No. Of Days:  5 Days

Time: 9 AM – 4 PM

Course Methodology: Online – On-Site

Certificate: Provided by EMT x CertNexus after the exam

Training Registration Fees – AED 5000

Course Objectives:

• Specify a general approach to solve a given business problem that uses applied AI and ML
• Collect and refine a dataset to prepare it for training and testing.
• Train and tune a machine learning model.
• Finalize a machine learning model and present the results to the appropriate audience.
• Build linear regression models.
• Build classification models.
• Build clustering models.
• Build decision trees and random forests.
• Build support-vector machines (SVMs).
• Build artificial neural networks (ANNs).
• Promote data privacy and ethical practices within AI and ML projects

Topic A: Identify AI and ML Solutions for Business Problems

Topic C: Formulate a Machine Learning Problem

Topic D: Select Appropriate Tools

Lesson 2: Collecting and Refining the Dataset

Topic A: Collect the Dataset

Topic B: Analyze the Dataset to Gain Insights

Topic C: Use Visualizations to Analyze Data
Topic D: Prepare Data

Lesson 3: Setting Up and Training a Model

Course Methodology: Onsite – Instructor Led

Course Objectives:

• Know what it means to be an NFT developer
• Explore different types of tokens
• Learn how to create, buy and sell NFTs on any platform
• Build exciting projects using NFTs

Target Audience: Open to all.

Pre-requisites:

• Remix IDE Walk-through
• Setting up the MetaMask in your Browser
• Installing Development Environment
• Writing our First Smart Contract
• Deploying Smart Contract with Truffle

Training Registration Fees – AED 4000

Certificate Sample: Certificate provided by Blockchain Council after the exam

Module 1: Introduction to Certified NFT Developer

Module 2: A Guide to Tokens

• What are Tokens?
• What are Crypto Tokens
• Broad Categories of Tokens
• Token Generation Mechanism

Module 3: Ethereum Tokens

• Guide to ERCs & EIPs
• ERC-20 Standard
• Trading ERC-20 Tokens
• ERC-721 Standard
• Trading ERC-721 Tokens
• ERC-1155 Tokens

Module 4: Understanding the Non-Fungible Tokens (NFT)

• Non Fungible Tokens: A Little Background
• What’s an NFT?
• The Internet of assets
• How do NFTs work?
• What are NFTs used for?
• Ethereum and NFTs

Module 5: Technology Stacks

• Blockchain Platforms
• Storage Platforms
• NFT Standards & Protocols
• Front-End Frameworks

Module 6: Operations on NFT

• How to buy NFT?
• How to sell NFT?
• How to make NFT?
• Walkthroughs on OpenSea

Module 7: History of Non-Fungible Tokens

• Colored Coins
• CounterParty.io
• CryptoPunks
• CryptoKitties
• Top Projects in NFTs

Module 8: Prerequisites & Installation

• Remix IDE Walk-through
• Setting up the MetaMask in your Browser
• Installing Development Environment
• Writing our First Smart Contract
• Deploying Smart Contract with Truffle
  

Module 9: Project 1 - Building NFT Game

• Building the Ethereum Smart Contract
• Deploying our NFT
• Creating NFT Website
• Interacting with our NFT Smart Contract
• Improving the look of our dApp
• Rendering All Tokens
• Final Game Layout

Module 10: Project 2 - NFT Marketplace on Polygon with ReactJS

• NFT and Marketplace Introduction
• Project Prerequisites and Dependencies
• Creating a NFT Token Contract
• Creating NFT MarketPlace Contract
• Writing Tests for Smart Contracts
• Migrating contracts on development and Mumbai Test Network
• Building Client-side Application
• Using web3 library in Client-side App
• Writing functions for accessing Blockchain data
• Front-end Application Tour

Module 11: Project 3 - Building NFT Book Store

• Introduction to Building NFT Book store
• Implementing ERC1155 Constructor in the Smart Contract
• Creating the Publish Function in the Smart Contract
• Creating the Call Functions in the Smart Contract
• Creating the purchase function in the smart contract
• Deploying the smart contract
• Interacting with the publish function
• Interacting with the call functions
• Interacting with the purchase function
• Creating metadata

