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Artificial Intelligence Specialist
Artificial Intelligence Specialist

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USD $2,134.52

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.


Blockchain Architect
Blockchain Architect

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USD $2,134.52

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.


Containerization Architect
Containerization Architect

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USD $2,134.52

Overview
You heard about them, you read about them now learn and understand why they are so popular and how they can be used to make software deployment and operation easier. Containers are the next level in virtualisation technology. They are light weight and more scalable than virtual machines. In this course you’ll learn what they are, why they are important, how they work and how to architect solutions using containers.


Duration: 3-days


Intended for
IT Professionals, Solution architects, Enterprise Architects, Infrastructure Architects, Systems Administrators, Systems Engineers, those that are interested in or need to create solutions that utilise containers


 Pre-requisites
An understanding of IT fundamentals including infrastructure, software and networking is recommended. Additionally, understanding of virtualisation and virtual machines is beneficial.


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

  • Containers vs. Virtual Machines and Server Virtualization
  • LXC/LDX, Docker and Kubernetes
  • Technical and Business Benefits and Challenges of using Containers
  • Container Architectural Models
  • Container Engines, Build Files and Images
  • Cloud-based Containers and Container Pods
  • Container Scalability and Availability
  • Container Configuration Management
  • Containers and Infrastructure as Code (IaC) and Configuration as Code (CaC)
  • Containerizing Stateful Applications
  • Containers and Namespaces
  • Fundamental Containerization Patterns and Mechanisms
  • Rich Containers and Serverless Deployment
  • Container Chains and Sidecars
  • Utilizing Containers with DevOps and CI/CD
  • Hyper Containers and Containers Deployment Models
  • Customizing and Distributing Container Images
  • Container Execution Environments
  • Managing and Controlling Container Traffic Types
  • Container Storage Management
  • Container Clustering and Scalable Cluster Architectures
  • Container Proxies and APIs
  • Self-Healing Applications with Containers
  • Container Security Considerations and Digital Certificates
  • Container Lifecycle Management and Monitoring Containers
  • Container Backup and Recovery
  • Advanced Containerization Patterns and Mechanisms
  • Single-Node Multi-Containers and Multi-Container Isolation Control

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.


DevOps Specialist
DevOps Specialist

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USD $2,134.52

Overview

A key requirement of successful DevOps enablement is a common understanding of the concepts and approach across various teams. In this vendor-neutral course you will learn the enablers of DevOPs as well as the approaches and design patterns that need to be followed for success. Recommended for anyone who is working with or interested in DevOps and automation.

In this course you’ll learn about CI/CD Pipelines, automated configuration management, Infrastructure-as-Code, Policy-as-Code and more.


Duration: 3-days


Intended for

IT Professionals, Business Analysts, Solution architects, Enterprise Architects, Infrastructure Architects, systems administrators, security professionals, release managers, change managers, Directors, Project Managers, Systems Engineers


 Pre-requisites

An understanding of IT fundamentals including infrastructure, software and testing and the software delivery lifecycle is recommended.


 

Learning Outcomes

A sound understanding of the concepts, techniques and approaches to successful DevOps in any organisation. The following primary topics are covered:

  • DevOps Rapid Delivery and Scalability
  • DevOps Collaborative Practices
  • Continuous Integration (CI) and Continuous Delivery (CD)
  • Automated Configuration Management and
  • Infrastructure-as-Code (IaC) and Policy-as-Code (PaC)
  • Value Stream Mapping and Preparing for Failure
  • Kanban and the Deming Cycle
  • DevOps Platforms and Toolchains
  • Measuring DevOps (Metrics and Monitoring)
  • DevOps and Microservices
  • Agile and Integrated Pipelines with DevOps
  • DevOps and Organizational integration
  • DevOps Roles and Responsibilities and Managing People through Change
  • Creating and managing Deployment Pipelines
  • Continuous Integration (CI) Drill-Down
  • Continuous Change and Managing Change
  • Applying the DevOps Lifecycle and Stages
  • Managing Data Flow and Version Control
  • Deployment and Release Management

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.


