IT Training Courses in Dubai

Course Details

SAP Training for Corporate or Individual, Al Barsha, Mall of Emirates Now!

𝐎𝐧𝐞 𝐨𝐧 𝐎𝐧𝐞 𝐂𝐥𝐚𝐬𝐬𝐫𝐨𝐨𝐦 𝐚𝐧𝐝 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞

Two hours per session 2-3 times in a week Fast Track: 5-7 days training with a dedicated trainer Flexible training in morning, afternoon and evening weekdays & weekend

Course Details

MS-Office Training for Corporate or Individual, Al Barsha, Mall of Emirates Now!

Two hours per session 2-3 times in a week

Fast Track: 5-7 days training with a dedicated trainer

Flexible training in morning, afternoon and evening weekdays & weekend

Course Details

Graphic Designing Training for Corporate or Individual, Al Barsha, Mall of Emirates Now!

Two hours per session 2-3 times in a week

Fast Track: 5-7 days training with a dedicated trainer

Flexible training in morning, afternoon and evening weekdays & weekend

Course Details

A 120 credit RQF Level 4 Diploma equivalent to Year 1 of a three-year UK Bachelor's degree programme.

Course Details

A 120 credit RQF Level 5 Diploma equivalent to Year 2 of a three-year UK Bachelor's degree programme. Upon successful completion of the Level 5 diploma, learners can follow a one-year course to obtain a top-up degree in.

Course Details

Web Designing Training for Corporate or Individual, Al Barsha, Mall of Emirates Now!

Two hours per session 2-3 times in a week Fast Track: 5-7 days training with a dedicated trainer Flexible training in morning, afternoon and evening weekdays & weekend

Course Details

Video Editing Training for Corporate or Individual, Al Barsha, Mall of Emirates Now!   Two hours per session 2-3 times in a week Fast Track: 5-7 days training with a dedicated trainer Flexible training in morning, afternoon and evening weekdays & weekend

Course Details

3D animation Training

Course description

Diploma in 3D Animation is a Diploma level Multimedia, Animation and Gaming course. 3D Animation is animating computer-generated objects that appear in a three-dimensional space. They can be rotated and moved like real objects. 3D animation is at the heart of games and virtual reality, but it may also be used in presentation graphics to add flair to the visuals. 3D animations including animated 3D models are a great way to bring to life an idea or design that is still on the drawing board or just difficult to describe with words. 3D animations can make visual that which is invisible or hard to conceive. The course is an important one from a job point of view as it opens wide opportunities in various fields.

Course outline

No.

A

Module I

1

Basic hardware Introduction & Tips on system configuration

2

Fundamental of Visual Arts

3

Basic elements of Drawing

4

Fundamental Perspective

5

Anatomy & Illustration

6

Animation Concept

7

Scriptwriting

8

Storyboard

B

Module II

1

Training on Computer Graphic:

2

Detail study on computer graphic

3

Photoshop

C

Training on 3D Production

1

Introduction of 3D software Interface

2

Start with basic modelling

3

A different process of 3D modelling

4

High resolution modelling concept

5

Low resolution modelling concept

6

Organic & Inorganic Modelling

7

High resolution texturing technique

8

Low resolution texturing technique

9

Basic Lighting Concept

10

Advance lighting

11

Basic Rendering Concept

12

Start with Basic Rigging

13

Advance Rigging

14

Start with Basic Animation

15

Advance Animation

16

Advance Rendering

17

Dynamics

18

Dynamics with cloth

19

Hair & Fur

Course Details

2D Animation

Course Description

This course will offer skill development in the use of software to develop storyboards and 2-dimentional animation including creating, importing and sequencing media elements to create multi-media presentations. Emphasis will be on conceptualization, creativity, and visual aesthetics. This course takes the students through various aspects of animation using a variety of 2 dimensional software. Developing concepts, storyboarding and production of several 2 dimensional animations will be accomplished.

Course outline

Course Objectives

History of Animation

• Persistence of Vision

• Early Animation Devices

Principles of Animation

• Key-frames

• In-betweens

• Cycles

• Morphing 1

PS: Overview, Animation Timeline

Review: morphing

Principles of Animation

• Timing and Spacing Charts

• Squash and Stretch

• Morphing2

PS: Brushes, Demonstration of using a timing sheet for the bouncing ball AE: Overview of Interface, Composition Settings, Creating Layers, Shapes

Review: Bouncing Balls (Online)

Principles of Animation

• Slow In, Slow Out

• Squash and Stretch

• Timing

• Anticipation Visual Rhythm Transitions

AE: Basic Animation- Key-framing (position/scale/rotation/opacity), Anchor Point, Creating Shapes, Motion Paths, using Markers, ImportingAudio

Review: Bringing Shapes to Life (Online)

Walk Cycle

• Walk and Run

• Overlapping Action

• Attitude Rotoscope Technique

• Cycles, Locomotion

PS: Review of Brushes, Breakdown of Character Design for Puppet

AE: Importing from PS, Animating a Puppet, Building Hierarchies (parenting, nesting, precomping)

Review: Walk Cycle (online)

Screen: Morphing Assignment

Character Sketch Exercise

What Makes a Character?