Module 12: Project 4 - End-To-End NFT Project [Advanced Collectable]

• Introduction to Advanced Collectible NFT
• Creating Ethereum smart contract
• Creating Function to set token URI
• Creating Python Script to deploy Smart Contract Part-1
• Creating a Python Script to fund the Contract with Link Tokens
• Creating Python Script to deploy Smart Contract Part-2
• Interacting with Smart Contract
• Creating Metadata Part-1
• Creating Metadata Part-2
• Viewing NFT Token in OpenSea website

Course Methodology: Instructor led – Onsite

Course Objectives:

• Fundamental programming concepts and major data structures in Python
• Get hands dirty on code to be able to implement customized code
• Solve real-world problems in Python

Certificate: Certificate of Attendance

Course Outline/ Agenda:

• Intro to Programming, Getting started with Python installation
• Variables, Assignment, Operators, Built-in functions
• While/For Loops
• If statements and conditions
• Arrays/Lists and Data Structures
• Search/Sorting algorithms, Functions
• Import Data Sets, Clean Data Sets, Correlation Analysis
• Define Functions, Object Oriented Design

Target Audience: Open to all. Designed for highly motivated attendees with little or no prior experiencein programming.

Pre-requisites: no prior experience in programming required

• Hardware/Software Requirements for students (if any):
• Hardware - Bring in your own laptop (Mandatory)
• Software – None

Training Registration Fees – AED 3500

InterSystems IRIS Data Platform plays on three vectors: multi-model, HTAP (Hybrid Transactional/Analytical Processing) with the support of row and columnar storage, and hybrid which means it can be used as an In-Memory or In-Persistent database.
It all comes with an application engine for the Python programming language. Neat!

After completing the workshop you’ll learn:
A new Python FrameworkHow to use a multi model database

It is a hands-on workshop, so please make sure to bring your laptops with you.

No. Of Days:  5 Days

Time: 9 AM – 4 PM

Course Methodology: Online – On-Site

Certificate: Provided by EMT x CertNexus after the exam

Training Registration Fees – AED 5000

Course Objectives:

• Specify a general approach to solve a given business problem that uses applied AI and ML
• Collect and refine a dataset to prepare it for training and testing.
• Train and tune a machine learning model.
• Finalize a machine learning model and present the results to the appropriate audience.
• Build linear regression models.
• Build classification models.
• Build clustering models.
• Build decision trees and random forests.
• Build support-vector machines (SVMs).
• Build artificial neural networks (ANNs).
• Promote data privacy and ethical practices within AI and ML projects

Topic A: Identify AI and ML Solutions for Business Problems

Topic C: Formulate a Machine Learning Problem

Topic D: Select Appropriate Tools

Lesson 2: Collecting and Refining the Dataset

Topic A: Collect the Dataset

Topic B: Analyze the Dataset to Gain Insights

Topic C: Use Visualizations to Analyze Data
Topic D: Prepare Data

Lesson 3: Setting Up and Training a Model

Course Methodology: Onsite – Instructor Led

Course Objectives:

• Know what it means to be an NFT developer
• Explore different types of tokens
• Learn how to create, buy and sell NFTs on any platform
• Build exciting projects using NFTs

Target Audience: Open to all.

Pre-requisites:

• Remix IDE Walk-through
• Setting up the MetaMask in your Browser
• Installing Development Environment
• Writing our First Smart Contract
• Deploying Smart Contract with Truffle

Training Registration Fees – AED 4000

Certificate Sample: Certificate provided by Blockchain Council after the exam

Module 1: Introduction to Certified NFT Developer

Module 2: A Guide to Tokens

• What are Tokens?
• What are Crypto Tokens
• Broad Categories of Tokens
• Token Generation Mechanism

Module 3: Ethereum Tokens

• Guide to ERCs & EIPs
• ERC-20 Standard
• Trading ERC-20 Tokens
• ERC-721 Standard
• Trading ERC-721 Tokens
• ERC-1155 Tokens

