All
Artificial Intelligence eLearning Kit Bundle
Artificial Intelligence eLearning Kit Bundle

Add To Favourites

USD $283.83 to $581.96

Overview

This eLearning Certification Study Kit Bundle provides on-line and off-line access to the course materials you need to complete the Certified Artificial Intelligence Specialist program and prepare for the associated exam.

This Certification Study Kit Bundle contains 3 Modules:

  • Artificial Intelligence Module 1: Fundamental Artificial Intelligence
  • Artificial Intelligence Module 2: Advanced Artificial Intelligence
  • Artificial Intelligence Module 3: Artificial Intelligence Lab

The subscription duration for all kits in the bundle is 1 year from the date of purchase.

Also available is an optional add-on for a pre-paid Pearson VUE voucher for Exam AI90.01.


 

Intended for
Enterprise Architects, Solution Architects, Security Architects, Business Analysts and any person interested in Artificial Intelligence and its technology, uses and methods.


Pre-requisites
An understanding of IT concepts


Learning Outcomes
A comprehensive understanding of artificial intelligence, its uses and applicability to business as well as understanding of techniques and concepts. The following topics are some of the ones that are covered during the course:

  • AI Types (Narrow, General, Symbolic, Non-Symbolic, etc.)
  • Common AI Learning Approaches and Algorithms
  • Supervised Learning, Unsupervised Learning, Continuous Learning
  • Heuristic Learning, Semi-Supervised Learning, Reinforcement Learning
  • Common AI Functional Designsl
  • Computer Vision, Pattern Recognition
  • Robotics, Natural Language Processing (NLP)
  • Speech Recognition, Natural Language Understanding (NLU)
  • Frictionless Integration, Fault Tolerance Model Integration
  • Neural Networks, Neurons, Layers, Links, Weights
  • Understanding AI Models and Training Models and Neural Networks
  • Understanding how Models and Neural Networks Exist
  • Loss, Hyperparameters, Learning Rate, Bias, Epoch
  • Activation Functions (Sigmoid, Tanh, ReLU, Leaky RelU, Softmax, Softplus)
  • Neuron Cell Types 
  • Fundamental and Specialized Neural Network Architectures
  • Perceptron, Feedforward, Deep Feedforward, AutoEncoder, Recurrent, Long/Short Term Memory
  • Deep Convolutional Network, Extreme Learning Machine, Deep Residual Network
  • Support Vector Machine, Kohonen Network, Hopfield Network
  • Generative Adversarial Network, Liquid State Machine
  • How to Build an AI System (Step-by-Step)
  • Common AI System Design Principles and Common AI Project Best Practices

And more…


Note: All quoted pricing is excluding GST. For customers in Australia GST will be added during the check-out process.


Artificial Intelligence Specialist
Artificial Intelligence Specialist

Add To Favourites

USD $2,123.36

Overview

Whether it’s a chat bot that is indistinguishable from a human or a self-driving car, artificial intelligence is here. We have moved on from the days when machines would just follow algorithms, we now need them to make decisions to keep up with the pace of technology and the amount of information. In this course you’ll learn all about Artificial Intelligence.

In this course you’ll learn about types of AI, AI Techniques, Neural Networks, building AI, architectural models and design patterns.


Duration: 3-days


Intended for
Enterprise Architects, Data Scientists, BI Specialists, Data Architects, Solution Architects and other IT Professionals that are responsible for working with and analysing data.


 Pre-requisites
An understanding of Data Analytics or analytical mathematics as well as IT systems is recommended.


Learning Outcomes
A comprehensive understanding of Artificial Intelligence, its concepts, uses and techniques. The following topics are some of the ones that are covered during the course:

  • Key Principles of Artificial Intelligence
  • Modern AI and Cognitive AI
  • The Evolution of AI and Machine Learning
  • AI, Machine Learning and Deep Learning
  • Artificial Intelligence and Business Intelligence
  • Cybernetics and Brain Simulation
  • Language Understanding, Learning and Adaptive Systems and Problem Solving
  • Computer Visions, Pattern Recognition, Expert Systems and Robotics
  • Natural Language Processing (NLP) and Speech Recognition
  • Hybrid Intelligent Systems
  • Frictionless Integration and Fault Tolerance Model Integration
  • Types of AI
  • Artificial Intelligence Techniques
  • Heuristics and Support Vector Machines
  • Artificial Neural Networks and Markov Decision Process
  • Understanding Artificial Neural Networks
  • Neural Network Layers
  • Artificial Neural Network Components
  • Training Neural Networks and Neural Network Activation Functions
  • Understanding the Inter-relationships of AI, Machine Learning and Deep Learning
  • Building AI, General Intelligence, Reasoning and Knowledge Representation
  • Motion and Manipulation, Social Intelligence and Creativity
  • AI Architecture Models and Design Patterns
  • Understanding and Working with Neural Network Architectures
  • Fundamental Neural Network Architectures
  • Memory-Influenced Architectures
  • Parabolicity Cell-Driven Architectures

