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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
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 and 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
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
Next Level Power BI (TTDPB02)
Next Level Power BI for Experienced Users is a two-day …
What you'll learn
Identify and retrieve data from data sources and understand the different connection methods.
Optimize query performance
Profile and examine the data and apply data shape transformations
Develop a scalable and performance data model
Enhance the data model with DAX using measures, calculated columns and tables
Use variables and aggregations to optimize model performance
Design and create reports and dashboards
Select and add appropriate visualizations
Create paginated reports
Perform Advanced Analytics
Create and manage workspaces
Manage datasets and dataset refresh
Apply row-level security
Tableau Server Administration (TTDTAB005)
Tableau Server Administration is a two-day course that provides new …
What you'll learn
User interactions with Tableau Server
Tableau Server components
Single-server installation
Content administration
Authorization and permissions
Users, groups, and sites
Data sources and extracts
Schedules, tasks, and subscriptions
Monitoring server status
Command-line utilities and REST API
Upgrading a single-server installation to a new version
Modifying the authentication method
Tableau Desktop Fundamentals (TTDTAB006)
Tableau Desktop Fundamentals is a two-day, hands-on course designed for …
What you'll learn
Connect to your data, and Edit and save a data source.
Understand Tableau terminology.
Connect to your data, and Edit and save a data source.
Use the Tableau interface / paradigm to effectively create powerful visualizations.
Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations.
Represent your data using the following visualization types: Cross Tabs, Geographic Maps, Heat Maps, Distribution Charts, Tree Maps, Pie Charts and Bar Charts, Dual Axis and Combo Charts with different mark types, Box Plots, Highlight Tables, Scatter Plots
Use Reference Lines to highlight elements of your data.
Use groups, bins, hierarchies, sorts, sets, and filters to create focused and effective visualizations
Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions.
Handle changes in your data source such as field addition, deletion or name changes.
Share your visualizations with others.
Combine your visualizations into Interactive Dashboards and publish them to the web.