Principles of Animation

• Staging

• Solid Drawing

• Appeal Character Design-Puppet

• Reference

• Personality

• Visual Contrast

• Replacement Parts

PS: Creating a Character Ready For Animation

AE: Introduction to 3D Space, Camera (demo of animated character on a simple BG)

Review of Character Designs (online)

Concepts of Design

• Composition of a scene

• Color Design

• Value

• FG, MG, BG elements

Shot Composition Principles

AE: Setting up a Simple 3D Environment, Precomping (character), Animating the Camera, Cutting Between Cameras

Review: Character Encountering Obstacle (online)

Replacement Animation

• Lip Sync

• Stop Motion

AE: Demonstration of Replacement Lip Sync Animation, Working with Sound, Using Audio Cues

Review: Lip Sync Animation (online)

Poetry, Music and Animation

• Creating a mood

• Visual Abstraction

• Overview of Text

AE: Text Tools + Animation, Presets Overview, Blend modes, Masking and Track Mattes Intro

Review: Animation Expressing Mood/Emotion (online)

Writing a Treatment

Story vs Theme

Visual Techniques for Theme/Story

• Creating a mood

• Color, Texture, Composition

AE: Color Correction, Lights AUDACITY: Introduction to sound software

Review: Treatment (in-class presentation?)

Storyboarding

Shot Composition

Directing the Audience

Transitions

PS: Demonstration of storyboard setup in Photoshop

AUDACITY: Sound instruction cont.

Work on Storyboards

Review: Storyboards (In-class presentation?)

Creating an Animatic

AE: Show how to import storyboards and edit an animatic (sequencing and trimming layers)

Review: Animatic

Sound for Animation

Review: Animatic w/ Sound

Work on Final Project

Course Details

Dreamweaver

Course description

Adobe Dreamweaver CS6 is a web design program that gives even the most amateur web designer the ability to create stunning web pages fairly quickly and easily. You don't have to know HTML or any other programming language to be able to use Dreamweaver. Like other WYSIWYG editors (What You See Is What You Get), you can simply type and paste text and other images onto the screen and let Dreamweaver write the code for you. 

Whether this is your first time using Dreamweaver or you've used it in the past, this course will walk you through the program step-by-step and teach you how to use its many features and options to create web pages.  

Course outline

Lesson 1: Introduction to Dreamweaver CS6

Lesson 2: Fundamentals of Website Design

Lesson 3: The Dreamweaver Workspace

Lesson 4: Creating Websites in Dreamweaver

Lesson 5: Adding Texts, Hyperlinks, and Meta Tags to Pages  Lesson 6: Adding Images and Graphics 

Lesson 7: Working in HTML

Lesson 8: Adding Online Forms to Web Pages

Lesson 9: CSS

Lesson 10: CSS3

Lesson 11: Using Dreamweaver Templates

Lesson 12: HTML Tables

Lesson 13: Behaviors Lesson 14: Multimedia  Lesson 15: Add AJAX Features Using Spry

Lesson 16: Managing and Publishing Your Sites

Course Details

Drupal Training Classes

Course description

Get started by downloading the official Drupal core files. These official releases come bundled with a variety of modules and themes to give you a good starting point to help build your site. Drupal core includes basic community features like blogging, forums, and contact forms, and can be easily extended by downloading other contributed modules and themes.

Course outline

Installing Drupal System Requirements Installing Drupal 8 Troubleshooting Your Installation Basic Concepts of Drupal Modules Entities, Nodes and Fields Taxonomy, Views and Themes User Roles and Permissions Getting Started with the Drupal 8 UI The Drupal 8 User Interface How Does Drupal Handle Responsive Projects Structure, Configuration and Appearance People, Reports and Extend Creating Basic Content Introduction to Site Building Creating and Enhancing Page Content Creating Articles and Working with Article Comments Drupal 8 Structure and Site Organization Creating and Managing Menus Managing Taxonomy Working with View Modules and Blocks Working with Advanced Content Working with Forms and Fields Creating New Content Types Adding Interaction with Queries System and Site Configuration People / Account Settings System Settings and Configuration Working with the User Interface Managing Media Indexing, Metadata and Locale Configuration User and Access Control Users and Roles User Permissions Extending Drupal Working with Reports Working with Modules Working with Plugins Drupal 8 and Themes Base Themes in Drupal 8 Working with the Admin in Themes Finding and Installing Themes Working with Custom Themes

Course Details

Data structures Training

Course description

Covers the design, analysis, and implementation of data structures and algorithms to solve engineering problems using an object‐oriented programming language. Topics include elementary data structures, (including arrays, stacks, queues, and lists), advanced data structures (including trees and graphs),the algorithms used to manipulate these structures, and their application to solving practical engineering problems.

