All courses
Younes BelkadaDeepLearning.AI
In this course, you will learn how to compress models using linear quantization and downcasting techniques. You will gain a foundation in quantization methods, enabling you to optimize generative AI models for better performance on various devices. By the end of the course, you will be able to apply these techniques to your own models, making them more efficient and accessible.
Mahesh YadavMaven
Drawing from Mahesh Yadav's extensive experience in AI/ML product management at leading companies like Facebook, AWS, and Google, this course addresses the critical gap in understanding AI/PM product basics and technical concepts. It includes hands-on labs to build your AI product portfolio, practical lab sessions, and effective product requirement documents (PRDs). The course prepares you for real-life interview settings and your AI PM career.
edX LearningedX
Welcome to a transformative learning experience designed to enhance your personal and professional growth. Our course empowers you to foster a growth mindset, embrace continuous learning, and master learning how to learn. Gain practical knowledge that you can apply immediately in your personal and professional life, with AI assistance to guide your learning journey.
Michele CatastaDeepLearning.AI
In this course, you'll explore the growing practice of 'vibe coding' where AI coding agents assist in the development process. You'll learn to structure your work, refine prompts, and use frameworks for cleaner, more efficient code. By building two web applications, you'll gain hands-on experience with Replit's tools and improve your development skills.
Allie K. MillerMaven
This course offers a well-rounded approach to AI learning, tailored specifically for business leaders and executives. You'll learn how to contextualize AI into your business, find and prioritize AI use cases, and deploy AI responsibly. The course includes real-world tactics for AI execution, change management strategies, and insights into building an AI-focused culture. Benefit from the wisdom of world-class guest speakers and gain practical advice to enhance your organization's skills.
Sharon ZhouDeepLearning.AI
In this course, you will learn to improve the accuracy of LLM applications by understanding development steps from evaluation to fine-tuning. You will explore memory tuning to enhance model performance and use the Llama 3-8b model to build an LLM application that converts text to SQL. The course covers prompt engineering, self-reflection, and fine-tuning techniques like LoRA and memory tuning to reduce hallucinations.
Travis AddairDeepLearning.AI
In this course, you will learn how auto-regressive large language models generate text one token at a time. You will implement the foundational elements of a modern LLM inference stack in code, including KV caching, continuous batching, and model quantization, and benchmark their impacts on inference throughput and latency. You will explore the details of how LoRA adapters work and learn how batching techniques allow different LoRA adapters to be served to multiple customers simultaneously. Get hands-on with Predibase’s LoRAX framework inference server to see these optimization techniques implemented in a real-world LLM inference server. Knowing more about how LLM servers operate under the hood will greatly enhance your understanding of the options you have to increase the performance and efficiency of your LLM-powered applications.
Miguel AmigotedX
Are you fascinated by the potential of AI and language models in healthcare? Join our How to Use ChatGPT in Healthcare course and delve into the transformative impact of ChatGPT in the industry. Explore a wide range of use cases that highlight its limitless potential in patient care, data accessibility, and healthcare administration. Gain a comprehensive understanding of the ethical and legal considerations surrounding the implementation of this technology. With this knowledge, you'll be empowered to apply ChatGPT in your day-to-day activities, revolutionizing the way you provide care, access medical data, and streamline administrative tasks. Don't miss out on this opportunity to be at the forefront of healthcare innovation. Enroll now and unlock the extraordinary power of ChatGPT in healthcare.
Amir FeizpourMaven
This course will teach you the core principles of multi-agent LLM systems, how to design and build them, and how to integrate them into existing products. You will learn about optimizing teamwork, managing complex information flow, and ensuring security. By the end of the course, you will be able to design and build robust multi-agent LLM systems that enhance user experience, productivity, and business metrics.
Robert MonarchDeepLearning.AI
In this specialization, you will master a step-by-step framework for developing AI projects. You will analyze data and build AI models for projects focused on air quality, wind energy, biodiversity monitoring, and disaster management. Through real-world case studies, you will explore public health, climate change, and disaster management, and develop practical skills to make a positive impact using AI.
Julio ColomerUdemy
In this Bootcamp, you will delve into the world of Generative AI and LLM Applications, learning to build professional-level applications and manage LLMOps. The course covers AI's impact on businesses, startups, and employment, and provides practical skills in app development using tools like Cursor AI. By the end, you'll be equipped to introduce AI into your business, create AI startups, and expand your professional opportunities in the AI field.
Hamza FarooqMaven
This course is designed to introduce you to Large Language Models in deeper detail, covering Transformer Architecture and how to utilize Encoder and Decoder Models. You will learn to build retrieval systems and utilize Open Source LLMs to create RAG-based architectures. By the end of the course, you will have a comprehensive understanding of the end-to-end machine learning pipeline, enabling you to tackle practical machine learning problems and deliver results in production.
Blake EmalMaven
In AI Marketing 101, you'll learn how to leverage AI tools to streamline your marketing tasks. From writing great prompts to generating A+ content for SEO, ads, and content marketing, this course covers it all. You'll also learn how to build repeatable processes and automate key parts of your workflow using tools like ChatGPT, Notion AI, and DALL-E 3.
Krishna SridharDeepLearning.AI
This course provides comprehensive training on deploying AI models on edge devices, reducing latency, enhancing efficiency, and preserving privacy. You will learn key concepts such as neural network graph capture, on-device compilation, and hardware acceleration. The course includes practical exercises like converting pretrained models from PyTorch and TensorFlow, deploying real-time image segmentation models, and integrating models into Android apps. By the end of the course, you will be equipped to develop and deploy AI models on billions of devices, optimizing them for efficient on-device performance.
Ritesh VajariyaMaven
Through hands-on projects and expert guidance, you'll master the art of prompt engineering, enabling you to effectively communicate with and guide LLMs to achieve desired outcomes. You'll explore cutting-edge techniques like Retrieval Augmented Generation (RAG) and fine-tuning, empowering you to build sophisticated AI systems that can process and generate human-like text. As you progress through the course, you'll develop the skills to create agentic systems that can autonomously perform complex tasks and make intelligent decisions. You'll also learn best practices for deploying and monitoring LLM applications in production environments, ensuring scalability and reliability. By the end of this course, you'll have a robust portfolio of Generative AI projects showcasing your ability to leverage LLMs for various engineering applications. You'll be equipped with the knowledge and practical experience needed to drive innovation in your organization and make a significant impact in the field of AI engineering.
Mike TaylorUdemy
This bootcamp is your one-stop solution to becoming a Prompt Engineer working with cutting-edge AI tools like GPT-4, Stable Diffusion, and GitHub Copilot. You'll learn the strengths and weaknesses of major AI models, recognize the 'Five Principles of Prompting', and apply your knowledge to generate new AI products in 15+ real-world projects. Understand the Python coding patterns and tooling needed to run and scale AI reliably in production, and start working as an AI Engineer.