Module 4: Understanding the Non-Fungible Tokens (NFT)

• Non Fungible Tokens: A Little Background
• What’s an NFT?
• The Internet of assets
• How do NFTs work?
• What are NFTs used for?
• Ethereum and NFTs

Module 5: Technology Stacks

• Blockchain Platforms
• Storage Platforms
• NFT Standards & Protocols
• Front-End Frameworks

Module 6: Operations on NFT

• How to buy NFT?
• How to sell NFT?
• How to make NFT?
• Walkthroughs on OpenSea

Module 7: History of Non-Fungible Tokens

• Colored Coins
• CounterParty.io
• CryptoPunks
• CryptoKitties
• Top Projects in NFTs

Module 8: Prerequisites & Installation

• Remix IDE Walk-through
• Setting up the MetaMask in your Browser
• Installing Development Environment
• Writing our First Smart Contract
• Deploying Smart Contract with Truffle
  

Module 9: Project 1 - Building NFT Game

• Building the Ethereum Smart Contract
• Deploying our NFT
• Creating NFT Website
• Interacting with our NFT Smart Contract
• Improving the look of our dApp
• Rendering All Tokens
• Final Game Layout

Module 10: Project 2 - NFT Marketplace on Polygon with ReactJS

• NFT and Marketplace Introduction
• Project Prerequisites and Dependencies
• Creating a NFT Token Contract
• Creating NFT MarketPlace Contract
• Writing Tests for Smart Contracts
• Migrating contracts on development and Mumbai Test Network
• Building Client-side Application
• Using web3 library in Client-side App
• Writing functions for accessing Blockchain data
• Front-end Application Tour

Module 11: Project 3 - Building NFT Book Store

• Introduction to Building NFT Book store
• Implementing ERC1155 Constructor in the Smart Contract
• Creating the Publish Function in the Smart Contract
• Creating the Call Functions in the Smart Contract
• Creating the purchase function in the smart contract
• Deploying the smart contract
• Interacting with the publish function
• Interacting with the call functions
• Interacting with the purchase function
• Creating metadata

Module 12: Project 4 - End-To-End NFT Project [Advanced Collectable]

• Introduction to Advanced Collectible NFT
• Creating Ethereum smart contract
• Creating Function to set token URI
• Creating Python Script to deploy Smart Contract Part-1
• Creating a Python Script to fund the Contract with Link Tokens
• Creating Python Script to deploy Smart Contract Part-2
• Interacting with Smart Contract
• Creating Metadata Part-1
• Creating Metadata Part-2
• Viewing NFT Token in OpenSea website

Course Methodology: Instructor led – Onsite

Course Objectives:

• Fundamental programming concepts and major data structures in Python
• Get hands dirty on code to be able to implement customized code
• Solve real-world problems in Python

Certificate: Certificate of Attendance

Course Outline/ Agenda:

• Intro to Programming, Getting started with Python installation
• Variables, Assignment, Operators, Built-in functions
• While/For Loops
• If statements and conditions
• Arrays/Lists and Data Structures
• Search/Sorting algorithms, Functions
• Import Data Sets, Clean Data Sets, Correlation Analysis
• Define Functions, Object Oriented Design

Target Audience: Open to all. Designed for highly motivated attendees with little or no prior experiencein programming.

Pre-requisites: no prior experience in programming required

• Hardware/Software Requirements for students (if any):
• Hardware - Bring in your own laptop (Mandatory)
• Software – None

Training Registration Fees – AED 3500

No. Of Days:  5 Days

Time: 9 AM – 4 PM

Course Methodology: Online – On-Site

Certificate: Provided by EMT x CertNexus after the exam

Training Registration Fees – AED 5000

Course Objectives:

• Specify a general approach to solve a given business problem that uses applied AI and ML
• Collect and refine a dataset to prepare it for training and testing.
• Train and tune a machine learning model.
• Finalize a machine learning model and present the results to the appropriate audience.
• Build linear regression models.
• Build classification models.
• Build clustering models.
• Build decision trees and random forests.
• Build support-vector machines (SVMs).
• Build artificial neural networks (ANNs).
• Promote data privacy and ethical practices within AI and ML projects

