All courses
Dr. Marily NikaMaven
In this course, you will learn how to run teams that integrate AI into your product strategy, work with engineering and ML Ops teams, and navigate the ethical and regulatory issues surrounding AI. The course provides hands-on experience through case studies and practical exercises, simulating real-world scenarios. You will also gain insights from guest speakers who are industry leaders in AI.
Jeremy KirshbaumMaven
In this course, you will master design patterns for AI agents, forecast the AI agent landscape, and build your own agents using state-of-the-art no-code methods. You will create a unique innovation portfolio and gain access to a wealth of resources, including step-by-step instructions, async lectures, training guides, and decision-making worksheets. The course includes interactive live sessions, lifetime access to materials, and personalized support through 1:1 coaching sessions and office hours.
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.
edX LearningedX
This course will help you better understand AI and how you can more effectively interact with it. Learn to craft AI prompts to avoid AI hallucinations, use examples and data in your prompts, and utilize key words to improve AI responses.
Chris ButlerMaven
This course dives into the new paradigms and frameworks product leaders and designers are using to incorporate AI into their products. Through case studies, live workshops, and projects, you will learn to apply ethical, bias, fairness, and other guardrails to AI/ML products. The course features real examples from GitHub, Google, Cognizant, and Facebook Reality Labs’ Portal device.
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.
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.
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.
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.
Thomas WolfDeepLearning.AI
In this course, you'll explore the evolution of agentic systems and learn why code agents are the next big step. You'll gain insights into the core idea of code agents, their benefits, and how to run them safely using a constrained Python interpreter. By the end, you'll be equipped to build and deploy code agents, ready to optimize their performance in real-world applications.
Will KurtDeepLearning.AI
In this course, you will gain a comprehensive understanding of structured outputs and their significance in software development. You will learn to generate structured outputs using APIs, re-prompting libraries, and constrained decoding. The course includes practical exercises like building a social media agent and using Pydantic for defining structured outputs. By the end, you'll be equipped with the skills to implement structured outputs in your LLM applications, enhancing your ability to create scalable and efficient software solutions.
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.
Josh StarmerDeepLearning.AI
In this course, you will delve into the attention mechanism, a key component of transformers, and learn how to implement it using PyTorch. You'll explore the relationships between word embeddings, positional embeddings, and attention, and understand the roles of Query, Key, and Value matrices. The course covers self-attention, masked self-attention, and cross-attention, providing a comprehensive understanding of how these concepts are incorporated into transformers. By the end, you'll be equipped with the knowledge to build reliable and scalable AI applications.
Ishan AnandMaven
This course demystifies AI and teaches you exactly how Large Language Models (LLMs) like GPT-2 work, with no prerequisites beyond a STEM background. Using a unique spreadsheet implementation of GPT-2, we’ll break down each model component with crystal-clear explanations. Gain AI literacy, build a foundation for further AI projects, and confidently lead AI-driven teams.
Nicolas BoucherMaven
In this course, you will learn how to give advanced instructions to Generative AI, use it for financial analysis, solve confidential data issues, and build your own GPT for finance. You will also learn to use Python for financial analysis without needing to code. The course includes live sessions, self-paced videos, and a comprehensive set of resources to help you master these skills.
Matt RobinsonDeepLearning.AI
This course will teach you how to preprocess data for LLM application development, focusing on working with different document types. You will learn to extract and normalize various documents into a common JSON format, enrich it with metadata, and apply techniques for document image analysis to preprocess PDFs, images, and tables. By the end of the course, you will be able to build a RAG bot capable of ingesting different documents and apply these skills to real-world scenarios.
