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AI Insights: A Practical Guide to AI Types, Principles and Applications (TTAI2051)
Dive into the transformative world of Artificial Intelligence (AI) in …
What you'll learn
<b>Comprehensive AI Understanding:</b> Master the key types and principles of AI, distinguishing between artificial narrow intelligence, general intelligence, and super intelligence.
<b>Practical AI Applications:</b> Discover AI's transformative role in various industries, including its potential to innovate in agriculture, medicine, finance, and more.
<b>Ethical and Reliable AI Use:</b> Explore the ethical use of AI and the factors influencing its reliability in deployment.
<b>Hands-On AI Experience:</b> Gain introductory hands-on experience with common AI technologies, enhancing your practical skills.
<b>Future AI Trends:</b> Engage in discussions about the future of AI, including emerging research areas and advancements in technology.
Strategic AI Dialogues: Conversational Intelligence for Business Innovation (TTAI2060)
This engaging half-day workshop is crafted for business professionals eager …
What you'll learn
<b>Understanding Conversational AI:</b> Gain a foundational understanding of Conversational AI, its significance in the business context, and its potential to transform customer engagement.
<b>Exploring NLU and LLMs:</b> Dive deep into Natural Language Understanding and Large Language Models, exploring how these technologies interpret and respond to human language in a business setting.
<b>AI Integration Strategies:</b> Learn strategies for integrating AI across different products and services within the enterprise, focusing on practical applications and real-world examples.
<b>Business Transformation with AI:</b> Discover how Conversational AI can streamline processes, enhance customer experience, and provide actionable insights for business decision-making.
<b>Navigating Challenges and Opportunities:</b> Discuss the challenges in implementing AI in business environments and explore opportunities for innovation and growth.
Ethics and AI
This course explores the ethical considerations and implications of artificial …
What you'll learn
Understand the ethical principles and frameworks relevant to AI
Analyze the impact of AI on privacy, security, and individual rights
Evaluate the ethical implications of AI in decision-making processes
Discuss the role of bias and fairness in AI systems
Examine case studies to understand the real-world ethical challenges in AI deployment
Explore how some are taking on the issue of toothless ethicists in big tech
Identify the cause of egregious content
Discover bad actors, their methods, and impacts
Graphic Design with AI
This course explores the crossroads of graphic design and artificial …
What you'll learn
Understand the role and impact of AI in the field of graphic design
Learn about Nightshade and Glazing projects
Explore how image generation models work
Discover different opinions and ethical stances regarding AI content generation
Get a hands on look on setting up and training your own AI image model
Explore techniques for manual and AI generated in-painting to edit outputs
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.
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