Topic A: Identify AI and ML Solutions for Business Problems

Topic C: Formulate a Machine Learning Problem

Topic D: Select Appropriate Tools

Lesson 2: Collecting and Refining the Dataset

Topic A: Collect the Dataset

Topic B: Analyze the Dataset to Gain Insights

Topic C: Use Visualizations to Analyze Data
Topic D: Prepare Data

Lesson 3: Setting Up and Training a Model

Course Methodology: Onsite – Instructor Led

Course Objectives:

• Know what it means to be an NFT developer
• Explore different types of tokens
• Learn how to create, buy and sell NFTs on any platform
• Build exciting projects using NFTs

Target Audience: Open to all.

Pre-requisites:

• Remix IDE Walk-through
• Setting up the MetaMask in your Browser
• Installing Development Environment
• Writing our First Smart Contract
• Deploying Smart Contract with Truffle

Training Registration Fees – AED 4000

Certificate Sample: Certificate provided by Blockchain Council after the exam

Module 1: Introduction to Certified NFT Developer

Module 2: A Guide to Tokens

• What are Tokens?
• What are Crypto Tokens
• Broad Categories of Tokens
• Token Generation Mechanism

Module 3: Ethereum Tokens

• Guide to ERCs & EIPs
• ERC-20 Standard
• Trading ERC-20 Tokens
• ERC-721 Standard
• Trading ERC-721 Tokens
• ERC-1155 Tokens

Module 4: Understanding the Non-Fungible Tokens (NFT)

• Non Fungible Tokens: A Little Background
• What’s an NFT?
• The Internet of assets
• How do NFTs work?
• What are NFTs used for?
• Ethereum and NFTs

Module 5: Technology Stacks

• Blockchain Platforms
• Storage Platforms
• NFT Standards & Protocols
• Front-End Frameworks

Module 6: Operations on NFT

• How to buy NFT?
• How to sell NFT?
• How to make NFT?
• Walkthroughs on OpenSea

Module 7: History of Non-Fungible Tokens

• Colored Coins
• CounterParty.io
• CryptoPunks
• CryptoKitties
• Top Projects in NFTs

Module 8: Prerequisites & Installation

• Remix IDE Walk-through
• Setting up the MetaMask in your Browser
• Installing Development Environment
• Writing our First Smart Contract
• Deploying Smart Contract with Truffle
  

Module 9: Project 1 - Building NFT Game

• Building the Ethereum Smart Contract
• Deploying our NFT
• Creating NFT Website
• Interacting with our NFT Smart Contract
• Improving the look of our dApp
• Rendering All Tokens
• Final Game Layout

Module 10: Project 2 - NFT Marketplace on Polygon with ReactJS

• NFT and Marketplace Introduction
• Project Prerequisites and Dependencies
• Creating a NFT Token Contract
• Creating NFT MarketPlace Contract
• Writing Tests for Smart Contracts
• Migrating contracts on development and Mumbai Test Network
• Building Client-side Application
• Using web3 library in Client-side App
• Writing functions for accessing Blockchain data
• Front-end Application Tour

Module 11: Project 3 - Building NFT Book Store

• Introduction to Building NFT Book store
• Implementing ERC1155 Constructor in the Smart Contract
• Creating the Publish Function in the Smart Contract
• Creating the Call Functions in the Smart Contract
• Creating the purchase function in the smart contract
• Deploying the smart contract
• Interacting with the publish function
• Interacting with the call functions
• Interacting with the purchase function
• Creating metadata

Module 12: Project 4 - End-To-End NFT Project [Advanced Collectable]

• Introduction to Advanced Collectible NFT
• Creating Ethereum smart contract
• Creating Function to set token URI
• Creating Python Script to deploy Smart Contract Part-1
• Creating a Python Script to fund the Contract with Link Tokens
• Creating Python Script to deploy Smart Contract Part-2
• Interacting with Smart Contract
• Creating Metadata Part-1
• Creating Metadata Part-2
• Viewing NFT Token in OpenSea website