Course outline

• Unit 1: Introduction
• Unit 2: Array-Based Lists
• Unit 3: Linked Lists
• Unit 4: Hash Tables
• Unit 5: Recursion
• Unit 6: Binary Trees
• Unit 7: Red–Black Trees
• Unit 8: Heaps
• Unit 9:Sorting Algorithms
• Unit 10: Graphs

Course Details

SPSS Software Training

Course description

This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, as well as how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results.

Course outline

Introduction to IBM SPSS Statistics • Review basic concepts in IBM SPSS Statistics • Identify the steps in the research process • Review basic analyses • Use Help Read data and define metadata • Overview of data sources • Read data from databases • Read data from Microsoft Excel • Define variable properties Transform variables • Compute new variables • Recode values of nominal, ordinal, and scale variables • Create a numeric variable from a string variable • Explore advanced variable transformations Use functions to compute variables • Use statistical functions • Use logical functions • Use missing value functions • Use conversion functions • Use system variables • Use the Data and Time Wizard Set the unit of analysis • Remove duplicate cases • Create aggregated datasets • Restructure datasets Merge data files • Add cases from one dataset to another • Add variables from one dataset to another • Enrich a dataset with aggregated information Select cases for analyses • Select case for an analysis • Run analyses for subgroups Summarize individual variables • Define levels of measurement • Summarizing categorical variables with Frequencies • Summarizing scale variables with Frequencies and Descriptives Describe relationship between variables • Select the appropriate procedure to summarize the relationship between two variables • Summarize the relationship between categorical variables with Crosstabs • Summarize the relationship between a scale and a categorical variable with Means Create presentation-ready tables with Custom Tables • Identify table layouts • Create tables for variables with shared categorical • Create tables for variables that represent a multiple response question Customize pivot tables • Perform Automated Output Modification • Customize pivot tables in the Pivot Table Editor • Use table templates • Export pivot tables to other applications Create and customize charts • Use the Chart Builder to create various types of graphs • Customize charts in the Chart Editor • Use chart templates • Export pivot tables to other applications Work with syntax • Use syntax to automate analyses • Use the Syntax Editor environment • Create and edit syntax • Run syntax Control the IBM SPSS Statistics environment • Describe the features of the Options dialog box • Reset the display of variables • Set the default working data folders

SPSS Software

Course description

This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, as well as how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results.

Course outline

Introduction to IBM SPSS Statistics • Review basic concepts in IBM SPSS Statistics • Identify the steps in the research process • Review basic analyses • Use Help Read data and define metadata • Overview of data sources • Read data from databases • Read data from Microsoft Excel • Define variable properties Transform variables • Compute new variables • Recode values of nominal, ordinal, and scale variables • Create a numeric variable from a string variable • Explore advanced variable transformations Use functions to compute variables • Use statistical functions • Use logical functions • Use missing value functions • Use conversion functions • Use system variables • Use the Data and Time Wizard Set the unit of analysis • Remove duplicate cases • Create aggregated datasets • Restructure datasets Merge data files • Add cases from one dataset to another • Add variables from one dataset to another • Enrich a dataset with aggregated information Select cases for analyses • Select case for an analysis • Run analyses for subgroups Summarize individual variables • Define levels of measurement • Summarizing categorical variables with Frequencies • Summarizing scale variables with Frequencies and Descriptives Describe relationship between variables • Select the appropriate procedure to summarize the relationship between two variables • Summarize the relationship between categorical variables with Crosstabs • Summarize the relationship between a scale and a categorical variable with Means Create presentation-ready tables with Custom Tables • Identify table layouts • Create tables for variables with shared categorical • Create tables for variables that represent a multiple response question Customize pivot tables • Perform Automated Output Modification • Customize pivot tables in the Pivot Table Editor • Use table templates • Export pivot tables to other applications Create and customize charts • Use the Chart Builder to create various types of graphs • Customize charts in the Chart Editor • Use chart templates • Export pivot tables to other applications Work with syntax • Use syntax to automate analyses • Use the Syntax Editor environment • Create and edit syntax • Run syntax Control the IBM SPSS Statistics environment • Describe the features of the Options dialog box • Reset the display of variables • Set the default working data folders