And more…


In the Details tab you can find more information about this workshop:

  • Topics Covered - High-level description of topics covered during the course
  • Agenda - The full course outlines are provided.
  • Schedule
  • Registration information regarding the cancellation policy.
  • Location Details regarding the planned location of the workshop.
  • Exams and Certification - An explanation of how to take exams and get certified upon completion of the workshop.

 

Note: All quoted pricing is excluding GST. For customers in Australia GST will be added during the check-out process.


Big Data Architect eLearning Kit Bundle
Big Data Architect eLearning Kit Bundle

Add To Favourites

USD $471.86 to $769.98

Overview
Big Data is big business. There are quintillion bytes of data being generated every day. While companies are using Big Data Science to sift through this avalanche of data and find the information that is relevant to the needs of the company, it is the role of the IT Professionals to build the architecture that supports this process. In this course, you will learn the mechanisms, approaches and design patterns that are used to architect Big Data solutions.


 

Intended for
IT Professionals, Solution Architects, Enterprise Architects, Big Data specialists


 

Pre-requisites
An understanding of IT concepts and IT architecture is required for this course.


 

Learning Outcomes

A comprehensive understanding of the approaches, design patterns and the mechanisms that are essential for architecting Big Data systems. Some of the topics covered include:

  • Fundamental Terminology and Concepts
  • Basic Big Data Analytics
  • Big Data and Traditional Business Intelligence and Data Warehouses
  • Common Analysis and Analytics Techniques
  • Automated Recommendation, Classification, Clustering
  • Machine Language, Natural Language, Semantics
  • Big Data Technology Mechanisms
  • Big Data Storage (Query Workload, Sharding, Replication, CAP, ACID, BASE)
  • Big Data Processing
  • New Big Data Mechanisms
  • Enterprise Data Warehouse and Big Data Integration Approaches
  • Architectural Big Data Environments
  • Cloud Computing & Big Data Architectural Considerations
  • Big Data Solution Architectural Layers
  • Big Data Solution Design Patterns
  • Big Data Architectural Compound Patterns

And more


 In the Details tab you can find more information about this eLearning Kit

 

Note: All quoted pricing is excluding GST. For customers in Australia GST will be added during the check-out process.


Big Data Architect eLearning Upgrade Kit Bundle
Big Data Architect eLearning Upgrade Kit Bundle

Add To Favourites

USD $283.83 to $581.96

Overview

Have you completed any other Big Data course from our selection? If so, this upgrade kit will allow you to extend your knowledge without having to repeat the first two modules.

Big Data is big business. There are quintillion bytes of data being generated every day. While companies are using Big Data Science to sift through this avalanche of data and find the information that is relevant to the needs of the company, it is the role of the IT Professionals to build the architecture that supports this process. In this course, you will learn the mechanisms, approaches and design patterns that are used to architect Big Data solutions.

 

Intended for
IT Professionals, Solution Architects, Enterprise Architects, Big Data specialists


 

Pre-requisites
An understanding of IT concepts and IT architecture is required for this course.


 

Learning Outcomes

A comprehensive understanding of the approaches, design patterns and the mechanisms that are essential for architecting Big Data systems. Some of the topics covered include:

  • Fundamental Terminology and Concepts
  • Basic Big Data Analytics
  • Big Data and Traditional Business Intelligence and Data Warehouses
  • Common Analysis and Analytics Techniques
  • Automated Recommendation, Classification, Clustering
  • Machine Language, Natural Language, Semantics
  • Big Data Technology Mechanisms
  • Big Data Storage (Query Workload, Sharding, Replication, CAP, ACID, BASE)
  • Big Data Processing
  • New Big Data Mechanisms
  • Enterprise Data Warehouse and Big Data Integration Approaches
  • Architectural Big Data Environments
  • Cloud Computing & Big Data Architectural Considerations
  • Big Data Solution Architectural Layers
  • Big Data Solution Design Patterns
  • Big Data Architectural Compound Patterns

And more


 In the Details tab you can find more information about this eLearning Kit

 

Note: All quoted pricing is excluding GST. For customers in Australia GST will be added during the check-out process.