No. Of Days:  3 Days

Time: 9 AM – 4 PM

Location: TBA

Course Methodology: On-Site – Instructor led

Certificate: Provided by EMT x Certnexus after the exam

Training Registration Fees – AED 3500

Course Objectives:

• Identify the need for security in your software projects.
• Eliminate vulnerabilities within software.
• Use a Security by Design approach to design a secure architecture for your software.
• Implement common protections to protect users and data.
• Apply various testing methods to find and correct security defects in your software.
• Maintain deployed software to ensure ongoing security.

Prerequisities:

This course presents secure programming concepts that apply to many different types of software development projects. Although this course uses Python®, HTML, and JavaScript® to demonstrate various programming concepts, you do not need to have experience in these languages to benefit from this course. However, you should have some programming experience, whether it be developing desktop, mobile, web, or cloud applications.
Logical Operations provides a variety of courses covering software development that you might use to prepare for this course, such as:

• Python® Programming: Introduction
• Python® Programming: Advanced
• HTML5: Content Authoring with New and Advanced Features
• SQL Querying: Fundamentals (Second Edition)

Lesson 1: Identifying the Need for Security in Your Software Projects

Topic A: Identify Security Requirements and Expectations

Topic B: Identify Factors That Undermine Software Security

Topic C: Find Vulnerabilities in Your Software

Topic D: Gather Intelligence on Vulnerabilities and Exploits

Lesson 2: Handling Vulnerabilities

Topic A: Handle Vulnerabilities Due to Software Defects and Misconfiguration

Topic B: Handle Vulnerabilities Due to Human Factors

Topic C: Handle Vulnerabilities Due to Process Shortcomings

Lesson 3: Designing for Security

Topic A: Apply General Principles for Secure Design

Topic B: Design Software to Counter Specific Threats

Lesson 4: Developing Secure Code

Topic A: Follow Best Practices for Secure Coding

Topic B: Prevent Platform Vulnerabilities

Topic C: Prevent Privacy Vulnerabilities

Lesson 5: Implementing Common Protections

Topic A: Limit Access Using Login and User Roles

Topic B: Protect Data in Transit and At Rest

Topic C: Implement Error Handling and Logging

Topic D: Protect Sensitive Data and Functions

Topic E: Protect Database Access

Lesson 6: Testing Software Security

Topic A: Perform Security Testing

Topic B: Analyze Code to find Security Problems

Topic C: Use Automated Testing Tools to Find Security Problems

Lesson 7: Maintaining Security in Deployed Software

Topic A: Monitor and Log Applications to Support Security

Topic B: Maintain Security after Deployment

Hardware:

For this course, you will need one computer for each student and one for the instructor. Each computer

will need the following minimum hardware configurations:

• 1 GHz or faster 32-bit (x86) or 64-bit (x64) processor
• 2 gigabytes (GB) RAM (32-bit or 64-bit)
• 20 GB available hard disk space (32-bit or 64-bit)
• Keyboard and mouse (or other pointing device)
• 1,024 x 768 resolution monitor recommended
• Projection system to display the instructor''s computer screen
• Local area network and Internet connection

Software:

• Windows® 10/8.1/8/7/Vista (64-bit). This course was successfully keyed on Windows 10. Some
• activity steps may not key exactly as written if students key on a different version of Windows.
• Python version 3.8.1 (python-3.8.1.amd64.msi, provided with the course data files).
• PyCharm Community Edition version 2019.3.3 (pycharm-community-2019.3.3.exe, provided
• with the course data files). Python is distributed under the Python Software Foundation License
• (PSFL). PyCharm Community Edition is distributed under the Apache® License 2.0.
• If necessary, software for viewing the course slides. (Instructor machine only.)