Course Details

Video Editing Training Classes

Course Description

This course serves as an introduction to the art of video post-production. We explore the theory and practice of various editing styles in order to gain a better understanding of how stories are constructed in the editing room. Through demonstrations and hands-on experience, students learn advanced editing techniques with an in-depth examination of Final Cut X. To further enhance projects, students create animated motion graphics using Motion or After Effects. Strong emphasis is placed on post-production techniques that improve the sound and image quality of the videos. Footage is provided for all exercises and projects. However, students are given the option to shoot new material for their final projects if desired.

Course outline

Lesson 1: Touring Adobe Premiere Pro CC

■ Nonlinear editing in Adobe Premiere Pro

■ Expanding the workflow

■ Touring the Adobe Premiere Pro interface

Lesson 2: Setting up a Project

■ Setting up a project

■ Setting up a sequence

Lesson 3: Importing Media

■ Importing assets

■ Working with the Media Browser

■ Importing images

■ The media cache

■ Capturing the videotape

Lesson 4: Organizing Media

■ The Project panel

■ Working with bins

■ Organizing media with content analysis

■ Monitoring footage

■ Modifying clips

Lesson 5: Essentials of Video Editing

■ Using the Source Monitor

■ Navigating the Timeline

■ Essential editing commands

Lesson 6: Working with Clips and Markers

■ Program Monitor controls

■ Controlling resolution

■ Using markers

■ Using Sync Lock and Track Lock

■ Finding gaps in the Timeline

■ Moving clips

■ Extracting and deleting segments

Lesson 7: Adding Transitions

■ What are transitions?

■ Edit points and handles

■ Adding video transitions

■ Using A/B mode to fine-tune a transition

■ Adding audio transitions

Lesson 8: Advanced Editing Techniques

■ Four-point editing

■ Retiming clips

■ Replacing clips and footage

■ Nesting sequences

■ Regular trimming

■ Advanced trimming

■ Trimming in the Program Monitor panel

Lesson 9: Putting Clips in Motion

■ Adjusting the Motion effect

■ Changing clip position, size, and rotation

■ Working with keyframe interpolation

■ Using other motion-related effects

Lesson 10: Multi-camera Editing

■ The multi-camera process

■ Creating a multi-camera sequence

■ Switching multiple cameras

■ Finalizing multi-camera editing

■ Additional multi-camera editing tips

Lesson 11: Editing and Mixing Audio

■ Setting up the interface to work with audio

■ Examining audio characteristics

■ Adjusting audio volume

■ Adjusting audio gain

■ Normalizing audio

■ Creating a split edit

■ Adjusting audio levels in a sequence

■ Working with the Audio Mixer

Lesson 12: Sweetening Sound

■ Sweetening sound with audio effects

■ Adjusting EQ

■ Applying effects in the Audio Mixer

■ Cleaning up noisy audio

Lesson 13: Adding Video Effects

■ Working with effects

■ Keyframing effects

■ Effects presets

■ Frequently used effects

Lesson 14: Color Correction and Grading

■ Color-oriented workflow

■ An overview of color-oriented effects

■ Fixing exposure problems

■ Fixing color balance

■ Specials color effects

■ Creating a look  

Lesson 15: Exploring Compositing Techniques

■ What is an alpha channel?

■ Using compositing in your projects

■ Working with the Opacity effect

■ Working with alpha-channel transparencies

■ Color keying a greenscreen shot

■ Using mattes

Lesson 16: Creating Titles

■ An overview of the Titler window

■ Video typography essentials

■ Creating titles

■ Stylizing text

■ Working with shapes and logos

■ Making text roll and crawl

Lesson 17: Managing Your Projects

■ The File menu

■ Using the Project Manager

■ Final project managment steps

■ Importing projects or sequences

■ Managing collaboration

■ Managing your hard drives

Lesson 18: Exporting Frames, Clips, and Sequences

■ Overview of export options

■ Exporting single frames

■ Exporting a master copy

■ Working with Adobe Media Encoder

■ Exchanging with other editing applications

■ Recording to tape

Course Details

R programming

Course description

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment, discuss generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, and organizing and commenting R code.

Course outline

• Week 1: Overview of R, R data types and objects, reading and writing data
• Week 2: Control structures, functions, scoping rules, dates and times
• Week 3: Loop functions, debugging tools
• Week 4: Simulation, code profiling

Course Details

Photoshop Courese

Course description

This course was designed to teach you everything you need to know to make full use of Adobe Photoshop CS6.   Adobe Photoshop CS6 is a complex graphics and image editing software and paint program. It has become a mainstay with graphics designers, professional photographers, and even hobbyists to edit graphics as well as create and manipulate images.

