Auto-Keras Training in Vancouver

Auto-Keras Training in Vancouver, Canada

Participants will learn how to automate deep learning model selection, architecture search, and hyperparameter tuning using Auto-Keras.

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Auto-Keras Training is a professional training program delivered by ProgNXT in Vancouver, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this Auto-Keras Training course with hands-on, instructor-led sessions. This Auto-Keras training introduces participants to AutoML with Auto-Keras, an open-source deep learning framework built on TensorFlow and Keras....

Expert Panel

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: JSR32
14 Hrs
Last Updated: April 2026

Course Rating5/5

This Auto-Keras training introduces participants to AutoML with Auto-Keras, an open-source deep learning framework built on TensorFlow and Keras. Participants will learn how to automate deep learning model selection, architecture search, and hyperparameter tuning using Auto-Keras, enabling faster and more efficient model development.

Welcome to the official Auto-Keras Training certification program in Vancouver, 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 knowledge of Machine Learning and Deep Learning
Familiarity with Python and Keras/TensorFlow
Understanding of neural networks and hyperparameter tuning (recommended)

Participants will gain expertise in automating deep learning model development and optimization using Auto-Keras.

Auto-Keras Fundamentals: Understanding AutoML in deep learning.
Automated Model Selection & Tuning: Using Auto-Keras for model architecture search.
Neural Architecture Search (NAS): Exploring the best deep learning architectures.
Hyperparameter Optimization: Tuning models efficiently without manual effort.
Auto-Keras for Various ML Tasks: Image classification, text classification, regression, and time-series forecasting.
Model Deployment: Deploying and evaluating Auto-Keras models.

Participants will be assessed on:

Auto-Keras Workflow: Implementing automated deep learning pipelines.
Neural Architecture Search: Optimizing model architectures.
Hyperparameter Tuning: Understanding Auto-Keras hyperparameter optimization.
Working with Auto-Keras Models: Using Auto-Keras for different ML tasks.
Model Deployment: Deploying and evaluating deep learning models.

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

Introduction to Auto-Keras & Automated Model Selection

Module 1: Understanding Auto-Keras & AutoML in Deep Learning
- What is Auto-Keras? Features & benefits
- Auto-Keras vs. traditional deep learning
- Auto-Keras vs. other AutoML frameworks (Auto-sklearn, TPOT, Google AutoML)
Module 2: Setting Up Auto-Keras
- Installing Auto-Keras and dependencies
- Overview of Auto-Keras API and workflow
- Hands-on: First Auto-Keras model
Module 3: Auto-Keras for Image Classification
- Automated model building for image classification
- Hands-on: Training an Auto-Keras image classification model

Advanced Auto-Keras & Model Deployment

Module 4: Auto-Keras for Text and Tabular Data
- Auto-Keras for text classification
- Auto-Keras for structured/tabular data
- Hands-on: Building a text classification model
Module 5: Neural Architecture Search (NAS) & Hyperparameter Tuning
- Understanding NAS in Auto-Keras
- Optimizing deep learning architectures
- Hands-on: Experimenting with NAS and hyperparameter tuning
Module 6: Model Deployment & Performance Evaluation
- Exporting and deploying trained models
- Evaluating model performance and bias detection
- Hands-on: Deploying an Auto-Keras model in a real-world scenario
Hands-On Labs

Course slides and documentation
Auto-Keras code samples and datasets
Best practices for deep learning automation

Participants will complete a mini-project using Auto-Keras.
Successful candidates will receive the ProgNXT Certificate of Completion.

Auto-Keras Training Events in vancouver

Online Events

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More Upcoming Session Dates

October 2026

📍 Vancouver, Canada

20th Oct 2026→21st Oct 2026

🌐 Online Instructor-Led

21st Oct 2026→22nd Oct 2026

November 2026

📍 Vancouver, Canada

2nd Nov 2026→3rd Nov 2026

🌐 Online Instructor-Led

2nd Nov 2026→3rd Nov 2026

🌐 Online Instructor-Led

22nd Nov 2026→23rd Nov 2026

📍 Vancouver, Canada

25th Nov 2026→26th Nov 2026

December 2026

📍 Vancouver, Canada

11th Dec 2026→12th Dec 2026

🌐 Online Instructor-Led

11th Dec 2026→12th Dec 2026

📍 Vancouver, Canada

26th Dec 2026→27th Dec 2026

🌐 Online Instructor-Led

27th Dec 2026→28th Dec 2026

Events for other courses in Vancouver, Canada

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Auto-Keras Training in Vancouver