• Under an MIT license, Pandera provides a flexible and expressive API for performing data validation on dataframes to make data processing pipelines more readable and robust.
• Creating a dataframe validation library for scientists, engineers, and analysts seeking correctness
• Using Pandera to define, check, synthesize, validate and integrate data with Python tools like pydantic and mypy

• Why do we need Quantum Computing?
• What is Quantum Computing Fundamentals of Quantum Computing Different Industry Application
• How Quantum Computing is accessible via Cloud
• Live Coding Session
• Challenges in Quantum Computing

This hands-on workshop will teach you all you need to know to get up and running with streaming data in Redis, and how to scale and manage your event processing application.

Who should attend:

• This workshop is suitable for software developers, architects and data scientists at all levels, who are interested in streaming data and key-value data stores.
• Attendees should have some familiarity with Node.js and Python, but do not need to be able to code in these languages - example code will be provided.

Benefits of attending:

• You'll learn how to use Redis Streams in a heterogeneous microservices architecture.
• Gain hands-on experience using Node.js, Python and Redis in the cloud.
• Discover how Redis can be used for so much more than just caching, which is where most developers usually encounter it.

No. Of Days:  5 Days

Time: 9 AM – 4 PM

Course Methodology: Online – On-Site

Certificate: Provided by EMT x CertNexus after the exam

Training Registration Fees – AED 5000

Course Objectives:

• Specify a general approach to solve a given business problem that uses applied AI and ML
• Collect and refine a dataset to prepare it for training and testing.
• Train and tune a machine learning model.
• Finalize a machine learning model and present the results to the appropriate audience.
• Build linear regression models.
• Build classification models.
• Build clustering models.
• Build decision trees and random forests.
• Build support-vector machines (SVMs).
• Build artificial neural networks (ANNs).
• Promote data privacy and ethical practices within AI and ML projects

Topic A: Identify AI and ML Solutions for Business Problems

Topic C: Formulate a Machine Learning Problem

Topic D: Select Appropriate Tools

Lesson 2: Collecting and Refining the Dataset

Topic A: Collect the Dataset

Topic B: Analyze the Dataset to Gain Insights

Topic C: Use Visualizations to Analyze Data
Topic D: Prepare Data

Lesson 3: Setting Up and Training a Model

Course Methodology: Onsite – Instructor Led

Course Objectives:

No. Of Days:  3 Days

Time: 9 AM – 4 PM

Location: TBA

Course Methodology: On-Site – Instructor led

Certificate: Provided by EMT x Certnexus after the exam

Training Registration Fees – AED 3500

Course Objectives:

• Identify the need for security in your software projects.
• Eliminate vulnerabilities within software.
• Use a Security by Design approach to design a secure architecture for your software.
• Implement common protections to protect users and data.
• Apply various testing methods to find and correct security defects in your software.
• Maintain deployed software to ensure ongoing security.

Prerequisities:

This course presents secure programming concepts that apply to many different types of software development projects. Although this course uses Python®, HTML, and JavaScript® to demonstrate various programming concepts, you do not need to have experience in these languages to benefit from this course. However, you should have some programming experience, whether it be developing desktop, mobile, web, or cloud applications.
Logical Operations provides a variety of courses covering software development that you might use to prepare for this course, such as:

• Python® Programming: Introduction
• Python® Programming: Advanced
• HTML5: Content Authoring with New and Advanced Features
• SQL Querying: Fundamentals (Second Edition)

