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Computer Vision: How AI Processes Images
This course looks into field of computer vision, focusing on …
What you'll learn
Understand the fundamental concepts of computer vision and image processing
Learn how AI models and algorithms are applied to analyze and interpret visual data
Gain practical insight into developing computer vision applications using frameworks like OpenCV and TensorFlow
Explore advanced topics such as object detection, facial recognition, and image segmentation
Analyze the ethical implications associated with computer vision technologies being intertwined with government
Introduction to AI (Intermediate)
This course dives deeper into the concepts and techniques of …
What you'll learn
Get hands-on experience with gathering training data
Explore AI-driven decision-making processes and the complex math behind each choice
Evaluate robust safety measures and advanced jailbreaking practices
Discover more uses for front end, API connections, and third-party augmentation
Learn daily uses for AI applications for personal and professional development
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
Mastering User Experience (UX) Design for Experienced Web Developers (TT4213)
In today’s fast-paced digital world, user-centric and adaptable websites are …
What you'll learn
<b>Understand and apply UX principles and user-centered design processes:</b> Participants will learn to identify the needs and preferences of users, create user personas, and apply UX best practices to develop intuitive, user-friendly web experiences.
<b>Design and implement responsive web layouts:</b> Participants will gain the skills to create fluid grid layouts, use flexible images, and apply media queries to design web pages that adapt seamlessly across various devices and screen sizes.
<b>Optimize web performance for responsive designs:</b> Participants will learn techniques to improve website performance, including image optimization, responsive images, and minification and concatenation of assets, ensuring a fast and smooth user experience across devices.
<b>Implement accessible web designs:</b>Participants will understand the importance of accessibility in web design and learn to apply WCAG principles and accessible design patterns to create websites that are usable by a wide range of users, including those with disabilities.
<b>Collaborate effectively with designers, developers, and stakeholders:</b> Participants will gain insights into design collaboration and handoff processes, enhancing their ability to communicate design decisions, provide and receive feedback, and work efficiently with team members and clients.
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.
