Sorry, we can not find any courses for this search.
You may want to check Our Hot Courses:
Beginner
Data Science & Big Data Overview: Tools, Tech & Modern Roles in the Data Driven Enterprise (TTDS6000)
$895.00
Data Science & Big Data Overview: Tools, Tech & Modern Roles in the Data Driven Enterprise (TTDS6000)
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
Expert
Generative AI for Decision Makers and Architects: A Practical Approach for Decision Makers and Architects (TTAI2102)
$995.00
Generative AI for Decision Makers and Architects: A Practical Approach for Decision Makers and Architects (TTAI2102)
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
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
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
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
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)
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)
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
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.
Beginner
Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise (TTAI2101)
$895.00
Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise (TTAI2101)
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.
