All courses
Div GargDeepLearning.AI
In this course, you'll delve into the world of AI browser agents, learning how they automate online tasks and the decision-making strategies they employ. You'll build agents that can scrape websites, fill out forms, and more, using the AgentQ framework to enhance their capabilities. By the end, you'll have a solid understanding of AI agents' current state and future directions.
Vasudev LalDeepLearning.AI
In this course, you will delve into the fascinating realm of Multimodal RAG, learning how to effectively chat with videos. The course offers a comprehensive understanding of generative AI, supported by practical code examples and video lessons. Designed for intermediate learners, it provides a unique opportunity to expand your AI knowledge and skills.
Aurimas GriciūnasMaven
This bootcamp offers a comprehensive journey into AI engineering, focusing on building production-grade AI systems. Participants will learn to design, build, and deploy AI solutions using cutting-edge technologies like LLM APIs, vector databases, and AI agent libraries. The course emphasizes practical application, with each concept directly applied to a capstone project, ensuring learners gain real-world engineering skills.
Mark LaurenceMaven
Participants will learn the five strategic steps to build an AI-forward business, master AI prompting, and deploy a framework-led diagnosis of their company's AI maturity. The course aims to transform senior leadership teams from AI novices to AI-literate leaders capable of driving AI adoption at scale.
Antje BarthDeepLearning.AI
This course provides a comprehensive understanding of generative AI, covering key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection to performance evaluation and deployment. You will learn about the transformer architecture, empirical scaling laws, and state-of-the-art training, tuning, inference, tools, and deployment methods. The course also discusses the challenges and opportunities that generative AI creates for businesses, with insights from industry researchers and practitioners.
Laurence MoroneyDeepLearning.AI
In this four-course Specialization, you’ll learn how to get your machine learning models into the hands of real people on all kinds of devices. Start by understanding how to train and run machine learning models in browsers and in mobile applications. Learn how to leverage built-in datasets with just a few lines of code, learn about data pipelines with TensorFlow data services, use APIs to control data splitting, process all types of unstructured data and retrain deployed models with user data while maintaining data privacy. Apply your knowledge in various deployment scenarios and get introduced to TensorFlow Serving, TensorFlow, Hub, TensorBoard, and more.
João AscensãoOne Month PM
This course covers everything from the basics of AI and data science to advanced product management techniques. You will learn how to frame AI problems, develop AI products, and strategize using data. The course also includes live Q&A sessions with industry leaders, providing practical insights into managing AI-driven products.
Sara DavisonMaven
In this course, you will learn essential AI fundamentals for business growth, key AI concepts, platforms, and tools, and how to create and use a Business Second Brain. You'll also learn the fundamentals of prompt engineering, advanced techniques for multi-step workflows, and strategies to align AI-generated content with your brand voice. By the end of the course, you'll be able to identify AI opportunities within your business, craft effective prompts, build and prepare an AI assistant for deployment, and integrate AI assistants with your knowledge base.
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.
Jay AlammarDeepLearning.AI
In this course, you will learn how to implement basic keyword search, enhance it with the rerank method, and use embeddings for dense retrieval. You will gain hands-on practice with large amounts of data and learn to overcome challenges like varying search results and accuracy. By the end of the course, you will be able to implement language model-powered search into your website or project.
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.
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.
Andrew NgDeepLearning.AI
AI Python for Beginners is designed to help you leverage the power of Python programming, even if your goal isn’t to become a software developer or AI engineer. This four-part course teaches you to code practical AI applications from day one, even if you’ve never programmed before. You’ll learn with support from an AI chatbot that can provide you with immediate feedback, quickly fix bugs, and keep you on track while learning new skills. You’ll gain a foundational understanding of Python while building AI-powered tools like custom recipe generators, smart to-do lists, and vacation planners, and you will learn essential programming concepts such as variables, functions, loops, and data structures.
Aurimas GriciūnasMaven
This bootcamp offers a comprehensive journey into AI engineering, focusing on building production-grade AI systems. Participants will learn to design, build, and deploy AI applications using cutting-edge technologies like LLM APIs, vector databases, and AI agent libraries. The course emphasizes practical skills, enabling learners to create a capstone project that demonstrates their ability to solve real-world business challenges.
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.
Harrison ChaseDeepLearning.AI
In this course, you will delve into the fundamentals of data loading, document splitting, vector stores, and embeddings. You will learn advanced techniques for data retrieval and build a one-pass question-answering solution. By the end of the course, you will be able to create a chatbot that interacts with data using LangChain and LLMs.