If you've used Photoshop before, then this course may amaze you with all the improvements that have been made to the program. If you're new to Photoshop, don't be nervous or worry that it will be overwhelming. We'll start at the beginning and teach you everything you need to know in simple, everyday language so you understand and learn.  

Course outline

Lesson 1: Introduction to Adobe Photoshop CS6

Lesson 2: Getting Started using Photoshop CS6

Lesson 3: Working with Images

Lesson 4: Resizing and Cropping Images

Lesson 5: Working with Basic Selections

Lesson 6: Layers

Lesson 7: Painting in Photoshop

Lesson 8: Photo Retouching

Lesson 9: Color Correction

Lesson 10: Using Masks And The Quick Mask Mode

Lesson 11: Working With The Pen Tool

Lesson 12: Creating Special Effects

Lesson 13: Printing And Exporting Your Work

Course Details

Multimedia Training Program

Course description

Multimedia is the combined use of text, graphics, sound, animation, and video. A primary objective of this workshop is to teach participants how to develop multimedia programs. Another objective is to demonstrate how still images, sound, and video can be digitized on the computer. Participants in this workshop will create their own multimedia courses using HyperStudio on the Macintosh platform. HyperStudio is an authoring tool that allows you to develop an electronic stack of cards that contain buttons, graphics, and text. Issues concerning multimedia design and its use in education will be the focus of reading and class discussions throughout the course of the workshop.

Course outline

• Multimedia Overview
  • Definition
  • Applications and Design
  • Authoring (HyperStudio)
• Introduction to HyperStudio
  • The Metaphor
  • The Basics (Cards, Buttons, Text)
  • HyperStudio Resources
• Instructional Design
  • Objectives
  • Content (print, graphics, sounds, etc.)
  • Interaction
  • Assessment
  • Closure
• Screen Design
  • Metaphors and Themes
  • Colors and Backgrounds
  • Text (size, color, placement)
  • Navigation
  • Consistency
  • Transitions and Links
• Use of Sound
  • HyperStudio Sounds
  • Recording Your Own
• Internet Resources
  • Graphics
  • Integrating Web documents
• HyperStudio Tips and Tricks
  • Animation
  • Launching other applications and documents
  • Basic NBA's
• Multimedia Portfolios
  • Designing a template
  • Adding elements
  • Choosing materials (readings)
• Advanced Button Features
  • Hyperlinks
  • Drag-n-Drop
  • Advanced NBA's
  • Using Actions with other Objects
• Incorporating Digital Media
  • QuickTime Movies
  • Laserdisc and CD-ROM control
  • Scanning

Course Details

IoT Trianing Course

Course description

The Internet of Things (IoT) is everywhere. It provides advanced data collection, connectivity, and analysis of information collected by computers everywhere—taking the concepts of Machine-to-Machine communication farther than ever before. This course gives a foundation in the Internet of Things, including the components, tools, and analysis by teaching the concepts behind the IoT and a look at real-world solutions.

Course outline

Chapter 1: Internet of Things (IoT)

• What Is the Internet of Things?
• Machine to Machine / User-less Communication
• Common Use Cases
• Components of an IoT Solution
• Open Source and Commercial Examples
• Competing Standards for IoT
• IoT specialization: Industrial, Medical/Healthcare, Automotive, Energy/Utilities, Financial
• Workshop: Brainstorming IoT Utilization

Chapter 2: Acquiring Data

• Traditional Data Storage
• Analog and Digital I/O Basics
• Sensors and Data Collection Points
• Embedded Platforms / Microcontrollers
• Software Development
• Device Security: Physical and Logical
• Connectivity Options
• Connecting Sensors to the Cloud
• Scaling Number of Sensors
• Workshop: IoT Sensor Utilization

Chapter 3: Utilizing Data

• Collecting and Storage of IoT Sensor Data
• Data Aggregation
• Processing IoT Data
• Privacy and Security
• Analysis and Visualization of Data
• How the work together: Cloud and IoT
• Big Data and IoT
• Use Cases for IoT Data
• Workshop: IoT Data Collection in the Cloud

Chapter 4: Implementing IoT

• Embedded Operating Systems
• Linux and Windows-Based IoT
• Cloud-based Data Collection
• On-Going IoT Operations
• Workshop: Implementing a Multi-Node IoT Solution

