other courses in Ontario, Canada

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Keras Training and Certification in Ontario