Location
All
Artificial Intelligence Specialist
Artificial Intelligence Specialist

Add To Favourites

USD $2,114.63

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 Training
Big Data Architect Training

Add To Favourites

USD $3,150.58 to $3,880.37

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 Training
Big Data Engineer Training

Add To Favourites

USD $3,150.58 to $3,880.37

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-day 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…


 

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 Science Professional Training
Big Data Science Professional Training

Add To Favourites

USD $1,890.35 to $2,331.78

Overview
There are quintillion bytes of data being generated every day. Big Data Science techniques provide the necessary approaches to sift through this avalanche of data and find the information that is relevant to the needs of your organisation. In this course, you will learn the algorithms, mathematical and statistical techniques and application of analytics to process Big Data.


Intended for
Data Scientists, BI Specialists, Business Analysts, Data Architects and other IT Professionals that are responsible for the creating the algorithms and approaches that will be used to analyse Big Data.


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


Learning Outcomes
A good understanding of Big Data and some of the techniques and approaches required to analyse it will be gained throughout this course. Some of the topics include:

  • Fundamental Terminology and Concepts
  • Characteristics of Big Data
  • Benefits of Adopting Big Data
  • Challenges and Limitations of Big Data
  • Basic Big Data Analytics
  • Big Data and Traditional Business Intelligence and Data Warehouses
  • Big Data Visualization
  • Common Adoption Issues
  • Planning for Big Data Initiatives
  • The Big Data Analysis Lifecycle
  • Common Analysis and Analytics Techniques
  • Machine Language, Natural Language, Semantics
  • Data Visualization and Visual Analysis
  • Assessing Hierarchies, Part-to-Whole Relationships
  • Plotting Connections and Relationships, Mapping Geo-Spatial Data
  • Foundational Big Data Technology Mechanisms
  • Big Data Storage
  • Big Data Processing
  • Big Data & Cloud Computing

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 Scientist Training
Big Data Scientist Training

Add To Favourites

USD $3,150.58 to $3,880.37

Overview
There are quintillion bytes of data being generated every day. Big Data Science techniques provide the necessary approaches to sift through this avalanche of data and find the information that is relevant to the needs of your organisation. In this course, you will learn the algorithms, mathematical and statistical techniques and application of analytics to process Big Data.


Duration
5-days


Intended for
Data Scientists, BI Specialists, Business Analysts, Data Architects and other IT Professionals that are responsible for the creating the algorithms and approaches that will be used to analyse Big Data.


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


 Learning Outcomes
A solid understanding of Big Data and the techniques and approaches required to analyse it will be gained throughout this course. Some of the topics include:

  • Fundamental Terminology and Concepts
  • Big Data and Traditional Business Intelligence and Data Warehouses
  • Common Analysis and Analytics Techniques
  • Automated Recommendation, Classification, Clustering
  • Machine Language, Natural Language, Semantics
  • Data Visualization and Visual Analysis
  • Assessing Hierarchies, Part-to-Whole Relationships
  • Plotting Connections and Relationships, Mapping Geo-Spatial Data
  • Data Science, Data Mining & Data Modeling
  • Exploratory Data Analysis (EDA)
  • Statistics Analysis (including descriptive, inferential, correlation, covariance & hypothesis testing)
  • Data Munging & Machine Learning
  • Statistical Measures & Statistical Inference
  • Distributions & Data Processing Techniques
  • Data Discretization, Binning, Clustering
  • Visualization Techniques & Numerical Summaries
  • Machine Learning Algorithms, Pattern Identification
  • Advanced Statistical Techniques
  • Linear Regression & Logistic Regression for Big Data
  • Decision Trees for Big Data
  • Classification Rules for Big Data
  • K Nearest Neighbor (kNN) for Big Data
  • Naïve Bayes for Big Data
  • Association Rules for Big Data
  • K-means for Big Data
  • Text Analytics for Big Data
  • Outlier Detection for Big Data

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.


Blockchain Architect
Blockchain Architect

Add To Favourites

USD $2,114.63

Overview

Blockchain is more than just BitCoin or any other Crypto Currency, it’s an append-only general ledger that is consensus driven. It has been used to provide solutions in identity, security, health records, finance, logistics, insurance and many more. In this course you’ll learn the essential business drivers and the technology of blockchain as well as the mechanisms and inner workings.


Duration: 3-days


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


 Pre-requisites
An understanding of IT concepts


Learning Outcomes
A comprehensive understanding of blockchain, 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:

  • Drivers, Benefits and Challenges of Blockchain
  • Blockchain Value Propositions
  • Industrial Impacts of Blockchain on Different Industry Verticals
  • Fundamental Components of a Blockchain Architecture
  • Blocks, Nodes, Verifiers/Verification and Chaining
  • Consensus and Group Consensus
  • Public vs. Private / Permissionless vs. Permissioned Blockchains
  • Coins, Tokens, Smart Contracts
  • Basics of Cryptography Algorithms (Crypto Hashing)
  • Centralized Ledger vs Decentralized Ledger
  • Fundamental Blockchain Security Considerations
  • Blockchain and Cryptocurrency
  • DevOps for Blockchain Development
  • Blockchain Availability, Scalability and Anonymity
  • On-Chain and Off-Chain Transactions
  • Public and Private Blockchain Types
  • Smart Contract, Distributed Ledgers and Consensus
  • Proof of Work (PoW) and Proof of Stake (PoS)
  • Delegated Proof of Stake (DPoS) and Leased Proof of Stake (LPoS)
  • Proof of Importance (PoI) and Proof of Elapsed Time (PoET)
  • Decentralized Blockchain Solution Architectures
  • Smart Contracts Drill-Down and Data Sovereignty
  • Transaction Signing, Cryptography and Digital Signatures with Blockchain
  • Blockchain Integrity
  • Cloud Computing and Blockchain, Blockchain-as-a-Service
  • Blockchain Security and IoT

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.


AddedClose
Scroll To Top