Lesson 1: Identifying the Need for Security in Your Software Projects

Topic A: Identify Security Requirements and Expectations

Topic B: Identify Factors That Undermine Software Security

Topic C: Find Vulnerabilities in Your Software

Topic D: Gather Intelligence on Vulnerabilities and Exploits

Lesson 2: Handling Vulnerabilities

Topic A: Handle Vulnerabilities Due to Software Defects and Misconfiguration

Topic B: Handle Vulnerabilities Due to Human Factors

Topic C: Handle Vulnerabilities Due to Process Shortcomings

Lesson 3: Designing for Security

Topic A: Apply General Principles for Secure Design

Topic B: Design Software to Counter Specific Threats

Lesson 4: Developing Secure Code

Topic A: Follow Best Practices for Secure Coding

Topic B: Prevent Platform Vulnerabilities

Topic C: Prevent Privacy Vulnerabilities

Lesson 5: Implementing Common Protections

Topic A: Limit Access Using Login and User Roles

Topic B: Protect Data in Transit and At Rest

Topic C: Implement Error Handling and Logging

Topic D: Protect Sensitive Data and Functions

Topic E: Protect Database Access

Lesson 6: Testing Software Security

Topic A: Perform Security Testing

Topic B: Analyze Code to find Security Problems

Topic C: Use Automated Testing Tools to Find Security Problems

Lesson 7: Maintaining Security in Deployed Software

Topic A: Monitor and Log Applications to Support Security

Topic B: Maintain Security after Deployment

Hardware:

For this course, you will need one computer for each student and one for the instructor. Each computer

will need the following minimum hardware configurations:

• 1 GHz or faster 32-bit (x86) or 64-bit (x64) processor
• 2 gigabytes (GB) RAM (32-bit or 64-bit)
• 20 GB available hard disk space (32-bit or 64-bit)
• Keyboard and mouse (or other pointing device)
• 1,024 x 768 resolution monitor recommended
• Projection system to display the instructor''s computer screen
• Local area network and Internet connection

Software:

• Windows® 10/8.1/8/7/Vista (64-bit). This course was successfully keyed on Windows 10. Some
• activity steps may not key exactly as written if students key on a different version of Windows.
• Python version 3.8.1 (python-3.8.1.amd64.msi, provided with the course data files).
• PyCharm Community Edition version 2019.3.3 (pycharm-community-2019.3.3.exe, provided
• with the course data files). Python is distributed under the Python Software Foundation License
• (PSFL). PyCharm Community Edition is distributed under the Apache® License 2.0.
• If necessary, software for viewing the course slides. (Instructor machine only.)

• Introduction to Python basic programming: Statements, loops, methods and functions
• PyGame basics: Introduction to colors, sounds, movements, and shapes
• UX: Building the player characters with additional features and capabilities, basic mathematical measurements, player collisions
• Exporting sprites to the game for a much more real look and feel
• Deploying the newly created game on a digital platform
• Test and play! Target audience: Beginners in Python, school and college students

Have you ever built a real robot without instructions? Join our crazy lab and make your first DIY robot  following only your creativity and your imagination!

What will you learn from attending this workshop:
• Boost your problem-solving ability, trying to understand by your own how your robot could work
• Trust the teamwork power, collaborating with others to achieve complex solutions
• Use your full range of creativity, making your craziest ideas come true
• Improve your lateral thinking, finding unusual approaches with standard tools

In this workshop, aspiring coders will explore Apple’s latest release of Swift Playgrounds: version 4 which was launched just last December. With Swift Playgrounds 4, it is now possible to create an app and publish it to the App Store directly from an iPad. The software provides a number of templates which users can adapt by adding their own content. During the workshop, participants will get to see and experiment with an app created by aspiring coders from Italy who attended Expo in February as part of a CodEng code camp.

• Duration: 90 min.
• Age group: 13 - 18 years,
• Participants: 20 (pair programming)
• Level: beginner/intermediate Facilities required: projector, screen, 10 iPads with Swift Playgrounds 4 installed

No. Of Days:  5 Days

Time: 9 AM – 4 PM

Course Methodology: Online – On-Site

Certificate: Provided by EMT x CertNexus after the exam

Training Registration Fees – AED 5000

Course Objectives:

• Specify a general approach to solve a given business problem that uses applied AI and ML
• Collect and refine a dataset to prepare it for training and testing.
• Train and tune a machine learning model.
• Finalize a machine learning model and present the results to the appropriate audience.
• Build linear regression models.
• Build classification models.
• Build clustering models.
• Build decision trees and random forests.
• Build support-vector machines (SVMs).
• Build artificial neural networks (ANNs).
• Promote data privacy and ethical practices within AI and ML projects

