APMG BIGML Architect certification 2-day & Firebrand Training

Overview

On this accelerated BigML Certified Architect course, you will be able to structure an end-to-end Machine Learning project with the global vision needed to connect all the pieces of the Machine Learning application together for the project to work smoothly.

This course has been designed to be partly hands-on. Your evaluation questions will include simplified versions of real end-to-end Machine Learning applications in different production scenarios (online, batch, event-driven) using different programming languages and tools (Javascript, Python, GitHub, Docker, etc.). Mastering these tools is not the goal or a prerequisite of the course, and commented examples are provided so that you can learn about the coding particulars that need to be used in your answers. Nevertheless, being familiar with them is recommended.

In just 2 days, you’ll learn design and build robust Machine Learning-based applications that operate in real-world environments.

At the end of this course, you’ll achieve your BigML Certified Architect certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

Those who have successfully passed the BigML Certified Engineer course.

Sehen Sie sich jetzt die Preise an, um herauszufinden, wie viel Sie sparen können, wenn Sie doppelt so schnell trainieren.

Preise anfordern

Benefits

In einem Firebrand Intensiv-Training profitieren Sie von folgenden Vorteilen:

Zwei Optionen - Präsenz- oder Onlinetraining
Ablenkungsfreie Lernumgebung
Eigene Trainings- und Prüfungszentren (Pearson VUE Select Partner)
Effektives Training mit praktischen Übungseinheiten und intensiver Betreuung durch unsere Trainer
Umfassendes Leistungspaket mit allem, was Sie benötigen, um Ihre Zertifizierung zu erhalten, inklusive unserer Firebrand Leistungsgarantie.

Machen Sie einen kostenlosen Praxistest, um Ihr Wissen einzuschätzen!

Kostenloser Übungstest

Curriculum

Module 1: Machine Learning Engineering
Real-world Machine Learning
Building end-to-end Machine Learning applications
How to size and address your project

Module 2: Machine Learning Workflows as Predictive Models
Models complexity
Memory requirements
Predictions time lapse
Combined models as a new model

Module 3: Integrating ML in the Data Pipeline I
Single model, time-sensitive predictions
Local memory management
Predict Server

Module 4: Integrating ML in the Data Pipeline III
Multiple models, batch predictions
Retraining and monitoring workflows
Client versus server complexity

Module 5: Models in IoT
BigML Node-RED

Module 6: Machine Learning End-to-End Applications I

Tailored ML apps
Acquiring and defining the data entities
Storing modeling workflows

Module 7: Machine Learning End-to-End Applications II

Data shift monitoring
Retraining and monitoring workflows

Exam Track

At the end of this accelerated course, you’ll achieve your BigML Certified Architect Certification.

What's Included

Prerequisites

Before attending this accelerated course:

You must have successfully passed the BigML Certified Engineer course to be eligible to enrol in the BigML Certified Architect course.

Sind Sie sich unsicher, ob Sie die Voraussetzungen erfüllen? Wir besprechen gerne mit Ihnen Ihren technischen Hintergrund, Erfahrung und Qualifikation, um herauszufinden, ob dieser Intensivkurs der richtige für Sie ist.

Erfahrungsberichte

Bereits 134561 Kursteilnehmer haben seit 2001 erfolgreich einen Firebrand-Kurs absolviert. Unsere aktuellen Kundenbefragungen ergeben: Bei 96.41% unserer Teilnehmer wurde die Erwartungshaltung durch Firebrand übertroffen!

"The instructor demonstrated a high level of professionalism throughout the training sessions, maintaining interactivity and providing valuable insights essential for exam preparation. Group discussions were effectively facilitated, with the trainer strategically assigning participants to groups, fostering fruitful discussions, and subsequently presenting key points to the entire team. The course, organized by Firebrand, exhibited a well-structured curriculum that logically unfolded over the two-day training period. This thoughtful arrangement contributed to a cohesive learning experience. Furthermore, the trainer cultivated a supportive atmosphere conducive to active participation, encouraging questions and fostering meaningful discussions among participants. This approach significantly enhanced the overall quality of the training sessions."
Ryan Lopes, Volkswagen. (11.1.2024 (Donnerstag) bis 12.1.2024 (Freitag))

"Stark komprimiertes Wissen, exzellent vermittelt mit freundlichem Service."
A. R. , NCR. (18.12.2023 (Montag) bis 21.12.2023 (Donnerstag))

"Dies war mein 4. Mal. Für mich ein optimales Konzept!"
n.n.. (18.12.2023 (Montag) bis 20.12.2023 (Mittwoch))

"Very good and intense training to get ready for PMP Certification."
Anonymous. (11.12.2023 (Montag) bis 15.12.2023 (Freitag))

Kurstermine

Start	Ende	Verfügbarkeit	Standort
19.2.2024 (Montag)	20.2.2024 (Dienstag)	Kurs gelaufen - Hinterlasse Kommentar	-
24.6.2024 (Montag)	25.6.2024 (Dienstag)	Warteliste	Überregional
5.8.2024 (Montag)	6.8.2024 (Dienstag)	Einige Plätze frei	Überregional
16.9.2024 (Montag)	17.9.2024 (Dienstag)	Einige Plätze frei	Überregional
28.10.2024 (Montag)	29.10.2024 (Dienstag)	Einige Plätze frei	Überregional
9.12.2024 (Montag)	10.12.2024 (Dienstag)	Einige Plätze frei	Überregional

BigML - Certified Architect