Internet of Things (IoT) Architect
Internet of Things (IoT) Architect

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USD $2,134.52

Overview

These days everything is connected to the internet. From our watches to our fridges. Most utilities companies now offer IoT enabled services and meters. We can control the electrical devices in our homes using the assistants on our mobiles. IoT is used by all industries from logistics, manufacturing and utilities to sports associations. Have you been tasked with building an IoT capability for your organisation or just want to understand what IoT is? This three day course will teach you the why, how and what of IoT.


Duration: 3-days


Intended for
IT Professionals, Business Analysts, Solution architects, Enterprise Architects, Infrastructure Architects, systems administrators, security professionals, Systems Engineers


 Pre-requisites
An understanding of IT fundamentals including infrastructure, software and networking is recommended.


Learning Outcomes
A comprehensive understanding of IoT, 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:

  • Understanding IoT Business Models and Design Processes
  • Any X-Point of View and IoT Characteristics
  • Intelligence model and Hybrid Architecture
  • Scalability and Unprecedent Events
  • Communication protocols and Localization
  • Everything-as-a-Service (XaaS)
  • IoT in Different Domains and Industries
  • IoT Enabling Technologies
  • Communication and Networking Technologies
  • IoT Software Technologies and Algorithms
  • IoT and Big Data, Machine Learning and Artificial Intelligence
  • IoT High Level Architecture Overview
  • Node, Network, Communication and Access Layers
  • IoT Security and Privacy Challenges
  • IoT Business, Functional and Technology Architectures
  • IoT Application, Protocol, Data and Analytics Architectures
  • IoT Device Specifications, Types, and Access
  • IoT Device Data Store and Transfer Capabilities
  • IoT Data Collection Mechanics
  • SQL RDBMS, NoSQL and Time Series Data
  • Human-to-Machine, Machine-to-Human, Machine-to-Machine Interactions
  • IoT Communication Channels and Protocol Technologies
  • IoT Device or Service Discovery
  • Open Hybrid, Shazam and Chrips
  • IoT Data Link Layer Protocols and OSI

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.


Machine Learning Specialist
Machine Learning Specialist

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USD $2,134.52

Overview
Let’s face it, with the amount of data that is being generated today, it is impossible for any human to analyse in a timely manner. The variety of data also presents the problem that by the time we understand the data and formulate a way to measure its importance, we are already behind. This is where machine learning comes in.

In this course you’ll learn what Machine Learning is, the specific learning approaches, languages and models as well as system design and Neural Networks.


Duration: 3-days


Intended for
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 and IT systems is recommended.


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

  • Understanding Machine Learning and Deep Learning
  • Benefits and Challenges of Machine Learning
  • Machine Learning Languages
  • Machine Learning and Data Science, Artificial Intelligence
  • Machine Learning for Recommendation Systems and Match Making
  • Natural Language Processing (NLP) and Search Engines
  • Supervised, Unsupervised and Semi-Supervised Learning
  • Open Source and Proprietary Machine Learning Frameworks
  • Machine Learning Libraries and Scalability Dimensions
  • Machine Learning Architectures and Algorithms
  • Data Processing with Machine Learning
  • Decision Tree Algorithm and Classification and Regression Tree (CART)
  • Iterative Dichotomiser 3 (ID3) and C4.5/C5.0
  • Chi-squared Automatic Interaction Detection (CHAID), Decision Stump and M5
  • Conditional Decision Trees
  • Linear, Logistic, Stepwise and Ordinary Least Squares Regression (OLSR)
  • Multivariate Adaptive Regression Splines (MARS) and Locally Estimated
  • Scatterplot Smoothing (LOESS)
  • Understanding Machine Learning Algorithms
  • Machine Learning System Design
  • Classification
  • Clustering
  • Rule Systems
  • Mapping, Projection Pursuit and Multidimensional Scaling) (MDS)
  • Linear, Mixture, Quadratic and Flexible Discriminant Analyses
  • Constructing Hypotheses using Instance-based Models
  • Building Artificial Neural Network Constructs with Deep Learning
  • Constructing Machine Learning Models using Neural Networks

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.


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