Big Data Architect Training
Big Data Architect Training

Add To Favourites

USD $3,163.59 to $3,556.80

Overview
Big Data is big business. There are quintillion bytes of data being generated every day. While companies are using Big Data Science to sift through this avalanche of data and find the information that is relevant to the needs of the company, it is the role of the IT Professionals to build the architecture that supports this process. In this course, you will learn the mechanisms, approaches and design patterns that are used to architect Big Data solutions.


 

Intended for
IT Professionals, Solution Architects, Enterprise Architects, Big Data specialists


 

Pre-requisites
An understanding of IT concepts and IT architecture is required for this course.


 

Learning Outcomes

A comprehensive understanding of the approaches, design patterns and the mechanisms that are essential for architecting Big Data systems. Some of the topics covered include:

  • Fundamental Terminology and Concepts
  • Basic Big Data Analytics
  • Big Data and Traditional Business Intelligence and Data Warehouses
  • Common Analysis and Analytics Techniques
  • Automated Recommendation, Classification, Clustering
  • Machine Language, Natural Language, Semantics
  • Big Data Technology Mechanisms
  • Big Data Storage (Query Workload, Sharding, Replication, CAP, ACID, BASE)
  • Big Data Processing
  • New Big Data Mechanisms
  • Enterprise Data Warehouse and Big Data Integration Approaches
  • Architectural Big Data Environments
  • Cloud Computing & Big Data Architectural Considerations
  • Big Data Solution Architectural Layers
  • Big Data Solution Design Patterns
  • Big Data Architectural Compound Patterns

And more


 

In the Details tab you can find more information about this workshop:

  • Workshop Materials - A list of the materials and text books that are included in the registration fee.
  • Agenda - The individual courses are briefly described and links to full course outlines are provided.
  • Schedule
  • Registration information regarding the cancellation policy.
  • Location Details regarding the planned location of the workshop.
  • Exams and Certification - An explanation of how to take exams and get certified upon completion of the workshop.

 

Note: All quoted pricing is excluding GST. For customers in Australia GST will be added during the check-out process.


Big Data Engineer eLearning Kit Bundle
Big Data Engineer eLearning Kit Bundle

Add To Favourites

USD $471.86 to $769.98

Overview
What is Big Data? It is data that your current systems and techniques are unable to process. Processing this data requires new techniques that also adds to the processing and storage demands of your IT systems. In this 5-module course you’ll learn the patterns, mechanisms and approaches that will enable you to Engineer Big Data solutions.


 

Intended for
Intended for architects and IT Professionals that are responsible for the engineering Big Data solutions as well as Solution Architects, Enterprise Architects, Data Architects, BI Specialists.


Learning Outcomes

A comprehensive understanding of the approaches, design patterns and the mechanisms that are essential for architecting Big Data systems. Some of the topics covered include:

  • Fundamental Terminology and Concepts
  • Basic Big Data Analytics
  • Big Data and Traditional Business Intelligence and Data Warehouses
  • Common Analysis and Analytics Techniques
  • Automated Recommendation, Classification, Clustering
  • Machine Language, Natural Language, Semantics
  • Big Data Technology Mechanisms
  • Big Data Storage Terminologies (including sharding, replication, CAP theorem, ACID, BASE)
  • Big Data Storage Requirements
  • Introduction to NoSQL – NewSQL
  • NoSQL Database Types (including key-value, document, column-family and graph databases)
  • Big Data Processing Requirements
  • MapReduce Explained (including map, combine, partition, shuffle and sort, and reduce)
  • Advanced Big Data Engineering Mechanisms (including serialization & compression engines)
  • In-Memory Storage Devices, In-Memory Data Grids & In-Memory Databases
  • Read-Through, Read-Ahead, Write-Through & Write-Behind Integration Approaches
  • Polyglot Persistence (including Explanation, Issues & Recommendations)
  • Realtime Big Data Processing Concepts (including Speed Consistency Volume (SCV), Event Stream Processing (ESP) & Complex Event Processing (CEP))
  • General Realtime Big Data Processing & Realtime Big Data Processing & MapReduce
  • Bulk Synchronous Parallel (BSP) Processing Engine & BSP vs. MapReduce
  • Big Data Solutions (including Characteristics, Design Considerations & Design Process)

And more…


 The elearning kit is accessible for one year from date of purchase. In the Details tab you can find more information about this eLearning Kit.

Note: All quoted pricing is excluding GST. For customers in Australia GST will be added during the check-out process.


AddedClose
Scroll To Top