Artificial Intelligence Artificial Intelligence Ai Masterclass E-Learning Kurs
Artificial Intelligence Ai Masterclass E-Learning Kurs
€1.302,84 €1.042,06
Artificial Intelligence
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Artificial Intelligence Ai Masterclass E-Learning Kurs

EUR 1.042,06
EUR 1.302,84 exkl. MwSt.

Preishalterntes E-Learning der Ai Meisterkurs für künstliche Intelligenz mit Zugang zu einem Online-Mentor per Chats oder E-Mail und Abschlussprüfungs.

  • E-Learning - Online-Zugang: 365 Tage
  • Englische Sprache
  • Teilnahmeurkunde
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Produktbeschreibung

Artificial Intelligence Ai Masterclass E-Learning

Die Feind der künstlichen Intelligenz. Niederlassungen implementieren KI, weil sie ihre persönlichen Antworten replizieren können, sterben noch schneller und müssen. Diese Reise vermittelt, dass die die, die, sind, um von einem KI-Lehrling zu einem KI-Architekten zu gehören.

ARTIFICIAL INTELLIGENCE - AI APPRENTICE TO AI ARCHITECT

Dieser Lernpfad mit mehr als 57 Stunden Online-Inhalten ist in die folgenden vier Titel unterteilt:

  • Track 1: AI Apprentice
  • Track 2: AI Developer
  • Track 3: AI Practitioner
  • Track 4: AI Architect

Kursinhalt

Track 1: AI Apprentice

In this track of the AI Apprentice to AI Architect journey, the focus is on AI development and theory, HCI principles and methods, AI development with Python, computer vision for AI and cognitive modelling.

E-Learning courses

Artificial Intelligence: Basic AI Theory
Artificial Intelligence: Types of Artificial Intelligence
Artificial Intelligence: Human-computer Interaction Overview
Artificial Intelligence: Human-computer Interaction Methodologies
Python AI Development: Introduction
Python AI Development: Practice
Computer Vision: Introduction
Computer Vision: AI & Computer Vision
Cognitive Models: Overview of Cognitive Models
Cognitive Models: Approaches to Cognitive Learning

Online Mentor

U kunt uw online mentor bereiken door chatten of per e-mail.

Final Exam assessment

Geschatte duur: 90 minuten

Practice Labs: Software Tester (estimated duration: 8 hours)

Perform AI Apprentice tasks such as exploratory data analysis, machine learning regression and classification, and multi-layered perception classification. Then, test your skills by answering assessment questions after performing deep neural network and convolutional neural network classification, as well as performing fully convolutional neural network boundary detection and NLP neural network text analysis. This lab provides access to tools typically used by AI Apprentices, including: o Jupyter Notebook, Python, Anaconda, Scikit-learn, Keras

Track 2: AI Developer

In this track of the AI Apprentice to AI Architect journey, the focus is on Microsoft Cognitive Toolkit (CNTK), working with Keras, Apache Spark, Amazon Machine Learning, robotics, and Google BERT.

E-Learning courses

AI Framework Overview: AI Developer Role
AI Framework Overview: Development Frameworks
Working with Microsoft Cognitive Toolkit (CNTK)
Deep Learning Packages: Keras - a Neural Network Framework
Introducing Apache Spark for AI Development
Implementing AI with Amazon ML
Implementing AI Using Cognitive Modeling
Applying AI to Robotics
Working with Google BERT: Elements of BERT

Online Mentor

U kunt uw online mentor bereiken door chatten of per e-mail.

Final Exam assessment

Geschatte duur: 90 minuten

Practice Labs: QA Specialist (estimated duration: 7 hours)

Perform AI Developer tasks such as implementing prediction models and using the CNTL framework, as well as performing sentiment analysis and image classification. Then, test your skills by answering assessment questions after performing category classification using BERT and prediction analysis using pySpark. This lab provides access to tools typically used by AI Developer, including:
o Jupyter Notebook - Python - Anaconda - Scikit-learn - Keras

Track 3: AI Practitioner

In this track of the AI Apprentice to AI Architect journey, the focus is on advanced CNTK, Keras, Apache Spark, Amazon Machine Learning and building intelligent information systems.

E-Learning collections

The AI Practitioner: Role & Responsibilities
The AI Practitioner: Optimizing AI Solutions
The AI Practitioner: Tuning AI Solutions
Advanced Functionality of Microsoft Cognitive Toolkit (CNTK)
Working with the Keras Framework
Using Apache Spark for AI Development
Extending Amazon Machine Learning
Using Intelligent Information Systems in AI

Online Mentor

U kunt uw online mentor bereiken door chatten of per e-mail.

Final Exam assessment

Geschatte duur: 90 minuten

Practice Labs: QA Lead (estimated duration: 8 hours)

 

Track 4: AI Architect

In this track of the AI Apprentice to AI Architect journey, the focus is on AI enterprise planning, reusable AI architecture patterns, current and future AI technologies and frameworks and XAI.

E-Learning collections

Elements of an Artificial Intelligence Architect
AI Enterprise Planning
AI in Industry
Leveraging Reusable AI Architecture Patterns
Evaluating Current and Future AI Technologies and Frameworks
Explainable AI

Online Mentor

U kunt uw online mentor bereiken door chatten of per e-mail.

Final Exam assessment

Geschatte duur: 90 minuten

Practice Labs: DevOps Automated Tester (estimated duration: 8 hours)

Explore topics and scenarios typically encountered by AI Architects such as working with an AI Steward Board, implementing an AI analytics dashboard, and identifying similarities and differences in AI applications implemented across difference industries. You will also be tasked with identifying the best platform given a scenario, comparing, and contrasting Parameter-Sharing and Federated Learning AI architectures, and applying AI explain ability methods. This lab provides access to tools typically used by AI Architects, including: - Jupyter Notebook - Anaconda

Eigenschaften
Unterrichtsdauer
Sprache Englisch
Online-Zugang 365 Tage
Teilnahmeurkunde Ja
Preisgekröntes Online-Training Ja
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