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Introduction to C++ Programming (TTCP2100)
Introduction to C++ Programming Essentials is a four-day, hands-on course …
Data Science & Big Data Overview: Tools, Tech & Modern Roles in the Data Driven Enterprise (TTDS6000)
The Data Science & Big Data Overview | Tools, Tech …
What you'll learn
<b>Foundations: </b>Grids & Virtualization; SOA, ESB / EMB, The Cloud
<b>The Hadoop Ecosystem:</b> HDFS; Resource Navigators, MapReduce, Spark, Distributions
Big Data, NOSQL, and ETL
<b>ETL:</b> Exchange, Transform, Load
Handling Data & a Survey of Useful tools
Enterprise Integration Patterns and Message Busses
Artificial Intelligence and Business Systems
Who’s on the Team? Evolving Roles and Functions in Data Science
Growing your Infrastructure
Introduction to AI (Beginner)
This course provides a comprehensive overview of the fundamental concepts …
What you'll learn
Understand the history and current state of the industry
Develop the ability to engineer prompts properly and navigate GPT and Claude
Explore how different AI models are built and work in their most basic form
Analyze the ethical implications and legal complexities of AI technologies and potential problems looking forward
Discuss where AI may be heading in the future
Machine Learning Fundamentals
Machine Learning Fundamentals offers an in-depth exploration of machine learning, …
What you'll learn
Understand the key algorithms used in machine learning and their applications.
Differentiate between supervised, unsupervised, and reinforcement learning.
Explore different machine learning techniques in live demos.
Apply statistical methods to analyze and interpret data in the context of machine learning.
Evaluate machine learning models and understand the principles of performance metrics.
Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise (TTAI2101)
Dive into the dynamic world of Artificial Intelligence (AI) with …
What you'll learn
Learn which data is most useful to collect now and why it’s important to start collecting that data as soon as possible.
Understand the intersection between big data, data science and AI (Machine Learning / Deep Learning) and how they can help you reach your business goals and gain a competitive advantage.
Understand the factors that go into choosing a data science and AI driven systems including whether to go with a cloud-based solution.
Explore common tools and technologies to aid in making informed decisions.
Gain the skills required to build your data science, AI and machine learning teams.
Introduction to XML Fundamentals (TT4300)
The Extensible Markup Language (XML) is a standard that is …
What you'll learn
Write well-formed XML documents
Model business requirements using XML
Handle XML reserved characters
Validate an XML document with a Schema
Centralize data and markup definition with entities
Create Schemas using XML tools
Generate XML documents from databases
Write XSL templates to transform XML documents into HTML
Integrate XML, XSL and the DOM to implement a complete solution
Understand the security concerns related to XML processing
Introduction to UX Design Basics for Non-Web Developers (TT4210)
In today’s fast-paced digital world, user-centric and adaptable websites are …
What you'll learn
<b>Understand user interactions and mental models:</b> Participants will learn how users think and process information, gaining insights into user expectations, mental models, and best practices for responding to common UX situations.
<b>Collaborate effectively with UX professionals:</b> Participants will learn the role of UX in an organization, when to engage UX experts in projects, and how to communicate and collaborate effectively with UX designers and researchers.
<b>Organize content and design intuitive site layouts:</b> Participants will gain the skills to create user-centric content organization strategies, apply information architecture principles, and design site layouts that are easy to use and navigate.
<b>Enhance navigation through design principles:</b> Participants will learn to improve website navigation by applying signposting, wayfinding, and navigation patterns, as well as incorporating usability and accessibility considerations into their designs.
<b>Collect and incorporate user input and feedback:</b> Participants will learn how to design intuitive forms and input methods, collect and analyze user feedback, and incorporate user insights into design iterations to create more engaging and effective digital experiences.
Introduction to HTML5, CSS3, and Responsive Design Basics
Introduction to HTML5/CSS3 and Responsive Design is a two-day course …
What you'll learn
<b>HTML5 Semantic Web Development:</b> Learn to create accessible, SEO-friendly web content with HTML5's semantic and structural elements.
<b>Next-Level CSS3 Design:</b> Develop skills in advanced CSS3 styling to craft visually compelling and responsive websites.
<b>Responsive Web Design Implementation:</b> Master techniques to build websites that adjust fluidly across different screens and devices.
<b>Web Application Debugging:</b> Acquire the ability to effectively identify and fix issues using browser-based and proxy-based debugging tools.
<b>Web Performance Optimization:</b> Understand and apply HTML5 techniques, like web storage and application caching, to enhance web performance and user experience.
