Doug TurnbullMaven
In this course, you'll learn how to enhance your search engine's relevance using Large Language Models (LLMs). The course covers query and document understanding, deploying LLMs to production, and making unstructured search structured. You'll gain insights into modern search techniques, helping your team achieve better outcomes faster.
Marcello RestelliCoursera
Dive into the world of artificial intelligence with this beginner-friendly specialization. Through five courses, you'll explore the technical foundations of AI, including machine learning and technologies, as well as ethical and legal considerations. Learn from experts and gain the skills needed to start building your own AI projects. This course is perfect for those looking to understand AI's current landscape and future potential.
Andrew NgDeepLearning.AI
In this Machine Learning in Production course, you will build intuition about designing a production ML system end-to-end: project scoping, data needs, modeling strategies, and deployment patterns and technologies. You will learn strategies for addressing common challenges in production like establishing a model baseline, addressing concept drift, and performing error analysis. You’ll follow a framework for developing, deploying, and continuously improving a productionized ML application.
Harrison ChaseDeepLearning.AI
In this course, you will learn how to build an agent with long-term memory by creating a personal email agent that can respond, ignore, and notify the user using writing, scheduling, and memory tools. You’ll develop your agent’s memory by adding facts to its memory store, providing examples to learn the user’s preferences, and optimizing system prompts to evolve instructions based on previous responses. This course will equip you with the skills to integrate semantic, episodic, and procedural memory into AI agents, enhancing their functionality and user interaction.
Andrew NgCoursera
In this course, you will learn the fundamental concepts of AI, including machine learning, deep learning, and data science. You will explore what AI can realistically achieve and how to identify opportunities to apply AI in your organization. The course also covers the ethical and social implications of AI, providing a well-rounded understanding of the field.
Jess GoldbergMaven
In this course, you'll gain a comprehensive understanding of how to transform your job search into a strategic plan. You'll learn to craft a step-by-step strategy that leads to interviews and offers, optimize your first impression, and master the art of negotiation. The course also covers networking techniques and the use of AI tools to enhance your career prospects.
Andrew NgDeepLearning.AI
In this course, you will learn the fundamentals of generative AI, including its capabilities and limitations. You will explore various AI tools and techniques, and gain hands-on experience with generative AI applications. The course also covers the impact of AI on business and society, providing you with the knowledge to develop effective AI strategies.
João MouraDeepLearning.AI
In this course, you will learn key principles of designing effective AI agents and organizing a team of AI agents to perform complex, multi-step tasks. You will apply these concepts to automate six common business processes. By the end of the course, you will have designed several multi-agent systems to assist you in common business processes and studied the key principles of AI agent systems.
Learn how AI applies to real scenarios and workflows.
Sung KimDeepLearning.AI
This course provides a comprehensive understanding of pretraining large language models. You'll learn to prepare data, configure models, and assess performance, with a focus on cost-effective strategies. The course covers creating high-quality datasets, using the Hugging Face library, and evaluating model performance with benchmark tasks.
Maheen SohailMaven
This course covers AI design fundamentals, the end-to-end design process for AI products, and career preparation in AI design. You will learn about AI models, key terminologies, design principles, and ethical considerations. The course includes live Q&As, discussions, mini-projects, and case studies to provide hands-on learning and practical experience.
Colt SteeleDeepLearning.AI
In this course, you will learn about Anthropic's approach to AI research, principles of AI safety, and the key differences between its models. You will gain hands-on experience with API requests, multimodal prompting, and tool use, culminating in a demo that combines these features to build an AI assistant capable of using a computer. This course is perfect for those looking to explore the cutting-edge capabilities of AI models in practical applications.
Ammaar ReshiMaven
In this practical course, you'll master AI tools to tell your own stories and share them with the world. You'll learn to work with GPT for storytelling, use AI image generation tools to create illustrations, and prepare your content for publishing. By the end of the course, you'll be a published author with your own paperback book to share with family, friends, and the internet.
Andrew NgDeepLearning.AI
In this specialization, you will learn the foundational concepts of deep learning, build and train neural networks, and apply them to various AI tasks. The program covers neural networks, hyperparameter tuning, convolutional networks, sequence models, and more. By the end, you will have the skills to build and apply deep learning models to real-world problems.
Heidi CulbertsonMaven
This course provides a deep understanding of the longevity landscape and older adult demographic. You will learn foundational knowledge of the age 50+ demographic, how to approach product usability for specific audiences, and a system for ideation to production. The course also covers an age-inclusive framework, AI-enabled tasks for persona and product personalization, and best practices for conversational AI design.
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.
Andrew NgDeepLearning.AI
In this course, you will gain a comprehensive understanding of AI technologies and their applications. You will learn about the workflow of machine learning and data science projects, AI terminology, and strategies for building AI projects. Additionally, you will explore the societal impact of AI, including issues like bias and job displacement. This course is ideal for non-technical business professionals, machine learning engineers, and data scientists looking to build a sustainable AI strategy.
Pranav RajpurkarDeepLearning.AI
In this Specialization, you will learn to diagnose diseases from x-rays and 3D MRI brain images, predict patient survival rates using tree-based models, estimate treatment effects using data from randomized trials, and automate the labeling of medical datasets using natural language processing. The course covers model interpretation, image segmentation, natural language extraction, and more.
Harrison ChaseDeepLearning.AI
In this course, you will explore the rapidly evolving landscape of LLMs and the libraries that support them. You will learn about new advancements like ChatGPT’s function calling capability and build a conversational agent using LangChain Expression Language (LCEL). The course will cover tasks such as tagging, extraction, tool selection, and routing. By the end of the course, you will be able to generate structured output, use LCEL to build applications, and apply function calling to various tasks.
Laurence MoroneyDeepLearning.AI
In this hands-on, four-course Professional Certificate program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. This program can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate.
Nikita NamjoshiDeepLearning.AI
In this course, you will explore the properties of word and sentence embeddings and learn how to use them to measure semantic similarity between texts. You will apply text embeddings for tasks such as classification, clustering, and outlier detection. Additionally, you will learn to modify the text generation behavior of an LLM by adjusting parameters like temperature, top-k, and top-p. The course also covers the application of the open-source ScaNN library for efficient semantic search and building a Q&A system by combining semantic search with an LLM.
João MouraDeepLearning.AI
In this course, you will learn to build agents that collaborate in complex workflows, integrating external tools and using different models to handle specific tasks efficiently. You will evaluate and enhance your agents by conducting performance tests and providing human feedback to train and optimize their performance. The course covers creating multi-agent systems to automate tasks such as project planning, lead scoring, data reporting, and large-scale content creation.
Charles PackerDeepLearning.AI
In this course, you will learn to build agentic memory into your applications using the Letta framework. Discover how an LLM agent can act as an operating system to manage memory, autonomously optimizing context use. You'll explore the key ideas behind the MemGPT paper, including the two tiers of memory and how agent states are turned into prompts. By the end, you'll be equipped to create adaptive, collaborative AI agents for tasks like research and HR.
Sharon ZhouDeepLearning.AI
In 'How Diffusion Models Work', you will explore the cutting-edge world of diffusion-based generative AI. This course will teach you to build a diffusion model from scratch, gain deep familiarity with the diffusion process, and acquire practical coding skills through labs on sampling, training diffusion models, building neural networks for noise prediction, and adding context for personalized image generation. By the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications.
Laurence MoroneyDeepLearning.AI
In this hands-on, four-course Professional Certificate program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. This program can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate.
