Artificial Intelligence Artificial Intelligence Ai Masterclass E-Learning
Artificial Intelligence Ai Masterclass E-Learning
€1.249,00 €999,00
Artificial Intelligence
Sale

Artificial Intelligence Ai Masterclass E-Learning

EUR 999,00
EUR 1.249,00 Excl. tax
  • Buy 2 for €979,02 each and save 2%
  • Buy 3 for €969,03 each and save 3%
  • Buy 4 for €959,04 each and save 4%
  • Buy 5 for €949,05 each and save 5%
  • Buy 10 for €899,10 each and save 10%
  • Buy 25 for €849,15 each and save 15%
  • Buy 50 for €799,20 each and save 20%

Award winning Artificial Intelligence Ai Masterclass E-Learning with access to an online mentor via chats or email, final exam assessment and Practice Labs.

  • E-Learning - Online toegang: 365 dagen
  • Taal: Engels (US)
  • Certificaat van deelname
In stock
Order before 4:00 PM and start today.
Quantity
- +
  • Ordered before 23:00, delivered tomorrow
  • Certificaat van deelname
  • Bedrijven bestellen op factuur
  • Betaal in 3x geen extra kosten 0% rente en zonder BKR met in3
  • More information? Contact us about this product
Product description

Artificial Intelligence Ai Masterclass E-Learning

The popularity of Artificial Intelligence (AI) is growing at a very fast pace. Industries are implementing AI as it can replicate human actions but do it faster and more accurately. This Journey will teach you the skills required to go from an AI Apprentice to AI Architect.

ARTIFICIAL INTELLIGENCE - AI APPRENTICE TO AI ARCHITECT

This learning path, with more than 57 hours of online content, is divided into the following four tracks: Track 1: AI Apprentice Track 2: AI Developer Track 3: AI Practitioner Track 4: AI Architect


Cursusinhoud


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

You can reach your Mentor by entering chats or submitting an email.

Final Exam assessment

Estimated duration: 90 minutes

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

You can reach your Mentor by entering chats or submitting an email.

Final Exam assessment

Estimated duration: 90 minutes

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

You can reach your Mentor by entering chats or submitting an email.

Final Exam assessment

Estimated duration: 90 minutes

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

Description will follow shortly

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

You can reach your Mentor by entering chats or submitting an email.

Final Exam assessment

Estimated duration: 90 minutes

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

Specifications
Delivery time Within 1 working day
Online access Standard 12 months
Lesson duration 57 hours
Study load Variable because of practical assignments.
Learning methods Instruction video, Demonstration video, Knowledge Base
Operating systems Microsoft Windows, Google Chrome OS, Apple MacOS
Included services Progress report, 24/7 online access
Supported browsers Internet Explorer, Edge, Firefox, Safari en Chrome
MOS Exam Possible for corresponding exam number
Access to teacher By e-mail and chat
Extra options Virtual Labs (if available)
What our customers say
5,0/5

average of 1 review(s)

Anthony
02/03/2021

This course was so interesting. I have actually visioned a little robot i can communicate with. I think I will take this a step further and explore more with AI.

Read or write a review
My account
You are not logged in. Log in to make use of all the benefits. Or create an account now.
Language
Cart
Your cart is empty
Menu
Search
Search suggestions
No courses or trainings found...
Please accept cookies to help us improve this website Is this OK? Yes No More on cookies »