Sophia YangDeepLearning.AI

In this course, you’ll access Mistral AI’s collection of open source and commercial models, including the Mixtral 8x7B model, and the latest Mixtral 8x22B. You’ll learn about selecting the right model for your use case, and get hands-on with features like effective prompting techniques, function calling, JSON mode, and Retrieval Augmented Generation (RAG). By the end of this course, you’ll be equipped to leverage Mistral AI’s leading open source and commercial models.

Elie SchoppikDeepLearning.AI

In this course, you will explore the Model Context Protocol (MCP) and its role in standardizing AI application development. Learn to build and deploy MCP servers, create MCP-compatible applications, and connect AI applications to external systems. By the end, you'll be equipped to develop AI applications with rich context and minimal integration work.

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.

Maaike GroenewegeMaven

This course provides a comprehensive introduction to designing Generative AI applications with a focus on user-centered design. You'll learn about the three core components of a well-designed GenAI application: prompts, workflows, and retrieval augmented generation. The course includes theory, hands-on projects, and the use of various GenAI tools. You'll also have the opportunity to connect with other professionals in the field and learn together in small, interactive groups.

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.

Dr. Nancy LiMaven

In this bootcamp, you will lead a team of AI engineers, data scientists, and designers to build and launch a real AI product. You'll learn AI product strategy, validate user pain points, design and prototype with experts, and launch your product publicly. The course provides resume help, job referrals, and the opportunity to apply for seed funding and incubators.

Dave KlineMaven

In this course, you'll build a codified management playbook, develop a Management OS, and refine your leadership decision-making system. You'll learn to leverage AI prompts and tools, set team goals, delegate efficiently, and establish performance metrics. Join a community of 1200+ alums and leave with a comprehensive management approach.

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.

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.

Ross DawsonMaven

In this transformative course, you will dive deep into the landscape of cognition-enhancing AI, learning how to leverage advanced AI techniques to augment your thinking. You will identify the most impactful use cases for your work and master sophisticated strategies that will take your value creation to new heights. By applying cutting-edge AI-augmented thinking strategies, you will pinpoint the most effective pathways to make smarter decisions, solve problems more creatively, and achieve your goals with greater precision and clarity.

Amit SanganiDeepLearning.AI

In this course, you will explore the Llama 4 models, learning how to utilize their Mixture-of-Experts architecture for efficient application development. You'll gain practical experience with image reasoning, image grounding, and long-context text processing. The course also covers prompt optimization and synthetic data creation, equipping you with the skills to build production-ready features that span text, images, and massive context. By the end, you'll be able to confidently choose and implement the right Llama 4 model for your projects.

Harrison ChaseDeepLearning.AI

In this course, you will learn to build an agent from scratch using Python and an LLM, and then rebuild it using LangGraph. You will explore LangGraph’s components and how to combine them to build flow-based applications. Additionally, you will learn about agentic search, which returns multiple answers in an agent-friendly format, enhancing the agent’s built-in knowledge. The course also covers implementing persistence in agents, enabling state management across multiple threads, conversation switching, and the ability to reload previous states. You will incorporate human-in-the-loop into agent systems and develop an agent for essay writing, replicating the workflow of a researcher working on this task.

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.

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 applications like building a social media agent and using Pydantic for defining structured outputs. By the end, you will be equipped with the knowledge to implement structured outputs in your LLM applications, enhancing your ability to develop scalable and efficient software solutions.

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.

Apolinário PassosDeepLearning.AI

In this course, you will learn how to create and demo machine learning applications quickly using Gradio. You will build your own image generation, image captioning, and text-summarization apps. Additionally, you will learn to share your app with teammates, beta testers, and more on Hugging Face Spaces. By the end of the course, you will have the skills to rapidly build interactive apps and demos to validate your project and ship faster.

Josh StarmerDeepLearning.AI

Dive deep into the attention mechanism that revolutionized AI with transformers. This course, taught by Josh Starmer, covers the evolution of attention, the role of Query, Key, and Value matrices, and the differences between self-attention and masked self-attention. Gain hands-on experience coding these concepts in PyTorch, and understand how they contribute to building scalable AI applications.

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.

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.

Dr. Marily NikaMaven

In this comprehensive bootcamp, you'll learn from top industry experts, including Google's Marily Nika, to master AI Product Management. The course covers technical and strategic aspects, offering live sessions, practical exercises, and a capstone project. You'll gain skills in AI development, metrics, strategy, and more, preparing you to lead AI initiatives in your organization.

edX LearningedX

Enroll in our Intro to AI Applications and Prompt Engineering course to see how you can make AI work for you. By the end of the course, you will be able to articulate key benefits and limitations of generative AI, understand how to use AI applications and prompt engineering to drive results, and create an AI-powered API application.

Mindstone's CEOMindstone

In this intensive weekend course, you'll move from AI curiosity to confidently leading AI-driven projects. With no coding required, you'll build real applications, develop a working prototype, and leave with a concrete plan to implement AI innovations. Benefit from expert guidance, an exclusive network, and a comprehensive implementation playbook.

Germán LeónMaven

In this course, you will learn to design AI solutions that effectively meet user needs, rapidly prototype and iterate AI products using AI/UX design methods, navigate ethical considerations in AI product design, and develop and pitch a comprehensive AI product. The course includes interactive live sessions, lifetime access to course materials, in-depth lessons, direct access to the instructor, projects to apply learnings, guided feedback, and a private community of peers.

Dr. Nancy LiMaven

In this bootcamp, you will lead a team of AI engineers, data scientists, and designers to build and launch a real AI product. You'll learn AI product strategy, validate user pain points, design and prototype with experts, and launch your product publicly. The course provides resume help, job referrals, and the opportunity to apply for seed funding and incubators.