Dive into the fascinating world of AI Agents in this comprehensive learning path that transforms beginners into creators. You'll explore what agents truly are and discover the inner workings that make them tick, from decision-making algorithms to execution frameworks. The journey continues with an in-depth look at the tools agents leverage and tasks they excel at, preparing you for the hands-on lab where you'll build your very own agent from scratch. By the end, you'll have both theoretical knowledge and practical experience in creating these powerful digital assistants that are revolutionizing how we interact with technology and solve complex problems.

The Artificial Intelligence (AI) Driver's License is a new WWT initiative aimed at ensuring we are using AI safely and effectively for our customers. The Driver's License is a way for us to validate and certify that our employees have mastered basic AI competencies and are leveraging current AI best practices in all of our client engagements. This is WWT's public version of the AI Drivers License learning path and is encouraged to be shared with others!

Generative AI is a cutting-edge technology that has been making waves across various industries in recent years. Unlike traditional AI systems that are designed to analyze and interpret existing data, generative AI has the remarkable ability to create entirely new content, from text and images to music and even code. This revolutionary technology leverages complex machine learning algorithms and neural networks to understand patterns and structures in vast amounts of data, enabling it to generate original and often highly realistic outputs. As generative AI continues to evolve and improve, it promises to transform creative processes, problem-solving, and innovation across numerous fields, from art and entertainment to scientific research and product development. Learn about what Generative AI is and how it works, in this Learning Path.

Artificial Intelligence is transforming the world—but how much do we really understand about its origins, its capabilities, and the responsibilities that come with using it? "AI Unboxed: From Origins to Everyday Use" is a beginner-friendly course designed to provide a well-rounded understanding of AI. You'll travel through time to explore how AI evolved, learn how to use it ethically and responsibly, recognize its current limitations, and develop essential prompting skills to interact effectively with AI tools.

RAG, or Retrieval-Augmented Generation, is an AI solution that has gained popularity due to its ability to combine generative AI with external data sources to provide more accurate and up-to-date responses. However, these new abilities don't come without risk. In this learning path, you will gain a fundamental understanding of RAG security. Through a series of videos, you will explore topics such as RAG security risks, vector database security risks, and the best practices that can be used to help remediate some of these risks. Finally, you will take a look at all of it put together in the hands-on Training Data Poisoning lab.

Understand InfiniBand AI fabric through its lossless architecture, SHARP in-network computing, and real-world economics. Then experience a full operational lifecycle from day-zero design through UFM deployment and predictive maintenance, reinforced with hands-on lab practice. Learn how self-driving operations and InfiniBand technologies are shaping the next generation of AI factories.

In this learning path we will take you through HPE Private Cloud AI or HPE PCAI. We will guide you through all the components that make up the solution such as HPE GreenLake, Private Cloud AI, HPE Morpheus VM Essentials, GreenLake for Files storage array, HPE Ezmeral Container Platfrom and Aruba/NVIDIA switches. We will also allow you to interact with some hands on labs that will take you into both of our physical HPE Private Cloud AI environments including a small and medium setup.

The user of this learning path will learn the components of RoCE and why it is essential for clean, fast, and reliable AI/ML compute communication.

In this learning path, we cover NVIDIA's DGX systems and BasePOD infrastructure, detailing the setup, licensing, and management of Base Command Manager and DGX OS for high-performance AI workloads. They explain hardware requirements, network configurations, and system provisioning, emphasizing efficient resource management, scalability, and optimized AI model training across NVIDIA's cutting-edge computing platforms.

RAG, or Retrieval-Augmented Generation, is an AI solution that combines the power of Generative AI with external data sources to provide more accurate and up-to-date responses. This Learning Path explains the concept of RAG, its origins, and how it addresses key limitations of traditional GenAI systems. You'll learn about the benefits of RAG, including enhanced accuracy, reduced hallucinations, and its flexibility in integrating real-time information without the need for constant model retraining.

NVIDIA AI Enterprise (NVAIE) offers a robust suite of AI tools for various applications, including reasoning, speech & translation, biomedical, content generation, and route planning. It features community, NVIDIA, and custom models. NVAIE provides essential microservices such as NIM and CUDA-X used for security advisory, enterprise support, cluster management, and infrastructure optimization. Designed for cloud, data centers, workstations, and edge environments, NVAIE ensures scalable, secure, and efficient AI deployment.

In this Learning Path we will walk through the components that make up VMware Private AI Foundation. We will review how VMware has tied the traditional components of VCF like SDDC Manager, vCenter, vSAN, and NSX and paired it with new components like the Data Services Manager, Harbor, and Private AI Services to deliver VMware Private AI Foundation.