AutoML Training and Certification in San Francisco

AutoML Training and Certification in San Francisco, USA

Participants will learn how to use AutoML tools to automate feature engineering.

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AutoML Training and Certification is a professional training program delivered by ProgNXT in San Francisco, USA. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this AutoML Training and Certification course with hands-on, instructor-led sessions. This AutoML training provides a comprehensive understanding of Automated Machine Learning (AutoML) and its applications. Participants will learn how...

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: FWA27
14 Hrs
Last Updated: April 2026

Course Rating5/5

This AutoML training provides a comprehensive understanding of Automated Machine Learning (AutoML) and its applications. Participants will learn how to use AutoML tools to automate feature engineering, model selection, and hyperparameter tuning to build efficient machine learning models without extensive manual effort.

Welcome to the official AutoML Training and Certification certification program in San Francisco, USA. 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 understanding of machine learning concepts
Familiarity with Python and data preprocessing
Knowledge of cloud-based AI platforms (optional)

Participants will learn to use AutoML for end-to-end machine learning model development, optimization, and deployment.

Understanding AutoML: Concepts, workflow, and benefits.
Automated Feature Engineering: Handling data preprocessing and transformation.
Model Selection & Hyperparameter Tuning: Automated techniques for choosing the best model.
AutoML Tools & Frameworks: Hands-on with Google AutoML, H2O.ai, and Auto-sklearn.
Model Deployment & Interpretation: Deploying and explaining AutoML-generated models.

Participants will be assessed on:

AutoML Workflow: Understanding and implementing AutoML processes.
Feature Engineering: Using AutoML for automatic feature selection and transformation.
Model Optimization: Hyperparameter tuning and model performance evaluation.
Tool Proficiency: Working with AutoML frameworks such as Google AutoML and H2O.ai.
Model Deployment: Deploying and interpreting AutoML-generated models.

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

Introduction to AutoML & Automated Model Building

Module 1: Understanding AutoML & Its Use Cases
- What is AutoML? Benefits and limitations
- Traditional ML vs. AutoML
- Popular AutoML tools (Google AutoML, H2O.ai, Auto-sklearn, TPOT)
Module 2: Data Preprocessing & Feature Engineering with AutoML
- Automated data cleaning, transformation, and augmentation
- Feature extraction and selection using AutoML
- Handling missing values and categorical data
Module 3: Automated Model Selection & Hyperparameter Tuning
- How AutoML selects models (Decision Trees, Random Forest, Neural Networks, etc.)
- Hyperparameter tuning with AutoML
- Performance evaluation and metric selection

AutoML Tools, Deployment & Real-World Use Cases

Module 4: Working with Leading AutoML Frameworks
- Google AutoML: Cloud-based ML automation
- H2O.ai: Open-source AutoML
- TPOT & Auto-sklearn: AutoML in Python
Module 5: Deploying AutoML Models & Interpretation
- Exporting and deploying models in production environments
- Model explainability & bias detection
- Monitoring and retraining AutoML models
Module 6: Real-World Applications & Case Studies
- AutoML in healthcare, finance, and e-commerce
- Future trends in AutoML and its impact on ML practitioners
Hands-On Labs

Course slides and documentation
Sample datasets and AutoML scripts
Deployment guides and best practices

Participants will complete a final exercises using AutoML for a real-world dataset.
Successful candidates will receive the ProgNXT Certificate of Completion.

AutoML Training and Certification Events in san-francisco

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More Upcoming Session Dates

October 2026

📍 San Francisco, USA

18th Oct 2026→19th Oct 2026

🌐 Online Instructor-Led

28th Oct 2026→29th Oct 2026

November 2026

📍 San Francisco, USA

3rd Nov 2026→4th Nov 2026

🌐 Online Instructor-Led

6th Nov 2026→7th Nov 2026

🌐 Online Instructor-Led

18th Nov 2026→19th Nov 2026

📍 San Francisco, USA

19th Nov 2026→20th Nov 2026

December 2026

🌐 Online Instructor-Led

3rd Dec 2026→4th Dec 2026

📍 San Francisco, USA

12th Dec 2026→13th Dec 2026

🌐 Online Instructor-Led

23rd Dec 2026→24th Dec 2026

📍 San Francisco, USA

24th Dec 2026→25th Dec 2026

Events for other courses in San Francisco, USA

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AutoML Training and Certification in San Francisco