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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 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.
Introduction to Power BI (TTDPB01)
QuickStart to Power BI for Analysts and Users is a …
What you'll learn
Perform Power BI desktop data transformation.
Describe Power BI desktop modelling.
Create a Power BI desktop visualization.
Implement the Power BI service.
Describe how to connect to Excel data.
Shape and Combine Data
Describe how to collaborate with Power BI data.
Connect directly to data stores.
Time Permitting: Explore the Power BI developer API.
Time Permitting: Describe the Power BI mobile app