Chapter 5: IoT Analytics

• ETL (Extract-Transform-Load)
• Combining IoT Data with Static Data
• Scripting and Programming with IoT Data
• Machine Learning / Artificial Intelligence
• Workshop: IoT Data Analysis in the Cloud

Chapter 6: Bringing It Together

• IoT Strategies
• IoT Governance and Management Strategies
• What’s Next in IoT
• Workshop: Design an IoT Solution

Course Details

Graphic Designing Course

Course description

Graphic Design is a course that explores graphic communication through the understanding of the elements and principles of design; as well as, the design process, from idea development through the final execution of a document. Professionals use the concepts explored in this course in the following disciplines: advertising, graphic design, web design, illustration, broadcast design, photography and game design and many others. Assessment will be based upon a rubric that takes into consideration effort, technical understanding and creative use of resources for the completion of various assignments using PhotoShop CS5 and InDesign CS5.

Course outline

MODULE 1: INTRODUCTION TO GRAPHIC DESIGN

Content Of Module 1

• Definition: A definition of graphic design and its specialised industries.
• History: The history of written communication from ancient to present times with visual examples of pivotal movements and designer work.
• Specialities: Explanation of the various specialities within the industry of graphic design. An understanding of graphic design's role in future industries.
• Social Networks: Introduction to professional organisations and affiliations that will enrich the student's understanding of the profession.

MODULE 2: DESIGN BASICS

Content Of Module 2

• Vocabulary: Design elements and principles.
• Studies: Illustrated studies reinforcing the concepts and vocabulary of design. Refinement of final studies using Adobe Illustrator software.
• Software: Introduction to vector-based computer software Adobe Illustrator.

MODULE 3: INTRODUCTION TO TYPOGRAPHY

Content Of Module 3

• History: Students will be introduced to the evolution of the alphabet and letter-form design.
• Vocabulary: Students will learn type families, type anatomy and type principles.
• Studies: Students will learn how to illustrate the basic type families and apply tools to them.
• Software: Students will learn typographic tools available in Adobe Illustrator software.

MODULE 4: COLOUR

Content Of Module 4

• Vocabulary: Students will learn the vocabulary associated with colour theory.
• Studies: Students will display a working knowledge of the concepts in this Module by completing several computer based colour studies using templates provided.
• Software: Students will learn the colour tools available in Adobe Illustrator software.

MODULE 5: ADVANCED TYPOGRAPHY

Content Of Module 5

• Vocabulary: Students will learn advanced typographic theory and vocabulary.
• Studies: Students will display a working knowledge of the concepts in this Module by completing several computer based typographic studies using templates provided.
• Software: Students will learn advanced typographic tools available in Adobe Illustrator.

MODULE 6: PHOTOGRAPHY

Content Of Module 6

• Vocabulary: Students will learn the tools and vocabulary associated with printing and photography.
• Studies: Students will display a working knowledge of the concepts in this Module by completing a studio style photoshoot. They will also create their first advert design.
• Software: Students will learn basic photo manipulation tools Adobe Photoshop software.

MODULE 7: LOGOTYPE DESIGN

Content Of Module 7

• Process: Students will learn the processes and tools associated needed to create meaningful design concepts.
• Studies: Students will display a working knowledge of the concepts in this Module by completing several computer based typographic projects using templates provided.
• Software: Students will use illustration and Adobe Illustrator software to illustrate, design and refine projects.

MODULE 8: DESIGN SYSTEMS I

Content Of Module 8

• Process: Students will follow the creative process to define their own goals for the projects in the Module.
• Studies: Students will conceptualise, develop and refine design systems based upon an organic form of their choosing. They will further this knowledge by creating an iconic system.
• Software: Students will use advanced Adobe Illustrator software knowledge to illustrate, design & refine projects.

MODULE 9: LAYOUT DESIGN

Content Of Module 9

• Vocabulary: Students will reinforce vocabulary from earlier modules that applies to typographic layout.
• Studies: Students will learn how to manipulate typographic principles to create dynamic layout design.
• Software: Students will be introduced to Adobe InDesign.

MODULE 10: DESIGN SYSTEMS II

Content Of Module 10

• Projects: An instrumental module in the course. Students will deepen their knowledge of working with the design brief and idea generation. Design a complex corporate identity system, package design project and design campaign.
• Software: Students will identify which programmes are right for each design task by using both Photoshop, InDesign and/or I for their projects.

MODULE 11: PREPARING YOUR PORTFOLIO

Content Of Module 11

• Resources: Students will be introduced to various graphic design job resources.
• Studies: Students will learn how to design a personal identity system, and create a professional graphic design portfolio with a design system in place.
• Software: Students will use the appropriate software for the projects.

