Program Overview
Harness the power of Generative AI (GenAI) and put yourself at the forefront of AI everywhere. As GenAI drives enterprise innovation, mastering its use across client, edge, and cloud platforms is crucial. This curriculum dives into GenAI, covering foundational concepts, large language models, and fine-tuning techniques. Explore cutting-edge applications like Stable Diffusion, Hugging Face, and more. Learn how GenAI operates on AI PCs and at the edge, and discover diverse AI PC use cases. Equip yourself with the knowledge of GenAI's hardware, software, and real-world applications to drive transformative change and success from the client to the cloud.
9 Courses
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This course provides a comprehensive introduction to Agentic AI, covering its fundamental principles and high-level operations. You will explore the evolution of artificial intelligence leading to the emergence of Agentic AI and learn to distinguish it from Generative AI. The course highlights industry-specific applications, including a case study on Intel’s semiconductor design, and offers insights into the future trajectory and potential impact of Agentic AI across sectors.
This course will cover Edge AI and its significance in various industries. The main focus will be on exploring Edge AI use cases in healthcare, manufacturing, retail, and smart cities. We will conclude by identifying Intel® hardware and software products that facilitate Edge AI deployments.
In this course we will define what is an AI PC and how the Intel® Core™ Ultra processor provides the best AI PC experience. We will then describe mainstream applications that benefit from an AI PC, including popular software offerings in collaboration, creativity, productivity, and security spaces. We will wrap up by identifying the tools that help an AI PC provide maximum benefit to a software developer.
This course will explore what is Edge AI and why it is important for many Edge applications. The course will address AI-enhanced vs. AI-centric workloads, hybrid AI and some of the challenges of Edge AI deployments. Finally we will cover the Intel® products that are critical for a successful Edge AI implementation.
This course will define an AI PC and its distinguishing processor components. We will explain the requirements and critical Intel products for building an AI PC, including Intel® Core™ Ultra processors and software tools such as OpenVINO™. The course will then compare the capabilities and performance differences between AI PCs and regular PCs and identify key use cases and practical applications of AI PCs for developers and mainstream users.
In this session, we will explore Stable Diffusion models and demonstrate how they can generate images from text prompts. We will showcase Hugging Face as a resource for sharing and deploying cutting-edge AI models, illustrating the combined benefits of advanced models, optimized software, and powerful hardware.
In this course, we will examine the foundational techniques involved in fine-tuning large language models to achieve task-specific enhancements. By fine-tuning context of LLMs, we can achieve tailored improvements in accuracy, domain relevance, and robustness. In addition, this course introduces parameter-efficient fine-tuning (PEFT) techniques such as those implemented in Hugging Face's PEFT library and explore ways Intel's optimized hardware and software enhances GenAI fine-tuning workflows.
In this session, we will explore the architecture of LLMs, focusing on transformers. We’ll also delve into the processes of pre-training and fine-tuning, which is critical to unleashing the full potential of Gen AI.
In this course, we'll explore the concepts that underpin Generative AI (or GenAI). Key focus areas include understanding the basics of machine learning, the fundamentals of natural language processing (NLP), fine tuning and retrieval-augmented generation (RAG). Also addressed will be the roles of CPUs vs GPUs and Intel's contribution to Artificial intelligence.