Topic A: Identify AI and ML Solutions for Business Problems

Topic C: Formulate a Machine Learning Problem

Topic D: Select Appropriate Tools

Lesson 2: Collecting and Refining the Dataset

Topic A: Collect the Dataset

Topic B: Analyze the Dataset to Gain Insights

Topic C: Use Visualizations to Analyze Data
Topic D: Prepare Data

Lesson 3: Setting Up and Training a Model

Course Methodology: Onsite – Instructor Led

Course Objectives:

No. Of Days:  3 Days

Time: 9 AM – 4 PM

Location: TBA

Course Methodology: On-Site – Instructor led

Certificate: Provided by EMT x Certnexus after the exam

Training Registration Fees – AED 3500

Course Objectives:

• Identify the need for security in your software projects.
• Eliminate vulnerabilities within software.
• Use a Security by Design approach to design a secure architecture for your software.
• Implement common protections to protect users and data.
• Apply various testing methods to find and correct security defects in your software.
• Maintain deployed software to ensure ongoing security.

Prerequisities:

This course presents secure programming concepts that apply to many different types of software development projects. Although this course uses Python®, HTML, and JavaScript® to demonstrate various programming concepts, you do not need to have experience in these languages to benefit from this course. However, you should have some programming experience, whether it be developing desktop, mobile, web, or cloud applications.
Logical Operations provides a variety of courses covering software development that you might use to prepare for this course, such as:

• Python® Programming: Introduction
• Python® Programming: Advanced
• HTML5: Content Authoring with New and Advanced Features
• SQL Querying: Fundamentals (Second Edition)

Lesson 1: Identifying the Need for Security in Your Software Projects

Topic A: Identify Security Requirements and Expectations

Topic B: Identify Factors That Undermine Software Security

Topic C: Find Vulnerabilities in Your Software

Topic D: Gather Intelligence on Vulnerabilities and Exploits

Lesson 2: Handling Vulnerabilities

Topic A: Handle Vulnerabilities Due to Software Defects and Misconfiguration

Topic B: Handle Vulnerabilities Due to Human Factors

Topic C: Handle Vulnerabilities Due to Process Shortcomings

Lesson 3: Designing for Security

Topic A: Apply General Principles for Secure Design

Topic B: Design Software to Counter Specific Threats

Lesson 4: Developing Secure Code

Topic A: Follow Best Practices for Secure Coding

Topic B: Prevent Platform Vulnerabilities

Topic C: Prevent Privacy Vulnerabilities

Lesson 5: Implementing Common Protections

Topic A: Limit Access Using Login and User Roles

Topic B: Protect Data in Transit and At Rest

Topic C: Implement Error Handling and Logging

Topic D: Protect Sensitive Data and Functions

Topic E: Protect Database Access

Lesson 6: Testing Software Security

Topic A: Perform Security Testing

Topic B: Analyze Code to find Security Problems

Topic C: Use Automated Testing Tools to Find Security Problems

Lesson 7: Maintaining Security in Deployed Software

Topic A: Monitor and Log Applications to Support Security

Topic B: Maintain Security after Deployment

Hardware:

For this course, you will need one computer for each student and one for the instructor. Each computer

will need the following minimum hardware configurations:

• 1 GHz or faster 32-bit (x86) or 64-bit (x64) processor
• 2 gigabytes (GB) RAM (32-bit or 64-bit)
• 20 GB available hard disk space (32-bit or 64-bit)
• Keyboard and mouse (or other pointing device)
• 1,024 x 768 resolution monitor recommended
• Projection system to display the instructor''s computer screen
• Local area network and Internet connection

Software:

• Windows® 10/8.1/8/7/Vista (64-bit). This course was successfully keyed on Windows 10. Some
• activity steps may not key exactly as written if students key on a different version of Windows.
• Python version 3.8.1 (python-3.8.1.amd64.msi, provided with the course data files).
• PyCharm Community Edition version 2019.3.3 (pycharm-community-2019.3.3.exe, provided
• with the course data files). Python is distributed under the Python Software Foundation License
• (PSFL). PyCharm Community Edition is distributed under the Apache® License 2.0.
• If necessary, software for viewing the course slides. (Instructor machine only.)