MODULE 12

Content Of Module 12

• Projects: A fantastic opportunity to take you tutors feedback from the module 11 portfolio and rework and refine in the portfolio refinement project. Students will produce a resume and cover letter using a personal design system based on their identity. Students will undergo an industry consultation of a chosen work in a guided fashion. Students will also undergo Copyright in design and OHS assessments.
• Software: Students will identify which programmes are right for the each design task by using both Adobe Photoshop, InDesign and/or Illustrator for their projects.

Course Details

Facebook Ads Promotion Classes

Course description

Facebook makes it easy for businesses like yours to share photos, videos, and posts to reach, engage, and sell to more than 1 billion active users. This course walks you through Facebook Advertising and its nuances to help you pinpoint your ideal audience and gain a ten-fold return on your investment. It takes you further than Facebook itself by exploring what happens before customers click on your ads and what needs to happen after—10 seconds later, 10 minutes later, and in the following days and weeks.

Course outline

Chapter 1. What Is Facebook Advertising Chatper 2. Getting Started: Business Page, Business Manager, and Instagram Chapter 3. Ads Manager Overview Chapter 4. Facebook Ad Guidelines and Policies Chapter 5. Facebook Pixel Setup Chapter 6. Boosted Post, the Easiest Way to Advertise on Facebook Ads Manager, and Power Editor Chapter 7. Creating Facebook Ads Chapter 8. Special Ad Types Chapter 9. Business Manager Chapter 10. Analyzing Your Results Chapter 11. Building Your Sales Funnel Chapter 12. Setting Up Remarketing Chapter 13. Mastering Ad Targeting Like the Pros Chapter 14. How to Master A/B Testing Chapter 15. Leveraging Facebook Analytics Chapter 16. Scaling Your Facebook Ads Chapter 17. Troubleshooting Ad Issues Chapter 18. Understanding the Learning Phase Chapter 19. Understanding Facebook's Attribution Window Chapter 20. The Psycology of Facebook Ads Chapter 21. Creative Best Practices: Copy, Image, & Video Chapter 22. Managing Your Facebook Page Chapter 23. Messenger Bots Chapter 24. Facebook Resources

Course Details

Digital Marketing Classes

Course description

This course explores several aspects of the new digital marketing environment, including topics such as digital marketing analytics, search engine optimization, social media marketing, and 3D Printing. When you complete the Digital Marketing Specialization you will have a richer understanding of the foundations of the new digital marketing landscape and acquire a new set of stories, concepts, and tools to help you digitally create, distribute, promote and price products and services.

Course outline

· Digital Marketing

 an overview about all the platforms covered by the umbrella term i.e. ‘Digital Marketing’

· SEO – Search Engine Optimization

Understanding 21 practical SEO strategies to bring your website on top of Google search results with practical examples

· YouTube SEO

Improving your YouTube videos’ visibility online

· Google Ads – Search & Display Advertising Campaigns

 A step-by-step practical approach for launching, monitoring and optimizing your Google Ads campaigns. 

· Google My Business

 Connecting your business with local customers by optimizing Google My Business/Google Maps listings

· Content Marketing

an Inbound Marketing Concepts and its Implementation

· Social Media Marketing

 Developing a social media marketing strategy using Blogs, Facebook, Twitter, LinkedIn, Instagram and many other tips and tools. 

· Social Media Advertising

How to effectively create Facebook, Instagram and LinkedIn Paid Advertising campaigns

· Google Analytics

 Tracking your success and improving your campaigns’ performance by tracking the results

Course Details

Data Science Training Program

Course description

Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions. In data science, one deals with both structured and unstructured data. The algorithms also involve predictive analytics in them. Thus, data science is all about the present and future. That is, finding out the trends based on historical data which can be useful for present decisions and finding patterns which can be modelled and can be used for predictions to see what things may look like in the future. Data Science is an amalgamation of Statistics, Tools and Business knowledge. So, it becomes imperative for a Data Scientist to have good knowledge and understanding of these.

Course outline

The following topics will be covered by this introductory course:

· Introduction and Importance of Data Science

· Statistics

· Information Visualisation

· Data Mining, Data Structures, and Data Manipulation

· Algorithms used in Machine Learning

· Data Scientist Roles and Responsibilities

· Data Acquisition and Data Science Life Cycle

· Deploying Recommender Systems on Real-World Data Sets 

· Experimentation, Evaluation and Project Deployment Tools

· Predictive Analytics and Segmentation using Clustering 

· Applied Mathematics and Informatics

· Working on Data Mining, Data Structures, and Data Manipulation

· Big Data Fundamentals and Hadoop Integration with R

Course Details

Data Analysis Training

Course description

The field of Business intelligence depends largely on Data analysis tools and techniques in order to inform effective decision-making. In fact, the disciplines are so intertwined that some often confuse the two. Therefore, we begin our introduction by examining the history of Business intelligence, its relationship to data analysis, and why the two are needed to help businesses deliver a complete assembly of their 'data puzzle'. This module also addresses some of the hurdles businesses face when dealing with data overload and suggests some possible solutions to the problem.

