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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
Generative AI for Decision Makers and Architects: A Practical Approach for Decision Makers and Architects (TTAI2102)
Welcome to the exciting world of Generative AI – we’ll …
What you'll learn
Gain a solid understanding of Generative AI, its evolution, and its role in shaping innovative business solutions, positioning you to effectively drive AI initiatives in your organization.
Acquire the ability to identify potential Generative AI use cases in your industry and evaluate their feasibility and value, empowering you to make informed decisions that can enhance business operations.
Learn how to manage the lifecycle of an AI project efficiently, equipping you with the knowledge to guide projects from inception to successful deployment, with continuous monitoring and improvement.
Develop an understanding of AI and data security best practices, along with the crucial role of data in Generative AI, fostering your ability to safeguard your AI systems effectively.
Stay ahead of the curve by gaining insights into the upcoming trends and technologies in Generative AI, enabling you to maintain a competitive edge in your organization in this rapidly evolving field.
Privacy and Security in AI
This course explores the critical aspects and security within the …
What you'll learn
Understand the privacy implications and risks associated with AI technologies
Discover the different security stances by users, hobbyists, professionals, and organizations
Explore how AI providers use personal data and secure it
Investigate data leaks within AI modems
Learn about the regulatory and ethical frameworks governing data privacy in AI
Develop skills in threat modeling and secure development practices for AI systems
Analyze real-time examples of vulnerabilities and security pitfalls
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
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
