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.
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.
Jay AlammarDeepLearning.AI
In this course, you'll learn how a transformer network architecture that powers LLMs works. You'll build the intuition of how LLMs process text and work with code examples that illustrate the key components of the transformer architecture. By the end of this course, you’ll have a deep understanding of how LLMs process language and you’ll be able to read through papers describing models and understand the details that are used to describe these architectures.
Amit SanganiDeepLearning.AI
Join our new short course, Introducing Multimodal Llama 3.2, and learn from Amit Sangani, Senior Director of AI Partner Engineering at Meta, about the latest additions to the Llama models 3.1 and 3.2. Discover the new vision capabilities, tool-calling, and Llama Stack, an open-source orchestration layer for building on top of the Llama family of models. Start building exciting applications on Llama!
Fábio DuarteGetSmarter
In this course, you will gain a broad perspective on the future of real estate, including disruptions to commercial and residential properties, parking lots, curbsides, warehousing, and last mile delivery. You will understand how AI and self-driving vehicles are transforming the real estate industry and learn to leverage trends in micro-mobility, on-demand mobility, and self-driving vehicles for real estate investment opportunities. The course includes exposure to real city case studies and industry-relevant tools, equipping you with practical skills to navigate the evolving mobility landscape.
Rav AhujaCoursera
This specialization provides a thorough introduction to AI, covering its applications, use cases, and impact across industries. Learners will explore key concepts such as Machine Learning, Deep Learning, and Neural Networks, and gain practical experience by building and deploying an AI-enabled chatbot without coding. The course also covers IBM Watson AI services and the creation of intelligent virtual assistants, equipping learners with the skills needed to leverage AI in various scenarios.
John MaedaDeepLearning.AI
In this course, you’ll learn how to use and create with Microsoft’s open source orchestrator, Semantic Kernel. Along the way, you’ll gain skills in getting the most out of LLMs, developing prompts, semantic functions, vector databases, and using an LLM for planning. By the end of the course, you will be able to develop sophisticated business applications using LLMs, leverage common LLM building blocks, and utilize the open source orchestrator, Semantic Kernel, in your applications.
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.
Learn how AI applies to real scenarios and workflows.
Mustafa KapadiaMaven
This course is designed to help Product Managers automate 30+ key PM tasks using AI within the first hour. You will learn to craft precise prompts, build the right mindset, and take automation to the next level by building agents (GPTs) without coding. The course includes interactive live sessions, lifetime access to materials, and a project to apply your learnings.
Anshul RamachandranDeepLearning.AI
In this course, you'll explore the evolution of AI coding assistants and learn how to use Windsurf to code and build several applications. You'll gain insights into the challenges of AI coding agents, such as code search and discovery, and learn to manage unexpected AI behavior. By the end, you'll understand agentic coding in-depth and be able to use it to make your development process more efficient.
Harrison ChaseDeepLearning.AI
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. You will learn about models, prompts, parsers, memories for LLMs, chains, question answering over documents, and agents. 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.
Isa FulfordDeepLearning.AI
In Building Systems with the ChatGPT API, you will learn how to automate complex workflows using chain calls to a large language model. You will build chains of prompts that interact with the completions of prior prompts, systems where Python code interacts with both completions and new prompts, and a customer service chatbot using all the techniques from this course. This course is beginner-friendly and includes hands-on examples with built-in Jupyter notebooks for seamless experimentation.
Dr. Greg LoughnaneMaven
In this comprehensive bootcamp, you will learn to prototype LLM applications using best practices and the four primary patterns of Generative AI. The course covers prompt engineering, retrieval augmented generation, fine-tuning, and agent development. You'll build applications from quick prototypes to scalable production systems, using open-source LLMs and embedding models. The program also includes visibility and monitoring tools, ensuring you can evaluate and optimize your applications effectively.
Aman KhanMaven
In this course, you'll learn to build and deploy functional AI agents, define AI roadmaps, and evaluate AI product performance with robust metrics. You'll gain hands-on experience in prototyping, collaborating with AI engineers, and developing AI product strategies. This course is designed for PMs looking to transition from understanding AI concepts to shipping successful AI products.
Richmond AlakeDeepLearning.AI
In this course, you will learn how to use pre-filtering, post-filtering, and projection techniques to optimize query processing and output. You will also explore prompt compression techniques to handle long and expensive prompts in large-scale applications. Additionally, you will learn to combine vector search capabilities with traditional database operations to build efficient and cost-effective RAG applications. This course is ideal for Python developers, database enthusiasts, and AI practitioners looking to enhance their skills in these areas.
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.
Jacob LeeDeepLearning.AI
This course will show web developers how to expand their toolkits with LangChain.js, a popular JavaScript framework for building with LLMs. It covers useful concepts for creating powerful, context-aware applications. By taking this course, you will learn to use LangChain’s underlying abstractions to build your own JavaScript apps, understand the basics of retrieval augmented generation (RAG), and have the structure of a basic conversational retrieval system that you can use for building your own chatbots.
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.
Chi WangDeepLearning.AI
In AI Agentic Design Patterns with AutoGen, you will learn to build and customize multi-agent systems, enabling agents to take on different roles and collaborate to accomplish complex tasks using AutoGen. You will create various projects, including a two-agent chat, a customer onboarding experience, a high-quality blog post, a conversational chess game, and a coding agent for financial analysis. By the end of the course, you will have a solid understanding of agentic design patterns and be ready to implement multi-agent systems effectively.
Aman KhanMaven
In this course, you'll learn to build and deploy functional AI agents, define AI roadmaps, and evaluate AI product performance with robust metrics. You'll gain hands-on experience in prototyping, collaborating with AI engineers, and developing AI product strategies. This course is designed for PMs looking to transition from understanding AI concepts to shipping successful AI products.
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.
Jiantao JiaoDeepLearning.AI
In this course, you will learn two critical skills for building applications with LLMs: function-calling and structured data extraction. You will work with NexusRavenV2-13B, an open-source model fine-tuned for these tasks. The course covers forming prompts with function definitions, using LLM responses to call functions, handling multiple function calls, and building applications that process customer service transcripts. These skills will enable you to create advanced AI agents and assistants for various real-world applications.
Colin MatthewsMaven
In this course, you'll master AI prototyping tools and learn to build functional prototypes in minutes. You'll gain a fundamental understanding of software architecture, learn debugging strategies, and integrate your prototypes with popular platforms. The course includes live sessions, hands-on projects, and a supportive community to ensure you achieve your learning goals.
Harrison ChaseDeepLearning.AI
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. You will learn about models, prompts, parsers, memories for LLMs, chains, question answering over documents, and agents. 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.