With the explosion of big data, businesses recognize there is a greater need for employing someone who is qualified to correctly analyze the data. In this module, we explore the qualifications for the data analyst as well as the analytic tools associated with the position.

Course outline

Part 1: Data and Information

• Data in the Real World
• Data vs. Information
• The Many “Vs” of Data
• Structured Data and Unstructured Data
• Types of Data

Part 2: Data Analysis Defined

• Why do we analyze data?
• Data Analysis Mindset
• Data Analysis Steps
• Data Analysis Defined
• Descriptive Statistics vs Inferential Statistics

Part 3: Types of Variables

• Categorical vs Numerical
• Nominal Variables
• Ordinal Variables
• Interval Variables
• Ratio Variables

Part 4: Central Tendency of Data

• (Arithmetic) Mean
• Median
• Mode

Part 5: Basic Probability

• Probability Uses In Business
• Ways We Can Calculate Probability
• Probability Terms
• Calculating Probability
• Calculating Probability from a Contingency Table

• Conditional Probability
• Frequency Distribution

Part 6: Distributions, Variance, and Standard Deviation

• Discrete Distributions
• Continuous Distributions
• Range
• Quartiles
• Variance
• Standard Deviation
• Population vs. Sample
• Application of the Standard Deviation

• Standard Deviation and the Normal Distribution
• Sigma (σ) Values (Standard Deviations)

• Bimodal distribution
• Skew and Summary
• Other Distributions

• Poisson Distribution
• Exponential Distribution
• Pareto Distribution (“80/20”)
• Log Normal Distribution

• Distributions in Excel  

Part 7: Fitting Data

• Bivariate Data (Two Variables)
• Covariance and Correlation
• Simple Linear Regression
• Linear Regression
• Fitting Functions

• Linear Fit
• Polynomial Fit
• Power-Law Fit

Part 8: Predictive Analytics Overview

• Monte Carlo Method

Course Details

CorelDraw Training

Course description

CorelDRAW training imparts knowledge and skills to understand and use different features and tools of CorelDRAW software. Participants learn how to use this vector-illustration and page-layout application to present objects, layers, and pages in an effective and presentable form. A large collection of fonts, clip art, and editing tools enables the user to create logos, brochures, website graphics, illustrations and other artwork. The trained candidates can develop the designs to meet the computer graphics need of various applications.

Course outline

Getting started with Corel Draw

• Introduction to Corel Draw
• Features of Corel Draw
• Corel Draw Interface
• Tool Box
• Moving from Adobe Illustrator to Corel Draw
• Common Tasks  

Drawing and Coloring

• Introduction
• Selecting Objects
• Creating Basic Shapes
• Reshaping Objects
• Organising objects
• Applying color fills and Outlines  

Mastering with Text

• Introduction
• Text Tool
• Artistic and paragraph text
• Formatting Text
• Embedding Objects into text
• Wrapping Text around Object
• Linking Text to Objects  

Applying Effects

• Introduction
• Power of Blends
• Distortion
• Contour Effects
• Envelopes
• Lens effects
• Transparency
• Creating Depth Effects
• Power Clips  

Working with Bitmap commands

• Introduction
• Editing Bitmaps
• Applying effects on Bitmaps
• Printing  

Corel Draw- Web resources

• Introduction
• Internet Tool bar
• Setting your webpage
• Exporting files
• Creating buttons with rollover effects

Course Details

Big Data and Hadoop

Course description

It is a comprehensive Hadoop Big Data training course designed by industry experts considering current industry job requirements to help you learn Big Data Hadoop and Spark modules. This is an industry-recognized Big Data certification training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing and analytics with Apache Spark.

Course outline

1. The big picture of Big Data

2. Demystifying Hadoop

3. Setup and Installation of Hadoop

4. HDFS – The Storage Layer

5. A Deep Dive into MapReduce

6. MapReduce - Advanced Concepts

7. Hive – Data Analysis Tool

8. Pig – Data Analysis Tool

9. NoSQL Database - HBase

10. Data Collection using Sqoop

11. Data Collection using Flume

12. Apache YARN & advanced concepts in the latest version

13. Processing data with Apache Spark

14. Real-Life Project on Big Data